Curriculum
2024-2025 Course Listings

Programming Foundations (1 credit)

Course Course Title Fall 2024 Winter 2025 Spring 2025
COMP_SCI 150 Fundamentals of Computer Programming 1.5 MWF 12:00-12:50 Kurdia, Geisler 1-1:50 MWF
Kurdia		 11-11:50 MWF
Kurdia

Statistics Foundations (1 credit)

Course Course Title Fall 2024 Winter 2025 Spring 2025
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 MWF 2-3:20
Richards
CIV_ENV 306 Uncertainty Analysis MWF 12:00-12:50, T 12:30-1:20
Chen
IEMS 201 Introduction to Statistics TTh 9:30-10:50
Ankenman
IEMS 303 Statistics MWF 9:00-9:50
Chan
(Lab: W 2:00, 3:00)		 TTh 2:00-3:20
Chan
(Lab: W 2:00, 3:00)		 MWF 9:00-9:50
Nelson
(Lab: W 12:00, 1:00 )

Specialization (4 credits)

Course Course Title Fall 2024 Winter 2025 Spring 2025
DATA ENG 200 Foundations of Data Science TTh 9:30-10:50
Chan		 TTh 12:30-1:50
Hu
DATA ENG 300 Data Engineering Studio TTh 12:30-1:50
Klabjan
(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 11-11:50 MWF
Sood		 1-1:50 MWF
Sood
COMP_SCI 214 Data Structures and Algorithms 11-12:20 TuTh (2 sections)
St-Amour		 11:00-12:20 TuTh (2 sections)
Bhagavatula		 11:00-12:20 TuTh (2 sections)
St-Amour
COMP_SCI 217 Data Management and Information Processing TTh 9:30-10:50 Hu 12:30-1:50 TuTh
Hu
COMP_SCI 348 Intro to Artificial Intelligence TTh 3:30-4:50
Birnbaum		 3:30-4:50 MW
Elkind		 TBD
Alam
COMP_SCI 349 Machine Learning TTh 2:00-3:20 Demeter 9:30-10:50 TuTh
Wood-Doughty		 11-12:20 TuTh
Wood-Doughty
IEMS 304 Statistical Learning for Data Analysis MWF 2:00-2:50
Chan
(Lab: TH 11:00, 12:00)		 MWF 10:00-10:50
Chen
(Lab: F 1:00, 2:00)		 MWF 9:00-9:50
Lu
(Lab: F 1:00, 2:00)

MLDS Electives (2 credits)

Course Course Title Fall 2024 Winter 2025 Spring 2025
BMD_ENG 311 Computational Genomics TTh 9:30-10:50      Ji
BMD_ENG 312 Biomedical Applications in Machine Learning TTh 11:00am-12:20pm
Ludvig
BMD_ENG 313 Wearable Devices
CHEM_ENG 379 Computational Biology
CIV_ENV 304 Systems Analysis TTh 9:30-10:50
Durango-Cohen
CIV_ENV 377 Choice Modeling in Engineering MW 10:00-12:00
Tahlyan
CIV_ENV 480-1 Travel Demand Analysis and Forecasting 1 MW 2:00-3:50
Tahlyan
CIV_ENV 495-0 Data Analytics for Transportation and Urban Infrastructure Applications MW 12:30-1:50
Buscarnera
COMP_SCI 332 Online Markets MW 9:30-10:50
Hartline
COMP_SCI 333 Interactive Information Visualization 3:30-4:50 MW
Hullman
COMP_SCI 392 Rapid Prototyping for Software Innovation MWF 3-3:50
Riesbeck
COMP_SCI 394 Agile Software Development 3:30-4:50 MW
Riesbeck		 9:30-10:50 MW (Riesbeck) or TBD TuTh (Warren)
COMP_SCI 396 Computing, Ethics, and Society
COMP_SCI 396 Modeling Relationships with Casual Inference
COMP_SCI 396 Natural & Artificial Vision TTh 11-12:20
Alexander
COMP_SCI 397 Seminar in Statistical Language Modeling
COMP_SCI 449 Deep Learning 9:30-10:50 TuTh
Wood-Doughty		 9:30-10:50 TuTh
Pardo		 11-12:20 TuTh
Demeter
COMP_SCI 496 Visualization for Scientific Communication
ELEC_ENG 328 Information Theory and Learning MW 2-3:20
Guo
ELEC_ENG 335 Deep Learning Foundations
ELEC_ENG 373 Deep Reinforcement Learning W 5-8
Katsaggelos
ELEC_ENG 395 Optimization Techniques for Machine Learning  
ELEC_ENG 424 Distributed Optimization MW 11:00am-12:20pm
Wei
ELEC_ENG 433 Statistical Pattern Recognition TuTh 2:00-3:20
Y. Wu
ES_APPM 345 Applied Linear Algebra TTh 12:30-1:50
Mangan
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 Analysis of RNA Sequencing Data TTh 2:00-3:20
Kath
ES_APPM 479 Data Driven Methods for Dynamical Systems
IEMS 307 Quality Improvement by Experimental Design TTh 12:30-1:50 PM
Ankenman
IEMS 308 Data Science and Analytics TTh 3:30-4:50
TBD
(Lab: W 9:00, 10:00)
IEMS 313 Foundations of Optimization MWF 11:00-11:50
Morton
(Lab: M 3:00, 4:00 )		 MWF 11:00-11:50
Morton
(Lab: M 3:00, 4:00)		 MWF 11:00-11:50
Morton
(Lab: M 3:00, 4:00)
IEMS 340 Qualitative Methods in Engineering Systems TTh 2:00-3:20
Mejía
IEMS 341 Social Network Analysis TH 3:30-6:20
Contractor
(Lab: F 12:00, 3:00 )
IEMS 351 Optimization Methods in Data Science MWF 11:00-11:50
Diao
(Lab: T 11:00, 12:00)
MAT_SCI 358 Modeling and Simulation in Material Science MWF 11:00-11:50
Rondinelli
MAT_SCI 391 Process Design MWF 3:00-3:50
Kumar
MECH_ENG 301 Introduction to Robotics Laboratory TTh 12:30-3:20
B. Argall
MECH_ENG 329  Mechanistic Data Science TTh 9:30-10:50
W.Liu
MECH_ENG 341 Computational Methods for Engineering Design TTh 9:30-10:50
W. Chen
MECH_ENG 441 Engineering Optimization for Product Design and Manufacturing
MECH_ENG 469 Machine Learning and Artificial Intelligence for Robotics
MECH_ENG 495 Sensory Navigation and Machine Learning for Robotics