Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

INSTITUTE OF SCIENCE / GM-561 - FOOD ENGINEERING

Code: GM-561 Course Title: STATISTICAL DATA ANALYSIS Theoretical+Practice: 3+0 ECTS: 6
Year/Semester of Study 1 / Fall Semester
Level of Course 2nd Cycle Degree Programme
Type of Course Optional
Department FOOD ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer CEM OKAN ÖZER (cemokanozer@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The teaching of experimental design and planning

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can perform variance analysis with statistical package programs. PO-2 Has the skills of designing, applying and evaluating scientific research
PO-3 Integrates knowledge from different disciplines
Examination
LO-2 can perform statistical analysis with statistical programmes PO-2 Has the skills of designing, applying and evaluating scientific research
PO-3 Integrates knowledge from different disciplines
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Introduction to variance analysis, common experimental design, repeated measurement experiments
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 The principal of experimental planning Lecture Method
2 The principal of experimental planning Lecture Method
3 Preconditions for a variance analysis Lecture Method
4 One-way ANOVA Lecture Method
5 One-way ANOVA Lecture Method
6 The single-factor repeated-measures ANOVA Lecture Method
7 The single-factor repeated-measures ANOVA Lecture Method
8 mid-term exam
9 Multiple comparisons tests Lecture Method
10 Multiple comparisons tests Lecture Method
11 Multiple comparisons tests Lecture Method
12 Two-factor repeated measures ANOVA Lecture Method
13 Two-factor repeated measures ANOVA Lecture Method
14 Two-factor repeated measures ANOVA Lecture Method
15 Two-factor repeated measures ANOVA Lecture Method
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Düzgüneş, O., Kesici, T., Kavuncu, O. ve Gürbüz, F., 1987. Araştırma ve Deneme Metotları (İstatistik Metotları - II) Ankara Üniversitesi, Ziraat Fakültesi Yayınları 1021. Ders Kitabı : 295., Ankara
2 An introduction to statistical methods and data analysis. 1993. R. Lyman OTT, statistical principles in experimental design. 1991. B. J. WINER., Donald. R. BROWN., Kenneth M. MİCHELS.
Required Course instruments and materials

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 7 3 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 14 3 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 0
       b) Search in internet/Library 0
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 5 4 20
mid-term exam 10 5 50
Own study for final exam 7 4 28
final exam 10 5 50
0
0
Total work load; 190