COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Analysis of Variance and Design of Experiments * ECMS   408 8 3 3 6

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Hüseyin GÜLER
Instructors
 
Assistants
Goals
It is aimed to bring the knowledge about choosing appropriate experimental design for the research and knowledge about how to apply analysis of variance for the proper design.
Content
One-way experiments and ANOVA table, randomized blocks design, latin and other squares, multi-factor experiments, 2 to the power f and 3 to the power f multi-factor experiments, qualitative and quantitative factors, fixed, random and mixed models, nested experiments, restrictions on randominization.

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explains Econometric concepts
X
2
Acquires basic Mathematics, Statistics and Operation Research concepts
X
3
Equipped with the foundations of Economics, and develops Economic models
4
Describes the necessary concepts of Business
5
Models problems with Mathematics, Statistics, and Econometrics
X
6
Estimates the model consistently and analyzes & interprets its results
X
7
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems
X
8
Collects, edits, and analyzes data
X
9
Uses a package program of Econometrics, Statistics, and Operation Research
10
Effectively works, take responsibility, and the leadership individually or as a member of a team
11
Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study
12
Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied
X
13
Uses Turkish and at least one other foreign language, academically and in the business context
14
Good understanding, interpretation, efficient written and oral expression of the people involved
15
Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development
16
Questions traditional approaches and their implementation while developing alternative study programs when required
X
17
Recognizes and implements social, scientific, and professional ethic values
18
Follows actuality, and interprets the data about economic and social events

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Basic definitions Related chapter of the reference book
2 Single-factor experiments Related chapter of the reference book
3 Single-factor experiments Related chapter of the reference book
4 Single-factor experiments Related chapter of the reference book
5 Single-factor experiments and random blocks design Related chapter of the reference book
6 Latin and other squares for single-factor experiments Related chapter of the reference book
7 Multi-factor experiments Related chapter of the reference book
8 Midterm exam
9 Multi-factor experiments Related chapter of the reference book
10 2 to the power f multi-factor experiments Related chapter of the reference book
11 Qualitative and quantitative factors Related chapter of the reference book
12 3 to the power f multi-factor experiments Related chapter of the reference book
13 Fixed effects, random effects and mixed effects models Related chapter of the reference book
14 Nested and nested multi-factor experiments Related chapter of the reference book
15 Restrictions on randomization for two or more factor experiments Related chapter of the reference book
16-17 Final exam

Recommended or Required Reading
Textbook
Additional Resources