Graduate School of Informatics, METU

Course Information

These courses aim to introduce graduate students in cognitive science to the mathematical and computational foundations that are necessary for advanced study in cognitive science. The mathematical topics covered at a basic level are, sets, relations, functions, logic, combinatorics, number theory, probability, linear algebra, and calculus. A functional perspective is adapted for programming (Python).

Prerequisites

501 is open, without any prerequisites, to any graduate student, with Cogsci first, Informatics second, and the rest third priority. 502 requires 501 or equivalent background.

Material

  • The relevant material on this site.
  • Composing Programs
  • Epp, Susanna S. (2018). Discrete Mathematics with Applications. 5th ed., Cengage Learning.
  • Everything that is discussed in the class.
  • Additional readings that will be suggested during the course.

Requirements

  • Weekly quizzes
  • Final exam

all written and in class.

The weight of each question will be decided on the basis of its difficulty. There will be bonuses to make up for missed or bad days.

Make-ups

Only available by official medical report or business trip document covering the session date.

Attendance

It’s OK to attend only the quizzes, which will usually start around 17:00. This is recommended only for students with a computation/math background.

← Back to Schedule