Background Courses:
Linear Algebra
EAS 205: Applications of Scientific Computation
MATH 312: Linear Algebra
AMCS 602: Numerical Linear Algebra
Probability
ESE 301: Engineering Probability
Introductory Courses:
CIS 419/519: Applied Machine Learning
CIS 520: Machine Learning
Advanced Courses:
CIS 620: Advanced Topics in Machine Learning (Fall 2018)
CIS 625: Introduction to Computational Learning Theory
CIS 680: Advanced Topics in Machine Perception (Fall 2018)
CIS 700/004: Topics in Machine Learning and Econometrics (Spring 2017)
CIS 700/007: Deep Learning Methods for Automated Discourse (Spring 2017)
CIS 700/002: Mathematical Foundations of Adaptive Data Analysis (Fall 2017)
CIS 700/006: Advanced Machine Learning (Fall 2017)
STAT 928: Statistical Learning Theory
STAT 991: Topics in Deep Learning (Fall 2018)
STAT 991: Optimization Methods in Machine Learning (Spring 2019)
Other Related Courses:
CIS 530: Computational Linguistics
CIS 535: Introduction to Bioinformatics
CIS 536: Introduction to Computational Biology and Biological Modeling
CIS 537: Biomedical Image Analysis
CIS 630: Advanced Topics in Natural Language Processing
CIS 677: Randomized Algorithms
CIS 700/003: Big Data Analytics (Spring 2017)
ESE 504: Introduction to Optimization Theory
ESE 530: Elements of Probability Theory and Random Processes
ESE 545: Data Mining
ESE 605: Modern Convex Optimization
ESE 674: Information Theory
ESE 680: Combinatorial Optimization
MATH 580: Combinatorial Analysis and Graph Theory
STAT 512: Mathematical Statistics
STAT 542: Bayesian Methods and Computation
Course Catalogs
| CIS | ESE | MATH | Wharton |
| Undergrad/Grad | Undergrad/Grad | Undergrad | Grad | Undergrad | Grad |
