AI Focus*
*Available to the following departments: Applied Math & Statistics, Economics, Linguistics, Neurobiology & Behavior, Political Science, Psychology, and Sociology.
A Focus in Artificial Intelligence |
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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. |
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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*
*Available to the following departments: Applied Math & Statitistics, Computer Science, Economics, Linguistics, Neurobiology & Behavior, Political Science, Psychology, and Sociology.
A Focus in Human-Centered Data Science |
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This focus will require 12 credits (four courses): two core DS/CS courses and two electives. *Requires Python knowledge ** Instructor Consent Required DS/CS Core: Both of the following
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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 |
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AFS 502: Research Methods in Africana Studies AFS 533: Race, Gender 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
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NEU 537: Neurotransmission and Neuromodulation NEU 547: Introduction to Neural Computation POL 633: Social Influence and Group Processes in Political Decision Making POL 676: Advanced Topics: Methods I PSY 507: Meta Analysis PSY 513: Theories of Attention PSY 520: Psycholinguistics PSY 549: Prejudice and Discrimination PSY 620: Bayesian Analysis SOC 504: Logic and Practice of Sociology SOC 556: Political Sociology SOC 561: Cultural Sociology
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In addition to the 12-credits, all students enrolled in the HCDS Focus will have to complete the online Citi Training Module, "Human Research," (for 0 credits; students will receive a certificate of completion to document this requirement). https://www.citiprogram.org/