Course Aims & Objectives:
The course aims to explore the theory, techniques and tools in performance modeling and to provide students with appropriate examples. Upon completion, students should be able to formulate performance models for specified computer & communication systems; to evaluate those models; and to perform system sizing and other system upgrade estimates.

Units: 3

Level: B3

Medium of Instruction: English

Keyword Syllabus:
Probability Theory; Stochastic Process; Queueing Systems; Queueing Network; Modeling Methodologies; Simulation Techniques; Computational Algorithms; Approximate Methods.

Teaching Pattern:
Duration of course: 1 semester
Current mix of lecture/tutorial/laboratory, other: 2 hrs. lecture; 1 hr. tutorial.

Assessment Pattern:
Examination duration: 2 hours
Percentage distribution of marks for coursework, examination, other: 30% CW; 70% Exam
Grading pattern: Standard (A+AA-...F)
For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.

Pre-requisite(s):
CS3102 /or
CS3103 /or
CS3161 /or equivalent

Pre-cursor(s):
MA2144 /or
MA2172 
 

Equivalent Course(s): 
*CS3291 Performance Evaluation