Applied Mathematics & Computer Science, B.S. (AI Concentration)

Mathematics Requirements (25 credits)

• MATH-158 Calculus III (4 cr.)
• MATH-270 Discrete Mathematics (3 cr.)
• MATH-275 Linear Algebra (3 cr.)
• MATH-370 Modern Algebra (4 cr.)
• MSCS-280 Graph Theory with Applications in Computer Science (3 cr.)
• MSCS-351 Mathematical Modeling (4 cr.)
• MSCS-446 Numerical Analysis (4 cr.)

CS and AI Requirements (35 credits)

*CS-145 and CS-244 require a grade of C or better.

• CS-145 Computer Science II (4 cr.)
• CS-244 Data Structures (4 cr.)
• CS-235 Introduction to Artificial Intelligence (3 cr.)
• CS-322 Data Visualization (3 cr.)
• CS-324 Database Systems Manipulation and Design (3 cr.)
• CS-345 Image Processing (3 cr.)
• CS-354 Algorithm Design and Analysis (3 cr.)
• CS-358 Software Engineering Principles (3 cr.)
• CS-445 Data Mining (3 cr.)
• MSCS-335 Machine Learning (3 cr.)
• MSCS-435 Advanced Machine Learning (3 cr.)

Statistics Requirements (6 credits)

• STAT-330 Probability and Statistics for Engineering and the Sciences (3 cr.) or
• STAT-331 Probability and Mathematical Statistics I (3 cr.)

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• STAT-340 Applied Regression Analysis (3 cr.)

Experiential Learning (1 credit)

Choose one course from the following list.

• CS-449 Cooperative Education Experience (1 cr.)
• MSCS-449 Cooperative Education Experience (1 cr.)