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INFO-H 611 Mathematical and Logical Foundations of Informatics

3 credits

Prerequisites: None

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 Linear Algebra Notes
  • Strang, G. (1991). Calculus. Wellesley, MA: Wellesley-Cambridge Press.
    Chapters 1–6, 11, and 13

Probability

Course Delivery

  • On-Campus

Course Schedule

Syllabi