Jan 31, 2026  
2026-2027 Undergraduate Catalog 
    
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2026-2027 Undergraduate Catalog
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MLAS 200 - Introduction to Automata and Cybernetic Systems Theory

Credits: 3

This introductory course is a survey of the most common machine learning approaches used in creating descriptive and predictive analytical solutions. Students will be introduced to both the theoretical concepts and practical applications of machine learning and autonomous system. The course material introduces the probabilistic programming paradigm. Case studies will be used to illustrate the application of probabilistic programming frameworks in an applied industrial perspective.

Repeat for Credit
N

Requisites
Corequisite: MLAS 100

Typically Offered
Fall

K-State 8
Empirical and Quantitative Reasoning


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