The prime objective of “Online MCQ Quiz application” is to take quiz for any individuals through internet. Multiple choice questions (MCQ) will arrive for user with certain time limit for each quiz. “Online MCQ Quiz application” is an android app for making the competitive job exams easier. This app targets users who preparing for different kinds of government and non-government jobs like BCS (Bangladesh Civil Service), bank jobs etc. Users can read online and saved it for future offline reading. All the study materials are divided into chapters, topics, and subtopics and topic related. User can take exams on various subject and get points for his performance which will determine their rank among all the users. User can also take quiz for preparation before taking exams. Users can also request for a particular topic or a discussion.
ModelMine a tool to facilitate mining models from open source repositories pr...Sayed Mohsin Reza
The paper titled as ModelMine A Tool to Facilitate Mining Models from Open Source Repositories is presented by Sayed Mohsin Reza at ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS 2020) conference in Montreal Canada
Tool URL: https://www.smreza.com/projects/modelmine
Abstract:
Mining Software Repositories (MSR) has opened up new pathways and rich sources of data for research and practical purposes. This research discipline facilitates mining data from open source repositories and analyzing software defects, development activities, processes, patterns, and more. Contemporary mining tools are geared towards data extraction, analysis primarily from textual artifacts and have limitations in representation, ranking, and availability. This paper presents ModelMine, a novel mining tool that focuses on mining model-based artifacts and designs from open source repositories. ModelMine is designed particularly to mine software repositories, artifacts and commit history to uncover information about software designs and practices in open-source communities. ModelMine supports features that include identification and ranking of open source repositories based on the extent of the presence of model-based artifacts and querying repositories to extract models and design artifacts based on customizable criteria. It supports phase-by-phase caching of intermediate results to speed up the processing to enable efficient mining of data. We compare ModelMine against a state-of-the-art a tool named PyDriller in terms of performance and usability. The results show that ModelMine has the potential to become instrumental for cross-disciplinary research that combines modeling and design with repository mining and artifacts extraction.
The prime objective of “Online MCQ Quiz application” is to take quiz for any individuals through internet. Multiple choice questions (MCQ) will arrive for user with certain time limit for each quiz. “Online MCQ Quiz application” is an android app for making the competitive job exams easier. This app targets users who preparing for different kinds of government and non-government jobs like BCS (Bangladesh Civil Service), bank jobs etc. Users can read online and saved it for future offline reading. All the study materials are divided into chapters, topics, and subtopics and topic related. User can take exams on various subject and get points for his performance which will determine their rank among all the users. User can also take quiz for preparation before taking exams. Users can also request for a particular topic or a discussion.
ModelMine a tool to facilitate mining models from open source repositories pr...Sayed Mohsin Reza
The paper titled as ModelMine A Tool to Facilitate Mining Models from Open Source Repositories is presented by Sayed Mohsin Reza at ACM / IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS 2020) conference in Montreal Canada
Tool URL: https://www.smreza.com/projects/modelmine
Abstract:
Mining Software Repositories (MSR) has opened up new pathways and rich sources of data for research and practical purposes. This research discipline facilitates mining data from open source repositories and analyzing software defects, development activities, processes, patterns, and more. Contemporary mining tools are geared towards data extraction, analysis primarily from textual artifacts and have limitations in representation, ranking, and availability. This paper presents ModelMine, a novel mining tool that focuses on mining model-based artifacts and designs from open source repositories. ModelMine is designed particularly to mine software repositories, artifacts and commit history to uncover information about software designs and practices in open-source communities. ModelMine supports features that include identification and ranking of open source repositories based on the extent of the presence of model-based artifacts and querying repositories to extract models and design artifacts based on customizable criteria. It supports phase-by-phase caching of intermediate results to speed up the processing to enable efficient mining of data. We compare ModelMine against a state-of-the-art a tool named PyDriller in terms of performance and usability. The results show that ModelMine has the potential to become instrumental for cross-disciplinary research that combines modeling and design with repository mining and artifacts extraction.
Taming Complexity: On Studying the Application of Model-Driven Engineering to...Florian Rademacher
Microservice Architecture (MSA) is an approach to the realization of software architectures that aims to foster scalability, maintainability, and robustness. To this end, MSA proposes architecture decomposition into microservices, i.e., software components that (i) provide distinct capabilities; (ii) are as independent as possible from other components; and (iii) are solely responsible for their interactions with other components. However, when compared to monolithic software systems, the adoption of MSA usually results in a significant complexity increase concerning architecture design, development, and operation.
In our current line of research, we pursue the goal to mitigate this complexity by investigating the application of Model-driven Engineering (MDE) to MSA engineering and introducing supportive abstractions to certain activities of the latter. In our webinar talk, we will (i) motivate our research on MDE for MSA; (ii) present an ecosystem of modeling languages, which aims to enable stakeholders in MSA engineering to express their specific concerns towards a microservice architecture in a concise and efficient manner; (iii) demonstrate the ecosystem’s practical applicability; and (iv) summarize the most recent insights from our ongoing research. In addition, we will give an outlook on potential future research activities, including both the reconstruction and collaborative specification of microservice architectures in a model-driven fashion.
Social Web: (Big) Data Mining | summer 2014/2015 course syllabusJakub Ruzicka
Social Web: (Big) Data Mining | ISS FSV UK | Charles University in Prague | Faculty of Social Sciences | Institute of Sociological Studies | bachelor’s course | JSB454 | summer semester 2014/2015
Course Syllabus (version 1.1)
Introduction to Data Mining & Data Analysis | Data Science | Digital Humanities
Big Data | Types of Data | Data Formats | Information Retrieval | Business Intelligence | Law & Ethics of Data Mining
Introduction to Web Technologies for Non-Tech Students | Database Systems | Web Programming | Semantic Web | APIs
Graph Theory | Social Network Analysis | Statistical Procedures, Apps&Tools
Pseudocoding | Introduction to Programming in Python & data mining alternatives comparison | Data Exploration & Preprocessing
Web Scraping | Data Cleaning & Processing | Python Implementation &Libraries, Statistical Procedures, Apps &Tools
Social Media Mining | Data Cleaning & Processing | Python Implementation &Libraries, Statistical Procedures, Apps &Tools
Text Mining | Natural Language Processing | Python Implementation &Libraries, Statistical Procedures, Apps &Tools
Data Visualization | Data Storytelling | Electronic Publishing | Python Implementation & Libraries, Statistical Procedures, Apps & Tools
Student Webinars Week |Introducing Various Free &Open Source Data Mining Software &Apps
Machine Learning, Recommender Systems & OtherMoreAdvanced Topics | Large-ScaleDataSets| MapReduce, Hadoop, NoSQL
Course Review | Semestral Projects Consultation & Adjustments | The Remaining 99% of Data Science | Data Science Buzzwords
RDM Roadmap to the Future, or: Lords and Ladies of the DataRobin Rice
Story of the new 2017-2020 University of Edinburgh RDM Roadmap, with a Tolkienesque theme for IASSIST-CARTO 2018 in Montreal: "Once upon a data point: sustaining our data storytellers".
Computer science curriculum based on Program learning outcomes and objectivesJawad Khan
Designing curriculum of computer sciences and computer engineering on the bases of needs in the industry. Program learning objectives have been dealt in a case study in this presentation
Presentation on mechanical engineering for students interested in mechanical engineering. From the University of Brighton June open day at Moulsecoomb campus.
Taming Complexity: On Studying the Application of Model-Driven Engineering to...Florian Rademacher
Microservice Architecture (MSA) is an approach to the realization of software architectures that aims to foster scalability, maintainability, and robustness. To this end, MSA proposes architecture decomposition into microservices, i.e., software components that (i) provide distinct capabilities; (ii) are as independent as possible from other components; and (iii) are solely responsible for their interactions with other components. However, when compared to monolithic software systems, the adoption of MSA usually results in a significant complexity increase concerning architecture design, development, and operation.
In our current line of research, we pursue the goal to mitigate this complexity by investigating the application of Model-driven Engineering (MDE) to MSA engineering and introducing supportive abstractions to certain activities of the latter. In our webinar talk, we will (i) motivate our research on MDE for MSA; (ii) present an ecosystem of modeling languages, which aims to enable stakeholders in MSA engineering to express their specific concerns towards a microservice architecture in a concise and efficient manner; (iii) demonstrate the ecosystem’s practical applicability; and (iv) summarize the most recent insights from our ongoing research. In addition, we will give an outlook on potential future research activities, including both the reconstruction and collaborative specification of microservice architectures in a model-driven fashion.
Social Web: (Big) Data Mining | summer 2014/2015 course syllabusJakub Ruzicka
Social Web: (Big) Data Mining | ISS FSV UK | Charles University in Prague | Faculty of Social Sciences | Institute of Sociological Studies | bachelor’s course | JSB454 | summer semester 2014/2015
Course Syllabus (version 1.1)
Introduction to Data Mining & Data Analysis | Data Science | Digital Humanities
Big Data | Types of Data | Data Formats | Information Retrieval | Business Intelligence | Law & Ethics of Data Mining
Introduction to Web Technologies for Non-Tech Students | Database Systems | Web Programming | Semantic Web | APIs
Graph Theory | Social Network Analysis | Statistical Procedures, Apps&Tools
Pseudocoding | Introduction to Programming in Python & data mining alternatives comparison | Data Exploration & Preprocessing
Web Scraping | Data Cleaning & Processing | Python Implementation &Libraries, Statistical Procedures, Apps &Tools
Social Media Mining | Data Cleaning & Processing | Python Implementation &Libraries, Statistical Procedures, Apps &Tools
Text Mining | Natural Language Processing | Python Implementation &Libraries, Statistical Procedures, Apps &Tools
Data Visualization | Data Storytelling | Electronic Publishing | Python Implementation & Libraries, Statistical Procedures, Apps & Tools
Student Webinars Week |Introducing Various Free &Open Source Data Mining Software &Apps
Machine Learning, Recommender Systems & OtherMoreAdvanced Topics | Large-ScaleDataSets| MapReduce, Hadoop, NoSQL
Course Review | Semestral Projects Consultation & Adjustments | The Remaining 99% of Data Science | Data Science Buzzwords
RDM Roadmap to the Future, or: Lords and Ladies of the DataRobin Rice
Story of the new 2017-2020 University of Edinburgh RDM Roadmap, with a Tolkienesque theme for IASSIST-CARTO 2018 in Montreal: "Once upon a data point: sustaining our data storytellers".
Computer science curriculum based on Program learning outcomes and objectivesJawad Khan
Designing curriculum of computer sciences and computer engineering on the bases of needs in the industry. Program learning objectives have been dealt in a case study in this presentation
Presentation on mechanical engineering for students interested in mechanical engineering. From the University of Brighton June open day at Moulsecoomb campus.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
Selected Topics.pdf
1. Selected Topics
By
L. Mohamed Abdulrahman Abdulhamid
Computer Science Department
Second Semesters 4’th Level
20222023
2. Abstract of Selected Topics
• 3 credit hours a week.
• Prerequisites: A solid foundation in undergraduate computer science
and any prerequisites determined by the instructor.
• An in-depth investigation of one or more topics in computer science.
Topic(s) to be selected by the professor. Possible topics include search
techniques, for example, Data Science, Soft Computing, Big Data,
Expert Systems, Cybersecurity, Machine Learning and Deep Learning,
Knowledge Discovery in databases, design of embedded software
systems and so on.
4. Knowledge Area 1- User & Organizations
4- Software Development
3- System Architecture &
Infrastructure
2- System Modeling
5- Software Fundamentals
6- Hardware
6. Presentation & Reports
• Presentation
• 10 - 12 slides.
• Subject Title slide.
• Outline
• Introduction.
• Main Subject slides.
• Conclusion.
• References.
4 marks to report.
6 marks to presentation.
• Report
• 10 - 12 Pages.
• Subject Title Pages.
• Abstract.
• Introduction.
• Main Subject Pages.
• Conclusion.
• References.
7. Next Week Report
• OS Week
I. Linux OS.
II. Unix OS.
III. MacOS.
IV. IOS & watchOS.
• Programming Language Week
I. C++
II. Java
III. MATLAB
IV. Python
