INFO-H 611 Mathematical and Logical Foundations of Informatics
3 credits
- Prerequisite(s): None
- Delivery: On-Campus
Description
This course reviews mathematical methods for data modeling, analysis, and manipulation. Topics include differential calculus, partial derivatives, solving systems of equations, matrices and matrix operations, vector spaces, linear transformations, determinants, inner product spaces, eigenvalues, probability, probability distributions, random variables, and their applications.
Resources
Mathematics
- Abramson, J. (2015). College algebra. Houston, TX: OpenStax, Rice University.
Chapter 1, Chapter 2 (2.1, 2.2, 2.5, 2.7), Chapter 3, Chapter 5 (5.1–5.5), Chapter 6 (6.1–6.7) - MATH 17100
- Strang, G. (1991). Calculus. Wellesley, MA: Wellesley-Cambridge Press.
Chapters 1–6, 11, and 13
Probability
- Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2015). OpenIntro Statistics (3rd ed.). OpenIntro, Inc.
Chapters 1–3 - Continuous random variables and probability distributions
- Sahoo, P. (2013). Probability and mathematical statistics. Louisville, KY: University of Louisville.
Chapter 3.
Policies and Procedures
Please be aware of the following linked policies and procedures. Note that in individual courses instructors will have stipulations specific to their course.