These data were not obtained from SIS in real time and may be slightly out of date. MouseOver the enrollment to see Last Update Time
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| Computer Science |
 CS 6501 Special Topics in Computer Science |
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| | Software Logic |
| 15894 | 001 | Lecture (3) | Open | 29 / 38 | Kevin Sullivan | MoWe 11:00am - 12:15pm | Rice Hall 340 |
| | Network Security and Privacy |
| 16434 | 002 | Lecture (3) | Open | 53 / 65 | Yixin Sun | MoWe 2:00pm - 3:15pm | Mechanical Engr Bldg 341 |
| | Reinforcement Learning |
| 19394 | 003 | Lecture (3) | Open | 25 / 38 | Chen-Yu Wei | MoWe 9:30am - 10:45am | Rice Hall 340 |
| | Natural Language Processing |
| 19398 | 005 | Lecture (3) | Open | 47 / 60 | Yu Meng | MoWe 3:30pm - 4:45pm | Mechanical Engr Bldg 339 |
| | Computer Architecture: Hardware Accelerators |
| 16656 | 006 | Lecture (3) | Open | 13 / 40 | Kevin Skadron | TuTh 2:00pm - 3:15pm | Olsson Hall 011 |
| | Responsible AI: Privacy, Fairness, and Robustness |
| | Responsible AI: Privacy, Fairness, and Robustness Seminar |
| 19399 | 007 | Lecture (3) | Open | 30 / 38 | Ferdinando Fioretto | MoWe 3:30pm - 4:45pm | Rice Hall 340 |
| | Digital Signal Processing |
| 16722 | 008 | Lecture (3) | Open | 12 / 20 | Tom Fletcher | TuTh 11:00am - 12:15pm | Thornton Hall E316 |
| | Advanced Embedded Computing Systems |
| 16744 | 009 | Lecture (3) | Open | 8 / 12 | Homa Alemzadeh | MoWe 2:00pm - 3:15pm | Rice Hall 340 |
| | This course provides the foundational knowledge and hands-on experience in design and validation of embedded computing systems, with a focus on embedded C programming and real-time operating systems for ARM® Cortex-M Microcontrollers. Topics include: embedded system architectures, hardware software interfacing, memory management, multitasking, interrupt handling, and real-time scheduling. |
| | Risks and Benefits of Generative AI and LLMs |
| 19400 | 010 | Lecture (3) | Open | 27 / 38 | Yanjun Qi | TuTh 9:30am - 10:45am | Rice Hall 340 |
| | Modern Computing Architectures |
| 19401 | 011 | Lecture (3) | Open | 12 / 38 | Adwait Jog | TuTh 11:00am - 12:15pm | Rice Hall 340 |
| | Learning in Robotics |
| 19402 | 012 | Lecture (3) | Open | 33 / 38 | Madhur Behl | TuTh 3:30pm - 4:45pm | Rice Hall 340 |
| | Engineering Interactive Technologies |
| 20544 | 013 | Lecture (3) | Closed | 20 / 20 | Seongkook Heo | TuTh 3:30pm - 4:45pm | Thornton Hall E303 |
| | Probabilistic Machine Learning |
| | Probabilistic Machine Learning |
| 20835 | 014 | Lecture (3) | Open | 14 / 25 | Farzad Farnoud | TuTh 2:00pm - 3:15pm | Mechanical Engr Bldg 339 |
| | The course both covers fundamental concepts in statistics and estimation (e.g., frequentist and Bayesian estimation, properties of estimators, and the bias-variance trade-off) and provides a rigorous treatment of machine learning topics from a probabilistic perspective (including regression, classification, clustering, graphical models, Markov models, variational inference, and MCMCs). Fluency in basic probability and familiarity with linear algebra are prerequisites. Please visit the website (to be updated) for more information. |
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