EKMS408 Analysis of Variance and Design of Experiments

6 ECTS - 3-0 Duration (T+A)- 8. Semester- 3 National Credit

Information

Unit FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
ECONOMETRICS PR.
Code EKMS408
Name Analysis of Variance and Design of Experiments
Term 2018-2019 Academic Year
Semester 8. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. EBRU ÖZGÜR GÜLER
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

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.

Course 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.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Describes the purpose of variance analysis.
LO02 Determines the appropriate experimental design for different situations.
LO03 Applies one-way ANOVA.
LO04 Applies two-way ANOVA.
LO05 Creates ANOVA table for qualitative and quantitative factors.
LO06 Creates ANOVA table for fixed, random and mixed factors.
LO07 Applies ANOVA for nested models.
LO08 Applies ANOVA under restrictions on randomization.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explains Econometric concepts 2
PLO02 - Acquires basic Mathematics, Statistics and Operation Research concepts 5
PLO03 - Equipped with the foundations of Economics, and develops Economic models 0
PLO04 - Describes the necessary concepts of Business 0
PLO05 - Models problems with Mathematics, Statistics, and Econometrics 5
PLO06 - Estimates the model consistently and analyzes & interprets its results 5
PLO07 - Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 4
PLO08 - Collects, edits, and analyzes data 5
PLO09 - Uses a package program of Econometrics, Statistics, and Operation Research 0
PLO10 - Effectively works, take responsibility, and the leadership individually or as a member of a team 0
PLO11 - Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 0
PLO12 - 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 1
PLO13 - Uses Turkish and at least one other foreign language, academically and in the business context 0
PLO14 - Good understanding, interpretation, efficient written and oral expression of the people involved 0
PLO15 - Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 0
PLO16 - Questions traditional approaches and their implementation while developing alternative study programs when required 1
PLO17 - Recognizes and implements social, scientific, and professional ethic values 0
PLO18 - Follows actuality, and interprets the data about economic and social events 0


Week Plan

Week Topic Preparation Methods
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 and random blocks design 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 Mid-Term Exam General review for the 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 Term Exams General review for the final exam
17 Term Exams General review for the final exam


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 01.05.2025 12:16