Course Title: Games and Artificial Intelligence Techniques

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)

COSC2527

City Campus

Undergraduate

140H Computer Science & Information Technology

Face-to-Face

Sem 2 2011,
Sem 2 2012,
Sem 1 2013,
Sem 2 2014,
Sem 2 2015

COSC2527

City Campus

Undergraduate

171H School of Science

Face-to-Face

Sem 1 2018,
Sem 2 2019,
Sem 2 2020,
Sem 1 2021

COSC2527

City Campus

Undergraduate

175H Computing Technologies

Face-to-Face

Sem 1 2022,
Sem 1 2023,
Sem 1 2024

COSC2528

City Campus

Postgraduate

140H Computer Science & Information Technology

Face-to-Face

Sem 2 2011,
Sem 1 2013,
Sem 2 2014,
Sem 2 2015

COSC2528

City Campus

Postgraduate

171H School of Science

Face-to-Face

Sem 1 2018,
Sem 2 2019,
Sem 2 2020,
Sem 1 2021

COSC2528

City Campus

Postgraduate

175H Computing Technologies

Face-to-Face

Sem 1 2022,
Sem 1 2023,
Sem 1 2024

COSC2997

RMIT University Vietnam

Postgraduate

175H Computing Technologies

Face-to-Face

Viet3 2024

Course Coordinator: Dr. Michael Dann

Course Coordinator Phone: +61 3 9925 8963

Course Coordinator Email: michael.dann@rmit.edu.au

Course Coordinator Location: 14.08.07B


Pre-requisite Courses and Assumed Knowledge and Capabilities

Enforced Pre-requisite courses

Successful completion of:

COSC2123/COSC1285/COSC2469/COSC2203 - Algorithms and Analysis (Course ID 004302)
OR
COSC1295 - Advanced Programming (Course ID 004316)
OR
COSC1076/COSC2082 - Advanced Programming Techniques (Course ID 004068)
OR
COSC2391/COSC2440 - Further Programming (Course ID 014052)
OR
COSC2802 - Programming Bootcamp 2 (Course ID 054080)
OR
COSC2800 - IT Studio 2 (Course ID 054075)
OR
COSC3056 - Programming Studio 1 (Course ID 054081)

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.


Course Description

This course is an advanced seminar-style course involving a substantial practical component, developing a Computer Game incorporating Artificial Intelligence Techniques. Students will be guided through readings and subject content each week by the course leader(s). Topics include both theoretical topics in selected artificial intelligence techniques pertinent to game implementation, as well as practical tools implementing those techniques. Students 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 lot of self-learning and hence it suited to more advanced students.


Objectives/Learning Outcomes/Capability Development

This course contributes to the program learning outcomes:

  1. Apply various AI techniques and tools in the context of games programming;
  2. Design and develop a gaming application, based on existing games engines or platforms;
  3. Contribute effectively in a team environment to develop a complex software system.

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:

  1. Demonstrate an understanding of various AI techniques and tools and how they are applied in the context of games programming;
  2. Design and develop a gaming application, based on existing games engines or platforms;
  3. 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, andthrough 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

The course involves a substantial practical component, involving game-programming techniques and integration of tools implementing artificial intelligence techniques. The final programming assignment will be performed in teams and students will be required to submit a breakdown of tasks carried out by each team member.

Assessment Tasks

Assessment 1: Programming assignment (individual)
Weighting: 30%
This assessment task supports CLOs : 1 and 2

Assessment 2: Programming assignment (individual)
Weighting: 30%
This assessment task supports CLOs : 1 and 2

Assessment 3: Programming assignment (team)
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.