ISTA 410/510: Bayesian Modeling and Inference (Spring, 2012)

Late breaking news on using ISTA 510 for CS grad requirements.

Computer Science is working on a potentially new structuring of their core and elective courses. During transition, it is possible to use ISTA 510 as an elective on the approval of your major advisor. If you would like to consider ISTA 510 as a core class, you can request approval from the Grad Affairs Committee. Please let me (Kobus) know if you plan to do this.

Time and Place

12:30-1:45, Tuesday and Thursday, Gould-Simpson Room 906

Instructor

Kobus Barnard

Office: Gould-Simpson 927A
Office Hours:     (Follow link to get times and instructions.)
Email: kobus @ sista.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).

Slides     (currently restricted to UA)

Assignments     (currently restricted to UA)

Schedule of due dates

Due
Approximate points
Assignment 1 Optional (no fixed due date)
N/A
Assignment 2 Friday, February 10
10(U) 10(G)
Assignment 3 Friday, February 24
8(U) 8(G)
Take home midterm 1 Sunday, March 18
10(U) 10(G)
Assignment 4 Tuesday, April 3
10(U) 10(G)
Assignment 5 Friday, April 20
9(U) 9(G)
Take home midterm 2 Saturday, April 28
10(U) 10(G)
Take home final Tuesday, May 8
20(U) 20(G)