COSC364-24S1 (C) Semester One 2024

Internet Technology and Engineering

15 points

Details:
Start Date: Monday, 19 February 2024
End Date: Sunday, 23 June 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 3 March 2024
  • Without academic penalty (including no fee refund): Sunday, 12 May 2024

Description

This course covers theory and practice of Internet routing and the application of mathematical optimization to network and capacity planning problems.

Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.

The Internet became a very important part of our daily lives. It is constantly evolving to accommodate new online services or to support existing services with better quality. At the core of the Internet are so-called routers and switches, their main function being to identify efficient routes for data packets and to actually forward packets in large volumes along these routes. In this course we will study Internet routing and Internet routers / switches in some detail, including the recent developments around “Software-Defined Networking” (SDN). Besides looking at technological and protocol aspects, we will also study IP traffic engineering, where techniques from mathematical optimization / mathematical programming are used to allow network operators to optimize network traffic flow to meet customer and provider objectives.

Learning Outcomes

1. Critique the Internet routing architecture and the OSPF routing protocol including how both have been influenced by scalability considerations [WA1, WA10]
2. Implement and test relevant parts of a given specification of a routing protocol [WA1, WA2, WA3, WA5, WA9, WA10]
3. Analyse and configure OSPF routinga for a given network topology [WA1, WA5, WA10]
4. Apply the fundamentals of linear optimization and of a solution algorithm for linear optimization problems [WA1, WA10]
5. Formulate and numerically solve network traffic engineering problems as optimization problems and present the results [WA1, WA2, WA3, WA5, WA10]

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Employable, innovative and enterprising

Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Prerequisites

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 14:00 - 15:00 A6 Lecture Theatre
19 Feb - 31 Mar
22 Apr - 2 Jun
Lecture B
Activity Day Time Location Weeks
01 Thursday 14:00 - 15:00 A6 Lecture Theatre
19 Feb - 31 Mar
29 Apr - 2 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 Jack Erskine 131 Lab 1
19 Feb - 31 Mar
02 Monday 09:00 - 11:00 Jack Erskine 131 Lab 1
19 Feb - 31 Mar
03 Wednesday 08:00 - 10:00 Jack Erskine 136 Lab 4
19 Feb - 31 Mar
Tutorial A
Activity Day Time Location Weeks
01 Monday 15:00 - 17:00 Jack Erskine 315
22 Apr - 2 Jun
02 Wednesday 08:00 - 10:00 Jack Erskine 235
22 Apr - 2 Jun
03 Monday 09:00 - 11:00 Jack Erskine 315
22 Apr - 2 Jun

Examinations, Quizzes and Formal Tests

Test A
Activity Day Time Location Weeks
01 Wednesday 19:00 - 21:00 Jack Erskine 131 Lab 1
22 Apr - 28 Apr
02 Wednesday 19:00 - 21:00 Jack Erskine 133 Lab 2
22 Apr - 28 Apr
03 Wednesday 19:00 - 21:00 Jack Erskine 134 Lab 3
22 Apr - 28 Apr
04 Wednesday 19:00 - 21:00 Jack Erskine 136 Lab 4
22 Apr - 28 Apr

Course Coordinator

Andreas Willig

Assessment

Assessment Due Date Percentage 
Mid-Term Test 30%
RIP Assignment 27.5%
Flow Assignment 12.5%
Final Exam 30%


Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.

For precise assessment due dates, please refer to the AKO | Learn page.

Textbooks / Resources

Students will be provided with two booklets for the main part of the course.

Additional Course Outline Information

Grade moderation

The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:
1. You must achieve an average grade of at least 50% over all assessment items.
2. You must achieve an average mark of at least 45% on invigilated assessment items.

If you satisfy both these criteria, your grade will be determined by the following University-wide scale for converting marks to grades: an average mark of 50% is sufficient for a C- grade, an average mark of 55% earns a C grade, 60% earns a C+ grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.

Students may apply for special consideration if their performance in an assessment is affected by extenuating circumstances beyond their control.

Applications for special consideration should be submitted via the Examinations Office website within five days of the assessment.

Where an extension may be granted for an assessment, this will be decided by direct application to the Department and an application to the Examinations Office may not be required.

Special consideration is not available for items worth less than 10% of the course.

Students prevented by extenuating circumstances from completing the course after the final date for withdrawing, may apply for special consideration for late discontinuation of the course. Applications must be submitted to the Examinations Office within five days of the end of the main examination period for the semester.

Special Consideration Applications for the Final Exam

Please click HERE for the CSSE Department's policy for the academic remedy of applications for a special consideration for final exams.

Indicative Fees

Domestic fee $942.00

International fee $4,988.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Computer Science and Software Engineering .

All COSC364 Occurrences

  • COSC364-24S1 (C) Semester One 2024