DIGITAL GAME DESIGN
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ECO2062	Applied Statistics	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Hybrid
Course Coordinator :	Dr. Öğr. Üyesi SERKAN YEŞİLYURT
Course Lecturer(s):	Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. İPEK ALTINBAŞAK FARİNA
Recommended Optional Program Components:	None
Course Objectives:	To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics

Learning Outcomes

The students who have succeeded in this course;
1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion

2. To construct and interpret confidence interval estimates for the mean and the proportion

3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion

4. How to use hypothesis testing for comparing the difference between the means and proportion of populations

5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations

6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation

7. How to use regression analysis to investigate the relationship between variables.

Course Content

Sampling and Sampling Distributions

Sampling Distribution Properties

Point and Interval Estimates
Confidence Interval for population mean

Confidence Intervals for the
Population Proportion, π
Fundamentals of Hypothesis Testing: One-Sample Tests
Hypothesis Testing for Mean and Proportion
Two-Sample Tests for Mean

Two-Sample Tests for Proportion

One-Way Analysis of Variance

Two-Way Analysis of Variance

Chi-Square Tests and Nonparametric Tests

Introduction to Simple Linear Regression

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Sampling and Sampling Distributions
2)	Point and Interval Estimates
3)	Sampling Distribution Properties
4)	Confidence Interval for population mean
5)	Confidence Intervals for the Population Proportion, π
6)	Fundamentals of Hypothesis Testing: One-Sample Tests
7)	Hypothesis Testing for Mean and Proportion
8)	Review
9)	Two-Sample Tests for Mean
10)	Two-Sample Tests for Proportion
11)	Analysis of Variance
12)	Chi-Square Tests and Nonparametric Tests
13)	Introduction to Simple Linear Regression
14)	Review

Sources

Course Notes / Textbooks:	Basic Business Statistics Concepts and Applications Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal.
References:	.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	4	% 20
Midterms	1	% 35
Final	1	% 45
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 55
PERCENTAGE OF FINAL WORK		% 45
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	16	3	48
Study Hours Out of Class	14	7	98
Midterms	1	2	2
Final	1	2	2
Total Workload			150

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Comprehend the conceptual importance of the game in the field of communication, ability to implement the player centered application to provide design.
2)	Analyze, synthesize, and evaluate information and ideas from various perspectives.
3)	Analyze the key elements that make up specific game genres, forms of interactions, mode of narratives and understand how they are employed effectively to create a successful game.
4)	Understand game design theories and methods as well as implement them during game development; to make enjoyable, attractive, instructional and immersive according to the target audience.
5)	Understand the technology and computational principles involved in developing games and master the use of game engines.
6)	Understand the process of creation and use of 2D and 3D assets and animation for video games.
7)	Understand and master the theories and methodologies of understanding and measuring player experience and utilize them during game development process.
8)	Comprehend and master how ideas, concepts and topics are conveyed via games followed by the utilization of these aspects during the development process.
9)	Manage the game design and development process employing complete documentation; following the full game production pipeline via documentation.
10)	Understand and employ the structure and work modes of game development teams; comprehend the responsibilities of team members and collaborations between them while utilizing this knowledge in practice.
11)	Understand the process of game publishing within industry standards besides development and utilize this knowledge practice.
12)	Pitching a video game to developers, publishers, and players; mastering the art of effectively communicating and marketing the features and commercial potential of new ideas, concepts or games.