Graduate School of Informatics, METU

Course Information

These two 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 to any graduate student, with Cogsci first, Informatics second, and the rest third priority. 502 requires 501 or equivalent background.

Material

  • Material assigned on the weekly schedule.
  • Everything discussed class.

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

We don’t track attendance. It’s OK to come only to quizzes which usually start around 17:00.

← Back to Schedule