Recent courses

• CSE 250A. Principles of AI: Probabilistic Reasoning and Decision-Making
  Fall Quarter 2009
  (4 units)

  An introductory graduate (or advanced undergraduate) course on probabilistic methods for reasoning and decision-making under uncertainty. Inference and learning in probabilistic graphical models; prediction and planning in Markov decision processes; applications to vision, robotics, speech, and natural language processing.

• CSE 150. Introduction to AI: Probabilistic Reasoning and Decision-Making
  Spring Quarter 2009
  (4 units)

  An introductory undergraduate course on probabilistic methods for reasoning and decision-making under uncertainty. Inference and learning in probabilistic graphical models; prediction and planning in Markov decision processes; applications to vision, robotics, speech, and natural language processing.

• CSE 290. Scientific Writing
  Spring Quarter 2009
  (2 units)

  A course to develop writing skills for work in artificial intelligence, machine learning, and related areas of computer science.

• CSE 291B. Unsupervised Learning
  Winter Quarter 2009
  (2 or 4 units)

  A graduate course on classical and modern methods for high dimensional data analysis. Main topics: probabilistic generative models of high dimensional data; spectral methods for dimensionality reduction.

• CSE 259. AI Lunch Seminar
  Winter Quarter 2009
  (1 unit)

  Talks by students and professors at UCSD in AI and related areas. Pizza served.

Some of my favorite teaching quotes are here.

Back to my home page.