ECTS - Computer Games and Simulation

Computer Games and Simulation (CMPE376) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Computer Games and Simulation CMPE376 2 2 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is the design and implementation of interactive, rapidly executable and visually attractive game development.
Course Learning Outcomes The students who succeeded in this course;
  • Design and implement computer games
  • Discuss related concepts of computer science such as simulation, artificial intelligence, and human computer interaction
  • Explore game theory for the development of computer games
  • Apply the basic principles of usability in the field of human computer interaction
  • Apply knowledge of related concepts of computer science and basic sciences (physics, mathematics etc.) to computer games
Course Content History of games and current trends in games, the main concepts on game design and development, evaluating commercial games; main game design issues; creating simulations; using artificial intelligence in games; using physics and mathematics in games; main computer graphics concepts used in games; human computer interaction concepts for developing

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 History of games and current trends in games Other Sources: 4
2 Main concepts on game design and development Chapter 19 (main text)
3 Evaluating commercial games Other Sources: 1 Chapter 4
4 Main game design issues Chapter 15, 16, 17
5 Creating simulations Other Sources: 3 Chapter 1-3
6 Using artificial intelligence in games Other Sources: 8
7 Using physics and mathematics in games Chapter 7
8 Main computer graphics concepts used in games Other Sources: 3 Chapter 6-8
9 Human Computer Interaction concepts for developing a game Other Sources: 1 Chapter 6
10 Game Engines and game development Other Sources: 5,6,8,9
11 Animations Chapter 6
12 Algorithms and techniques used in games Chapter 8
13 Algorithms and techniques used in games Chapter 9
14 Algorithms and techniques used in games Chapter 11

Sources

Course Book 1. Software Engineering and Computer Games, Rudy Rucker, Addison Wesley, Pearson Education, 2003.
Other Sources 2. Game Design Perspectives François Dominic Laramee, Charles River Media, 2002.
3. Game Architecture and Design, Andrew Rollings, Dave Morris. Coriolis, 2000.
4. 3D Games, real-time rendering and software technology, Watt, A., Policarpo, F., Addison Wisley, 2001.
5. http://historicgames.com/gamestimeline.html
6. http://nehe.gamedev.net/
7. http://www.opengl.org/documentation/specs/version1.1/glspec1.1/node1.html
10. Rouse III, R. (2010). Game design: Theory and practice. Jones & Bartlett Learning.
11. https://unity3d.com/
12. http://en.wikipedia.org/wiki/List_of_game_engines
13. AI for game developers, Bourg, D., Seemann, G. OReilly, 2004

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 10
Presentation - -
Project 1 30
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 20
Toplam 6 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and subjects specific to the computer engineering discipline; the ability to apply theoretical and practical knowledge of these areas to complex engineering problems. X
2 The ability to identify, define, formulate and solve complex engineering problems; selecting and applying proper analysis and modeling techniques for this purpose. X
3 The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4 The ability to develop, select and utilize modern techniques and tools essential for the analysis and determination of complex problems in computer engineering applications; the ability to utilize information technologies effectively. X
5 The ability to design experiments, conduct experiments, gather data, analyze and interpret results for the investigation of complex engineering problems or research topics specific to the computer engineering discipline.
6 The ability to work effectively in inter/inner disciplinary teams; ability to work individually
7 Effective oral and writen communication skills in Turkish; the knowledge of at least one foreign language; the ability to write effective reports and comprehend written reports, to prepare design and production reports, to make effective presentations, to give and to receive clear and understandable instructions.
8 Recognition of the need for lifelong learning; the ability to access information, to follow recent developments in science and technology.
9 The ability to behave according to ethical principles, awareness of professional and ethical responsibility; knowledge of the standards utilized in computer engineering applications.
10 Knowledge on business practices such as project management, risk management and change management; awareness about entrepreneurship, innovation; knowledge on sustainable development.
11 Knowledge on the effects of computer engineering applications on the universal and social dimensions of health, environment and safety; awareness of the legal consequences of engineering solutions.
12 An ability to describe, analyze and design digital computing and representation systems.
13 An ability to use appropriate computer engineering concepts and programming languages in solving computing problems.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 2 32
Laboratory 1 15 15
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project 1 10 10
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15
Total Workload 124