Bridge Courses
CSE 581: Computer Science Fundamentals: Theory
CSE 582: Computer Science Fundamentals: Data Structures and Algorithms
CSE 583: Computer Science Fundamentals: Programming Abstractions
AI Focus Courses
Course Catalog
Trainee will choose 3 or more. *Denotes Bridge Courses. At most two Bridge Courses can count towards certificate.
CSE 519: Data Science Fundamentals
CSE 537: Artificial Intelligence
CSE 538: Natural Language Processing
CSE 544: Probability and Statistics for Data Scientists
*CSE 581: Computer Science Fundamentals: Theory
*CSE 582: Computer Science Fundamentals: Data Structures and Algorithms
*CSE 583: Computer Science Fundamentals: Programming Abstractions
HCDS Focus Courses
Course Catalog
Trainee must take two DS/CS core courses: *Requires Python programming background
- CSE 582: Computer Science Fundamentals: Data Structures and Algorithms
- (Alternative) AMS 542/CSE 548: Analysis of Algorithms
- (Alternative) AMS 561/DCS 521: Introduction to Computational and Data Science
and
- AMS 580: Statistical Learning
- (Alternative) *AMS 520: Machine Learning in Quantitative Finance
- (Alternative) CSE 512: Machine Learning
Trainee must choose 2; at least one must be outside of their home department and not cross-listed.
*Requires Python programming background
AFS 502: Research Methods in Africana Studies
AFS 533: Race, Gender and Globalization
AFS 536: Africa and Globalization
*CSE 564: Visualization (AMS and CS students require approval)
LIN 637: Computational Linguistics 2
NEU 534: Principles of Neurobiology
NEU 536: Introduction to Computational Neuroscience
NEU 537: Neurotransmission and Neuromodulation
NEU 547: Introduction to Neural Computation
POL 632: Mass Communication & Political Persuasion
POL 633: Social Influence and Group Processes in Political Decision Making
PSY 513: Theories of Attention
PSY 516: Judgment & Decision Making
PSY 549: Prejudice and Discrimination
SOC 504: Logic and Practice of Sociology
SOC 509: The Practice of Ethnography
SOC 516: Sociology of Inequality