MSc:Syllabi Table
Revision as of 11:38, 16 August 2021 by 10.90.136.11 (talk)
Overview of the MS Program
MSc The detailed description of the program can be found here.
| Year 1, Fall Semester | ||||
|---|---|---|---|---|
| DS | R | SNE | MSIT-SE | |
| Empirical Methods | Yes | No | No | Yes |
| MSD | No | No | No | Yes |
| Machine Learning | Yes | Yes | No | No |
| Requirements Engineering | No | No | No | Yes |
| Big Data Technologies and Analytics | Yes | No | No | No |
| Advanced networking | No | No | Yes | No |
| Software Design with Python | Yes | Yes | No | No |
| Classical internet applications | No | No | Yes | No |
| Security of systems and networks | No | No | Yes | No |
| Internetworking and routing | No | No | Yes | No |
| Research Project (SNE) | No | No | Yes | No |
| Sensing, perception, and actuation | No | Yes | No | No |
| Fundamental of Robot Control | No | Yes | No | No |
| Dynamics of non linear robotic systems | No | Yes | No | No |
| PSP | No | No | No | Yes |
| Humanitarian Elective 1 | Yes | No | Yes | No |
| Year 1, Spring Semester | ||||
| DS | R | SNE | MSIT-SE | |
| Advanced Statistics | Yes | No | No | No |
| Advanced Machine Learning | Yes | No | No | No |
| Advanced Information Retrieval | Yes | No | No | No |
| Large Systems | No | No | Yes | No |
| Cyber-crime and forensics | No | No | Yes | No |
| Offensive Technologies | No | No | Yes | No |
| High-dimensional data analysis (HDDA) | Yes | No | No | No |
| Advanced Security | No | No | Yes | No |
| Industrial Project (SNE) | No | No | Yes | No |
| Computer Vision | No | Yes | No | No |
| Computational Intelligence | No | Yes | No | No |
| Advanced Robotics | No | Yes | No | No |
| Project (R) | No | Yes | No | No |
| MSS | No | No | No | Yes |
| ASA | No | No | No | Yes |
| ASS | No | No | No | Yes |
| Communication | No | No | No | Yes |
| Ind. project 1 (MSIT-SE) | No | No | No | Yes |
| Systematic Literature Review for Data Science & Robotics | Yes | Yes | No | No |
| Humanitarian Elective 2 | No | No | Yes | No |
| Technical Elective 1 | No | No | No | No |
| Year 2, Fall Semester | ||||
| DS | R | SNE | MSIT-SE | |
| Machine Learning (From Y1 of MS-DS-R before) | No | No | Yes | Yes |
| Optimization | Yes | Yes | No | No |
| Managing Software Development | Yes | No | No | No |
| Master Practicum Project | Yes | Yes | No | No |
| Technical Elective 4 | Yes | Yes | Yes | Yes |
| Technical Elective 5 | No | No | Yes | Yes |
| Humanitarian Elective 3 | No | Yes | No | No |
| Year 2, Spring Semester | ||||
| DS | R | SNE | MSIT-SE | |
| Master Practicum Project | Yes | Yes | No | No |
| Thesis Final Defense | Yes | Yes | Yes | Yes |
| High-dimensional data analysis (HDDA) | Yes | No | No | No |
| Technical Elective 6 | No | Yes | Yes | Yes |
| Technical Elective 7 | No | No | No | Yes |
| Humanitarian Elective 3 | Yes | Yes | Yes | No |