Notices

  • Welcome to Week 3

    Posted by Gustavo Batista Monday 15 June 2026, 02:15:52 PM.

    Dear students,

    WebCMS has been updated with the following:

    - Week 2 Tutorial answers
    - Quiz 2 questions
    - Quiz 1 answers
    - Assignment 1 description and datasets.

    Assignment 1 is now available and is due on Sunday, July 5th, at 6:00 pm. You can work on it individually or with a partner (max. two students per group).

    Good luck, and let me know if you have any questions.

    Regards,
    Gustavo.

  • Welcome to Week 2

    Posted by Gustavo Batista Monday 08 June 2026, 11:51:28 AM.

    Dear students,

    The course materials for this week are now available on WebCMS. You will find the following items:

    • Week 2 Tutorial
    • Week 1 Tutorial Answers
    • Quiz 1

    Starting this week, we will have a weekly multiple-choice quiz . Please submit your answers by Sunday at 6 PM. Multiple submissions are allowed, but late submissions will not be accepted .

    You can access the quizzes via the Activities menu on WebCMS.

    I will hold consultation hours on Mondays, 2- 3 p.m on J17 510L. This is my office, and I will need to open the door for you as it requires swipe access. Simply send me a message on Teams to let me know you are coming or have arrived. An exception is this week as today is a holiday.

    Regards,

    Gustavo.

  • Welcome to COMP9418

    Posted by Gustavo Batista Monday 01 June 2026, 09:22:02 AM.

    Dear students,

    Welcome to COMP9418!

    I look forward to seeing you at our inaugural lecture on Wednesday, where I’ll explain the course structure, expectations, and logistics.

    In the meantime, I’d like to highlight some optional preparatory materials available on our course website: https://webcms3.cse.unsw.edu.au/COMP9418/26T2/

    These materials review foundational topics in:

    • Computer Science : graphs, including traversal, cycles, and minimum spanning trees
    • Statistics : basic probability concepts and probabilistic reasoning

    Since most students have encountered this content before, it’s not required. However, if you’d like a refresher, you may find the following resources helpful (under the Week 0 section):

    • Videos on propositional logic and probability (https://webcms3.cse.unsw.edu.au/COMP9418/26T2/resources/122959)
    • Graph exercises tutorial (https://webcms3.cse.unsw.edu.au/COMP9418/26T2/resources/122887)

    In Week 1, we’ll begin with Bayesian Networks —a simple yet powerful and interpretable model. Tutorials will introduce key ideas in probability and start building a Python library that you’ll use throughout the course assignments.

    We hope you enjoy the course and look forward to working with you!

    Best regards,

    Gustavo

    (on behalf of the COMP9418 teaching team)

Upcoming Due Dates

  • Quiz 2
    Sunday 21 June 2026, 06:00:00 PM

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