EDT5012 Statistical Data AnalysisBahçeşehir UniversityDegree Programs CARTOON AND ANIMATIONGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
CARTOON AND ANIMATION
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
EDT5012 Statistical Data Analysis Spring 3 0 3 8
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: Face to face
Course Coordinator : Prof. Dr. ALİ BAYKAL
Course Lecturer(s): Prof. Dr. HASAN KEMAL SUHER
Assoc. Prof. MEHMET SENCER ÇORLU
Prof. Dr. ALİ BAYKAL
Dr. Öğr. Üyesi GURSU ASIK
Recommended Optional Program Components: NONE
Course Objectives: This course will primarily focus on quantitative data analysis. Topics in this course will include descriptive statistics, hypothesis testing, sampling distributions, t-test, ANOVA, and regression. A parallel learning activity will be to learn how to use SPSS (Statistical Package for the Social Sciences) to run the above-mentioned statistical procedures.

Learning Outcomes

The students who have succeeded in this course;
At the end of this course, students will;
o Develop an understanding of the connection between quantitative research types and corresponding statistical analysis types.
o Develop a knowledge base for basic statistical concepts, terms, and principles.
o Develop knowledge of introductory level statistical methods.
o Develop skills to perform statistical analysis for given research types.
o Develop skills to use statistical software to analyze quantitative data.
o Develop knowledge and skills to report quantitative data analysis results.

Course Content

Descriptive statistics; hypothesis testing; sampling distributions; t-test; ANOVA; regression; running these analyses in SPSS and interpreting the output; writing up quantitative data analysis results

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to statistical methods NONE
2) Descriptive statistics Ch. 1 and 2: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
3) Descriptive statistics Ch. 1 and 2: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
4) Normal distribution Ch. 3: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
5) Normal distribution Ch. 3: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
6) Sampling distribution and basic hypothesis testing Ch. 4: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth.
7) Sampling distribution and basic hypothesis testing Ch. 4: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth.
8) Mean comparison of two groups Ch. 7: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 9: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
9) Mean comparison of two groups Ch. 7: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 9: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
10) Mean comparison of three or more groups Ch. 11: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 10: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
11) Mean comparison of three or more groups Ch. 11: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 10: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
12) Simple regression Ch. 9 and 15: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 7: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
13) Simple regression Ch. 9 and 15: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 7: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
14) Writing up data analysis results NONE

Sources

Course Notes / Textbooks: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.

Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth.
References: Cozby, P.C. (2007). Methods in behavioral research (9th ed.). Boston: McGraw Hill.

Pedhazur, E.J. & Schmelkin, L.P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Lawrence Erlbaum Associates.

Salkind, N.J. (2004). Statistics for people who (think they) hate statistics (2nd ed.). London: Sage.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 20
Midterms 2 % 40
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 7 98
Midterms 2 15 30
Final 1 20 20
Total Workload 190

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) To have theoretical and practical knowledge and skills in cartoon and animation.
2) To be able to develop research, observation-experience, evaluation skills in the field of cartoon and animation and effectively communicate ideas, convincing actions and emotions using cartoon and animation and performance principles in every direction.
3) Making animated films with various artistic styles and techniques.
4) Designing the cartoon and animation production process using initiative, applying it with creativity and presenting it with personal style.
5) To be a team member in the production process of cartoon and animations, to be able to take responsibility and manage the team members under their responsibility and to lead them.
6) To be able to evaluate cartoon and animations in the framework of their knowledge and skills.
7) To be able to define and manage learning requirements in the field of cartoon and animation.
8) To be able to communicate with related organizations by sharing scientific and artistic works in cartoon and animation and to share information and skills in the field.
9) To monitor developments in the field of cartoon and animation using foreign languages ​​and to communicate with foreign colleagues.
10) To be able to use general information and communication technologies at advanced level with all kinds of technical tools and computer software used in cartoon and animations.
11) Using critical thinking skills and problem solving strategies in all aspects of development and production, effectively communicating ideas, emotions and intentions visually, verbally and in writing, and effectively incorporating technology in the development of cartoon and animation projects.
12) To have sufficient knowledge about ethical values ​​and universal values ​​in the field of cartoon and animation.