 Course Catalog Description

Introduction to probability. Discrete and continuous random variables and their distributions. Simulations of random variables. Descriptive statistics. Statistical inference. Regression. Monte Carlo methods. Stochastic processes. Queuing systems.
 Section 1 Lecture Time/Place
 First meeting on February 14, Thursday at 13:40 in BMB4
 Mondays  10:40 to 12:30 in BMB2
 Thursdays  13:40 to 14:30 in BMB4
 Syllabus
 Course Objectives
 At the end of this course, the students will be able to:
 analyze and interpret large scale data,
 apply probability theory and statistics to handle uncertainty,
 infer facts and relationships from collected data, and
 construct simulations by sampling from arbitrary distributions.
The course will provide the students the ability to apply knowledge of mathematics, science, and engineering; therefore, supporting the corresponding student outcome.
 Prerequisites

MATH 120  Calculus of Functions of Several Variables
 Reading Material
 Textbook:
Probability and Statistics for Computer Scientists, Second Edition, Michael Baron, 2013, 9781439875902
 Additional readings:
 Introduction to Probability, Statistics, and Random Processes. Hossein PishroNik, 2014, 9780990637202
 Probability Theory: The Logic of Science, E. T. Jaynes, 2003, 9780521592710
 Probability and Random Processes, Grimmett, Geoffrey, and David Stirzaker, 2001, 9780198572220
 Probability and Statistics with Reliability, Queuing, and Computer Science Applications, Kishor S. Trivedi, 2001, 9780471333417
 Grading Policy

4 assignments (5% each): 20%

Midterm exam : 40%

Final exam : 40%
Instructor:
Tolga Can
(tcan@ceng.metu.edu.tr)
Office Location: Computer Engineering, B109
Office Hours: By appointment. Contact the instructor