ISTA 410/510: Bayesian Modeling and Inference (Spring, 2015)

Time and Place

1:30-2:45, Monday and Wednesday, Gould-Simpson, room 906


Kobus Barnard

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


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).

All other course information and materials is in D2L.