Artificial Intelligence Major with Concentration in Optimization and Decision Theory

Program of Study

Degree Type

Concentration

Associated Degree

Artificial Intelligence Major

Students taking the Optimization and Decision Theory Concentration must take 6 courses following the course distribution listed below - beyond those taken to meet the core AI requirements.

Required Foundational Courses (must take both; 2/3 units):

Either MA 2621 or MA 2631 Probability for Applications or Probability Theory +

MA 2621

Probability for Applications

1/3

MA 2631

Probability Theory

1/3

MA 1024

Calculus IV

1/3

Choose one course in Linear Programming or Decision Theory from:

MA 2210

Mathematical Methods in Decision Making

1/3

MA 3231

Linear Programming

1/3

Choose two courses in Optimization and Tools of Decision Theory from:

MA 3233

Discrete Optimization

1/3

MA 4235

Nonlinear Optimization

1/3

MA 4237

Probabilistic Methods in Operations Research

1/3

Choose one course from:

CS 4032/MA 3257

Numerical Methods for Linear and Nonlinear Systems

1/3

DS 4635/MA 4635

Data Analytics and Statistical Learning

1/3

MA 2073

Matrices and Linear Algebra II

1/3

MA 2251

Vector and Tensor Calculus

1/3

MA 2271

Graph Theory

1/3

MA 2273

Combinatorics

1/3