Recent courses

• CSE 291. Unsupervised Learning
  Spring Quarter 2012
  (4 units)

  An advanced graduate course on unsupervised learning and high dimensional data analysis. Topics include Gaussian mixture modeling, factor analysis, nonnegative matrix factorization, exponential family PCA, latent Dirichlet allocation, independent component analysis, spectral clustering, multidimensional scaling, and manifold learning.

• CSE 290. Scientific Writing
  Spring Quarter 2012
  (2 units)

  A course to develop writing skills for work in all areas of computer science.

• CSE 150. Introduction to AI: Probabilistic Reasoning and Decision-Making
  Winter Quarter 2012
  (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 250A. Principles of AI: Probabilistic Reasoning and Decision-Making
  Fall Quarter 2011
  (4 units)

  An introductory graduate 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 259. AI Lunch Seminar
  Fall Quarter 2010
  (1 unit)

  Talks in AI and related areas. Pizza served.

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