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Course Catalog 2011-2012
TLT-2786 Advanced Topics in Teletraffic Theory, 3-6 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Dmitri Moltchanov
Lessons
Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Successful pass of examination is required to complete the course.
Completion parts must belong to the same implementation
Learning outcomes
Content of the course changes every year. Topic for current implementation is "Traffic modeling". Students are expected to get - familiar with general concept of the traffic - knowledge of the current Internet traffic trends - knowledge traffic collection and analysis - knowledge of various traffic models
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Introduction 1. Reminder of probability 2. Reminder of stochastic processes 3. Reminder of statistics | ||
2. | General concepts 1. The traffic concept 2. Internet traffic trends 3. Collection and analysis | ||
3. | Traffic models 1. Elementary Poisson model 2. Renewal models 3. Markov models 4. Regressive models 5. Models for special effects, e.g. LRD 6. Models for cellular networks |
Evaluation criteria for the course
The course is assessed based on: - examination - assignments
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Prerequisites
Course | Mandatory/Advisable | Description |
TLT-2316 Computer Networking I | Mandatory | |
TLT-2716 Teletraffic Theory I | Mandatory |
Additional information about prerequisites
Equivalent courses for international students.
Prerequisite relations (Requires logging in to POP)
Correspondence of content
There is no equivalence with any other courses
More precise information per implementation
Implementation | Description | Methods of instruction | Implementation |
2011-2012 implementation for TLT-2786 "Advanced topics in teletraffic theory". Theme of the current run is traffic modeling. | Lectures Practical works |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |