Computer Networks Modeling
Information Systems Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Computer Networks Modeling | BTM544 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Prof. Dr. Halil YİĞİT
Associate Prof. Dr. Serdar SOLAK
Research Assistant Seda BALTA
Research Assistant M.M. Enes YURTSEVER
Learning Outcomes of the Course Unit
1) Probability theory.
2) Knows the basic probability distributions.
3) Queuing models. Markov chains. Network models of the tail.
4) Simulation program can make with the sample application.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | No relation | No relation | High | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Probability theory. Random variables. Basic probability distributions: Binomial Distribution, Bernoulli Distribution, Poisson Distribution, Exponential Distribution, Normal Distribution and Uniform Distribution. Queuing models. Markov chains. Queuing network models. Modeling communication networks using queuing systems. Computer Networks simulation models. Computer networks performance evaluation. Example applications.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required