UVa Class Schedule - Schedule for CS 6501 - Spring 2024 (Unofficial, Lou's List)

UVa Class Schedules (Unofficial, Lou's List v2.10) New Features

Schedule for CS 6501 - Spring 2024

These data were not obtained from SIS in real time and may be slightly out of date.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

Class Schedules Index

Course Catalogs Index

Class Search Page

I continue to maintain this list of classes, now with UVA support! -- Lou Bloomfield, Professor Emeritus of Physics

Printer-Friendly Format Collapse All Expand All
Computer Science
CS 6501	Special Topics in Computer Science

	Software Logic
Spring 2024 15894	001	Lecture (3 Units)	Open	29 / 38	Kevin Sullivan	MoWe 11:00am - 12:15pm	Rice Hall 340
	Network Security and Privacy
Website 16434	002	Lecture (3 Units)	Open	53 / 65 (61 / 80)	Yixin Sun	MoWe 2:00pm - 3:15pm	Mechanical Engr Bldg 341
	Reinforcement Learning
Website 19394	003	Lecture (3 Units)	Open	25 / 38	Chen-Yu Wei	MoWe 9:30am - 10:45am	Rice Hall 340
	Natural Language Processing
Spring 2024 19398	005	Lecture (3 Units)	Open	47 / 60	Yu Meng	MoWe 3:30pm - 4:45pm	Mechanical Engr Bldg 339
	Computer Architecture: Hardware Accelerators
Website 16656	006	Lecture (3 Units)	Open	13 / 40 (18 / 50)	Kevin Skadron	TuTh 2:00pm - 3:15pm	Olsson Hall 011
	Responsible AI: Privacy, Fairness, and Robustness
	Responsible AI: Privacy, Fairness, and Robustness Seminar
Website 19399	007	Lecture (3 Units)	Open	30 / 38	Ferdinando Fioretto	MoWe 3:30pm - 4:45pm	Rice Hall 340
	Digital Signal Processing
Spring 2024 16722	008	Lecture (3 Units)	Open	12 / 20 (74 / 94)	Tom Fletcher	TuTh 11:00am - 12:15pm	Thornton Hall E316
	Advanced Embedded Computing Systems
Website 16744	009	Lecture (3 Units)	Open	8 / 12 (31 / 38)	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
Website 19400	010	Lecture (3 Units)	Open	27 / 38	Yanjun Qi	TuTh 9:30am - 10:45am	Rice Hall 340
	Modern Computing Architectures
Website 19401	011	Lecture (3 Units)	Open	12 / 38	Adwait Jog	TuTh 11:00am - 12:15pm	Rice Hall 340
	Learning in Robotics
Website 19402	012	Lecture (3 Units)	Open	33 / 38	Madhur Behl	TuTh 3:30pm - 4:45pm	Rice Hall 340
	Engineering Interactive Technologies
Website 20544	013	Lecture (3 Units)	Closed	20 / 20 (95 / 95)	Seongkook Heo	TuTh 3:30pm - 4:45pm	Thornton Hall E303
	Probabilistic Machine Learning
	Probabilistic Machine Learning
Website 20835	014	Lecture (3 Units)	Open	14 / 25 (31 / 50)	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.