This site uses cookies. By continuing to use this site, closing this banner, or clicking "I Agree", you agree to the use of cookies.
Read our cookies policy and privacy statement for more information.
Stand with UkraineDonate
- Home
- California
- University of California-Davis
- Course info
- sta-243 - computational-statistics
University of California-Davis Course Info
Davis, California•
10 reviews
Course Info
Search for courses by clicking on letters of the alphabet or by using a search bar. Explore course description, number of credits required and course sequences to satisfy graduation requirements.
STA 243
Computational Statistics
Numerical analysis; random number generation; computer experiments and resampling techniques (bootstrap, cross-validation); numerical optimization; matrix decompositions and linear algebra computations; algorithms (Markov chain monte carlo, expectation-maximization); algorithm design and efficiency; parallel and distributed computing.
Units: 4.0
Hours: Lecture—3 hour(s); Laboratory—1 hour(s).
Prerequisites:
MAT 167 - Applied Linear Algebra
or
MAT 067 - Modern Linear Algebra
and
STA 130B - Mathematical Statistics: Brief Course
and
STA 130A - Mathematical Statistics: Brief Course