E2 221, Fall 2024
Communication Networks
Lectures
- 17 Oct 2024: Lecture-22 Resource allocation in networks
- 22 Oct 2024: Lecture-23 Stability of dynamic systems
- 24 Oct 2024: Lecture-24 Distributed algorithms
Homework
- 15 Aug 2024: Homework-01
- 29 Aug 2024: Homework-02
- 12 Sep 2024: Homework-03
- 26 Sep 2024: Homework-04
- 10 Oct 2024: Homework-05
- 24 Oct 2024: Homework-06
- 07 Nov 2024: Homework-07
- 14 Nov 2024: Homework-08
Tests and grading policy
Mid Term Hours: 11:30-13:00
Final Hours: 10:00-13:00
Venue: EC 1.08, ECE main building
- 13 Sep 2024: Mid Term 1 (25)
- 18 Oct 2024: Mid Term 2 (25)
- 22 Nov 2024: Final Exam (50)
Course Syllabus
Prerequisite
This is a first semester graduate course in networking, and there are no prerequisites.
Description
The aim of this course is to introduce analytical modeling to study the analysis, design, and control of modern communication networks. We will apply tools from proabibility theory, random processes, optimization, and calculus.
Teams/GitHub/Overleaf Information
Teams
We will use Microsoft Teams for all the course related communication.
Please do not send any email regarding the course.
You can signup for the course team Comm-Networks-2024 using the following code o3vxskh.
Instructors
Chandramani Kishore Singh
Office: DESE 222
Hours: By appointment.
Parimal Parag
Office: EC 2.17
Hours: By appointment.
Time and Location
Classroom: Auditorium 1, MP 20, ECE MP building
Hours: Tue/Thu 11:30-13:00.
Teaching Assistants
Shreedhar Jain
Email: shreedharj@iisc
Hours: By appointment.
References
Computer Networking: A top-down approach, James F. Kurose and Keith W. Ross, Pearson, Edition 8, 2021.
Communication Networks: An optimization, control, and stochastic networks perspective, Rayadurgam Srikant and Lei Ying, Cambridge University Press, Edition 1, 2014.
Communication Networking: An analytical approach, Anurag Kumar, D. Manjunath, and Joy Kuri, Morgan Kaufmann, 2004.