Required courses: IRKM graduate students must take the following courses (each course could be replaced with a similar course after discussion with your advisor)
AMS206 Bayesian Statistics
CMPE242 Machine Learning
CMPE201 Analysis of Algorithms
CSE260 Information Retrieval
CSE243 Data Mining
Recommended courses
Bayesian Decision Theory
Optimization
ML for NLP
Technical Writing
Bayesian Nonparametric Methods
Other courses in NLP: https://courses.soe.ucsc.edu/courses/nlp
Other courses in AMS: http://www.soe.ucsc.edu/programs/ams/courses.php
You can also take courses in other UC Campues if needed. Please discuss with Yi about this.
Also, please learn outside your classroom at
Mathematics for Engineers
Recommended readings:
How to be a Good Graduate Student / Advisor?
Hammin on You and Your Research
Giving a talk 2
Writing Technical Articles Writing CS papers
Recommended readings for IR students