Prerequisite Courses:

Course Language:

English

Course Objectives:

The aim of this course is to familiarize students the fundamentals of probability theory using contemporary and practical examples. We provide necessary probability background for the students who want to work on communications, statistical signal processing related courses.

Course Content:

Basic concepts of probability, expectation and variance, distribution functions, Bayes' formula, marginal and conditional distributions, the distributions of sample statistics, law of large numbers and central limit theorem, hypothesis testing.

Course Methodology:

1: Lecture, 2: Problem Solving, 3: Simulation, 4: Seminar, 5: Interdisciplinary group working, 6: Laboratory, 7: Term research paper, 8: Guest Speaker, 9: Sample Project Review

Course Evaluation Methods:

A: Exam, B: Quiz, C: Experiment, D: Homework, E: Project