2024-25:summer
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2024-25:summer [2024/04/10 17:52] – baljko | 2024-25:summer [2024/04/15 23:32] – [Designing Privacy-preserving Virtual Reality Systems] baljko | ||
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- | stay tuned | + | ====== Proposed Projects for Summer 2024 ====== |
- | Course | + | |
- | Course | + | Faculty members, please use the following form to submit project descriptions for this page: [[https:// |
+ | |||
+ | Summer term: May 6-August 6, with final presentations during August 8-15 approximately | ||
+ | |||
+ | This listing is being updated until the start of the summer term. | ||
+ | |||
+ | ---- | ||
+ | |||
+ | |||
+ | ==== Designing Privacy-preserving Systems ==== | ||
+ | **[added 2024-04-15]** | ||
+ | |||
+ | **Course:** EECS4080 or EECS4480 | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | **Supervisor' | ||
+ | |||
+ | **Project Description: | ||
+ | Modern sociotechnical systems share and collect vast amounts of information. These systems violate users’ privacy by ignoring the context in which the information is shared and failing to incorporate contextual information norms. | ||
+ | |||
+ | Using techniques in natural language processing, machine learning, network, and data analysis, this project is set to explore the privacy implications of mobile apps, online platforms, and other systems in different social contexts/ | ||
+ | |||
+ | To tackle this challenge, the project will operationalize a cutting-edge privacy theory and methodologies to conduct an analysis of existing technologies and design privacy-enhancing tools. | ||
+ | |||
+ | Students will help analyze information handling practices of online services and design privacy-enhancing tools. | ||
+ | |||
+ | Specific tasks include: comprehensive literature review of existing methodologies and tools, analysis of privacy policies and regulations, | ||
+ | |||
+ | For prior project, see [[https:// | ||
+ | |||
+ | **Required skills or prerequisites: | ||
+ | Good programming and data analysis skills overall, and experience in using Jupyter and/or R for data analysis. Ability to work independently. | ||
+ | Interest in usable privacy, critical analysis of privacy policies and privacy related regulation. | ||
+ | |||
+ | **Recommended skills or prerequisites: | ||
+ | Experience with Machine Learning, Natural Language Processing techniques, HCI design. | ||
+ | Students with diverse backgrounds, | ||
+ | |||
+ | **Instructions: | ||
+ | Please fill in [[https:// | ||
+ | |||
+ | ---- | ||
+ | ==== Designing Privacy-preserving | ||
+ | |||
+ | **[added 2024-04-15]** | ||
+ | |||
+ | **Course: | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | **Supervisor' | ||
+ | |||
+ | **Project Description: | ||
+ | Designing a privacy-preserving VR experience requires adhering to contextual integrity of users’ data . This involves accounting for different modes of interaction and ensuring robustness to accommodate the evolving privacy norms associated with future VR adaptations. | ||
+ | |||
+ | To tackle this challenge, the project will operationalize a cutting-edge privacy theory and methodologies to develop mechanisms | ||
+ | |||
+ | Students will help analyze information handling practices of VR applications and design tools to enhance privacy of VR users. | ||
+ | |||
+ | Specific tasks include conducting a comprehensive literature review of existing methodologies and tools, performing a dynamic analysis of data practices in VR applications, | ||
+ | |||
+ | For reference, see these papers: | ||
+ | * https:// | ||
+ | *https:// | ||
+ | |||
+ | **Required skills or prerequisites: | ||
+ | * Good programming skills | ||
+ | * | ||
+ | * | ||
+ | |||
+ | **Recommended skills or prerequisites:** | ||
+ | | ||
+ | * | ||
+ | |||
+ | |||
+ | |||
+ | ---- | ||
+ | ==== Mnemonic-Based Serious Games ==== | ||
+ | |||
+ | **[added 2024-04-15]** | ||
+ | |||
+ | **Course:** EECS4080 | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | **Supervisor' | ||
+ | |||
+ | **Project Description: | ||
+ | Many courses in Social Science, Health Science, and Computer Science that require memorization are becoming more and more challenging for many college and university students, especially with the ever-increasing volume of textbooks and course materials due to the growing body of knowledge. In courses, such as psychology, biology, and Human-Computer Interaction | ||
+ | |||
+ | Duties and Responsibilities: Requirements gathering and analysis, prototyping, | ||
+ | |||
+ | **Required skills or prerequisites: | ||
+ | * Prototyping with tools such as Figma and programming on the mobile platform (e.g., Android, cross-platform). | ||
+ | * Software Engineering; | ||
+ | * Ability to work independently as well as in a team. | ||
+ | |||
+ | **Instructions: | ||
+ | |||
+ | Contact professor at email above. | ||
+ | |||
+ | ---- | ||
+ | ==== Strengthening the Security of Autograders ==== | ||
+ | |||
+ | **[revised 2024-03-15, added 2024-04-11]** | ||
+ | |||
+ | **Course: | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | **Supervisor' | ||
+ | |||
+ | **Project Description: | ||
+ | Unit testing platforms like Java's JUnit and Python' | ||
+ | |||
+ | For this project you will strengthen the security of an autograder process for either **C,** Python or Java code for the PrairieLearn platform. You will start by creating possible attack vectors in the form of code that is expected to cause the autograder to pass a test without actually returning the expected results. Examples of attack vectors include code that saves or outputs well-formatted values that are interpreted by the autograder as a success, code that is able to identify secret information from the autograder code, and/or code that crashes the original autograder process. Then you will implement safeguards that ensure student-submitted code is unable to bypass container sandbox limitations, | ||
+ | |||
+ | You will work in coordination with the supervisor and the PrairieLearn developer community to brainstorm possible strategies and guidelines. Your final deliverable will be a pull request to the PrairieLearn codebase with the proposed fix. | ||
+ | |||
+ | **Required skills or prerequisites: | ||
+ | * To work on autograder for Python code, you must have completed EECS 1015 (or a similar course) with an A/A+. Must have solid programming skills in Python, including the use of unit testing. | ||
+ | * To work on autograder for Java code, you must have completed EECS2030 (or a similar course) with an A/A+. Must have solid programming skills in Java, including the use of unit testing | ||
+ | * **To work on autograder for C code, you must have completed EECS 2031 (or a similar course) with an A/A+. Must have solid programming skills in C, preferably including the use of unit testing (though experience with unit testing in other languages is acceptable).** | ||
+ | * Must be able to work independently and have good communication skills. | ||
+ | |||
+ | **Recommended skills or prerequisites: | ||
+ | EECS 3221 is highly recommended. Experience with Docker containers is helpful but can be obtained during the project. Git experience is helpful. Experience with open source software development is an asset. | ||
+ | |||
+ | **Instructions: | ||
+ | Additional information about PrairieLearn can be found here: https:// | ||
+ | ---- | ||
+ | ==== Chat Bots in LMS for Easy Course Navigation ==== | ||
+ | |||
+ | **[added 2024-04-11]** | ||
+ | |||
+ | **Course: | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | **Supervisor' | ||
+ | |||
+ | **Project Description: | ||
+ | The aim of this project is to enhance the course navigation experience for students by providing them with an interactive and intuitive interface that can assist with accessing course materials, finding relevant information, | ||
+ | |||
+ | The main objectives of this project are as follows: | ||
+ | - Develop a chat bot capable of understanding natural language queries and responses. | ||
+ | - Integrate the chat bot into the existing LMS platform used by our institution. | ||
+ | - Implement functionality for students to interact with the chat bot to access course materials, find information about courses, assignments, | ||
+ | - Provide personalized recommendations to students based on their preferences, | ||
+ | - Ensure the chat bot is responsive, reliable, and efficient in handling concurrent user requests. | ||
+ | - Design a user-friendly interface for both desktop and mobile devices. | ||
+ | |||
+ | **Required skills or prerequisites: | ||
+ | - Expertise in Development tools and IDEs (e.g., Python, NLP libraries, web development frameworks) | ||
+ | - Understanding of existing LMS platform and its database structure | ||
+ | - Knowledge of Hardware and software infrastructure for hosting and deploying the chat bot system | ||
+ | - Knowledge of Web Development: | ||
+ | * HTML/CSS: Knowledge of HTML and CSS is essential for designing the user interface of the chatbot within the LMS. | ||
+ | * JavaScript: JavaScript can be used to add interactivity and dynamic features to the chatbot interface. | ||
+ | |||
+ | **Recommended skills or prerequisites: | ||
+ | * Machine Learning (Optional): | ||
+ | * Database: | ||
+ | * User Authentication and Integration: | ||
+ | |||
+ | **Instructions: | ||
+ | Please send your c.v., transcript, and Statement of Interest in the project to the project supervisor. | ||
+ | |||
+ | ---- | ||
+ | ==== Autograders for C and Linux Programs in Undergraduate Courses ==== | ||
+ | |||
+ | **[added 2024-04-11]** | ||
+ | |||
+ | **Course: | ||
+ | |||
+ | **Supervisor: | ||
+ | |||
+ | **Supervisor' | ||
+ | |||
+ | **Project Description: | ||
+ | The objective of this project is to streamline the process of evaluating programming assignments by automating the grading process, providing timely feedback to students, and reducing the workload of instructors. | ||
+ | The main objectives of this project are as follows: | ||
+ | - Develop an autograding system capable of executing and evaluating C and Linux programs. | ||
+ | - Design a user-friendly interface for instructors to define test cases and grading criteria. | ||
+ | - Implement a secure and scalable infrastructure to handle multiple submissions and concurrent grading tasks. | ||
+ | - Provide detailed feedback and grading reports to students, highlighting areas of improvement and errors. | ||
+ | - Support various programming concepts and features, including file handling, system calls, and command-line utilities. | ||
+ | - Ensure the autograder system is reliable, efficient, and scalable to accommodate a large number of students and assignments. | ||
+ | |||
+ | Methodology: | ||
+ | - Conduct a thorough analysis of the requirements and specifications for autograding C and Linux programs. | ||
+ | - Research and select appropriate tools, frameworks, and libraries for building the autograding system. | ||
+ | - Design and develop the autograder system, including the front-end interface for instructors and the back-end components for executing and evaluating programs. | ||
+ | - Implement a secure sandbox environment to run student programs safely and prevent malicious activities. | ||
+ | - Integrate tools and utilities for compiling, executing, and capturing program output and errors. | ||
+ | - Develop a grading engine that compares student outputs with expected outputs, considering various edge cases. | ||
+ | - Implement a user-friendly interface for instructors to define test cases, grading rubrics, and manage assignments. | ||
+ | - Test and evaluate the autograder system' | ||
+ | - Document the development process, including system architecture, | ||
+ | |||
+ | **Required skills or prerequisites: | ||
+ | Tech stack for this project: | ||
+ | - Programming Languages: | ||
+ | * C: As the project involves autograding C programs, a strong understanding of the C programming language is necessary. | ||
+ | * Python: Python can be used for developing the autograder system, as it offers a wide range of libraries and frameworks for web development, | ||
+ | - Web Development: | ||
+ | * HTML/CSS: Knowledge of HTML and CSS is essential for designing the user interface of the autograder system. | ||
+ | * JavaScript: JavaScript can be used to add interactivity and dynamic functionality to the web-based interface. | ||
+ | - System Execution and Grading: | ||
+ | * Linux Environment: | ||
+ | * Bash scripting: Bash scripting can be used to automate the execution of student programs, capture output, and evaluate correctness based on defined test cases. | ||
+ | |||
+ | **Recommended skills or prerequisites: | ||
+ | - Frameworks and Libraries: | ||
+ | * Flask or Django: These Python web frameworks can be used to build the back-end of the autograder system, handle requests, and manage the database. | ||
+ | * Bootstrap: Bootstrap is a popular front-end framework that provides pre-built UI components and responsive design features, making it easier to create a user-friendly interface. | ||
+ | - Database: | ||
+ | * SQLite or PostgreSQL: These relational database management systems (RDBMS) can be used to store and manage data related to students, assignments, | ||
+ | |||
+ | **Instructions: | ||
+ | Please send your c.v., transcript, and Statement of Interest in the project to the project supervisor | ||
+ |
2024-25/summer.txt · Last modified: 2024/04/16 00:31 by baljko