Machine Learning and Data Science Minor
The minor in Machine Learning and Data Science requires 8 courses: 2 core courses, 2 elective courses, and 4 courses from a specialization track. No more than 4 courses may be double counted within a student's 21-unit major program. Courses with a grade lower than “C-” cannot be applied to the minor.
Core courses (2 units):
| Course | Title |
|---|---|
| Programming Foundations | |
| COMP_SCI 150-0 | Fundamentals of Computer Programming 1.5 |
| Course | Title |
|---|---|
| Statistics Foundations (choose one) | |
| BMD_ENG 220-0 | Introduction to Biomedical Statistics |
| CHEM_ENG 312-0 | Probability and Statistics for Chemical Engineering |
| CIV_ENV 306-0 | Uncertainty Analysis |
| IEMS 201-0 | Introduction to Statistics |
| IEMS 303-0 | Statistics |
Specialization (4 units):
| Course | Title |
|---|---|
| Data Engineering Track | |
| COMP_SCI 217-0 | Data Management & Information Processing |
| or COMP_SCI 214-0 | Data Structures & Algorithms |
| IEMS 304-0 | Statistical Learning for Data Analysis |
| DATA_ENG 200-0 | Foundations of Data Science |
| DATA_ENG 300-0 | Data Engineering Studio |
| Course | Title |
|---|---|
| Machine Learning Track (not open to computer science majors/minors) | |
| COMP_SCI 111-0 | Fundamentals of Computer Programming |
| COMP_SCI 214-0 | Data Structures & Algorithms |
| COMP_SCI 348-0 | Introduction to Artificial Intelligence |
| COMP_SCI 349-0 | Machine Learning |
| Course | Title |
|---|---|
| Hybrid Track | |
| COMP_SCI 214-0 | Data Structures & Algorithms |
| COMP_SCI 349-0 | Machine Learning |
| DATA_ENG 200-0 | Foundations of Data Science |
| DATA_ENG 300-0 | Data Engineering Studio |
Elective Courses (2 units):
| Course | Title |
|---|---|
| BMD_ENG 311-0 | Computational Genomics |
| BMD_ENG 312-0 | Biomedical Applications in Machine Learning |
| BMD_ENG 313-0 | Wearable Devices: From Sensing to Biomedical Inference |
| CHEM_ENG 379-0 | Computational Biology: Analysis and Design of Living Systems |
| CIV_ENV 304-0 | Civil and Environmental Engineering Systems Analysis |
| CIV_ENV 377-0 | Choice Modelling in Engineering |
| CIV_ENV 395-0 | Special Topics in Civil and Environmental Engrg (Data Science for Urban Systems) |
| CIV_ENV 480-1 | Travel Demand Analysis & Forecasting 1 |
| CIV_ENV 480-2 | Advances in Travel Demand Analysis and Forecasting |
| CIV_ENV 495-0 | Selected Topics in Civil Engineering (Data Analytics for Transportation and Urban Infrastructure Applications) |
| COMP_SCI 312-0 | Data Privacy |
| COMP_SCI 332-0 | Online Markets |
| COMP_SCI 333-0 | Interactive Information Visualization |
| COMP_SCI 394-0 | Agile Software Development |
| COMP_SCI 396-0 | Special Topics in Computer Science (Computing, Ethics, and Society) or (Visualization for Scientific Communication) or (Modeling Relationships with Causal Inference) or (Natural and Artificial Vision) |
| COMP_SCI 397-0 | Special Projects in Computer Science (Rapid Prototyping for Software Innovation) or (Seminar in Statistical Language Modeling) |
| COMP_SCI 449-0 | Deep Learning |
| ELEC_ENG 328-0 | Information Theory & Learning |
| ELEC_ENG 335-0 | Deep Learning Foundations from Scratch |
| ELEC_ENG 373-0 | Deep Reinforcement Learning |
| ELEC_ENG 395-0 | Special Topics in Electrical Engineering (Optimization Techniques for Machine Learning and Deep Learning) |
| ELEC_ENG 424-0 | Distributed Optimization |
| ELEC_ENG 433-0 | Statistical Pattern Recognition |
| ES_APPM 345-0 | 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 472-0 | Introduction to the Analysis of RNA Sequencing Data |
| ES_APPM 479-0 | Data Driven Methods for Dynamical Systems |
| IEMS 307-0 | Quality Improvement by Experimental Design |
| IEMS 308-0 | Data Science and Analytics |
| IEMS 313-0 | Foundations of Optimization |
| IEMS 340-0 | Qualitative Methods in Engineering Systems |
| IEMS 341-0 | Social Networks Analysis |
| IEMS 351-0 | Optimization Methods in Data Science |
| MAT_SCI 358-0 | Modeling and Simulation in Materials Science and Engineering |
| MAT_SCI 391-0 | Process Design |
| MECH_ENG 301-0 | Introduction to Robotics Laboratory |
| MECH_ENG 329-0 | Mechanistic Data Science for Engineering |
| MECH_ENG 341-0 | Computational Methods for Engineering Design |
| MECH_ENG 441-0 | Engineering Optimization for Product Design and Manufacturing |
| MECH_ENG 469-0 | Machine Learning and Artificial Intelligence for Robotics |
| MECH_ENG 495-0 | Selected Topics in Mechanical Engg (Sensory Navigation and Machine Learning for Robotics) |