FACULTY OF ENGINEERING

Department of Mechatronics Engineering

SE 352 | Course Introduction and Application Information

Course Name
Network Programming in Computer Games
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 352
Fall/Spring
3
0
3
5

Prerequisites
None
Course Language
English
Course Type
Service Course
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to introduce students with the concepts of network programming, and give them hands on experience on programming multi player and massively multiplayer games. The topics in this lecture include: introduction to network layers, TCP and UDP socket programming, adhoc style one to one games programming, one to many games programming and game servers, issues in networked graphics, consistency, latency, scalability, security and compression algorithms.
Learning Outcomes The students who succeeded in this course;
  • Students will be able to know how to use network sockets
  • Students will be able to know how to program one to one games
  • Students will be able to know how to progam one to many games
  • Students will be able to know how to achieve consistency and security in multiplayer games
  • Students will be able to know how to solve latency and scalability problems in computer games
Course Description In this course, students learn the theoretical aspects of networking in computer games and practically implement these algorithms in their own multiplayer computer games.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction Course book Ch.1
2 Socket programming Lecture slides
3 One to one games Course book Ch.2
4 Project meeting
5 One to many games Course book Ch.4
6 Issues in networked graphics Course book Ch.5
7 Consistency Course book Ch.11
8 Latency Course book Ch.11
9 Presentations
10 Scalability Course book Ch.12
11 Compression Course book Ch.13
12 Project meeting
13 Cheating and security Lecture slides
14 Storing online data Lecture slides
15 Project presentations
16 Review of the Semester

 

Course Notes/Textbooks

Networked graphics: Building networked games and virtual environments. Anthony Steed, Manuel Fradinho Oliveira. Morgan Kaufmann, ISBN 0123744237

Suggested Readings/Materials

Course presentation & Internet sources

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
1
40
Project
1
60
Seminar / Workshop
Oral Exams
Midterm
Final Exam
Total

Weighting of Semester Activities on the Final Grade
2
100
Weighting of End-of-Semester Activities on the Final Grade
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
2
32
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
1
25
25
Project
1
45
45
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
0
    Total
150

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems

2

To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose.

3

To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose.

4

To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively.

5

To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems.

6

To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both in oral and written forms; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; information on standards used in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1)

12

To be able to use the second foreign language at intermediate level.

13

To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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