ISTA 410/510: Bayesian Modeling and Inference (Spring, 2011)

Time and Place

10:30-11:45, Monday and Wednesday, Gould-Simpson Room 906

Instructor

Kobus Barnard

Office: Gould-Simpson 927A
Office Hours:     (Follow link to get times and instructions.)
Email: kobus @ cs.arizona.edu    (remove blanks around the @)

Teaching Assistant

Kyle Simek
Office hours: Tuesday, Thursday 10:00am-11:00am in GS 927C
Email: ksimek @ email.arizona.edu    (remove blanks around the @)

Preparation

Many students will find this course intellectually demanding. The assignments will include both mathematical excercises and implementing computation in computer programs. The prerequisites listed in the syllabus amount to programming competence and comfort with basic calculus, linear algebra, and probability and statistics. If your background in any of these areas is weak (e.g., perhaps you studied the particular topic a long time ago), you will be responsible for compensating as needed.

Syllabus   (Textbook, outline, grading, policies, etc).

Lecture Archive     (currently restricted to UA)

Assignments     (currently restricted to UA)

Schedule of due dates