These course listings are prepared daily (more frequently during the first week of the quarter) from the course offerings database. Room assignments are subject to change.
Please check assignments periodically for the latest changes.
Subject / Course - Section | Title | Units | Instructor | Day & Time | Section Desc | Activity Name | Activity Desc | Total Enroll. | Enroll. Limit | Bldg & Room | Room Cap. | Idents | Course Materials Vendor |
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TTIC / 31090 - 01 | Signals, Systems and Random Processes | 100 | Livescu Karen | TR 1:30PM- 2:50PM |
Lecture | 5 | 36 | TTI-526 | 35 | ||||||||||||||
PQ: Assumes familiarity with basic linear algebra, notions of eigenvalues and eigenvectors, and (multivariate) Gaussian distributions. | |||||||||||||||||||||||
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TTIC / 31120 - 01 | Statistical & Computational Learning Theory | 100 | Srebro Nathan | MWF 10:00AM- 10:50AM |
Lecture | 7 | 36 | TTI-530 | 35 | ||||||||||||||
PQ: Discrete Math (combinatorics, asymptotic notation,) Probability Theory Introduction to Machine Learning Algorithms; Basic Complexity Theory (NP-Hardness.) Familiar w/ Convex Optimization, Computational Complexity, Statistics. | |||||||||||||||||||||||
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TTIC / 31170 - 01 | Planning, Learning, and Estimation for Robotics and Artificial Intelligence | 100 | Walter Matthew | TR 10:30AM- 11:50AM |
Lecture | 4 | 36 | TTI-526 | 35 | ||||||||||||||
Reading & Research Faculty Listing
End of TTIC listing.