Jun 29, 2022  
2020-2021 Graduate Catalog 
    
2020-2021 Graduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

MATH 8030:Applied Discrete & Combinatorial Mathematics for Data Analysts

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: Admission to the program or the department.
This course covers applied discrete mathematics and combinatorial tools for data analyst. Topics covered include principles of counting, set theory, mathematical induction, functions. Examples using applied data analysis and associated computing are used throughout.



Add to Portfolio (opens a new window)