Part A: Course Overview
Course Title: Games and Artificial Intelligence Techniques
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
COSC3144 |
City Campus |
Postgraduate |
175H Computing Technologies |
Face-to-Face |
Sem 1 2025 |
Course Coordinator: Edouard Amouroux and Dr. Timothy Wiley
Course Coordinator Phone: +61 3 9925
Course Coordinator Email: Edouard.Amouroux4@rmit.edu.au and Timothy.Wiley@rmit.edu.au
Pre-requisite Courses and Assumed Knowledge and Capabilities
Enforced Pre-requisite courses
Successful completion of the following course/s:
- COSC3119 Algorithms and Analysis (Course ID: 056579) or
- COSC1285/2203 Algorithms and Analysis (Course ID: 004302) or
- COSC1295 Advanced Programming (Course ID: 004316).
Note: it is a condition of enrolment at RMIT that you accept responsibility for ensuring that you have completed the prerequisite/s and agree to concurrently enrol in co-requisite courses before enrolling in a course.
For your information go to RMIT Course Requisites webpage.
If you have completed prior studies at RMIT or another institution that developed the skills and knowledge covered in the above course/s you may be eligible to apply for credit transfer. Alternatively, if you have prior relevant work experience that developed the skills and knowledge covered in the above course/s you may be eligible for recognition of prior learning.
Please follow the link for further information on how to apply for credit for prior study or experience.
Course Description
This course is an advanced seminar-style course involving a substantial practical component, developing a Computer Game incorporating Artificial Intelligence Techniques. You will be guided through readings and subject content each week by the course leader(s). You are required to have a laptop capable of running the latest “LTS” version of Unity.
Topics include both theoretical topics in selected artificial intelligence techniques pertinent to game implementation, as well as practical tools for implementing those techniques. You will use such tools and techniques to build a specified interactive game over the course of the semester, incorporating intelligent behaviours into the game. This course involves a significant level of self-learning (C#, Unity, game design, etc.) and hence it suited to more advanced students.
Objectives/Learning Outcomes/Capability Development
Program Learning Outcomes
This course is an option course so it is not required to contribute to the development of program learning outcomes (PLOs) though it may assist your achievement of several PLOs.
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
- Demonstrate an understanding of various AI techniques and tools and how they are applied in the context of games programming;
- Design and develop a gaming application, based on existing games engines or platforms;
- Work effectively in a team environment to develop a complex software system.
Overview of Learning Activities
You will be actively engaged in a range of learning activities such as:
- classes run by academic staff, to introduce you to the key concepts and tools required for successful completion of the programming project;
- tutorials and/or labs and/or group discussions (including face-to-face and online forums) focused on projects and problem solving, providing feedback on progress and understanding, and used to discuss technical issues;
- regular consultation with an assigned project supervisor (i.e. a staff member), providing guidance with learning activities, feedback on progress, and help with resolving any issues;
- assignment deliverables, as described in Overview of Assessment and Assessment Tasks, designed to develop and demonstrate the practical aspects of the learning outcomes;
- private and group study, for working through readings and gaining practice at solving conceptual and technical problems.
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course.
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
Overview of Assessment
Assessment Tasks
Assessment 1: Programming assignment
Weighting: 30%
This assessment task supports CLOs : 1 and 2
Assessment 2: Programming assignment
Weighting: 30%
This assessment task supports CLOs : 1 and 2
Assessment 3: Programming assignment
Weighting: 40%
This assessment task supports CLOs : 1 and 3
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.