Curriculum

2025-2026 Course Listings

Programming Foundations (1 credit)

Course	Course Title	Fall 2025	Winter 2026	Spring 2026
COMP_SCI 150	Fundamentals of Computer Programming 1.5	MWF 12:00-12:50 (2 sections) Geisler	TBD	TBD

Statistics Foundations (1 credit)

Course	Course Title	Fall 2025	Winter 2026	Spring 2026
BMD_ENG 220	Introduction to Biomedical Statistics	MWF 9:00-9:50 (Discussion: T 2:30, 3:30) Olds
CHEM_ENG 312	Probability and Statistics for Chemical Engineering		TBD
CIV_ENV 306	Uncertainty Analysis	MWF 12:00-12:50 (Discussion: T 12:30-1:20) Chen
IEMS 201	Introduction to Statistics	TTh 9:30-10:50 Ankenman
IEMS 303	Statistics	TTh 9:30AM - 10:50AM Chan (Lab: W 1:00, 2:00)	TBD	TBD

Specialization (4 credits)

Course	Course Title	Fall 2025	Winter 2026	Spring 2026
DATA ENG 200	Foundations of Data Science		TTh 9:30-10:50 Hu	TTh 12:30-1:50 Chan
DATA ENG 300	Data Engineering Studio		TTh 12:30-1:50 Chan (Lab: T 5:00, 6:00)	TTh 9:30-10:50 Chan (Lab: T 5:00, 6:00)
COMP_SCI 111	Fundamentals of Computer Programming I	MWF 1:00-1:50 or 2:00-2:50 Bain	TBD	TBD
COMP_SCI 214	Data Structures and Algorithms	11-12:20 TuTh (2 sections) St-Amour	TBD	TBD
COMP_SCI 217	Data Management and Information Processing		TBD	TBD
COMP_SCI 348	Intro to Artificial Intelligence	TTh 2:00-3:20 Birnbaum	TBD	TBD
COMP_SCI 349	Machine Learning	TTh 9:30 - 10:50 Wood-Doughty	TBD	TBD
IEMS 304	Statistical Learning for Data Analysis	MWF 2:00-2:50 Apley (Lab: Th 9:00, 10:00)	TBD	TBD

MLDS Electives (2 credits)

Course	Course Title	Fall 2025	Winter 2026 (TBD)	Spring 2026 (TBD)
BMD_ENG 311	Computational Genomics	TTh 9:30-10:50 Ji
BMD_ENG 312	Biomedical Applications in Machine Learning
BMD_ENG 313	Wearable Devices
CHEM_ENG 379	Computational Biology
CIV_ENV 304	Systems Analysis
CIV_ENV 374	Data Science for Urban Systems
CIV_ENV 377	Choice Modeling in Engineering
CIV_ENV 474	Data Analytics for Transportation and Urban Infrastructure Applications
CIV_ENV 480-1	Travel Demand Analysis and Forecasting 1
COMP_SCI 332	Online Markets	MW 9:30-10:50 Hartline
COMP_SCI 333	Interactive Information Visualization	MW 3:30-4:50 Hullman
COMP_SCI 353	Natural & Artificial Vision	TTh 11-12:20 Alexander
COMP_SCI 374	Causal Graphical Models
COMP_SCI 392	Rapid Prototyping for Software Innovation	MWF 3-3:50 Riesbeck
COMP_SCI 394	Agile Software Development
COMP_SCI 396	Computing, Ethics, and Society
COMP_SCI 397	Seminar in Statistical Language Modeling
COMP_SCI 449	Deep Learning	TuTh 11-12:20 Demeter
COMP_SCI 496	Visualization for Scientific Communication
ELEC_ENG 328	Information Theory and Learning
ELEC_ENG 335	Deep Learning Foundations
ELEC_ENG 373	Deep Reinforcement Learning
ELEC_ENG 395	Optimization Techniques for Machine Learning
ELEC_ENG 424	Distributed Optimization
ELEC_ENG 433	Statistical Pattern Recognition
ES_APPM 345	Applied Linear Algebra
ES_APPM 375-1	Quantitative Biology I: Experiments, Data, Models, and Analysis
ES_APPM 375-2	Quantitative Biology II: Experiments, Data, Models, and Analysis
ES_APPM 472	Introduction to the Analysis of RNA Sequencing Data	MW 3:30-4:50 Kath
ES_APPM 479	Data Driven Methods for Dynamical Systems
IEMS 307	Quality Improvement by Experimental Design
IEMS 308	Data Science and Analytics
IEMS 313	Foundations of Optimization	MWF 11:00-11:50 Morton (Lab: M 3:00, 4:00 )
IEMS 340	Qualitative Methods in Engineering Systems	TTh 12:30-1:50 (Lab: W 5:00) Mejía
IEMS 341	Social Network Analysis
IEMS 351	Optimization Methods in Data Science	MWF 11:00-11:50 Nocedal (Lab: T 10:00, 11:00)
MAT_SCI 358	Modeling and Simulation in Material Science
MAT_SCI 391	Process Design
MECH_ENG 301	Introduction to Robotics Laboratory
MECH_ENG 329	Mechanistic Data Science
MECH_ENG 341	Computational Methods for Engineering Design
MECH_ENG 441	Engineering Optimization for Product Design and Manufacturing
MECH_ENG 469	Machine Learning and Artificial Intelligence for Robotics	TTh 12:30-1:50 B. Argall
MECH_ENG 495	Sensing Navigation and Machine Learning for Robotics

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Course Listing Archive

For course listings in previous years, visit the archived pages below:

2024-2025 Course Listings