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AI Focus 


A Focus in Artificial Intelligence
This focus requires 12 credits (four courses), at least one of which must be CSE 512: Machine Learning or CSE 537: Artificial Intelligence. The remaining courses can be chosen from the list below. Please note: an elementary knowledge of programming is preferred. 
CSE 505: Computing with Logic
CSE 512: Machine Learning
CSE 519: Data Science Fundamentals
CSE 525: Robotics
CSE 527: Computer Vision
CSE 537: Artificial Intelligence
CSE 538: Natural Language Processing

CSE 544: Probability and Statistics for Data Scientists
CSE 545: Big Data Analytics
CSE 564: Visualization

Students without formal preparation in Computer Science may count up to two of the following graduate-level preparatory ("bridge") courses toward the focus, and should consult with the admission committee before taking the other graduate CS courses. 

CSE 581, Computer Science Fundamentals: Theory  

CSE 582, Computer Science Fundamentals: Data Structures and Algorithms

CSE 583, Computer Science Fundamentals: Programming Abstractions

HCDS Focus


 

A Focus in Human-Centered Data Science 

This focus will require 12 credits (four courses): two core DS/CS courses and two electives.

*Requires Python knowledge

DS/CS Core: Both of the following

  • Algorithms: CSE 582: Computer Science Fundamentals: Data Structures and Algorithms
      •  Alternative: AMS 542 / CSE 548: Analysis of Algorithms
  • Machine Learning: AMS 580: Statistical Learning
      • Alternative: *AMS 520: Machine Learning in Quantitative Finance or CSE 512: Machine Learning

Two electives chosen from the courses below. At least one must be outside of the student's home department and not cross-listed. Note that courses outside of the home department require permission of the instructor. Admission to this focus does not guarantee instructor approval.

Courses outside this list may be used to satisfy the electives requirement with prior permission of this focus program’s director.

*Requires Python knowledge

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) 

ECO 522: Applied Econometrics

ECO 612: Computational Economics and Dynamic Modeling 

ECO 640: Labor Economics I

ISE 503: Data Management (AMS and CS students require approval) 

LIN 521: Syntax I           

LIN 523: Phonology I 

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 626: Social Networks

POL 632: Mass Communication and Political Persuasion

POL 633: Social Influence and Group Processes in Political Decision Making

PSY 507: Meta Analysis 

PSY 513: Theories of Attention

PSY 516: Judgment & Decision Making 

PSY 520: Psycholinguistics

PSY 549: Prejudice and Discrimination

PSY 620: Bayesian Analysis

SOC 504: Logic and Practice of Sociology

SOC 509: The Practice of Ethnography

SOC 516: Sociology of Inequality

SOC 518: Sociology of Gender

SOC 556: Political Sociology

SOC 561: Cultural Sociology