Mathematical Foundations of Data Analytics

Catalog description

Service course. Mathematical concepts and terminology needed for statistical programming and data analysis. Topics include: systems of linear equations and matrix algebra; graphs and networks; logic and Boolean algebra; sets and probability; power, polynomial, exponential, and logarithmic functions; basics of differential and integral calculus; elementary principles of continuous optimization; numerical methods. Emphasis on contexts related to data and programming. Prerequisites: MTH 122 or MTH 124 or MTH 125 or Calculus (AP Calculus or MTH 141 or MTH 151 ) or an ACT Math score of at least 24 or an SAT Math score of at least 580 or at least 12 on the Miami Math Placement Test.