This document provides an introduction to the CS351 Software Engineering course taught by Michael Oudshoorn and Ray Babcock. It outlines the course structure, objectives, assessment, expectations and indicative topics. The course will involve lectures, tutorials and a large individual project. Students are expected to spend around 130 hours over the semester gaining experience in software engineering practices and skills.
This document provides an overview and outline for a Mechanical Engineering Design Project course (MECH 390). It discusses expectations for the course which include completing a design project in a team, taking a midterm exam, tutorials, and quizzes. Students are expected to apply engineering skills to open-ended problems through concepts, solutions, planning, decision making, modeling, prototyping, and communication. Success requires attention in lectures, studying documentation, and attendance to learn skills needed for engineering design in their career.
This document provides information about an online SQL course for data science. The course is designed for beginners to learn essential SQL skills and get experience through hands-on projects. Students will learn SQL concepts and their real-world applications in industries like banking, retail and more. They will complete three projects analyzing real data sets and also be prepared for SQL interviews. The goal is for students to gain confidence in their SQL abilities for jobs in data analytics.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This document provides an overview of key topics in object-oriented analysis and design that will be covered, including iterative development processes like the Unified Process, UML notation, requirements analysis, OOA/D principles, design patterns, and more. It discusses thinking in terms of objects and their services and responsibilities. Homework is assigned to define and discuss use cases, domain models, interaction diagrams, and class diagrams. Students are responsible for all material in Chapter 1.
This document summarizes the role of an architect and key aspects of architecture. It discusses that an architect understands architectural drivers, designs technical strategies while considering things that are costly to change. An architect fits between the product owner and project manager. The document also covers architecture frameworks, modeling approaches, technical architecture styles, non-functional requirements, and testing non-functional requirements.
This document outlines the engineering design process and its key steps. It begins with defining the problem by identifying who has a problem and why it needs to be solved. This is followed by background research on existing solutions and users. The next step is to specify design requirements by analyzing what characteristics a solution must have. Further steps in the process include brainstorming solutions, choosing the best solution, developing it through prototyping, testing and redesign, and finally communicating the results. The process is iterative, with revisiting earlier steps as needed based on testing results. Maintaining a design notebook to document all work is also emphasized.
This document provides an overview and study guide for an engineering programming course using C++. It includes information on prerequisites, prescribed materials, course objectives, structure, administration, and evaluation. The course aims to teach object-oriented programming skills and problem solving using C++. It is divided into five units covering C++ coding elements, object-oriented design methodology, C++ classes and objects, graphical user interfaces, and interface programming. Students will complete lectures, tutorials, practical sessions, and self-study to learn programming concepts and skills to solve basic engineering problems. Evaluation will include module tests, practical assignments, and a final examination.
Webinar at AgileTD Mondays: Mind maps to support exploratory testing: a team ...Claudia Badell
This document discusses how a team at Infragistics uses mind maps to support exploratory testing. The team builds a mind map for each new feature to identify test conditions, ideas, and variables to cover. Mind maps help the team iterate over existing test ideas, identify new test conditions and ideas, and maintain a common understanding of features. The team references mind maps during exploratory testing sessions but does not track the sessions in the maps. Mind maps are updated based on product changes and stored in a repository with naming conventions. The approach helped the team share knowledge and avoid rethinking test ideas from scratch.
This document provides an overview and outline for a Mechanical Engineering Design Project course (MECH 390). It discusses expectations for the course which include completing a design project in a team, taking a midterm exam, tutorials, and quizzes. Students are expected to apply engineering skills to open-ended problems through concepts, solutions, planning, decision making, modeling, prototyping, and communication. Success requires attention in lectures, studying documentation, and attendance to learn skills needed for engineering design in their career.
This document provides information about an online SQL course for data science. The course is designed for beginners to learn essential SQL skills and get experience through hands-on projects. Students will learn SQL concepts and their real-world applications in industries like banking, retail and more. They will complete three projects analyzing real data sets and also be prepared for SQL interviews. The goal is for students to gain confidence in their SQL abilities for jobs in data analytics.
This is an intermediate conversion course for C++, suitable for second year computing students who may have learned Java or another language in first year.
This document provides an overview of key topics in object-oriented analysis and design that will be covered, including iterative development processes like the Unified Process, UML notation, requirements analysis, OOA/D principles, design patterns, and more. It discusses thinking in terms of objects and their services and responsibilities. Homework is assigned to define and discuss use cases, domain models, interaction diagrams, and class diagrams. Students are responsible for all material in Chapter 1.
This document summarizes the role of an architect and key aspects of architecture. It discusses that an architect understands architectural drivers, designs technical strategies while considering things that are costly to change. An architect fits between the product owner and project manager. The document also covers architecture frameworks, modeling approaches, technical architecture styles, non-functional requirements, and testing non-functional requirements.
This document outlines the engineering design process and its key steps. It begins with defining the problem by identifying who has a problem and why it needs to be solved. This is followed by background research on existing solutions and users. The next step is to specify design requirements by analyzing what characteristics a solution must have. Further steps in the process include brainstorming solutions, choosing the best solution, developing it through prototyping, testing and redesign, and finally communicating the results. The process is iterative, with revisiting earlier steps as needed based on testing results. Maintaining a design notebook to document all work is also emphasized.
This document provides an overview and study guide for an engineering programming course using C++. It includes information on prerequisites, prescribed materials, course objectives, structure, administration, and evaluation. The course aims to teach object-oriented programming skills and problem solving using C++. It is divided into five units covering C++ coding elements, object-oriented design methodology, C++ classes and objects, graphical user interfaces, and interface programming. Students will complete lectures, tutorials, practical sessions, and self-study to learn programming concepts and skills to solve basic engineering problems. Evaluation will include module tests, practical assignments, and a final examination.
Webinar at AgileTD Mondays: Mind maps to support exploratory testing: a team ...Claudia Badell
This document discusses how a team at Infragistics uses mind maps to support exploratory testing. The team builds a mind map for each new feature to identify test conditions, ideas, and variables to cover. Mind maps help the team iterate over existing test ideas, identify new test conditions and ideas, and maintain a common understanding of features. The team references mind maps during exploratory testing sessions but does not track the sessions in the maps. Mind maps are updated based on product changes and stored in a repository with naming conventions. The approach helped the team share knowledge and avoid rethinking test ideas from scratch.
This document is Joshua Tovar's career portfolio, which contains various sections including a table of contents, statement of authenticity, personal mission statement, elevator speech, DeVry plan of study, course descriptions, resume, professional development/training, references, awards and accomplishments, term grades, volunteer history, professional affiliations, career path goals, and work samples. It provides an overview of Joshua's educational background, skills, work experience, goals, and samples of work completed throughout his studies.
This document provides an overview and introduction to the CSE 2205 Software Engineering course. It discusses the educational objectives of learning that building large software systems requires more than just programming. It introduces the instructor and describes how the course will be taught based on real-world experience rather than just textbooks. It also outlines the major course components, including a large multi-person project with milestones, lectures, presentations, and exams. Finally, it briefly defines software engineering and discusses why studying it is important given the size and critical nature of software today.
The document provides information about various elective courses being offered by the School of Computer Science and Engineering. It includes details about the course codes, titles, credit hours, syllabus outlines, outcomes, scope and application areas. Some of the courses discussed are:
- CSE406: Advanced Java Programming focusing on latest JDK technologies and Oracle certification.
- CSE504 and CSE507: Storage Technology Foundation and lab, covering storage concepts and preparing students for EMC certification.
- CSE327 and CSE328: Simulation and Modeling course and lab, applying concepts in areas like manufacturing and logistics.
- CSE434: Game Development in 3D for creating games using concepts like design
This document is a syllabus for an online technical writing course. It provides information about the instructor, learning objectives, required textbook, grading breakdown, and course policies. Students will complete 5 projects involving technical writing deliverables like definitions, descriptions, data visualization, usability testing, and professional materials. The projects require both written and multimedia components, such as podcasts, slidecasts, infographics, and screencasts. The syllabus outlines formatting and submission requirements and consequences for late work.
by Brad Appleton,
Presented August 2006 at Architecture & Design World 2006; Chicago, IL USA
Software Configuration Management Patterns for Agile Software Architectures.
The document discusses best practices for training subject matter experts (SMEs) to develop rapid e-learning materials, including having SMEs provide content while training experts handle instructional design, using structured software templates to standardize development, and providing resources for SMEs to learn e-learning design skills.
Software design for scientific applicationsPriyanka Lal
The document discusses challenges in designing and distributing scientific software. It notes that distributing software widely can strengthen research programs through collaboration and contribution to the scientific community. However, software development faces challenges including managing expectations from multiple stakeholders, integrating work from students and researchers with different priorities, and ensuring software is portable, extensible and high quality. The document recommends approaches like component design to construct applications from reusable parts, careful interface design for usability and interoperability, and adopting some basic quality practices from software engineering to improve research software.
The document provides an assignment for a CIS 417 course on designing a digital forensic laboratory. Students are asked to write a 4-5 page paper planning the budget, physical requirements, recommended hardware/software tools, criteria for selecting workstations, and policies/procedures for maintaining the lab environment and preserving evidence. The paper must follow APA formatting guidelines and cite at least 3 quality resources. The assignment addresses learning outcomes related to describing forensic labs, the evidence lifecycle, constraints on investigations, and developing a deployment plan that solves a business problem.
This document provides an overview of the CS 394B Introduction to Blockchain Technologies course. The course will involve both lecture videos and in-class discussions and presentations. Students will learn about technical blockchain concepts, integrate blockchain ideas into their own projects, present and critique research papers, and complete a group research project. The instructor, Marco Canini, is introduced, along with his research interests in distributed systems. An outline of course topics, requirements, and the project are also provided to give students an understanding of what will be covered in the class.
This document provides an overview of object-oriented analysis and design (OOAD) concepts. It discusses iterative development processes like the Unified Process and agile approaches. It emphasizes thinking in terms of objects and their services and responsibilities. The document also covers UML notation, requirements analysis, design patterns, OOA/D principles, and implementing designs in code. Students will study these topics and be assigned homework to define and discuss domain models, interaction diagrams, class diagrams, and use cases.
This document provides an overview of object-oriented analysis and design (OOAD) concepts. It discusses iterative development processes like the Unified Process and agile approaches. It emphasizes thinking in terms of objects and their services and responsibilities. The document also covers UML notation, requirements analysis, design patterns, OOA which identifies problem domain objects, and OOD which defines how software objects meet requirements. Students will study these topics and be assigned homework to define and discuss domain models, interaction diagrams, class diagrams, and use cases.
This document is a hybrid syllabus for an English technical writing course. It outlines the course objectives, projects, grading, policies, and instructor contact information. The course aims to help students communicate technical information to various audiences through different media like reports, definitions, data visualizations, usability tests, and professional profiles. It will be held once a week in-class and include additional online work like discussions and peer reviews. Students will complete 5 projects involving both written and multimedia deliverables on technical communication topics.
Apex Enterprise Patterns Galore - Boston, MA dev group meeting 062719BingWang77
1. The document summarizes best practices and patterns discussed at a Boston Salesforce Developers Group meeting, including triggers, controllers, SOQL, callouts, and batchable/schedulable jobs.
2. It recommends separating business logic from user interface code, using mock objects in tests to isolate units, and having a single "DatabaseJockey" class perform all DML for consistency.
3. Other tips include treating triggers like workflow rules, returning errors from controllers to the user interface, querying data once through a shared SOQL class, and abstracting callouts to external services. The takeaway was to establish patterns and evolve them over time.
Tech and Product Management by Foursquare's PMProduct School
The document summarizes a talk given by Avneesh Kohli on the role of product managers and how they should think about technology. Some key points:
- Product managers need to understand their product's architecture and how different components work together so they can plan features and assess tradeoffs. They don't need to know coding languages but should understand systems.
- It's important for PMs to build rapport with engineers by constantly articulating goals, involving them in decisions, and thinking about implementations challenges from an engineering perspective.
- PMs should focus on learning enough about technology to advocate for users, not technical details, and work with engineers by setting clear expectations and helping with culture.
This document provides an overview of the CIS 4190/5190 Applied Machine Learning course. It discusses course goals of identifying ML opportunities and training models. Lectures will focus on mathematical understanding and assignments on applying concepts. The schedule, grading, instructors, and policies are also outlined. Machine learning is introduced as algorithms that improve performance on tasks through experience. Examples of supervised learning for prediction and game playing are provided.
Improve Product Design with High Quality RequirementsElizabeth Steiner
The webinar discussed improving product design through high quality requirements. It emphasized the importance of understanding stakeholders, determining real needs through concept of operations documents, writing specific but not overly specific requirements, including traceability, and using tools to automatically check requirements quality. The presenter demonstrated Innoslate's requirements management tools.
This document provides an introduction to the Python programming language. It discusses that Python was created in 1991, is an interpreted language useful for scripting, and is used by many companies and organizations. It also gives instructions on installing Python on Windows, Mac OS X, and Linux systems. Finally, it demonstrates some basic Python concepts like print statements, comments, functions, and whitespace significance through simple code examples.
This document is Joshua Tovar's career portfolio, which contains various sections including a table of contents, statement of authenticity, personal mission statement, elevator speech, DeVry plan of study, course descriptions, resume, professional development/training, references, awards and accomplishments, term grades, volunteer history, professional affiliations, career path goals, and work samples. It provides an overview of Joshua's educational background, skills, work experience, goals, and samples of work completed throughout his studies.
This document provides an overview and introduction to the CSE 2205 Software Engineering course. It discusses the educational objectives of learning that building large software systems requires more than just programming. It introduces the instructor and describes how the course will be taught based on real-world experience rather than just textbooks. It also outlines the major course components, including a large multi-person project with milestones, lectures, presentations, and exams. Finally, it briefly defines software engineering and discusses why studying it is important given the size and critical nature of software today.
The document provides information about various elective courses being offered by the School of Computer Science and Engineering. It includes details about the course codes, titles, credit hours, syllabus outlines, outcomes, scope and application areas. Some of the courses discussed are:
- CSE406: Advanced Java Programming focusing on latest JDK technologies and Oracle certification.
- CSE504 and CSE507: Storage Technology Foundation and lab, covering storage concepts and preparing students for EMC certification.
- CSE327 and CSE328: Simulation and Modeling course and lab, applying concepts in areas like manufacturing and logistics.
- CSE434: Game Development in 3D for creating games using concepts like design
This document is a syllabus for an online technical writing course. It provides information about the instructor, learning objectives, required textbook, grading breakdown, and course policies. Students will complete 5 projects involving technical writing deliverables like definitions, descriptions, data visualization, usability testing, and professional materials. The projects require both written and multimedia components, such as podcasts, slidecasts, infographics, and screencasts. The syllabus outlines formatting and submission requirements and consequences for late work.
by Brad Appleton,
Presented August 2006 at Architecture & Design World 2006; Chicago, IL USA
Software Configuration Management Patterns for Agile Software Architectures.
The document discusses best practices for training subject matter experts (SMEs) to develop rapid e-learning materials, including having SMEs provide content while training experts handle instructional design, using structured software templates to standardize development, and providing resources for SMEs to learn e-learning design skills.
Software design for scientific applicationsPriyanka Lal
The document discusses challenges in designing and distributing scientific software. It notes that distributing software widely can strengthen research programs through collaboration and contribution to the scientific community. However, software development faces challenges including managing expectations from multiple stakeholders, integrating work from students and researchers with different priorities, and ensuring software is portable, extensible and high quality. The document recommends approaches like component design to construct applications from reusable parts, careful interface design for usability and interoperability, and adopting some basic quality practices from software engineering to improve research software.
The document provides an assignment for a CIS 417 course on designing a digital forensic laboratory. Students are asked to write a 4-5 page paper planning the budget, physical requirements, recommended hardware/software tools, criteria for selecting workstations, and policies/procedures for maintaining the lab environment and preserving evidence. The paper must follow APA formatting guidelines and cite at least 3 quality resources. The assignment addresses learning outcomes related to describing forensic labs, the evidence lifecycle, constraints on investigations, and developing a deployment plan that solves a business problem.
This document provides an overview of the CS 394B Introduction to Blockchain Technologies course. The course will involve both lecture videos and in-class discussions and presentations. Students will learn about technical blockchain concepts, integrate blockchain ideas into their own projects, present and critique research papers, and complete a group research project. The instructor, Marco Canini, is introduced, along with his research interests in distributed systems. An outline of course topics, requirements, and the project are also provided to give students an understanding of what will be covered in the class.
This document provides an overview of object-oriented analysis and design (OOAD) concepts. It discusses iterative development processes like the Unified Process and agile approaches. It emphasizes thinking in terms of objects and their services and responsibilities. The document also covers UML notation, requirements analysis, design patterns, OOA/D principles, and implementing designs in code. Students will study these topics and be assigned homework to define and discuss domain models, interaction diagrams, class diagrams, and use cases.
This document provides an overview of object-oriented analysis and design (OOAD) concepts. It discusses iterative development processes like the Unified Process and agile approaches. It emphasizes thinking in terms of objects and their services and responsibilities. The document also covers UML notation, requirements analysis, design patterns, OOA which identifies problem domain objects, and OOD which defines how software objects meet requirements. Students will study these topics and be assigned homework to define and discuss domain models, interaction diagrams, class diagrams, and use cases.
This document is a hybrid syllabus for an English technical writing course. It outlines the course objectives, projects, grading, policies, and instructor contact information. The course aims to help students communicate technical information to various audiences through different media like reports, definitions, data visualizations, usability tests, and professional profiles. It will be held once a week in-class and include additional online work like discussions and peer reviews. Students will complete 5 projects involving both written and multimedia deliverables on technical communication topics.
Apex Enterprise Patterns Galore - Boston, MA dev group meeting 062719BingWang77
1. The document summarizes best practices and patterns discussed at a Boston Salesforce Developers Group meeting, including triggers, controllers, SOQL, callouts, and batchable/schedulable jobs.
2. It recommends separating business logic from user interface code, using mock objects in tests to isolate units, and having a single "DatabaseJockey" class perform all DML for consistency.
3. Other tips include treating triggers like workflow rules, returning errors from controllers to the user interface, querying data once through a shared SOQL class, and abstracting callouts to external services. The takeaway was to establish patterns and evolve them over time.
Tech and Product Management by Foursquare's PMProduct School
The document summarizes a talk given by Avneesh Kohli on the role of product managers and how they should think about technology. Some key points:
- Product managers need to understand their product's architecture and how different components work together so they can plan features and assess tradeoffs. They don't need to know coding languages but should understand systems.
- It's important for PMs to build rapport with engineers by constantly articulating goals, involving them in decisions, and thinking about implementations challenges from an engineering perspective.
- PMs should focus on learning enough about technology to advocate for users, not technical details, and work with engineers by setting clear expectations and helping with culture.
This document provides an overview of the CIS 4190/5190 Applied Machine Learning course. It discusses course goals of identifying ML opportunities and training models. Lectures will focus on mathematical understanding and assignments on applying concepts. The schedule, grading, instructors, and policies are also outlined. Machine learning is introduced as algorithms that improve performance on tasks through experience. Examples of supervised learning for prediction and game playing are provided.
Improve Product Design with High Quality RequirementsElizabeth Steiner
The webinar discussed improving product design through high quality requirements. It emphasized the importance of understanding stakeholders, determining real needs through concept of operations documents, writing specific but not overly specific requirements, including traceability, and using tools to automatically check requirements quality. The presenter demonstrated Innoslate's requirements management tools.
This document provides an introduction to the Python programming language. It discusses that Python was created in 1991, is an interpreted language useful for scripting, and is used by many companies and organizations. It also gives instructions on installing Python on Windows, Mac OS X, and Linux systems. Finally, it demonstrates some basic Python concepts like print statements, comments, functions, and whitespace significance through simple code examples.
This document provides an introduction to analyzing the runtime of algorithms asymptotically. It discusses how machine instructions each take a fixed amount of time, so basic operations have O(1) runtime. Control structures like loops can affect runtime - for example, a for loop over an array of size n takes O(n) time. Different algorithms are analyzed and compared asymptotically, like some sorting algorithms taking O(n log n) time while others take O(n^2) time. Understanding asymptotic runtime allows predicting how algorithms scale to larger inputs.
Informed search algorithms aim to be smarter than blind search about which paths to explore by using an evaluation function to estimate the cost to the goal for each node, with best-first search always expanding the node with the lowest estimated cost; A* search combines the cost so far and estimated remaining cost to provide an optimal search when the heuristic is admissible or consistent; pattern database heuristics derive more accurate estimates of moves required by solving subproblems exactly and combining the solutions.
This document discusses processes and threads. It begins by defining processes and describing their states, creation, termination, and hierarchies. It then defines threads as components within processes that can run concurrently. Various methods for implementing and scheduling threads are described, including in user space, kernel space, and hybrid approaches. Interprocess communication techniques like critical sections, semaphores, mutexes, monitors, and message passing are covered. Classical synchronization problems like the dining philosophers, readers/writers, and sleeping barber are also summarized along with their solutions.
This document provides an outline and overview of key topics related to data structures and algorithms that will be covered in an ECE 250 course, including different types of memory allocation (contiguous, linked, indexed), examples of basic data structures (arrays, linked lists, trees), analysis of algorithm runtimes for different operations (find, insert, erase) on various data structures, and a brief overview of subsequent topics to be addressed in the course like asymptotic analysis, specific linearly ordered and relation-free data structures, sorting algorithms, and algorithm design techniques.
This document discusses different number systems including positional and non-positional. It describes the decimal, binary, octal, and hexadecimal number systems. For each system it provides the base, symbols used, and examples of converting values between the systems. Key points covered include how positional number systems represent values based on the symbol's place, and algorithms for converting between bases for both integral and fractional values.
This document contains information about a Data Structures and Algorithms course taught by Professor Yusuf Sahillioğlu at Middle East Technical University. It provides details about the course objectives, textbook, grading breakdown, course outline covering topics like sorting, lists, trees and graphs, and motivational examples demonstrating how data structures can be used to efficiently store and process data. It also introduces some basic C++ concepts like classes, objects, encapsulation and information hiding that will be used in the course.
This document discusses binary search trees (BSTs). It defines BSTs as binary trees where the value in each node is greater than all values in its left subtree and less than all values in its right subtree. It explains that searches, insertions and deletions in balanced BSTs have O(log n) complexity on average. The document provides pseudocode and examples for searching, inserting, and removing nodes from a BST. It also discusses how the shape and balance of a BST can impact performance of the operations.
This document summarizes a lecture on programming techniques for teams and software processes. The lecture discusses tips for partitioning tasks across team members either functionally or by task. It emphasizes the importance of communication through documentation, source control tools, and continuous integration and testing. The lecture then covers the waterfall software development process, which involves sequential phases from requirements to design to implementation and testing. However, it notes that pure waterfall is rarely used for software due to long timelines and lack of feedback.
This document provides an introduction to MATLAB and Simulink. It discusses what can be gained from learning MATLAB/Simulink, including being able to solve simple problems and explore the software. The contents include an overview of built-in functions, getting started, vectors and matrices, and modeling examples in MATLAB and Simulink. It also covers M-files, script and functions, and provides examples of basic operations in MATLAB like arithmetic on matrices and accessing matrix elements.
The document provides an overview of AWS Free Tier and key AWS services. It discusses how AWS provides global infrastructure across multiple regions and availability zones to provide high availability and meet regulatory requirements. Key services summarized include IAM for access control, S3 for object storage, EC2 for virtual servers, EBS for block storage, load balancers, CloudWatch for monitoring, auto scaling, RDS for databases, VPC for virtual networks, and the AWS CLI.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
2. CS351 - Software Engineering (AY2004) 2
Introduction
• This course is taught by Michael Oudshoorn and Ray Babcock
• Ray’s consulting times are advertised on the web and outside
his door.
• Michael is available by appointment through Jeannette Radcliffe
in the Departmental Office
– It is difficult for the Head of Department to set fixed office
hours due to various meetings.
– Don’t let the need for an appointment stop you from seeking
help.
• A Bulletin Board is being set up for this subject and you are
encouraged to submit questions to it.
– Questions and answers are visible to everyone.
– You’re encouraged to read it regularly.
– It will also be used for class-wide announcements.
3. CS351 - Software Engineering (AY2004) 3
What is our background?
• Ray has many years of experience as a software engineer
working on various projects before becoming an academic.
• Michael has consulted to numerous companies in Australia, Asia
and the US. This consulting includes teaching various aspects
of Software Engineering to staff of these companies.
• Both have a detailed knowledge of what it takes to build large
software systems.
– Building the right system right!
• We plan to pass those skills onto you through the lectures etc,
and by providing you with realistic experience in your
assignment.
4. CS351 - Software Engineering (AY2004) 4
What is your background?
• Ideally, you should have completed:
– CS221 Computer Science I
– CS222 Computer Science II
– CS223 Computer Science III
– CS324 Computer Science IV
• You will be proficient at coding and the use of data structures
and algorithms.
5. CS351 - Software Engineering (AY2004) 5
What is the subject all about?
• CS351/352 examines software engineering in the small, You
should take both subjects. The follow-on subjects CS460/461
examine software engineering in the large.
• Software engineering in the small is those aspects of software
engineering that you can individually perform to produce good
high-quality software. The fine-detail of software engineering.
• Software engineering in the large is those aspects of software
engineering needed to design, develop and maintain large
complex systems. These are the management tools and the
group work that you participate in. The big-picture of software
engineering.
• We will discuss the skills needed to undertake software
engineering in the small in lectures and you will get the chance
to put them in practice through your assignments.
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Objectives
• These courses (CS351 and CS352) aim to produce graduates
that:
– Are able to build and integrate complex systems
– Understand software engineering issues such as:
• Configuration management
• Effort estimation
• Subcontracting
• Verification and validation
• Software integration
• Maintenance
– Negotiate with others to procure and distribute software
– Adhere to software specifications and module interfaces
– Develop efficient and correct code
– To be able to work independently.
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Our hopes
• By the time students finish this course they should have real-
world experiences that will see them well placed to get
employment after taking CS460/461.
• Students should be able to talk to employers about the problems
and issues involved in building large complex systems.
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Course structure
• The course is paired with CS352 and students must complete
both courses in the same year.
• The course will consist of lectures, tutorials (an out of lab “in-lab”
small group discussion session) and a large project (CS352)
with several deliverables – more on this soon.
• The courses require verbal presentations and written
documentation to be produced.
• The project (CS352) is large and offers the opportunity to utilize
knowledge you have gained in other subjects, especially those
related to programming, data structures and algorithms.
– Indeed your general knowledge of computer science will
typically shape the design and implementation of the solution
you produce.
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Corequisite
• CS351 Software Engineering must be taken with CS352
Software Engineering Project.
• This allows the lecture material to be delivered over Fall with
some warm-up exercises and a significant and interesting
project to be completed in Spring giving you a realistic
experience.
• The courses are a lot of work (more on this shortly), but it is a lot
of fun, and you gain many valuable skills which will assist you in
any large software project you get involved in.
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Tutorials
• Rather than have many “in-labs” in this course, we will also have
a small number of tutorials. This will be an opportunity for you to
engage in discussion and share ideas with your class mates.
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Indicative project
• The project for CS352 is challenging and large.
• You will be given a project description and various interfaces to
adhere to. You will need to select a fixed number (say 3) of the
modules to build yourself, and you will need to acquire the
remainder from your classmates.
• You will buy and sell the modules.
• You will need to maintain the software you sell.
• Each person will start the semester with 100 zorkmids to use for
the purchase of software.
• CS351 will have a number of small assignments to give you the
skills needed for CS352.
• We encourage you to experiment and try new things.
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Individual-based
• The project is individual based. You will not be working as part
of a team, although you will be cooperating with other students
in the class.
• The aim is to develop appropriate skills for you to develop high
quality correct code.
• In CS352 we will add the requirement to behave in an
entrepreneurial manner through selling and buying your
software,
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Assessment
• Assessment (CS351) is based on:
– Assignment (40%)
– Quizzes (10%)
– Midterm exam (20%)
– Final exam (30%)
• A serious attempt must be may at each component.
– In particular, a 60% average across each of the following is
required to pass the subject:
• Quizzes
• Project/assignments
• Exams
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Resources available
• Web pages found at www.cs.montana.edu/courses/current/351.
• Visit the web pages often and check for updates.
• You will find:
– A bulletin board
– Lecture plan with links to the lecture slides
– Past exam paper (produced by Michael so you can see what
kinds of questions he might ask). NOTE that you may not be
able to answer all of the questions since it is an exam for a
different course!
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Consulting help
• There is no TA to assist you in this course!
• Like the real-world, you need to demonstrate a degree of self
sufficiency and initiative.
• We expect you to solve most of your own problems!
– Read the textbook
– Use the library
– Use the internet
– Talk to your peers
• A consultant will be available in a consulting room to offer limited
assistance with coding problems.
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Textbooks
• There are no fixed textbooks for this course. Like real-life, you
need to decide if you need one, and if so, which book best suits
you.
• We recommend the following as good books that cover the
much (but not all) of the lecture material.
– Robert Glass, “Facts and Fallacies of Software Engineering”,
Addison-Wesley.
– Evelyn Stiller & Cathie LeBlanc, “Project-Based Software
Engineering”, Addison-Wesley.
– Erich Gamma et al, “Design Patterns. Elements of Reusable
Object-Oriented Systems”, Addison-Wesley.
– John Bentley, “Programming Pearls”, Addison-Wesley
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Other books
• Other books that are worth looking at (and are used in
CS460/461) include:
– Roger Pressman, “Software Engineering. A Practitioner’s
Approach”, McGraw-Hill
– Ian Sommerville, “Software Engineering”, Addison-Wesley
– Stephen Schach, “Classical and Object-Oriented Software
Engineering”, McGraw-Hill
– Shari Pfleeger, “Software Engineering. Theory and Practice”,
Prentice-Hall
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Exam
• The final exam will be held in two parts at the regular lecture
times the week before the traditional exam week.
• The time slot during exam week will be used to go through the
exam and discuss solutions.
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Our expectations of you
• Ask questions
• Interact with the instructors
• Use each other as a resource
• Exchange ideas
• Experiment
• You should take notes in lectures – the slides are merely our
notes and may sometime be terse!
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Workload
• This is a 3 credit course. It should therefore occupy about 8-9
hours of your time each week.
• Lectures occupy 3 hours/week, which leaves about 5-6
hours/week on your project/assignments.
• You should expect to spend about 130 hours on this course over
the Fall semester.
– Remember we are looking for quality software so you are
likely to have to spend much more time testing and
validating your software than you have in other subjects!
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Deadlines
• The assignments will have firm deadlines.
• Significant grades are lost for being late – 20% of the available
marks each day or part thereof.
– Very much like a penalty clause in a contract.
• Deadlines will be at a specific time and late penalties applies
from 1 second past the deadline. The system clock on esus will
be treated as the official clock for the course.
• No excuses will be accepted – including machine failure, busy
labs, …
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Hint
• “Design for change” should be your mantra.
• Expect it, plan for it, design for it.
• Quality is an important part of any software system. To achieve
that you have to know what you are doing well and what you are
not doing well.
– Keep a journal and observe what you do.
– Record how long it takes to repair errors.
– Observe whee you introduced the error into the system.
– Think about how you could improve to be:
• More productive
• More accurate.
• More efficient.
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What is software engineering?
• Software engineering is an engineering discipline which is
concerned with all aspects of software production from the early
stages of system specification through to maintaining a system
after it has gone into use, and finally retiring a system after it is
no longer useful.
• There are 2 key phrases here:
– Engineering discipline
– All aspects of software production
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Engineering discipline
• Engineers make things work!
• They apply theories, methods and tools where they are
appropriate but they use them selectively and always try to
discover solutions to problems even when there are no
applicable theories and methods to support them.
• Engineering recognize that they have to work within
organizational and financial constraints, so they look for
solutions within those constraints.
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All aspects of software production
• Software engineering is not just concerned with the technical
processes of software development but also with activities such
as project management and with the development of tools and
theories to support software production.
• This course will focus on those aspects of software engineering
that are concerned with software development, while
CS460/461 will look at the broader picture.
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Software engineering vs computer
science
• Computer science is concerned with the theories and methods
which underlie computers and computer systems.
• Software engineering is concerned with the practical problems
of producing software.
• Some knowledge of computer science is needed to practice
software engineering.
• Ideally, all of software engineering should be underpinned by
theories of computer science, but in reality this is not always the
case.
– Software engineers must often use ad hoc approaches to
develop the software.
– Elegant theories of computer science cannot always be
applied to real, complex problems which require a software
solution.
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Software engineerin vs systems
engineering
• Computer systems engineering is concerned with all aspects of
the development and evolution of complex systems where
software plays a major role.
• Systems engineering is concerned with hardware development,
policy and process design and system deployment as well as
software engineering.
• System engineers are involved in specifying the system,
defining its overall structure and then integrating te different
parts to create the finished system. They are less concerned
with te engineering of the system components (hardware,
software etc).
• Systems engineering is older than software engineering:
– Complex industrial systems such as trains, chemical plants.
• As the percentage of software in systems has increased,
software engineering techniques are finding their way into
systems engineering.