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Approved Methods Courses

 

Approved Courses for Statistics Requirement

Course Code Course Title
COGS 243 Statistical Inference and data analysis
CSE 250A Principles of Artificial Intelligence: Probabilistic Reasoning and Learning
CSE 254 Statistical Learning
LIGN 251 Probabilistic Methods in Linguistics
MATH 181A Introduction to Mathematical statistics
MATH 181B Introduction to Mathematical statistics
MATH 181C Introduction to Mathematical statistics
MATH 181E Introduction to Mathematical statistics
MATH 281A/B/C Introduction to Mathematical statistics
MATH 282A/B Applied Statistics
MATH 283 Statistical methods in bioinformatics
MATH 285A/B Stochastic Processes
MATH 286 Stochastic Differential Equations
MATH 287B Multivariate analysis
MATH 289A/B Topics in Probability and statistics
PSYCH 201A/B/C Quantitative methods in psychology

 

Approved Courses for Programming Requirement

Course Code Course Title
COGS 219 Programming for Experimental Research
COGS 225 Visual Computing
COGS 225 Image Recognition
COGS 230 Human-Computer Interaction
COGS 252A Computer Vision I
CSE 253 Neural Networks for Pattern Recognition
PSYC  231 Experimentation and Data Analysis Using Matlab
ECE 272B Dynamical Systems under Uncertainty

As a reminder, when taking undergrad classes you must still enroll in 12 units of grad level classes to meet Graduate Division requirements.

 

Approved Courses for Methods Requirement (prior to FA19)

Course Code Course Title
BENG 207 Topics in Bioengineering
COGR 201B Ethnographic methods for communication research
COGR 201C Discourse analysis
COGS 219 Programming for Experimental Research
COGS 225 Visual Computing
COGS 230 Human-Computer Interaction
Cogs 260 Online Tech-Enhaned Teaching
COGS 260 Image Recognition - SP16
CSE 250A Probabilistic Reasoning & Learning
CSE 252A Computer Vision I
CSE 253 Neural Networks with Pattern Recognition
CSE 291 Topics in Computer Science and Engineering
LING 210 Phonetics
LING 211 Phonology
LING 240 Field Methods
LING 241 Field Work (sequel to LING 240)
PSYC 231 Experimentation and Data Analysis Using Matlab