• Offered by School of Computing
  • ANU College ANU College of Engineering Computing & Cybernetics
  • Course subject Computer Science
  • Academic career PGRD
  • Course convener
    • Prof Lexing Xie
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2024
    See Future Offerings

Computational Methods for Network Science covers the essentials of using computational approaches to pose and answer social science research problems. In doing so it also covers a selected set of network algorithms in depth. This includes random graph models, homophily and friendship paradox, influence and contagion in networks, markets and network games, network resilence. Furthermore, it also teaches students about the ethics of doing data-driven social science research.
The course equips the students with in-depth knowledge and hands-on experience in working with network data to study social processes at both the individual and aggregate levels. Graduates will be equipped with the technical, theoretical and conceptual skills and knowledge to start a budding career in this field of research.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Demonstrate a thorough understanding of the fundamental principles of using computational approaches to formulate and answer social science questions.
  2. Demonstrate a working understanding in the ethical concerns of data drive analysis and experiments in human behavior.
  3. Apply network analysis algorithms in practical contexts.
  4. Analyze results from network algorithms, and articulate their limitations.
  5. Migrate insights from network analysis and simulation into new data and application scenarios.
  6. Communicate the process of formulating and solving computational social science problems to a team of professionals with computing and/or social sciences.

Indicative Assessment

  1. Assignments (40) [LO null]
  2. Project (40) [LO null]
  3. Final Examination (20) [LO null]

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Up to 60 hours of total face-time, which includes interactions with lectures and tutors. Up to 60 hours of total preparation, repeat, assignment and practical exercise time.

Inherent Requirements

Information on inherent requirements are currently not available.

Requisite and Incompatibility

To enrol in this course you must have completed COMP6670; OR (6 units of either COMP6710 or COMP6730 or COMP7230) and (either COMP8410 or COMP8910) and STAT6039. Incompatible with COMP4880 and COMP8980.

Prescribed Texts

Not required


Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2024 $4980
International fee paying students
Year Fee
2024 $6360
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

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The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
4233 19 Feb 2024 26 Feb 2024 05 Apr 2024 24 May 2024 In Person View

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