Study Guide

Objective

After completing the course the student: can calculate vectors and use them in games can describe some of basic concepts of image and video processing and compression can calculate some of basic image processing and compression with Matlab can describe some of basic concepts of applications of artificial intelligence (self-organising maps, genetic algorithms) can describe some of basic concepts of pattern recognition.

Content

applications of vectors in games Matlab programming basic concepts of image processing and image compression motion estimation and compensation video compression with Matlab image processing applications applications of artificial intelligence (self-organising maps, genetic algorithms) basic concepts of pattern recognition

Materials

1. Mathematics For Game Developers, Christopher Tremblay
2. Essential Mathematics for Games & Interactive Applications, James M.Van Verth and Lars M. Bishop

Teaching methods

Teacher-directed classroom activities, group work and independent work; project work, reports, task-based (homework)

International connections

The contents of the course give understanding of the basic gaming and graphical tools, and attempt to provide students with a conceptual understanding of the mathematics needed to create games, as well as an understanding of how these mathematical bases actually apply to games and graphics that are essential in the operating environment of an ICT engineer, such as game development and graphical designing.
The students will team up for a project work and writing reports on some current and relevant aspect of game math. The teams then present their work to the whole group, which gives everyone an opportunity to understand the topic; all students will develop their mathematical proficiency. In this way, all students will have the opportunity to view themselves as powerful learners of game mathematics.
Task-based assessment supports learning and is continuous throughout the course. Studying in an international group develops students’ ability to intercultural communication and multicultural collaboration.

Student workload

Classroom activities: Classroom activities participation 50 h
Homework: Working on homework sets 1-6 25 h
Project work: Research, writing report + presentation material, presentation 30 h
Final exam: Preparing for the final exam 25 h

Content scheduling

September – December 2019.
9/19 - 11/19: theory, homework
10/19 - 11/19: project work +reports
12/19: final exam
• Cartesian Coordinate Systems
• Vectors
• Multiple Coordinate Spaces
• Matrices
• Matrices & Linear Transforms
• More on Matrices
• Polar Coordinate Systems
• Rotation
• Geometric Primitives

Further information

All practical information on timetables, project work, grading etc., as well as links to web materials are provided in Optima.

Evaluation scale

H-5

Assessment methods and criteria

Homework sets 1-6: 30 %
-Total of thirty homework exercises based on reading material and classroom notes
-Diagnostic/formative self / teacher evaluation in connection with each homework set return session
Project work, reports, presentations: 40 %
-Each outcome of the project work is assessed independently (assessment criteria is specified in Optima)
-Peer feedback summative teacher feedback at the end of the course
Final exam: 30 %
-A written exam (1,5 hrs) on specified material
-Summative teacher evaluation at the end of the course