This document proposes an assignment for teaching undergraduate students about information system modeling in an integrated way that considers both data and process constraints. Traditionally, data and process modeling are taught separately in different courses. However, the authors argue this fragmented approach leads to students being unable to leverage the synergy between data and process constraints when modeling systems. The proposed assignment requires students to model an information system for a private teaching institute considering both data and process requirements. It aims to address challenges experienced by students when modeling these aspects separately. A new tool is also proposed to support representing the interplay between data and process constraints in an integrated model.
The document discusses using a three-phase modeling approach to plan improvements to a university's student information management system. The phases included: 1) evaluating the existing "as is" system, 2) analyzing it to identify areas for improvement and design a proposed "to be" system, and 3) adding real-world considerations to create practical solutions. A case study on improving an inconsistent student attendance monitoring system demonstrated applying the modeling techniques. The modeling led to the conclusion that sub-systems for different functional areas were needed, but core data sharing between them was important for effective management.
Information systems planning using a synthesis of modelling techniquesTony Toole
The document discusses using three modeling techniques - Enterprise Architecture, Viable Systems, and Soft Systems modeling - to plan improvements to a university's student information management system. It provides examples of "as is" models created for several processes using Enterprise Architecture modeling to identify issues. Viable Systems modeling examines communications and control, identifying bottlenecks. A synthesis of the techniques aims to design practical, achievable solutions for the "to be" system that recognize human factors. The modeling approaches collectively provide a richer picture than any single technique alone.
Information systems planning using a synthesis of modelling techniquesTony Toole
This document discusses using three modeling techniques - Enterprise Architecture, Viable Systems, and Soft Systems - to plan improvements to a university's student information management system. It provides an overview of each technique and examples of Enterprise Architecture models created for the existing system. The models identify issues like inconsistent processes for student attendance monitoring. The modeling aims to develop a richer understanding of the system to design a more effective "to-be" system that addresses identified problems and inefficiencies.
1. SSM focuses on how stakeholders perceive a system works rather than just its technical aspects. It aims to reconcile differences between how stakeholders think a system works versus how it's intended.
2. An example examines academic staff's difficulties using an online assessment reporting system, which they find unintuitive and stressful due to infrequent use and lack of computer skills.
3. Defining problems from stakeholders' viewpoints allows identifying feasible solutions like redesigning the system interface to better meet users' needs and recognizing their diversity. The goal is aligning how stakeholders think a system works, should
We present the unique expertise discovery technique, its primary shortcomings, and some potential solutions to clear them up in this study paper, which surveys the applications of association rule mining in e-learning knowledge of structures, notably getting to know control systems.
Collaborative Learning of Organisational KnolwedgeWaqas Tariq
This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative envi- ronments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowledge sharing in modern organisational cultures. This research focuses on user models, knowledge acquisition and integration of data for constructivist learning in a networked repository of or- ganisational knowledge. The data collected in the repository is searched to provide collections of up-to-date and relevant material for training in a work environment. The aim is to improve knowledge collection and sharing in a team envi- ronment. This knowledge can then be collated into a story or workflow that represents the present knowledge in the organisation.
Note References should be 2015 or laterWrite 300 words on Dis.docxcurwenmichaela
Note: References should be 2015 or later
Write 300 words on Discussion Topic
Introduction to Management Information Systems
Read at least three (3) academically reviewed articles on Management Information Systems and complete the following activities:
(Wikipedia articles will not be accepted. Professor will check originality of all posts).
1. Summarize all three (3) articles in 300 words or more. Please use your own words. No copy-and-paste
2. Discuss at least 3 different concepts presented in the articles. As an IT professional, how would you apply the three (3) concepts you identified.
Please use APA throughout.
Read and respond to at least two (2) of your classmates' posts. In your response to your classmates, consider comparing your articles to those of your classmates. Below are additional suggestions on how to respond to your classmates’ discussions:
· Ask a probing question, substantiated with additional background information, evidence or research.
· Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.
· Offer and support an alternative perspective using readings from the classroom or from your own research.
· Validate an idea with your own experience and additional research.
· Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings.
· Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.Respond for following 2 discussions
RESPOND TO THIS DISCUSSION 1 IN 150 WORDS
1)Module 1 Discussion
1 day ago
Read at least three (3) academically reviewed articles on Management Information Systems and complete the following activities:
(Wikipedia articles will not be accepted. Professor will check originality of all posts).
1. Summarize all three (3) articles in 300 words or more. Please use your own words. No copy-and-paste
2. Discuss at least 3 different concepts presented in the articles. As an IT professional, how would you apply the three (3) concepts you identified.
After reviewing these three articles in Management Information Systems, we can distribute MIS into different sections:
Data Science:
This is defined as the field of scientific methods/ functions, processes, algorithm as well as extraction of data. The major concepts involved are data analytics, machine learning, statistics. Multiple research, analysis is needed in this process because of which a statistic plays a vital role. The future of data science is Donohoe project which would use the academic publications which are meant to be accessible for researches. The use of predictive tools helps in expanding and extracting the data.
Health Care information system:
It is a system which helps to provide information about the communication system and technology which helps to enhance the quality of care for the patients, improve medical education, and make innovations to th ...
This document outlines the course requirements for a degree in Business Information Systems. In year 1, students take compulsory modules that introduce them to the systems development lifecycle, different types of information systems, data modeling, and how organizations and businesses function. In year 2, compulsory modules focus on database design, decision support systems, systems analysis and design, and research skills. The final year includes a compulsory IS project module and optional modules on social/ethical issues, innovation/technology management, and strategic management. The goal is to equip students with theoretical and practical skills for information systems roles.
The document discusses using a three-phase modeling approach to plan improvements to a university's student information management system. The phases included: 1) evaluating the existing "as is" system, 2) analyzing it to identify areas for improvement and design a proposed "to be" system, and 3) adding real-world considerations to create practical solutions. A case study on improving an inconsistent student attendance monitoring system demonstrated applying the modeling techniques. The modeling led to the conclusion that sub-systems for different functional areas were needed, but core data sharing between them was important for effective management.
Information systems planning using a synthesis of modelling techniquesTony Toole
The document discusses using three modeling techniques - Enterprise Architecture, Viable Systems, and Soft Systems modeling - to plan improvements to a university's student information management system. It provides examples of "as is" models created for several processes using Enterprise Architecture modeling to identify issues. Viable Systems modeling examines communications and control, identifying bottlenecks. A synthesis of the techniques aims to design practical, achievable solutions for the "to be" system that recognize human factors. The modeling approaches collectively provide a richer picture than any single technique alone.
Information systems planning using a synthesis of modelling techniquesTony Toole
This document discusses using three modeling techniques - Enterprise Architecture, Viable Systems, and Soft Systems - to plan improvements to a university's student information management system. It provides an overview of each technique and examples of Enterprise Architecture models created for the existing system. The models identify issues like inconsistent processes for student attendance monitoring. The modeling aims to develop a richer understanding of the system to design a more effective "to-be" system that addresses identified problems and inefficiencies.
1. SSM focuses on how stakeholders perceive a system works rather than just its technical aspects. It aims to reconcile differences between how stakeholders think a system works versus how it's intended.
2. An example examines academic staff's difficulties using an online assessment reporting system, which they find unintuitive and stressful due to infrequent use and lack of computer skills.
3. Defining problems from stakeholders' viewpoints allows identifying feasible solutions like redesigning the system interface to better meet users' needs and recognizing their diversity. The goal is aligning how stakeholders think a system works, should
We present the unique expertise discovery technique, its primary shortcomings, and some potential solutions to clear them up in this study paper, which surveys the applications of association rule mining in e-learning knowledge of structures, notably getting to know control systems.
Collaborative Learning of Organisational KnolwedgeWaqas Tariq
This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative envi- ronments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowledge sharing in modern organisational cultures. This research focuses on user models, knowledge acquisition and integration of data for constructivist learning in a networked repository of or- ganisational knowledge. The data collected in the repository is searched to provide collections of up-to-date and relevant material for training in a work environment. The aim is to improve knowledge collection and sharing in a team envi- ronment. This knowledge can then be collated into a story or workflow that represents the present knowledge in the organisation.
Note References should be 2015 or laterWrite 300 words on Dis.docxcurwenmichaela
Note: References should be 2015 or later
Write 300 words on Discussion Topic
Introduction to Management Information Systems
Read at least three (3) academically reviewed articles on Management Information Systems and complete the following activities:
(Wikipedia articles will not be accepted. Professor will check originality of all posts).
1. Summarize all three (3) articles in 300 words or more. Please use your own words. No copy-and-paste
2. Discuss at least 3 different concepts presented in the articles. As an IT professional, how would you apply the three (3) concepts you identified.
Please use APA throughout.
Read and respond to at least two (2) of your classmates' posts. In your response to your classmates, consider comparing your articles to those of your classmates. Below are additional suggestions on how to respond to your classmates’ discussions:
· Ask a probing question, substantiated with additional background information, evidence or research.
· Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.
· Offer and support an alternative perspective using readings from the classroom or from your own research.
· Validate an idea with your own experience and additional research.
· Make a suggestion based on additional evidence drawn from readings or after synthesizing multiple postings.
· Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.Respond for following 2 discussions
RESPOND TO THIS DISCUSSION 1 IN 150 WORDS
1)Module 1 Discussion
1 day ago
Read at least three (3) academically reviewed articles on Management Information Systems and complete the following activities:
(Wikipedia articles will not be accepted. Professor will check originality of all posts).
1. Summarize all three (3) articles in 300 words or more. Please use your own words. No copy-and-paste
2. Discuss at least 3 different concepts presented in the articles. As an IT professional, how would you apply the three (3) concepts you identified.
After reviewing these three articles in Management Information Systems, we can distribute MIS into different sections:
Data Science:
This is defined as the field of scientific methods/ functions, processes, algorithm as well as extraction of data. The major concepts involved are data analytics, machine learning, statistics. Multiple research, analysis is needed in this process because of which a statistic plays a vital role. The future of data science is Donohoe project which would use the academic publications which are meant to be accessible for researches. The use of predictive tools helps in expanding and extracting the data.
Health Care information system:
It is a system which helps to provide information about the communication system and technology which helps to enhance the quality of care for the patients, improve medical education, and make innovations to th ...
This document outlines the course requirements for a degree in Business Information Systems. In year 1, students take compulsory modules that introduce them to the systems development lifecycle, different types of information systems, data modeling, and how organizations and businesses function. In year 2, compulsory modules focus on database design, decision support systems, systems analysis and design, and research skills. The final year includes a compulsory IS project module and optional modules on social/ethical issues, innovation/technology management, and strategic management. The goal is to equip students with theoretical and practical skills for information systems roles.
MBA 5401, Management Information Systems 1 Course Descri.docxARIV4
MBA 5401, Management Information Systems 1
Course Description
Considers the theory and practice of management information systems, including information requirements analysis,
design methodology, and system implementation considerations. Topics include new technology convergence,
management of disrupted technology, technology impacts, and business continuity planning.
Course eTextbook
Laudon, K. C., & Laudon, J. P. (2016). Management information systems: Managing the digital firm [VitalSource
Bookshelf version] (14th ed.). Retrieved from https://bookshelf.vitalsource.com/#/books/9781323309568/
Course Learning Outcomes
Upon completion of this course, students should be able to:
1. Summarize the complexities of information technology practices.
2. Describe the role of the information technology professional within an organization.
3. Evaluate the process of developing an information system for an organization.
4. Explain how information technology systems influence organizational strategies.
5. Examine information systems decision-making from a managerial perspective.
6. Compare and contrast databases and database management.
7. Evaluate the driving ethical issues of information systems.
8. Analyze the importance of software, hardware, and telecommunications to the business.
9. Examine advanced information systems solutions such as ERP (enterprise resource planning) and SAP (software
application and products).
10. Explain important information systems compliance and security considerations.
Credits
Upon completion of this course, the students will earn three (3) hours of college credit.
Course Structure
1. Study Guide: Each unit contains a Study Guide that provides students with the learning outcomes, unit lesson,
required reading assignments, and supplemental resources.
2. Learning Outcomes: Each unit contains Learning Outcomes that specify the measurable skills and knowledge
students should gain upon completion of the unit.
3. Unit Lesson: Each unit contains a Unit Lesson, which discusses lesson material.
4. Reading Assignments: Each unit contains Reading Assignments from one or more chapters from the textbook.
5. Suggested Reading: Suggested Readings are listed in each unit’s study guide. Students are encouraged to read
the resources listed if the opportunity arises, but they will not be tested on their knowledge of the Suggested
Readings.
6. Learning Activities (Non-Graded): These non-graded Learning Activities are provided to aid students in their
course of study.
7. Discussion Boards: Discussion Boards are part of all CSU term courses. More information and specifications
can be found in the Student Resources link listed in the Course Menu bar.
8. Unit Assessments: This course contains six Unit Assessments, one to be completed at the end of Units I, III-VI,
and VIII. Assessments are composed of written-response questions.
MBA 5401, Management
Information Syst ...
Data modeling is the process of creating a visual representation of data within an information system to illustrate the relationships between different data types and structures. The goal is to model data at conceptual, logical, and physical levels to support business needs and requirements. Conceptual models provide an overview of key entities and relationships, logical models add greater detail, and physical models specify how data will be stored in databases. Data modeling benefits include reduced errors, improved communication and performance, and easier management of data mapping.
This document provides an overview of a Management Information Systems syllabus. It outlines 5 units that will be covered: Foundation of Information Systems, Management Information Systems, Concepts of Planning & Control, Business Applications of Information Technology, and Managing Information Technology. Each unit describes its goals and objectives. The goals aim to provide students with a broad introductory understanding of information systems within organizational contexts. The objectives focus on topics like the role of IS in business, IS architecture, emerging technologies, security/ethics of IS, and using IS for competitive advantage and strategic planning.
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Eswar Publications
E-learning plays an important role in providing required and well formed knowledge to a learner. The medium of e- learning has achieved advancement in various fields such as adaptive e-learning systems. The need for enhancing e-learning semantically can enhance the retrieval and adaptability of the learning curriculum. This paper provides a semantically enhanced module based e-learning for computer science programme on a learnercentric perspective. The learners are categorized based on their proficiency for providing personalized learning environment for users. Learning disorders on the platform of e-learning still require lots of research. Therefore, this paper also provides a personalized assessment theoretical model for alphabet learning with learning objects for
children’s who face dyslexia.
EA-MDA MODEL TO RESOLVE IS CHARACTERISTIC PROBLEMS IN EDUCATIONAL INSTITUTIONSijseajournal
Higher education institutions require a proper standard and model that can be implemented to enhance
alignment between business strategy and existing information technologies. Developing the required model
is a complex task. A combination of the EA, MDA and SOA concepts can be one of the solutions to
overcome the complexity of building a specific information technology architecture for higher education
institutions. EA allows for a comprehensive understanding of the institution’s main business process while
defining the information system that will assist in optimizing the business process. EA essentially focuses on
strategy and integration. MDA relies on models as its main element and places focuses on efficiency and
quality. SOA on the other hand uses services as its principal element and focuses on flexibility and reuse.
This paper seeks to formulate an information technology architecture that can provide clear guidelines on
inputs and outputs for EA development activities within a given higher education institution. This proposed
model specifically emphasises on WIS development in order to ensure that WIS in higher education
institutions has a coherent planning, implementation and control process in place consistent with the
enterprise’s business strategy. The model will then be applied to support WIS development and
implementation at University of Lampung (Unila) as the case study.
This paper describes how King Saud University designed and implemented an e-learning system using a systems engineering approach. It shows how defining the system, requirements, and interactions helped design an integrated e-learning solution. Managing the project using Critical Chain Project Management methodology helped complete the project in half the estimated time while meeting quality standards. The system included a learning management system, video conferencing, and integrated portal to provide blended online and in-person education across KSU's multiple campuses.
The Architecture of System for Predicting Student Performance based on the Da...Thada Jantakoon
The goals of this study are to develop the architecture of a system for predicting student performance based on data science approaches (SPPS-DSA Architecture) and evaluate the SPPS-DSA Architecture. The research process is divided into two stages: (1) context analysis and (2) development and assessment. The data is analyzed by means of standardized deviations statistically. The research findings suggested that the SPPS-DSA architecture, according to the research findings, consists of three key components: (i) data source, (ii) machine learning methods and attributes, and (iii) data science process. The SPPS-DSA architecture is rated as the highest appropriate overall. Predicting student performance helps educators and students improve their teaching and learning processes. Predicting student performance using various analytical methods is reviewed here. Most researchers used CGPA and internal assessment as data sets. In terms of prediction methods, classification is widely used in educational data science. Researchers most commonly used neural networks and decision trees to predict student performance under classification techniques.
Modern Database Management 12th Global Edition by Hoffer solution manual.docxssuserf63bd7
https://qidiantiku.com/solution-manual-for-modern-database-management-12th-global-edition-by-hoffer.shtml
name:Solution manual for Modern Database Management 12th Global Edition by Hoffer
Edition:12th Global Edition
author:by Hoffer
ISBN:ISBN 10: 0133544613 / ISBN 13: 9780133544619
type:solution manual
format:word/zip
All chapter include
Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The 12th Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.
Access To Specific Declarative Knowledge By Expert Systems The Impact Of Log...Audrey Britton
The document discusses four strategies for expert systems to access specific declarative knowledge from databases:
1. Elementary database access within the expert system, where knowledge is directly represented in the knowledge base.
2. Generalized database management within the expert system, using secondary storage management and indexing.
3. Loose coupling of the expert system with an external database management system (DBMS), extracting a snapshot of required data.
4. Tight coupling of the expert system with an external DBMS, with an online communication channel to dynamically query the DBMS.
This document provides module descriptions for the Higher Certificate in Information Systems (Internet Development) program offered by CTI Education Group in South Africa. The modules cover topics like computer literacy, programming logic, program design, software engineering, database design, database management, web design, and creating web pages. The modules introduce fundamental concepts and teach practical skills for areas like word processing, spreadsheets, databases, presentations, programming logic, pseudocode, systems analysis, UML modeling, relational databases, and web development using technologies like HTML, CSS, JavaScript, and Flash.
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WEB-BASED DATA MINING TOOLS : PERFORMING FEEDBACK ANALYSIS AND ASSOCIATION RU...IJDKP
This document describes web-based data mining tools for performing association rule mining and feedback analysis on educational data. It presents two tools - one developed using ASP.NET for association rule mining to analyze elective course combinations, and one developed using PHP to collect and analyze student feedback on faculty performance and institutional infrastructure. The tools are intended to help educational institutions improve decision making, teaching effectiveness, and student outcomes by analyzing patterns in student feedback and course selection data. Sample outputs from applying the tools to student data demonstrate their ability to discover useful associations and evaluate performance.
The document provides guidelines for an oral defense of a thesis on an automated student record system at Surigao del Sur State University-Cagwait Campus. It includes instructions to highlight explanations in yellow and only present necessary parts of the thesis. It then summarizes in 1-2 sentences each chapter to be briefly explained, including the introduction, background of the study, statement of the problem, scope and limitations, objectives, and significance of the study. The chapters focus on designing a student record system using Microsoft Access to improve services and transactions by organizing student information and files in a secure automated process.
Journal of Physics Conference SeriesPAPER • OPEN ACCESS.docxLaticiaGrissomzz
Journal of Physics: Conference Series
PAPER • OPEN ACCESS
The methodology of database design in
organization management systems
To cite this article: I L Chudinov et al 2017 J. Phys.: Conf. Ser. 803 012030
View the article online for updates and enhancements.
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The methodology of database design in organization
management systems
I L Chudinov, V V Osipova, Y V Bobrova
Tomsk Polytechnic University, 30, Lenina ave., Tomsk, 634050, Russia
E-mail: [email protected]
Abstract. The paper describes the unified methodology of database design for management
information systems. Designing the conceptual information model for the domain area is the
most important and labor-intensive stage in database design. Basing on the proposed integrated
approach to design, the conceptual information model, the main principles of developing the
relation databases are provided and user’s information needs are considered. According to the
methodology, the process of designing the conceptual information model includes three basic
stages, which are defined in detail. Finally, the article describes the process of performing the
results of analyzing user’s information needs and the rationale for use of classifiers.
1. Introduction
Management information systems are among the most important components of information
technologies (IT), used in a company. They are usually classified by the functions into the following
systems: Manufacturing Execution Systems (MES), Human Resource Management (HRM), Enterprise
Content Management (ECM), Customer Relationship Management (CRM), etc. [1]. Such systems are
used a special structured database and are required for reengineering of the whole enterprise
management system, while the integration makes it difficult to use them. These systems are expensive
enough and particularly devel.
REVIEWING PROCESS MINING APPLICATIONS AND TECHNIQUES IN EDUCATIONijaia
Process Mining (PM) emerged from business process management but has recently been applied to
educational data and has been found to facilitate the understanding of the educational process.
Educational Process Mining (EPM) bridges the gap between process analysis and data analysis, based on
the techniques of model discovery, conformance checking and extension of existing process models. We
present a systematic review of the recent and current status of research in the EPM domain, focusing on
application domains, techniques, tools and models, to highlight the use of EPM in comprehending and
improving educational processes.
The SMUDIE project aimed to analyze and improve the student information management systems at Swansea Metropolitan University. It conducted interviews, created "as is" models using Enterprise Architecture, and identified opportunities for improvement. The project developed a new "to be" modeling technique combining Enterprise Architecture, Viable Systems Modeling, and Soft Systems Modeling to inform future integrated information system design following the university's merger. Key outcomes included better stakeholder understanding, a system design model, and lessons about using modeling techniques for management planning.
This document proposes an approach to developing data warehouse structures from business process models. It begins by discussing common challenges with data warehouse projects, such as failing to consider business goals and strategies. The document then reviews existing development approaches like user-oriented and operational-oriented methods. It introduces business process modeling using the Semantic Object Model technique and argues this provides a formal description of user information needs. The paper proposes deriving data warehouse structures from business process models to address limitations of other approaches. It provides an example using a student management system to illustrate connecting business processes to data warehouse schemas.
An Approach to Automate the Relational Database Design Process ijdms
Information and Communication Technology improves the business competitiveness in both large scale
enterprises as well as small and medium scale enterprises. Lack of technical knowledge in Information
Communication Technology and the cost have been identified as challenges forsmall and medium
enterprises to adopt ICT for their businesses. They can overcome this problem by using freely available
tools/systems which aid to generate information systems automatically. However,they require the database
structure; therefore, it is desirable to have a tool to automate the relational database design process. In the
proposed approach, business forms were considered as the database requirement input sources among:
learning from examples, natural language, structured input/output definition and schema definition and
forms. The approach uses a functional dependency algorithm on the un-normalized data which is fed
through the business form and then apply a normalization algorithm onthe discovered functional
dependencies to have the normalized database structure. User intervention is needed to have the domain
knowledgeof this approach. Finally, it develops the normalized database with all the keys and
relationships; the accuracy of the out-come totally depend on the data fed by end users.
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
This document discusses knowledge application, which is the final step in the knowledge management cycle where knowledge that has been captured and shared is put to actual use. It describes how user and task modeling can help promote effective knowledge application at the individual, group, and organizational levels. It also discusses knowledge management systems, knowledge reuse, and the strategic and practical implications of facilitating knowledge application within an organization.
Here is a critical evaluation of how the situational model of leadership applies to Saddam Hussein's leadership style:
Saddam Hussein exhibited traits that align with aspects of the situational leadership model. As the situational model contends that effective leadership depends on assessing the situation and adapting one's style accordingly, some of Saddam's actions demonstrated this.
For example, early in his rule when consolidating power, he took a highly directive approach, closely micromanaging decisions and purging potential rivals. This aligns with situational leadership prescribing a more authoritarian style when followers have low ability and willingness.
However, over time as he became entrenched and his grip tightened, he seemed to lose touch with situ
How To Write A TOK Essay 15 Steps (With Pictures) - WikiHowAndrea Porter
The document discusses how to write a TOK essay in 15 steps. It explains that the process begins by creating an account on the HelpWriting.net site. It then describes how to complete an order form to request that a writer complete a paper. The site uses a bidding system where writers bid on requests and clients can choose a writer. Clients can request revisions until satisfied with the paper.
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MBA 5401, Management Information Systems 1 Course Descri.docxARIV4
MBA 5401, Management Information Systems 1
Course Description
Considers the theory and practice of management information systems, including information requirements analysis,
design methodology, and system implementation considerations. Topics include new technology convergence,
management of disrupted technology, technology impacts, and business continuity planning.
Course eTextbook
Laudon, K. C., & Laudon, J. P. (2016). Management information systems: Managing the digital firm [VitalSource
Bookshelf version] (14th ed.). Retrieved from https://bookshelf.vitalsource.com/#/books/9781323309568/
Course Learning Outcomes
Upon completion of this course, students should be able to:
1. Summarize the complexities of information technology practices.
2. Describe the role of the information technology professional within an organization.
3. Evaluate the process of developing an information system for an organization.
4. Explain how information technology systems influence organizational strategies.
5. Examine information systems decision-making from a managerial perspective.
6. Compare and contrast databases and database management.
7. Evaluate the driving ethical issues of information systems.
8. Analyze the importance of software, hardware, and telecommunications to the business.
9. Examine advanced information systems solutions such as ERP (enterprise resource planning) and SAP (software
application and products).
10. Explain important information systems compliance and security considerations.
Credits
Upon completion of this course, the students will earn three (3) hours of college credit.
Course Structure
1. Study Guide: Each unit contains a Study Guide that provides students with the learning outcomes, unit lesson,
required reading assignments, and supplemental resources.
2. Learning Outcomes: Each unit contains Learning Outcomes that specify the measurable skills and knowledge
students should gain upon completion of the unit.
3. Unit Lesson: Each unit contains a Unit Lesson, which discusses lesson material.
4. Reading Assignments: Each unit contains Reading Assignments from one or more chapters from the textbook.
5. Suggested Reading: Suggested Readings are listed in each unit’s study guide. Students are encouraged to read
the resources listed if the opportunity arises, but they will not be tested on their knowledge of the Suggested
Readings.
6. Learning Activities (Non-Graded): These non-graded Learning Activities are provided to aid students in their
course of study.
7. Discussion Boards: Discussion Boards are part of all CSU term courses. More information and specifications
can be found in the Student Resources link listed in the Course Menu bar.
8. Unit Assessments: This course contains six Unit Assessments, one to be completed at the end of Units I, III-VI,
and VIII. Assessments are composed of written-response questions.
MBA 5401, Management
Information Syst ...
Data modeling is the process of creating a visual representation of data within an information system to illustrate the relationships between different data types and structures. The goal is to model data at conceptual, logical, and physical levels to support business needs and requirements. Conceptual models provide an overview of key entities and relationships, logical models add greater detail, and physical models specify how data will be stored in databases. Data modeling benefits include reduced errors, improved communication and performance, and easier management of data mapping.
This document provides an overview of a Management Information Systems syllabus. It outlines 5 units that will be covered: Foundation of Information Systems, Management Information Systems, Concepts of Planning & Control, Business Applications of Information Technology, and Managing Information Technology. Each unit describes its goals and objectives. The goals aim to provide students with a broad introductory understanding of information systems within organizational contexts. The objectives focus on topics like the role of IS in business, IS architecture, emerging technologies, security/ethics of IS, and using IS for competitive advantage and strategic planning.
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Eswar Publications
E-learning plays an important role in providing required and well formed knowledge to a learner. The medium of e- learning has achieved advancement in various fields such as adaptive e-learning systems. The need for enhancing e-learning semantically can enhance the retrieval and adaptability of the learning curriculum. This paper provides a semantically enhanced module based e-learning for computer science programme on a learnercentric perspective. The learners are categorized based on their proficiency for providing personalized learning environment for users. Learning disorders on the platform of e-learning still require lots of research. Therefore, this paper also provides a personalized assessment theoretical model for alphabet learning with learning objects for
children’s who face dyslexia.
EA-MDA MODEL TO RESOLVE IS CHARACTERISTIC PROBLEMS IN EDUCATIONAL INSTITUTIONSijseajournal
Higher education institutions require a proper standard and model that can be implemented to enhance
alignment between business strategy and existing information technologies. Developing the required model
is a complex task. A combination of the EA, MDA and SOA concepts can be one of the solutions to
overcome the complexity of building a specific information technology architecture for higher education
institutions. EA allows for a comprehensive understanding of the institution’s main business process while
defining the information system that will assist in optimizing the business process. EA essentially focuses on
strategy and integration. MDA relies on models as its main element and places focuses on efficiency and
quality. SOA on the other hand uses services as its principal element and focuses on flexibility and reuse.
This paper seeks to formulate an information technology architecture that can provide clear guidelines on
inputs and outputs for EA development activities within a given higher education institution. This proposed
model specifically emphasises on WIS development in order to ensure that WIS in higher education
institutions has a coherent planning, implementation and control process in place consistent with the
enterprise’s business strategy. The model will then be applied to support WIS development and
implementation at University of Lampung (Unila) as the case study.
This paper describes how King Saud University designed and implemented an e-learning system using a systems engineering approach. It shows how defining the system, requirements, and interactions helped design an integrated e-learning solution. Managing the project using Critical Chain Project Management methodology helped complete the project in half the estimated time while meeting quality standards. The system included a learning management system, video conferencing, and integrated portal to provide blended online and in-person education across KSU's multiple campuses.
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Modern Database Management 12th Global Edition by Hoffer solution manual.docxssuserf63bd7
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name:Solution manual for Modern Database Management 12th Global Edition by Hoffer
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Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The 12th Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.
Access To Specific Declarative Knowledge By Expert Systems The Impact Of Log...Audrey Britton
The document discusses four strategies for expert systems to access specific declarative knowledge from databases:
1. Elementary database access within the expert system, where knowledge is directly represented in the knowledge base.
2. Generalized database management within the expert system, using secondary storage management and indexing.
3. Loose coupling of the expert system with an external database management system (DBMS), extracting a snapshot of required data.
4. Tight coupling of the expert system with an external DBMS, with an online communication channel to dynamically query the DBMS.
This document provides module descriptions for the Higher Certificate in Information Systems (Internet Development) program offered by CTI Education Group in South Africa. The modules cover topics like computer literacy, programming logic, program design, software engineering, database design, database management, web design, and creating web pages. The modules introduce fundamental concepts and teach practical skills for areas like word processing, spreadsheets, databases, presentations, programming logic, pseudocode, systems analysis, UML modeling, relational databases, and web development using technologies like HTML, CSS, JavaScript, and Flash.
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WEB-BASED DATA MINING TOOLS : PERFORMING FEEDBACK ANALYSIS AND ASSOCIATION RU...IJDKP
This document describes web-based data mining tools for performing association rule mining and feedback analysis on educational data. It presents two tools - one developed using ASP.NET for association rule mining to analyze elective course combinations, and one developed using PHP to collect and analyze student feedback on faculty performance and institutional infrastructure. The tools are intended to help educational institutions improve decision making, teaching effectiveness, and student outcomes by analyzing patterns in student feedback and course selection data. Sample outputs from applying the tools to student data demonstrate their ability to discover useful associations and evaluate performance.
The document provides guidelines for an oral defense of a thesis on an automated student record system at Surigao del Sur State University-Cagwait Campus. It includes instructions to highlight explanations in yellow and only present necessary parts of the thesis. It then summarizes in 1-2 sentences each chapter to be briefly explained, including the introduction, background of the study, statement of the problem, scope and limitations, objectives, and significance of the study. The chapters focus on designing a student record system using Microsoft Access to improve services and transactions by organizing student information and files in a secure automated process.
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Journal of Physics: Conference Series
PAPER • OPEN ACCESS
The methodology of database design in
organization management systems
To cite this article: I L Chudinov et al 2017 J. Phys.: Conf. Ser. 803 012030
View the article online for updates and enhancements.
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The methodology of database design in organization
management systems
I L Chudinov, V V Osipova, Y V Bobrova
Tomsk Polytechnic University, 30, Lenina ave., Tomsk, 634050, Russia
E-mail: [email protected]
Abstract. The paper describes the unified methodology of database design for management
information systems. Designing the conceptual information model for the domain area is the
most important and labor-intensive stage in database design. Basing on the proposed integrated
approach to design, the conceptual information model, the main principles of developing the
relation databases are provided and user’s information needs are considered. According to the
methodology, the process of designing the conceptual information model includes three basic
stages, which are defined in detail. Finally, the article describes the process of performing the
results of analyzing user’s information needs and the rationale for use of classifiers.
1. Introduction
Management information systems are among the most important components of information
technologies (IT), used in a company. They are usually classified by the functions into the following
systems: Manufacturing Execution Systems (MES), Human Resource Management (HRM), Enterprise
Content Management (ECM), Customer Relationship Management (CRM), etc. [1]. Such systems are
used a special structured database and are required for reengineering of the whole enterprise
management system, while the integration makes it difficult to use them. These systems are expensive
enough and particularly devel.
REVIEWING PROCESS MINING APPLICATIONS AND TECHNIQUES IN EDUCATIONijaia
Process Mining (PM) emerged from business process management but has recently been applied to
educational data and has been found to facilitate the understanding of the educational process.
Educational Process Mining (EPM) bridges the gap between process analysis and data analysis, based on
the techniques of model discovery, conformance checking and extension of existing process models. We
present a systematic review of the recent and current status of research in the EPM domain, focusing on
application domains, techniques, tools and models, to highlight the use of EPM in comprehending and
improving educational processes.
The SMUDIE project aimed to analyze and improve the student information management systems at Swansea Metropolitan University. It conducted interviews, created "as is" models using Enterprise Architecture, and identified opportunities for improvement. The project developed a new "to be" modeling technique combining Enterprise Architecture, Viable Systems Modeling, and Soft Systems Modeling to inform future integrated information system design following the university's merger. Key outcomes included better stakeholder understanding, a system design model, and lessons about using modeling techniques for management planning.
This document proposes an approach to developing data warehouse structures from business process models. It begins by discussing common challenges with data warehouse projects, such as failing to consider business goals and strategies. The document then reviews existing development approaches like user-oriented and operational-oriented methods. It introduces business process modeling using the Semantic Object Model technique and argues this provides a formal description of user information needs. The paper proposes deriving data warehouse structures from business process models to address limitations of other approaches. It provides an example using a student management system to illustrate connecting business processes to data warehouse schemas.
An Approach to Automate the Relational Database Design Process ijdms
Information and Communication Technology improves the business competitiveness in both large scale
enterprises as well as small and medium scale enterprises. Lack of technical knowledge in Information
Communication Technology and the cost have been identified as challenges forsmall and medium
enterprises to adopt ICT for their businesses. They can overcome this problem by using freely available
tools/systems which aid to generate information systems automatically. However,they require the database
structure; therefore, it is desirable to have a tool to automate the relational database design process. In the
proposed approach, business forms were considered as the database requirement input sources among:
learning from examples, natural language, structured input/output definition and schema definition and
forms. The approach uses a functional dependency algorithm on the un-normalized data which is fed
through the business form and then apply a normalization algorithm onthe discovered functional
dependencies to have the normalized database structure. User intervention is needed to have the domain
knowledgeof this approach. Finally, it develops the normalized database with all the keys and
relationships; the accuracy of the out-come totally depend on the data fed by end users.
Higher education institutions now a days are operating in an increasingly complex and
competitive environment. The application of innovation is a must for sustaining its competitive advantage.
Institution leaders are using data management and analytics to question the status quo and develop effective
solutions. Achieving these insights and information requires not a single report from a single system, but
rather the ability to access, share, and explore institution-wide data that can be transformed into meaningful
insights at every level of the institution. Consequently, institutions are facing problems in providing necessary
information technology support for fulfilling excellence in performance. More specifically, the best practices
of big data management and analytics need to be considered within higher education institutions. Therefore,
the study aimed at investigating big data and analytics, in terms of: (1) definition; (2) its most important
principles; (3) models; and (4) benefits of its use to fulfill performance excellence in higher education
institutions. This involves shedding light on big data and analytics models and the possibility of its use in
higher education institutions, and exploring the effect of using big data and analytics in achieving performance
excellence. To reach these objectives, the researcher employed a qualitative research methodology for
collecting and analyzing data. The study concluded the most important result, that there is a significant
relationship between big data and analytics and excellence of performance as big data management and
analytics mainly aims at achieving tasks quickly with the least effort and cost. These positive results support
the use of big data and analytics in institutions and improving knowledge in this field and providing a practical
guide adaptable to the institution structure. This paper also identifies the role of big data and analytics in
institutions of higher education worldwide and outlines the implementation challenges and opportunities in the
education industry.
This document discusses knowledge application, which is the final step in the knowledge management cycle where knowledge that has been captured and shared is put to actual use. It describes how user and task modeling can help promote effective knowledge application at the individual, group, and organizational levels. It also discusses knowledge management systems, knowledge reuse, and the strategic and practical implications of facilitating knowledge application within an organization.
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An Assignment On Information System Modeling On Teaching Data And Process Integration
1. Postprint, October 2018
An Assignment on Information System Modeling
On Teaching Data and Process Integration
Jan Martijn E.M. van der Werf1
and Artem Polyvyanyy2
1
Department of Information and Computing Science
Utrecht University
P.O. Box 80.089, 3508 TB Utrecht, The Netherlands
j.m.e.m.vanderwerf@uu.nl
2
The University of Melbourne, Parkville, VIC, 3010, Australia
artem.polyvyanyy@unimelb.edu.au
Abstract. An information system is an integrated system of components that
cooperatively aim to collect, store, manipulate, process, and disseminate data,
information, and knowledge, often offered as digital products. A model of an ex-
isting or envisioned information system is its simplified representation developed
to serve a purpose for a target audience. A model may represent various aspects
of the system, including the structure of information, data constraints, processes
that govern information, and organizational rules. Traditionally, the teaching of
information system modeling is carried out in a fragmented way, i.e., modeling of
different aspects of information systems is taught separately, often across differ-
ent subjects. The authors’ teaching experience in this area suggests the shortcom-
ings of such fragmented approach, evidenced by the lack of students’ ability to
exploit the synergy between data and process constraints in the produced models
of information systems.
This paper proposes an assignment for undergraduate students which requests
to model an information system of an envisioned private teaching institute. The
assignment comprises a plethora of requirements grounded in the interplay of
data and process constraints, and is accompanied by a tool that supports their
explicit representation.
Keywords: Data and process modeling, information system modeling, Com-
puter Science and Information Systems education
1 Introduction
In the information age we live, information systems provide core mechanisms for sup-
porting operational business processes of organizations. Hence, leading Computer Sci-
ence and Information Systems curricula comprise courses that teach students the art and
rigor of designing information systems. Traditionally, modeling of each aspect of an in-
formation system, e.g., data and process constraints, is taught separately, often across
different subjects. The authors have independently taught the foundations of informa-
tion systems modeling to undergraduate students at Utrecht University, The Nether-
lands, and Queensland University of Technology, Australia (for five and seven consec-
utive semesters, respectively). In this paper, the authors report on identified drawbacks
2. of such a fragmented approach to teaching information system modeling, and argue for
the need in educating students on data and process integration.
As an example, consider a task of designing a learning management system that
keeps track of course offering, and corresponding lecturers and student enrollments.
A decision to start by developing a high-quality data model for the proposed scenario
may result in a design which requires that every course offering is assigned at least one
lecturer. This design may contradict the corresponding business processes that require
to assign a lecturer to a course offering only once it reaches the minimum number of
student enrollments. Conversely, a decision to introduce a process constraint may limit
the number of solutions to the design of the data model in a way that excludes the
required solution. Note that even if all the data and process requirements of the desired
solution are laid out prior to embarking into modeling, they may lead to a contradiction
that does not manifest neither in a data model nor in a process model that satisfies
the respective requirements. Thus, an effective approach to modeling an information
system should allow a designer to experience the interplay between data and process
constraints. Building from this understanding, the paper at hand contributes:
1. An assignment to model an information system of an envisioned private teaching
institute;
2. A systematic analysis of challenges experienced by students when solving the as-
signment in a traditional way, i.e., by tackling modeling of information constraints
and business processes of the system separately;
3. A proposal to address the identified challenges by using a new tool capable of
representing an interplay between the data and process constraints in an integrated
model of an information system.
The remainder of this paper is organized as follows. The next section examines how
data and process modeling skills are recognized in the curricula of undergraduate de-
grees in Information Systems. Section 3 proposes an assignment that aims to teach
data and process modeling skills in an integrated way. Section 4 shares our experience,
while Section 5 proposes a tool support for designing data and process constraints in an
integrated way. The paper closes with conclusions.
2 Teaching Data and Process Modeling in IS Curricula
In 2010, the Association for Information Systems (AIS) and the Association for Com-
puting Machinery (ACM) have released IS 2010, the latest in a series of proposed model
curricula for undergraduate degrees in Information Systems [15]. IS 2010 provides
guidance regarding the core content of a curriculum in Information Systems and sug-
gests possible electives and career tracks.
IS 2010 comprises seven core and several elective courses, among which Data and
Information Management (IS 2010.2) and Systems Analysis and Design (IS 2010.6) are
recognized to play a central role. Next, we examine these two courses with respect to
the proposed learning outcomes and topics that contribute to data and process modeling
skills, taking a close look at the skills that are grounded in the interplay of data and
process constraints in the designs of information systems.
2
3. 2.1 Data and Information Management
According to IS 2010, the Data and Information Management (IS 2010.2) course pro-
vides students with an introduction to the core concepts in data and information man-
agement. Concretely, this course teaches students methods and techniques for identify-
ing organizational information requirements, constructing conceptual models of these
requirements, converting the conceptual data models into logical models, e.g., relational
data models, verifying the correctness of the models, and implementing the models, e.g.,
using a Relational Database Management System (DBMS) [11,14].
Among the 21 suggested learning objectives of this course, we identify three core
objectives 3
that specifically target the data modeling skills of a student:
– Use at least one conceptual data modeling technique (such as entity-relationship
modeling) to capture the information requirements for an enterprise domain;
– Design high-quality relational databases;
– Understand the concept of database transaction and apply it appropriately to an
application context.
The topics of the course that contribute to these skills are conceptual, logical, and phys-
ical data models, for example entity-relationship model, relational data model, and data
types, respectively. The curriculum suggests that the focus should be on conceptual and
logical data modeling skills, while “students should understand the basic nature of the
DBA tasks and be able to make intelligent decisions regarding DBMS choice and the
acquisition of DBA resources.”
Two learning objectives of the IS 2010.2 course may be interpreted as such that
suggest an interplay between the data and process modeling skills:
– Apply information requirements specification processes in the broader systems
analysis and design context;
– Link to each other the results of data/information modeling and process modeling.
None of the proposed course topics explicitly contributes to the integration of data and
process modeling skills of a student. One may argue that such skills are implicit in
the topic of “Using a database management system from an application development
environment”. Still, this topics advocates for a compartmented approach to data and
process modeling. At the same time the curriculum acknowledges that “information
requirements specification processes must be firmly linked to the organizational systems
analysis and design processes”.
2.2 Systems Analysis and Design
The curriculum suggests that the Systems Analysis and Design (IS 2010.6) course
should contribute to 13 learning objectives, among which only two implicitly target
process modeling skills, namely:
3
Note that several other proposed learning objectives can be seen as refinements of the core
ones, e.g., the objective of “Design a relational database so that it is at least in 3NF” can be
seen as a refinement of “Design high-quality relational databases”.
3
4. – Use at least one specific methodology for analyzing a business situation (a problem
or opportunity), modeling it using a formal technique, and specifying requirements
for a system that enables a productive change in a way the business is conducted.
– Within the context of the methodologies they learn, write clear and concise business
requirements documents and convert them into technical specifications.
We identify that the topics of the course that can contribute to these objectives are
Business Process Management and analysis of business requirements. The curriculum
contains an elective course entitled Business Process Management [1, 2, 8], which re-
fines the learning objectives that address process modeling skills. The main focus of
this elective course is on understanding and designing of business processes, which
manifests in four learning outcomes (out of 11):
– Model business processes;
– Understand different approaches to business process modeling and improvement;
– Use basic business process modeling tools;
– Simulate simple business processes and use simulation results in business process
analysis.
Two proposed learning objectives of the IS 2010.6 course address the integration of data
and process modeling skills, namely:
– Use contemporary CASE tools for the use in process and data modeling.
– Design high-level logical system characteristics (user interface design, design of
data and information requirements).
However, again, similar to IS 2010.2, none of the proposed topics of IS 2010.6, or
those of the elective Business Process Management course, explicitly contributes to the
integration of data and process modeling skills of a student.
3 Assignment: Supporting the Private Teaching Institute
An effective assignment to modeling an information system should allow students to
experience the interplay between data and processes. The assignment should have a
sufficiently challenging and realistic case description, while being manageable in size.
3.1 Learning Objectives
As a first step, we crafted the learning objectives, following the IS 2010 guidelines, and
the Bloom Taxonomy [4]. As the assignment focuses on learning to apply techniques,
we assume that once the assignment starts, students already have an initial understand-
ing of data modeling e.g. with ERM [6], and process modeling, e.g., with Petri nets [13]
and BPMN [8]. In other words, we assume students to start at level 2 (comprehen-
sion) of the Bloom Taxonomy. The learning objectives of the assignment cover the next
levels, being application, analysis, synthesis and evaluation. After the assignment, the
students should be able to:
– Model and analyze process and information requirements using formal techniques;
4
5. – Critically assess models and make well-informed design decisions to solve real
world problems related to information systems;
– Write clear and concise requirements and convert these into technical specifications
using formal techniques;
– Manage the complexity of contemporary and future information systems and the
domains in which these systems are used; and
– Use contemporary off-the-shelf components to integrate models into an information
system.
Experience from a previous assignment [10], where students had to design and build
an information system for an online shop, showed that students had difficulties in un-
derstanding the underlying problems of the domain. Therefore, the context of this as-
signment should be geared to the students’ perception of their environment. For this
purpose, we designed a case around a fictive educational institute, the Private Teaching
Institute (PTI). Several requirements have been left implicit, or are even underspecified
to allow students to reflect and perform a proper context analysis. In this way, students
can use their own experience to better understand the situation.
3.2 The Case: The Private Teaching Institute
The Private Teaching Institute (PTI) offers education tracks. Each education track con-
sists of several mandatory courses, and some optional courses. PTI consists of a small
team per track, the track management, and a small student administration for all tracks
together. To deliver the courses, PTI has a pool of lecturers who are qualified to de-
liver several courses. Everybody is entitled to enroll for a track. As soon as somebody
registered themselves, and they are accepted by the track management, they become a
student of that track. Students enrolled have to create an educational plan, consisting of
the courses they want to follow. This plan has to be approved by the appropriate track
management, and filed by the administration.
As soon as the plan is approved, students may register for courses. Once there are
sufficient registrations for a course, the management creates a tender and sends it out
to the lecturers who are qualified to give that course. After the response offers by the
lecturers, the management selects the best offer and appoints the corresponding lecturer
for that course. Every course at PTI consists of several lectures, either in a classical
class room setting or on-line, practical assignments, and one or more exams, depending
on the wishes of the appointed lecturer. Once the student meets all criteria set by the
lecturer, i.e., passing a sufficient number of assignments and exams, the student receives
a certificate of passing. In all cases, the result is filed by the administration.
Once a student passed all the courses agreed upon in the educational plan, the stu-
dent is eligible to receive a diploma for that track. The track management verifies the
course certificates and the plan, after which the management can award the diploma.
Students can choose for a formal ceremony, or to receive their diploma by post.
PTI wants a process-aware information system that supports them in their primary
processes, to ease the administrative burden.
5
6. 3.3 Phases and Deliverables
The information system should be designed and implemented, while ensuring that all
deliverables remain consistent. The assignment identifies two phases: the specification
phase, and the implementation phase. Instead of following the traditional waterfall ap-
proach, the phases run concurrently, and the deliverables of the two phases should be
synchronized regularly. Having small cycles assist in keeping the problem at hand man-
ageable, and also allows the teaching staff to provide the students with early feedback.
During the first phase, the students have to analyze the assignment, and identify
the involved stakeholders and their interactions with the to-be-designed information
system. For this analysis, students may apply different techniques. Some students prefer
to create use cases [5], other students perform a PACT analysis [3]. A PACT analysis
studies the People involved, their Activities, the Context in which these activities are
performed, and the main Technologies used to support these.
Once the context of the assignment has been analyzed to gain a better understand-
ing of the environment, the students have to derive the information requirements and
build a specification. Part of the specification is a data model in ERM notation. Many
choices have been left implicit in the case description, such as the number of courses a
track consists of, whether courses are mandatory for the complete institute, or only for
tracks, etc. Students have to discover these choices, and make and document their design
decisions. To model the flow of information, the different processes in the case have to
be identified, analyzed and modeled using Petri nets. The resulting models should be
analyzed for correctness using formal approaches, such as weak termination (i.e., ab-
sence of deadlocks and livelocks) and boundedness. Additionally, the different models
created should be consistent, and validated with the context analysis, i.e., the use cases
and scenarios created initially should be supported by the models.
The context description, information model and process models together with their
analyses are captured in the Specification Document that the students have to deliver.
The resulting document should be concise, clear and contain all important requirements
of the case.
Once an initial version of the specification document, containing one or two pro-
cesses, is being created, the implementation phase starts. The goal of the implementa-
tion phase is to use packaged solutions, rather than implement a system from scratch.
The assignment relies on the Business Process Management Suite (BPMS) Process-
Maker 4
, which has both an open source edition, as well as a commercial cloud service.
For the implementation of the information system, each process designed in the spec-
ification document should be converted into a BPMN model, together with the forms
and triggers for each activities. As the complete information system comprises several
processes, the data model has to be implemented, and the forms and activities of the
different processes should manipulate the data model. This phase results in two deliv-
erables: the Implementation Guide, and the implementation itself.
As in real life, processes may be altered, updated or completely revised during the
implementation. Therefore, during the different phases, the specification document and
implementation guide need to be updated together, ensuring that the revised models
remain correct, and the documentation consistent.
4
http://www.processmaker.com/
6
7. Table 1. Grading schema for the assignment
Specification document Points Implementation guide Points
Context analysis 15 Quality BPMN models 25
Data model 10 Model descriptions 5
Quality process models 30 Gateway logic 5
Documentation of models 15 Forms per activity 10
Verification and validation 25 Reflection 10
Layout 5 Layout 5
Implemented functionality 25
Demonstration 15
Total 100 Total 100
Fig. 1. Gantt chart of the assignment. The open diamonds are feedback moments, the filled dia-
monds are official deadlines, including a demonstration.
For grading, the schema shown in Table 1 is used. The schema addresses the dif-
ferent learning objectives. For feedback and grading a rubric based on this schema is
used 5
. Part of the implementation phase is a demonstration of the system to the teaching
staff, simulating the role of a stakeholder at PTI.
4 First Experiences with the Assignment
Last year, the assignment has been executed for the first time during the Information
Systems course at Utrecht University, with about 170 first year Information Science
Bachelor students. Although the group is quite large, we decided to have the students
to create pairs, instead of larger groups. In this way, students are able to cooperate, and
discuss design options, at the same time preventing free riders.
The course is taught in the final block of the year, and runs over a period of 10
weeks. As a 7,5 EC credit course 6
, students are expected to work 20 hours per week
on the subject, including lectures on process modeling and analysis. In total, each stu-
dent is expected to dedicate in total 100 hours to the assignment. Each phase had two
intermediary deadlines for feedback, and a final deadline at the end of the period (see
Fig. 1). The demonstrations were in the same week as the final deadline.
Process Identification During the first feedback moment, we noticed that many stu-
dents found it challenging to discover the different processes in the assignment. Many
groups had problems in dividing the case description into smaller, manageable com-
ponents. Several authors acknowledge the difficulty of discovering the processes in an
5
The rubric can be found at http://www.architecturemining.org/publications/WerfP18a.pdf
6
https://ec.europa.eu/education/resources/european-credit-transfer-accumulation-system en
7
8. organisation (cf. [8]), and point e.g. at categories of Processes according to Porter, to
assist in this activity. However, as these categories are tailored towards businesses, stu-
dents found it difficult to apply them on a different context.
Some students delivered a single large model that covered all facets of the insti-
tute. For example, the student’s enrollment and the tender process for lecturers were
combined in a single process. They failed to recognize that by combining these two
processes, the complete tender process had to be repeated for each student enrollment.
A possible cause is that BPMN leaves the notion of a case implicit. As a consequence,
students do not notice that halfway the process the case changes from the “student
following a course instance”, to “the course instance for which a lecturer needs to be
selected”. By providing feedback after the first round on how to read the case descrip-
tion, and by posing questions like “what is the subject of this process?” explicitly in the
feedback, students understood the notion of cases and processes much better.
Other groups divided the assignment in many small processes, such as “do assign-
ment”, which comprised two activities: the student creating an assignment, and a lec-
turer grading the assignment. Although in essence this is not wrong, the finer the gran-
ularity of the processes identified, the more challenging it is to understand the interplay
of the different processes. For example, is a student allowed to receive a grade if one of
the assignment processes is still running? Having a too fine-grained solution simplifies
modeling and analyzing the separate models, but complicates the overall design of the
information system.
In the end, most student groups delivered an information system that implemented
two to four business processes. These processes capture different aspects of the infor-
mation system, from enrolling in an educational track, following a course instance, the
lecturer tendering process, and obtaining the diploma. Some students combined the en-
rollment and obtaining the diploma, i.e., the process a student follows in an educational
track. Others combined the students following a course instance process with the lec-
turer tendering process, by taking the course instance as a case, rather than a student
following a course instance.
Process Modeling Although having Petri nets as the primary modeling notation helps
students in making the state, and thus the case, explicit, it turned out to be difficult for
students to give proper meaning to tokens and places. Tokens resembling a single object,
such as a lecturer or a student were often found at a first round. However, combining
different notions, like “a token in this place resembles a student that is following a
course” turns out to be more difficult than initially anticipated. After the first round
of feedback, students were taught the concept of place invariants. This increased the
students’ understanding of the idea of tokens and places resembling combinations of
elements, rather than just being single elements representing the state of the net.
As in a previous course on information modeling, students learned to design forms
to populate their data model, several groups created “screen-based” processes. Each ac-
tivity represented a screen a user would see in the system, and the process flow depicted
the possible orders in which the screens would be displayed. Discussing their solution
after the first feedback round, revealed that these student groups had similar problems
in understanding the notion of a case.
8
9. Another challenge many students faced is the level of abstraction in activities. For
example, several groups produced process models with small activities like “fill in ad-
dress”, “fill in telephone number”, and “select education track”, rather than having a
larger activity “enroll for education track”, leaving the details of what data is needed
for an enrollment to a later stage in the process. These small activities appeared either
in a large parallel construct, or were modeled consecutively, in a fixed order.
In the final deliverable, all student groups delivered process models with each con-
taining ten to twenty activities. Each activity had a clear form and roles assigned. The
interplay between the different processes was expressed both in Petri nets, and imple-
mented using triggers on the activities, and by connecting the data model to the different
activities in the process models.
Process Analysis During the lectures of the course, many different analysis techniques,
such as reachability and invariant calculus are discussed. Relating these abstract proper-
ties, like liveness, boundedness and place invariants to properties turns out to be a good
exercise in understanding why these properties help in improving their solutions.
The students had to analyze their solution in different dimensions. The first dimen-
sion is intra-process versus inter-process. Within a single process, all properties are
relatively easy to verify, especially if their solution contains many small processes. The
challenge is in analyzing the interplay between different processes. For example, depen-
dencies may exist, like in the example of the small assignment process: who is allowed
to start this process, and when? Similarly, to model a check whether a course instance
has sufficient students enrolled, can be challenging if each student enrolls in a separate
process instance.
A second dimension is verification within the models versus validation with the
context. Verification of the models, i.e., checking whether the models satisfy properties
like liveness, boundedness and weak termination, was performed by all students. Vali-
dation, i.e., checking whether the models are appropriate for the problem at hand turns
out to be more difficult. Most students delivered initially reports containing many, large
user stories, but no analysis whether their solution can actually replay the scenarios they
described earlier in the same document.
Implementation Another challenge remains in transforming the formal process mod-
els designed with Petri nets into BPMN models that are executable by Business Process
Management Suites (BPMSs) like ProcessMaker. On the one hand, the formal seman-
tics of Petri nets allow the students to simulate and analyze their processes, and test
their dependencies by composing all models into a large Petri net. On the other hand,
a BPMS requires the model to be divided into small processes, in which the state is
left implicit. In addition, several constructs are needed in Petri nets to keep models
analyzable, e.g. the amount of lecturers available to teach a course. In BPMN special-
ized constructs exist, such as parallel repetition via multi-instance activities, that are
designed to solve such situations, as an example shows in Fig. 2. This requires the stu-
dents to be creative in their solutions on how to move from a formal specification into
a technical implementation, while showing that their ideas remain consistent with the
specification.
9
10. (a) (b)
Fig. 2. Situation modeled in Petri nets (a) for which the multi-instance activity in BPMN (b) gives
a more natural solution.
Balancing Data and Processes An important observation we made during the assign-
ment is how subtle the connection between processes and data is. Although these sub-
jects are being taught in different courses, these go hand in hand in an integrated infor-
mation system.
To give an example, most students create a data model in which a course instance
always has a lecturer (a one-to-many relation), has one exam and one assignment. How-
ever, in the process of running a course instance, the track management first decides
that a course instance, for which students already could subscribe, will start, and only
then decide to start a tender for which lecturers can apply. Hence, although the course
instance already exists, no lecturer is assigned to it. Consequently, the data model is
violated, as the one-to-many relationship is not valid, whereas adding a lecturer while
creating a course instance violates the process model. This results in a deadlock caused
by the integration of the two models. Although the example seems trivial, it turns out
that many such integration issues occur in the assignment.
The interplay between processes and data is very difficult to analyze and discover
at design time, and is mostly found only while testing the information system, which is
already difficult and challenging in itself. This debugging and “bug hunting”, as some
students named it, is a very time-consuming and frustrating process, as it is scattered
over the different forms, triggers and database handling in all processes.
Overall Perception All student groups delivered an integrated information system that
supported most functionality. The specification document and implementation guide
typically were consistent. Reduction rules [13] combined with reachability graphs were
the most used analysis tool to verify the models, and several groups used place in-
variants to show that their resources, such as lecturers, courses and students remained
constant in the system.
Afterwards, the course was evaluated by the students (n=41) using closed questions
on a 1-5 likert scale. Students pointed out that the lectures were well usable for the
assignment (85% scored ≥ 4), and that they learned “a great deal” (83% scored ≥ 4).
Although labor intensive, the students valued the early feedback rounds and stated that
the feedback helped improving their results (73% scored ≥ 4). In the open feedback
questions, students posed that the used system has its problems and peculiarities. This
made it often difficult to understand what went wrong, and how this could be miti-
gated. However, the students valued the freedom the assignment provides, ensuring that
everybody has a different solution, enabling them to discuss alternatives among each
other.
10
11. Fig. 3. ISModeler. The tool combines CPN Tools with a theorem prover for the data model.
5 Next Steps
Based on the results of the first run of the assignment, we found that integrating data
and processes is experienced as challenging by the students. For many practitioners,
experience plays an important role in knowing how to adapt processes and data, and
when. In some cases it is better to alter the data model, in other cases the process model.
This requires experience, and practice.
In our view, integrating processes and data is given too little attention in current
curricula. The assignment shows that students find it very difficult to analyze the spec-
ification on deadlocks caused by the integration of data and process models. To our
knowledge, hardly any analysis technique taught in textbooks is grounded in both data
and processes. At the same time, we see that courses on Data and Information Manage-
ment (IS2010.2) focus on information requirements and data modeling. Processes are
acknowledged, but play a very small role in the IS 2010 guideline. Similarly, process
modeling courses, like the elective on BPM, focus on processes, but tend to ignore that
these processes manipulate (structured) data.
A course on information system modeling should not only focus on these two as-
pects, but also show the synergy between the two modeling paradigms. We therefore
developed the tool ISModeler that makes this synergy explicit [16]. It combines a pro-
cess model in the form of a Petri net in which tokens carry identifiers [10, 12], a data
model, and a transition specification that defines how each transition manipulates the
data model through transactions. The tool builds upon CPN tools [17], and a theorem
prover to validate the transactions on populations of the data model. In ISModeler, a
transition is enabled if it is both enabled in the Petri net, and the transaction yields a
valid population. Fig. 3 shows a screenshot of the system. In the top part of the window,
the enabled transitions are shown, whereas the bottom part depicts the population of
the data model, by listing per entity type and relationship the elements it contains. In
this way, we envision that students will better understand the synergy between data and
processes, and thus design and build better integrated information systems. The tool is
planned to be put into action in next year’s edition to evaluate its effectiveness.
6 Conclusions
In this paper, we propose an assignment that allows students to experience the design
and implementation of an information system using a BPMS. The proposed assignment
11
12. combines data and process modeling, forcing students to design and analyze their solu-
tion using formal techniques, and translate their solution into an information system.
Running the assignment for the first time shows that the assignment helps students
to experience design issues that arise while studying the case description. Students dis-
covered that abstract properties used in verification can be linked to actual properties in
the case description, and assist them in improving their solution.
However, the run also shows that students find it difficult to understand the synergy
between data and processes. Although in scientific literature several approaches exist
that allow to model this (cf. [7,9,12]), experiences with the assignment show that these
have not yet been embedded sufficiently in our education curricula.
References
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approach. MIT Press, 2011.
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on Database Systems, 1:9–36, January 1976.
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and R. Wright. Curriculum guidelines for undergraduate degree programs in Information
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synergy between data and processes. Technical Report UU-CS-2018-004, Utrecht Univer-
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12
13. Teaching Notes:
Specification and Design of an Information System
Assignment 2016/2017
Jan Martijn E.M. van der Werf1
and Artem Polyvyanyy2
1
Utrecht University
P.O. Box 80.089, 3508 TB Utrecht, The Netherlands
j.m.e.m.vanderwerf@uu.nl
2
The University of Melbourne, Parkville, VIC, 3010, Australia
artem.polyvyanyy@unimelb.edu.au
1 Introduction
During this course, you will design and implement your own information system for the
Private Teaching Institute (PTI). An information system is always a synergy between
data and processes. The data aspects describe the structure of information, whereas
the process aspect focuses on the information streams within an organisation. The data
aspect has been covered in different courses, e.g., in the course Data Modeling (IN-
FOB1DM) for information sciences, and Databases (INFODB) for computing sciences.
In this course, we will focus on the process aspect. However, as any information system
manipulates data, you will have to create and implement a data model.
The assignment consists of two phases. In the first phase, you will work in groups of
two students to design and analyse a specification for an information system to support
PTI. In this phase, you will apply different techniques covered during the lectures.
The second phase focuses on the actual implementation of the information system,
and is an individual assignment. At the end of the course, you have designed, and built
a completely working information system. For this, we rely on the Business Process
Management System (BPMS) ProcessMaker. A BPMS allows the quick realisation of
real information systems. In ProcessMaker, you will design the different processes in
the Business Process Modelling Notation (BPMN), add your data model, and imple-
ment forms for the different activities. Last, some logic (in PHP) is required to connect
data and processes.
As you will notice, the case is underspecified. It will be your task to carefully con-
sider the different options, and make deliberate decisions, which you have to document
as well. Therefore, part 1 is a group assignment, whereas phase 2 is an individual as-
signment. The idea behind this approach is that you can model in groups, discussing
different options and solutions, whereas in the implementation you can make a differ-
ence. It is allowed to cooperate in phase 2, but each has to demonstrate the system
individually. Additionally, you have to write a section on how your system differs from
your group partner.
Good luck with the assignment!
14. 2 The Case
The Private Teaching Institute (PTI) offers education tracks. Every educational track
consists of several mandatory courses, and some optional courses. PTI consists of a
small team per track, the track management, and a small student administration for all
tracks together. To deliver the courses, PTI has a pool of lecturers who are qualified to
deliver several courses. Everybody is entitled to enrol for a track. As soon as somebody
registered themselves, and they are accepted by the track management, they become a
student of that track. Students enrolled have to create an educational plan, consisting of
the courses they want to follow. This plan has to be approved by the appropriate track
management, and filed by the administration.
As soon as the plan is approved, students may register for courses. As soon as there
are sufficient registrations for a course, the management creates a tender and sends it
out to the lecturers who are qualified to give that course. After the response offer by the
lecturers, the management selects the best offer and appoints the corresponding lecturer
for that course. Every course at PTI consists of several lectures, either in a classical
class room setting or on-line, practical assignments, and one or more exams, depending
on the wishes of the appointed lecturer. Once the student meets all criteria set by the
lecturer, i.e., passing a sufficient number of assignments and exams, the student receives
from the administration a certificate of passing. In all cases, the result is filed by the
administration.
Once a student passed all the courses agreed upon in the educational plan, the stu-
dent is eligible to receive a diploma for that track. The track management verifies the
course certificates and the plan, after which the management can award the diploma.
Students can choose for a formal ceremony to receive the diploma, or it can be send by
post.
PTI wants a process-aware information system that supports them in their primary
processes, to ease the administrative burden.
3 Assignment
The assignment is to specify and implement an information system that supports PTI.
The assignment is divided into two phases. In the first phase, you will design and specify
the information system. In the second phase, you will implement the information system
itself, using the BPMS ProcessMaker.
3.1 Phase 1: Specification
Per group of two students, you will design, analyse a specification of the information
system. The specification consists of two parts: a data model, and several process mod-
els. For the data model, you can use a notation of choice, such as ER-diagrams, ORM,
or UML class diagrams. Please document which notation you use. For the process mod-
els, you will have to use Petri nets. Divide the system into several processes, model each
process, and show how these models cooperate.
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15. Document your specification. For each model, describe the general idea of the
model, the main design decisions, and describe the elements, and their intention. For the
data model, this implies describing the entity and relation types, and their cardinalities.
For the process models, describe each transition.
Next step of the specification phase is to analyse your design, using techniques
explained during the lectures. It is not needed to use all discussed techniques, as long
as you can show that:
1. the solution is correct (verification, e.g., boundedness, liveness, soundness, etc.)
2. Your solution is a correct solution for the given situation (validation)
This phase results in a specification document comprising at least the following ele-
ments:
End-user analysis What are the main users of the system, and how will these use the
system? Use use cases or scenarios to describe these.
Data model What are the main concepts and data elements the system manipulates?
How are these related?
Process models What are the different processes, and how are these related?
Analysis Verify and validate your solution: why is the solution a correct solution, and
that your solution is correct. Do this by showing how your model supports the
described use cases, and verify the models, and their relations.
The goal of this specification document is twofold:
A. to analyse the context of the information system, deriving a proper solution;
B. to guide the implementation of the information system.
3.2 Phase 2: Implementation
Once you have an (initial) version of the specification document, you can start imple-
menting the system yourself. This phase is an individual assignment.
As a first step, design BPMN models that implement the process models you de-
signed. As Petri nets and BPMN have different semantics, you have to provide a ratio-
nale of why your BPMN models implement each process specified in phase 1. Next,
you have to design the forms, gateway logic, and data interactions to create a properly
functioning information system.
This phase results in two deliverables: the implementation guide, and the implementa-
tion itself. The guide comprises at least the following elements:
1. Workflow models in BPMN;
2. Description of the processes;
3. Database structure;
4. Forms per activity;
5. Logic per gateway;
6. A short reflection;
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16. Although phase 2 is an individual assignment, you are allowed to cooperate with
your partner with whom you created the specification document. However, you have to
add a reflection, that states how and where your information system differs from you
partner.
3.3 Assessment & grading
For the assessment and grading of the assignment, we use the criteria specified in the
table below. The final grade for the assignment is determined by dividing the sum of all
gained points by 20.
Specification document Points Implementation guide Points
Context analysis 15 Quality BPMN models 25
Data model 10 Model descriptions 5
Quality process models 30 Gateway logic 5
Documentation of models 15 Forms per activity 10
Verification and validation 25 Reflection 10
Layout 5 Layout 5
Implemented functionality 25
Demonstration 15
Total 100 Total 100
3.4 Some tips
1. Pay attention to edge cases;
2. What happens if people do not abide by what was agreed upon?
3. Write down your assumptions in the rationale, as these shape your solution!
4. Work in small iterations: add a small piece of functionality, verify and validate, and
then expand to the next feature;
5. Divide the problem space smartly, and you will conquer the solution!
4 Course Planning
This is a 7,5 EC course, which equals 210 hour. For this course, the expected hours per
task are as follows:
– Lectures: 30 hours
– Lab sessions: 30 hours
– Assignment: 100 hours
– Exam (including preparations): 50 hours
The course consists of three phases. The first two phases have lectures three times a
week, and are concluded with a written exam. The last phase is concluded with an
individual demonstration of your implemented information system. All deadlines are
Friday 17:00 CEST. The intended schedule of the course is given in the table below.
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17. week Monday Tuesday Thursday Deadline
1 Graphs Labeled Transition Petri nets
Systems
2 Petri nets I Petri nets II BPMN & Workflows
3 Reachability graphs BPMSs & ProcessMaker Ascension day
4 Question & Answer Partial exam A SD-1
5 Pentacost Bisimulation I Bisimulation II IG-1
6 Coverability I Coverability II Invariants I SD-2
7 Invariants II Process mining I Process mining II IG-2
8 Question & Answer Partial exam B
9 Hands-on ProcessMaker
10 Demonstrations SD, IG
(SD = Specification document, IG = Implementation Guide)
A Rubrics For the Specication Document
User and Context Analysis (max 15pt)
Actors −− − 0 + ++
Scenarios / use cases −− − 0 + ++
Analysis −− − 0 + ++
General remarks: The problem analysis shows that you understand the problem of the
client: what are the main processes the system should understand? How can these pro-
cesses be broken down into activities? What are the actors, and how are these supposed
to work with the system. This should be written down for each of the processes the
system will support.
Data model (max 10pt)
Description of the model −− − 0 + ++
Concepts and attributes −− − 0 + ++
Relations −− − 0 + ++
Quality of the models −− − 0 + ++
General remarks: The data model should be properly documented: are the document
and model conforming? Are all basic concepts there? Lecturers, courses, tracks, grades,
diplom, exercises, mandatory per track?, Are the minimallly required relations present?
Are the cardinalities correct?
Process models (max 30pt)
Subscription process −− − 0 + ++
Curriculum management −− − 0 + ++
Course progress −− − 0 + ++
Teacher tender process −− − 0 + ++
Model interrelationship −− − 0 + ++
Quality of the models −− − 0 + ++
General remarks: Each of the processes should be modelled using Petri nets. One can
use ordinary Petri nets or Workflow-nets, based on the type of process under modeling.
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18. There are a few basic processes that should be supported by the system, which are listed
in the feedback form. These models should be able to replay the scenarios written down
in the problem analysis. More models are encouraged, and – if correct – result in extra
credit points. These models interact: a student cannot register for a course before they
are registered at the organisation. A course cannot be finished without a teacher, etc.
These dependencies are modelled using interrelationships, e.g. via subnets.
Description models (max 15pt)
Description fits models? −− − 0 + ++
Explanation design decisions? −− − 0 + ++
Explanation most important transitions / flows? −− − 0 + ++
General remarks: A model without description is not a model. Hence, one should
describe how the model works, what are the main activities in the process model, what
is the intention of the model? What are the main assumptions and design decisions made
in the model? This should be denoted, so that others are able to follow your models and
reasoning.
Analysis (max 25pt)
Verification −− − 0 + ++
Reachability / Coverability −− − 0 + ++ N/A
Place & Transition invariants ? −− − 0 + ++ N/A
Soundness / weak termination −− − 0 + ++
Validation −− − 0 + ++
General remarks: One should show that the produced specification is correct. Correct-
ness is done in two ways: verification, i.e., whether the model is correct, and validation,
i.e., whether it is the correct model. For the former analysis techniques taught dur-
ing the course should be used. At least one should discuss soundness of the created
models, i.e., weak and proper completion of the models, and use at least either cover-
ability/reachability analysis or place and transition invariants to analyze the correctness.
For validation, one should show that each scenario from the problem analysis can be
replayed with the proposed solution.
B Rubrics For the Implementation Guide
BPMN models and database (max 25pt+10pt)
Each process has a clear case? −− − 0 + ++
Use of BPMN elements / patterns −− − 0 + ++
Transformation Petri nets to BPMN −− − 0 + ++
Transformation Data model to table structure −− − 0 + ++
General remarks: Each process should have a clear case that flows through the system.
For example, a student following an education track, from registration up to diplom
ceremony, or a student following a case. A clear case helps in thinking in terms of the
process to be followed, and often simplifies the model. The transformation from PN to
BPMN should be clear, and if there are transformation choices made, these should be
explained under Model Description. The BPMN model should make sense.
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19. Description models (max 10pt)
All models described? −− − 0 + ++
Transformation / draft decisions documented? −− − 0 + ++
Gateway logic −− − 0 + ++
General remarks: To what extent are each of the models explained and detailed? Are
there any design decisions made? Are these made explicit, together with the assump-
tions? Each gateway has some logic to operate on, based on variables. Is each gateway-
decision detailed and explained?
Description of the activities (max 10pt)
Forms used for the activity −− − 0 + ++
Role permissions −− − 0 + ++
Triggers −− − 0 + ++
General remarks: Each activity can be performed by one or more users or groups.
These need to be specified for each activity, together with the form that the user needs
to fill in to complete the activity. If the activity is manual, there should be a clear de-
scription. In case triggers are used in the activity (e.g. to populate a form, or to save
elements from a form to the database, this needs to be documented as well
Reflection (max 10pt): −− − 0 + ++
General remarks: Although the implementation is an individual assignment, it is al-
lowed to cooperate with your group patner, as you both created the same specification
document. However, there are many design decisions that influence the implementation.
Most likely you will take different strategies. In the reflection, one needs to compare
their work with the team partners, and evaluate where and how the implementations
differ.
System implementation (max 25pt)
Functionality supported by the system −− − 0 + ++
All models realized in ProcessMaker? −− − 0 + ++
All models integrated in ProcessMaker? −− − 0 + ++
General remarks: Is all functionality implemented in ProcessMaker? A clear indicator
is to check in which notation the BPMN models are created, and which elements these
model contain. In the end, a fully functioanl system should be delivered. This requires
several processes to communicate via a database. How much of the desired functionality
(by the assignment text) has been implemented? Similar, how much of the functionality
described by the specification document has been implemented?
Demonstration (max 15pt)
Is the system workable for PTI? −− − 0 + ++
Did they present the happy flow? −− − 0 + ++
Would you buy the system? −− − 0 + ++
General remarks: Based on the demonstration, is the system workable for the client?
Would you buy the product for your educational institute? It is not so much as how well
it is presented, but how much of the important use cases can be demonstrated and are
supported by the system?
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