Course Overview

This course introduces techniques that the student can use to construct simple models for analyzing and understanding the performance of systems that they are interested in.

Learning Achievement

(1) To introduce students to analytical modeling of system performance. Computer systems are complex, making it hard to understand their behavior and predict their performance. Students will learn some mathematical techniques for modeling system performance, and exercise their modeling skill. (2) To broaden the student's interest in Computer Science. Computer Science is increasingly multi-disciplinary; for example, data streams bring together issues in hardware, networking and databases. This course will give students broad exposure to analytical modeling in different areas of Computer Science.

Competence

Course prerequisites

Pre-requisites are Probability, Networks, OS

Grading Philosophy

Course schedule

Course type

Online Course Requirement

Instructor

Tay Young Chiang

Other information

(College of Electrical Engineering and Computer Science) Graduate Institute of Networking and Multimedia,
(College of Electrical Engineering and Computer Science) Graduate Institute of Computer Science & Information Engineering
*Registration eligibility: seniors and above.

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