ISTA 410/510: Bayesian Modeling and Inference (Spring, 2015)
Time and Place
1:30-2:45, Monday and Wednesday, Gould-Simpson, room 906
Office: Gould-Simpson 927A
(Follow link to get times and instructions.)
Email: kobus @ sista.arizona.edu    (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.
(Textbook, outline, grading, policies, etc).
All other course information and materials is in D2L.