Contents
- Course Details
- Course Summary
- Course Timetable
- Course Aims
- Student Learning Outcomes
- Assumed Knowledge
- Teaching Rationale
- Teaching Strategies
- Assessment
- Academic Honesty and Plagiarism
- Course Schedule
- Resources for Students
- Course Evaluation and Development
- Special Consideration
Course Details
| Course Code | COMP3331/9331 |
| Course Title | Computer Networks and Applications |
| Units of Credit | 6 |
| Lecture | Md Monir Hossain |
| Admin | Ayda Valinezhad Orang |
| Classes |
Lectures: Mon 10:00-12:00 Hrs, Thu 9:00 -11:00 Hrs, On-line: Zoom Meeting (links on Lectures page)
Timetable for all classes. |
| Consultations |
Wednesday 9:00 - 10:00
Venue: Zoom Consultation (meeting id:851 2064 2697, password: 518662) |
| Course Website |
Course Website
|
| Course Contact Email | cs3331@cse.unsw.edu.au |
| Handbook Entry | Handbook Entry |
Course Summary
This course is an introductory course on computer networks, aimed at students with a computer science / electrical engineering background. We will focus on common paradigms and protocols used in present data communication. Through lectures, in-class activities, labs and assignments, you will learn the theory and application of:
(1) Medium access control, congestion control, flow control, and reliable transmission,
(2) Addressing and naming,
(3) Routing and switching,
(4) Widely used protocols such as Ethernet, IP, TCP, UDP, HTTP, etc.
(5) Security threats and common defensive techniques, and
(6) Special-purpose networks such as content delivery networks, peer-to-peer networks and wireless networks.
This is a combined undergraduate and postgraduate course.
Course Timetable
There will be 4 hours of lectures every week:
(i) 2-hour lecture on Monday 10:00 - 12:00 and
(ii) 2-hour lecture on Thursday 9:00 - 11:00
We plan to run live online lectures through Zoom with the opportunity to ask questions via chat. Recording of all lectures will be made available. Links for the Zoom meetings will be posted on the Lectures page.
There will be 2-hour labs during 8 weeks (starting in Week 2). The detailed lab schedule will be posted on The detailed course timetable is available
here
Course Aims
- To provide an in-depth introduction to a wide range of topics in the field of computer networks including the Internet.
- To get a hands-on understanding of the working of network protocols.
- To gain expertise in network programming, designing and implementing network protocols, evaluating network performance and problem-solving skills.
- To build the necessary foundational knowledge required in subsequent networking courses (COMP4335-4337, COMP6733, COMP9332-9337).
Student Learning Outcomes
After completing this course, students will:
- Have a working knowledge of computer networks, and will be able to demonstrate by describing aspects of the topics and by solving problems related to the topics
- Have a solid understanding of the current architecture of the Internet and the entities involved in its operations
- Be able to identify soundness or potential flaws in proposed protocols
- Be equipped with the necessary skills to design networked applications and protocols
- Implement and write protocols and applications in C, Java or Python
- Analyze and evaluate the performance of computer networks
- Be able to capture and network traffic
- Be able to understand and explain security and ethical issues in computer networking
This course contributes to the development of the following graduate capabilities:
|
Graduate Capability |
Acquired in |
|
Scholarship: of their discipline in its interdisciplinary context |
Lectures, labs, assignment |
|
Scholarship: Capable of independent and collaborative |
Labs, assignment |
|
Scholarship: rigorous in their analysis, critique, and reflection |
Lectures, labs, exams, sample problems |
|
Scholarship: able to apply their knowledge and skills to solve problems |
Labs, assignment, exams, sample problems |
|
Scholarship: capable of effective communication |
Labs, assignment, lectures, exams |
|
Scholarship: digitally literate |
All aspects of the course |
|
Scholarship: information literate |
All aspects of the course |
|
Leadership: collaborative team workers |
Labs, assignment |
|
Professionalism: capable of independent, self-directed practice |
All aspects of the course |
|
Professionalism: capable of lifelong learning |
All aspects of the course |
|
Professionalism: capable of operating within an agreed Code of Practice |
Labs, assignment |
|
Global citizens: culturally aware and capable of respecting diversity and acting in socially /responsible ways |
Labs, course forums |
Before commencing this course, students should:
- Have a good understanding of data structures and algorithms, basic probability theory.
- Be able to write working programs in C, Java or Python. The course will include a programming assignment and lab exercises.
Teaching Rationale
This course takes a top-down approach to teaching computer networks. The rationale behind this is that most students have first-hand experience using applications running over the Internet. This allows them to relate to each layer of the stack as we travel down the layers. Once they are committed, they participate in appropriate cognitive aspects such as learning the details with a focus to understand them. Students get mentally prepared to answer questions. Very often there is no single answer or the answers can be unexpected. This results in deep learning and gives students a sense of accomplishment and confidence.
Learning will be largely facilitated through the delivery of lectures. The hands-on laboratories will provide an opportunity to gain a deeper understanding of the concepts discussed in the lectures. The sample problems, homework problem set, and tutorials will help develop problem-solving skills and prepare for the exams. The programming assignments are mainly geared to allow students to gain familiarity with basic network programming and designing network protocols.
Teaching Strategies
- Lectures: introduce theory demonstrate how they apply in practice
- Lab Work: reinforce concepts taught in lectures by conducting hands-on experiments and network performance
- Assignment: allow students to design and implement network evaluate network performance
- Homework Problems: allow students to solve problems based on content from lectures, develop problem-solving skills, assist with exam preparation
- Consultations, Tutorials and Course Forum: allow students an opportunity to ask questions and seek help.
Assessment
There will be four assessment components as listed below:
| Component | Weight |
|---|---|
| Lab Exercises | 20% |
| Programming Assignment | 20% |
| Mid-term Test | 20% |
| Final Exam | 40% |
To pass the course a student MUST receive at least 40% marks in the final exam. The following formula outlines precisely how the final mark will be computed:
lab = marks for lab exercises (scaled to 20)
assign = marks for the programming assignment (out of 20 marks)
midTerm = mark for the mid-term exam (out of 20 marks)
finalExamScaled = scaled mark for the final exam (out of 40 marks)
mark = lab + assign + midTerm + finalExamScaled
grade = HD|DN|CR|PS if mark >= 50 && finalExamScaled >= 16
= FL if mark < 50
<p> = UF finalExamScaled < 16</p>
In this course, the final and mid-term exams will be using the
Inspera platform
which you will get access to from a link in the course Moodle site. More information for students about Inspera can be found here:
https://unsw.sharepoint.com/sites/Assessment-Platform-Pilot
.
Plagiarism is defined as using the words or ideas of others and presenting them as your own UNSW and CSE treat plagiarism as academic misconduct, which means that it carries penalties as severe as being excluded from further study at UNSW. There are several sources to help you understand what plagiarism is and how it is dealt with at UNSW:
- Plagiarism and Academic Integrity
- Student Code Policy
- Student Misconduct Procedure
- Plagiarism Policy
- UNSW Plagiarism Procedure
- Essential Advice for CSE students
Make sure that you read and understand the above. Ignorance is not accepted as an excuse for plagiarism. In particular, you are responsible for securely storing your assignment files such that they are not accessible by anyone but you by setting proper permissions on your CSE home directory and/or on online code repositories. Note also that plagiarism includes paying or asking another person to do a piece of work for you and then submitting it as your own work.
Course Schedule
The following table lists the tentative weekly schedule. Students will be informed of any changes during the lecture and by announcements on the notices page.
| Week | Lecture Dates | Lecture Topics | Labs | Assessment Tasks |
|---|---|---|---|---|
| 1 | 30 May & 2 June |
Course Logistics
Introduction:
|
Self-Study of Lab
resources and tools (no submission and no marks) |
|
| 2 | 6 & 9 June |
Application Layer:
|
Lab 1 |
Lab 1 submission deadline: 10:00 Tue 14 June
|
| 3 |
13 & 16 June
NOTE: 13th June is a public holiday . A recorded lecture will be available for viewing |
Application Layer:
Transport Layer:
|
Lab 2 |
Lab 2 submission deadline: 10:00 Tue 21 June
|
| 4 |
20 & 23 June
|
Transport Layer:
|
Lab 3
|
Lab 3 submission deadline: 10:00 Tue 28 June
Assignment Specs Released (Expected) |
| 5 |
27 & 30 June
|
Transport Layer:
|
Tutorial 1
|
|
| 6 | No lecture |
No lecture
|
No Lab |
No Lab
|
| 7 | 11 & 14 July |
Network Layer, Data Plane:
|
Lab 4
|
Mid-term Test on 11th July during lecture hours
Lab 4 submission deadline: 10:00 Tue 19 July |
|
8
|
18 & 21 July
|
Network Layer, Data Plane:
|
Lab 5
|
Lab 5 submission deadline: 10:00
Tue 26 July |
| 9 | 25 & 28 July |
Network Layer, Control Plane:
|
Lab 6
|
Lab 6 submission deadline: 10:00
Tue 2 Aug |
| 10 |
1 & 4 Aug
|
Link Layer:
Network Security
|
Tutorial 2
|
Assignment Due: noon, Friday 05 Aug |
| Exam Period |
12 Aug - 25 Aug
|
T1 Exams |
|
Final Exam |
Resources for Students
Course Textbook:
- Computer Networking - A Top-Down Approach Featuring the Internet, J. Kurose and K. Ross, Pearson, 7th Edition, 2017 (Sixth edition will suffice for most parts). UNSW Bookshop Links - Print Version , E-book Version
Reference Texts:
- Unix Network 1 - Networking APIs: Sockets and XTI, W. Richard Stevens, Prentice-Hall, Second Edition, 1998.
- Java Network Programming, E. R. Harold, O'Reilly, Third Edition, 2004.
- Learning Python, Mark Lutz, O'Reilly, Fifth Edition, 2013.
- Computer Networks: A Systems Approach, Larry Peterson and Bruce Davie, Morgan Kaufmann, Fifth Edition, 2011.
- Introduction to Computer Networks and Cybersecurity, John Wu and J. David Irwin, CRC Press, 2013.
- Computer Networks, Andrew Tanenbaum and David Wetherall, Fifth Edition, Pearson, 2010.
Links to additional reading material will be available on the lecture notes page.
Software:
For the labs, we will be using several Unix-based network utility programs. The purpose of these programs and information on how to use them will be provided in the lab handouts. We will also use a packet sniffing tool called Wireshark which has been widely deployed on CSE machines. In addition, we will also use Ns-2 a widely used network simulator for a few labs. Ns-2 is installed on the CSE lab machines. The simulator is written in C++. However, it uses OTcl as its command and configuration interface. In the lab exercises, we will use scripts written in OTcl. We will provide the necessary scripts for the lab exercises. You will be expected to run the scripts, make some changes in the scripts, and certain performance metrics. You will not be required to write C++ code. Detailed resources for all tools used will be made available on the lab exercises page.
The programming assignment is expected to be developed in
C, Java or Python
. Students are assumed to have sufficient expertise in one of these programming languages. Links to network programming resources in C, Java and Python will be available on the assignment page. Students will work on some simple client-server applications in two lab exercises which should be a useful starting point for the assignment.
Course Evaluation and Development
Student feedback on this course and the effectiveness of lectures in this course are obtained via the myExperience survey at the end of each term. Student feedback is taken seriously, and continual improvements are made to the course based in part on this feedback. Students are strongly encouraged to let the lecturer in charge know of any problems as soon as they arise. Suggestions and criticisms will be listened to openly, and every action will be taken to correct any issue or improve the students’ learning experience. The feedback for Term 1, 2022 was generally very positive so I don't anticipate to make any major changes.
Special Consideration
You can view the Special Consideration policy at the link here .
UNSW handles special centrally (in the Student Lifecycle division), so all special consideration requests must be submitted via the UNSW Special Consideration website. If your work in this course is affected by unforeseen adverse circumstances, you should apply for Special Consideration. Special consideration requests must be accompanied by documentation on how you have been affected, which will be verified by Student Lifecycle. Do not email the LiC directly about special consideration. If your request is reasonable and your work has clearly been impacted, then
- an assignment, you may be granted an extension
- Mid Term Exam, you may be granted an opportunity to take the exam later
- Final Exam, you may be offered a Supplementary Exam
Note the use of the word "may". None of the above is guaranteed. It depends on you making a convincing case that the circumstances have clearly impacted your ability to work. Note that UNSW expects you to be available to sit Supplementary Exams if required. If you are awarded a supplementary exam and do not attend, then your exam mark will be zero.
If you are registered with Disability Services, please forward your documentation to your Lecturer within the first two weeks of term.
Contacting LiC and Course Admin: No personal emails, please. Please use cs3331@cse.unsw.edu.au.
9 months ago , last modified 8 months ago .
Resource created Sunday 22 May 2022, 12:49:47 PM, last modified Friday 03 June 2022, 11:31:45 AM.