Approved Statistics or Computational Methods Courses

Approved courses:

• BINF 601 - Introduction to Data Sciences Credit(s): 3
• BINF 610 - Applied Machine Learning Credit(s): 3
• BINF 620 - Big Data Analytics in Healthcare Credit(s): 3
• BINF 684 - Introduction to Machine Learning Credit(s): 3
• BISC 643 - Biological data analysis Credit(s): 3
• BMSC 686 - Mathematics for Biomechanics Credit(s): 3
• CHEG 604 - Probability and Statistics for Engineering Problem Solving Credit(s): 3
• CIEG 642 - Advanced Data Analysis Credit(s): 3
• CISC 683 - Introduction to Data Mining Credit(s): 3
• ELEG 630 - Information Theory Credit(s): 3
• ELEG 815 - Analytics I: Statistical Learning Credit(s): 3
• ELEG 817 - Large Scale Machine Learning Credit(s): 3
• ELEG 845 - Modern Machine Learning Credit(s): 3
• KAAP 602 - Data Analysis and Interpretation in Health Sciences Credit(s): 3
• MATH 518 - Mathematical Models and Applications Credit(s): 3
• MATH 637 - Mathematical Techniques in Data Science Credit(s): 3
• PSYC 860 - Psychological Statistics I Credit(s): 3
• PSYC 861 - Psychological Statistics II Credit(s): 3
• PSYC 878 - Hierarchical Linear Modeling Credit(s): 3
• PSYC 879 - Structural Equation Modeling Credit(s): 3
• STAT 608 - Statistical Research Methods Credit(s): 3
• STAT 609 - Regression and Experimental Design Credit(s): 3
• STAT 611 - Regression Analysis Credit(s): 3
• STAT 612 - Advanced Regression Techniques Credit(s): 3
• STAT 613 - Applied Multivariate Statistics Credit(s): 3
• STAT 615 - Design and Analysis of Experiments Credit(s): 3
• STAT 616 - Advanced Design of Experiments Credit(s): 3
• STAT 617 - Multivariate Methods and Statistical Learning Credit(s): 3
• STAT 619 - Time Series Analysis Credit(s): 3