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Course Catalog 2010-2011
TLT-2707 Network Simulation Techniques, 3-6 cr |
Person responsible
Dmitri Moltchanov
Requirements
Successful pass of examination is required to complete the course.
Principles and baselines related to teaching and learning
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Learning outcomes
- get familiar with discrete-event simulations - get basic knowledge of data collection techniques - get knowledge of various advanced techniques for discrete-event simulations
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Probability refresher - Introduction - Probability theory - Stochastic processes - Statistics | ||
| 2. | Network simulation - Introduction to simulations - Random numbers generators and associated tests - Collection of data and analysis of results - Variance reduction techniques - Discrete-event simulations - Design of discrete-event simulations - Network simulation packages: ns2 and OPNET - Special topics in simulations |
Evaluation criteria for the course
This course is assessed based on the following: - examination - assignments
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Prerequisites
| Course | Mandatory/Advisable | Description |
| TLT-2316 Computer Networking I | Mandatory | |
| TLT-2336 Computer Networking II | Advisable |
Additional information about prerequisites
Equivalent course are advisable for international students
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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Additional information
Suitable for postgraduate studies