BAN 602 - Quantitative Fundamentals for Analytics

Units: 3
Fundamental quantitative methods with software. Topics include: programming for data analysis, computational linear algebra, and quantitative methods.

Strongly Recommended Preparation: College Algebra, Statistics and Object-Oriented Programming.
Prerequisites: Post-baccalaureate standing.
Possible Instructional Methods: Entirely On-ground, or Entirely Online, or Hybrid.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Choose appropriate quantitative methods for data analysis.
Apply linear algebra to multi-dimensional data analysis.
Develop computer programs to implement the quantitative and mathematical methods in data analysis.