Courses

• Any course numbered 500 or higher is considered a dual undergraduate-graduate course.
• Any course numbered 600 or higher is considered a graduate course for students on the doctoral track, and undergraduate students need special instructor permission to enroll.
• Academic mentors named alongside their courses.

Spring 2024

1. Math 590STA - Mathematical Machine Learning (Debut Cohort!)
2. Math 545 - Advanced Linear Algebra for Applied Mathematics
3. CompSci 550 - Introduction to Stochastic Simulations
4. CompSci 688 - Probabilistic Graphical Models

Fall 2023

1. Math 690STB - Computational Cell Biology - Dr Andreas Buttenschoen (Debut Cohort!)
2. Math 532H - Non-Linear Dynamics and Chaos Theory
3. CompSci 514 - Algorithms for Data Science
4. CompSci 589- Machine Learning

Spring 2023

1. Math 697CM - Combinatorial Optimization - Dr Annie Raymond
2. Math 552 - Applications of Scientific Computing - Dr Andreas Buttenschoen
3. CompSci 311 - Algorithms: Analysis and Design
4. Math Independent Study - Applications of Topological Data Analysis - Dr Andreas Buttenschoen
5. CompSci Independent Study - Efficiently Optimizing Power Mean Objectives in Fair Machine Learning - Dr Cyrus Cousins, Dr Yair Zick

Fall 2022

1. Math 551 - Introduction to Scientific Computing - Dr Andreas Buttenschoen
2. Math 456 - Mathematical Modeling (Linear Programming and Polyhedral Theory) - Dr Annie Raymond
3. CompSci 490A - Applications of Natural Language Processing
4. CompSci 383 - Artificial Intelligence
5. CompSci 250 - Introduction to the Theory of Computation

Spring 2022

1. Math 331 - Ordinary Differential Equations
2. CompSci 220 - Programming Methodologies
3. CompSci 240 - Probability and Statistics

Fall 2021

1. Math 233 - Multivariate Calculus
2. Math 235 - Linear Algebra
3. CompSci 187 - Data Structures