Course Details
Subject {L-T-P / C} : EE6121 : ML for Optical Communication and Networks { 3-0-0 / 3}
Subject Nature : Theory
Coordinator : Suman Kr. Dey
Syllabus
| Module 1 : |
MODULE-I (5 hours)
|
Course Objective
| 1 . |
To understand the basic concepts of optical components, modulation techniques, and optical transmission systems. |
| 2 . |
To understand the basic concepts of Local, Access, and Metro Networks. |
| 3 . |
To build fundamental concepts in Wide-Area Optical Networks for optimal resource assignment and designing as per the industrial requirements in the presence of optical impairments. |
| 4 . |
To comprehend various ML based optical networks control and management. |
Course Outcome
| 1 . |
CO1: Understand the basic concepts of optical transmission system.
|
Essential Reading
| 1 . |
Andreas Muller, Introduction to Machine Learning with Python: A Guide for Data Scientists, Shroff/O’Reilly, 2016. |
| 2 . |
Rajiv Ramaswami, Kumar N. Sivarajan, Galen H. Sasaki, Optical Networks - A Practical Perspective, 3rd Ed., Morgan Kaufmann Elsevier, 2010 |
Supplementary Reading
| 1 . |
Byrav Ramamurthy, Design of Optical WDM Networks - LAN, MAN and WAN Architectures, 1st Ed., Kluwer Academic Publishers, 2000. |
| 2 . |
Biswanath Mukherjee, Optical WDM Networks, Springer, 1st Ed., 2006. |



