INFO-H 611 Mathematical and Logical Foundations of Informatics
An introduction to mathematical methods for information modeling, analysis, and manipulation. The topics include proof methods in mathematics, models or computation, counting techniques and discrete probability, optimization, statistical inference, and more advanced topics that include but are not limited to Markov chains and random walks, random graphs, and Fourier analysis.
- 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 Linear Algebra Notes
- Strang, G. (1991). Calculus. Wellesley, MA: Wellesley-Cambridge Press.
Chapters 1–6, 11, and 13
- Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2015). OpenIntro Statistics (3rd ed.). OpenIntro, Inc.
- Continuous random variables and probability distributions
- Sahoo, P. (2013). Probability and mathematical statistics. Louisville, KY: University of Louisville.
There is not a syllabus available for this course.