The following are some courses being offered that are at least vaguely related to
Data Science.
Please let us know of others that we should list here.
These are "topics" courses that are not taught regularly or listed with a fixed syllabus
in the catalog. These are excellent opportunities to take a cuttingedge course.
 Evolutionary Algorithms Jon Herman
 Topology of Data, Mimi Tsuruga
 Modern tools for data collection, management and analysis, Damien Caillaud
Winter 2016
 MAT 271: Applied and Computational Harmonic Analysis, Prof. Naoki Saito
 STA250: Numerical Optimization, Prof. Cho Hsieh
 ECS170: Artificial Intelligene, Prof. Ian Davidson
 ECS230: Applied Numerical Linear Algebra, Prof. Gygi
 ECS271: Machine Learning, Prof. Ian Davidson
 ECS165A: Database Systems, Nitta
 ECS163: Information Interfaces, KwanLiu Ma
 ECS188: Ethics and Information Age
 ECS256: Probabilistic Modeling, Prof. Norm
Matloff
 MAT128B: Numerical Analysis, Prof. Cheer
 MAT226B: Matrix Computations, Prof. Freund
 MAT235B: Probability Theory, Prof. Soshnikov
 PHY256: Physics of Information and Computation, Prof. Jim Crutchfield

 http://csc.ucdavis.edu/~chaos/courses/ncaso/
 Information processing in nonequilibrium thermodynamic systems (greatly extended this year)
 Information processing in quantum dynamical systems (new this year)
 Flipped format: Lectures and interactive labs online, meeting times used for problem solving.
 Winner of SIAM First Prize in Teaching Dynamical Systems
Spring 2016
 ECS188: Ethics and Information Age
 ECS231: Large Scale Scientific Computing, Prof. Bai
 ECS253: Network Theory, Prof. D'Souza
Fall 2015

 BIM289C  Special Topics in Computational Bioengineering: Genomic Big Data Analysis, taught
by Sharon Aviran


 STA141  Statistical Computing with R, taught by Duncan Temple Lang


 ECS171  Machine Learning, Prof. Ilias Tagkopoulos


Other Quarters
Winter 2015
Topics in Convex Optimization
Spring 2015
274. Internet Measurements, Modeling and Analysis (4)
Fall 2014

 STA 141  An Introduction to Statistical Computing


 CS 171  Machine Learning


 STA 138 Categorical Data Analysis


 CS 132 Probabilistic and Statistical Modeling


 CS 145 Scripting Languages


 CS 165 Database Systems


 CS 175 Computer Graphics


 CS 275A Advanced Computer Graphics


 CS 279 Computer Animation

Other Quarters
MAT167  Applied Linear Algebra
MAT168  Optimization
MAT271  Applied and Computational Harmonic Analysis
MAT 280 topics courses have covered: Compressed Sensing, Harmonic Analysis on Graphs and Networks
MAT 258A  Numerical Optimization (to be taught again Fall 2015)
MAT 258B  Discrete and Mixed Integer Optimization
(to be taught again
Winter 2016)
MATH 160 Introduction to Analytics
MATH 189 Capstone Analytics Project
STA242  Graduate Level introduction to Statistical Computing
Richard McElreath's course named Statistical Rethining.
CS 158  Programming on Parallel Architectures
CS 230 Applied Numerical Linear Algebra
CS 275B Advanced Computer Graphics
STA 208  Statistical and Machine Learning Topics
ECS 116  Databases for nonMajors
Data Science @ UC Davis
<datascience@ucdavis.edu>
Last modified: Fri Nov 7 18:36:29 PST 2014