Training Plans

Course Code Course Type ECTS Semester Year Level of Course Unit Mode of Delivery Language of Instruction
1902002072009 Zorunlu 4.00 3 2 0 0 Türkçe

Objectives of the Course

To have students understand data collection, visualization, analyses, synthesis and interpretation

Name of Lecturer(s)

Prof. Dr. Fatih Evrendilek

Prerequisites and co-requisities

None

Recommended Optional Programme Components

None

Course Contents

Recommended or Required Reading

Paket Programlar ile İstatistiksel Veri Analizi Prof. Dr. Kazım Özdamar NİSAN KİTABEVİ

Planned Learning Activities and Teaching Methods

Assessment Methods and Criteria

Term (or Year) Learning Activities Quantity Mean Percentage
Midterm Examination150
Practice1450
TOTAL: 100
End Of Term (or Year) Learning Activities Quantity Mean Percentage
Final Examination1100
TOTAL: 100

Work Placement(s)

None

Workload Calculation

Activities Count Duration (hrs) Total Workload
Practice148.0112.0
Individual Study for Mid term Examination12.02.0
Individual Study for Final Examination12.02.0
TOTAL: 116

Course Weekly Program

week: Activity P L
1Introduction
2statistical concepts
3research designs
4quality control and assurance
5statistical applications and Minitab
6Hypothesis testing and inferential statistics
7t and Z tests
8Correlation matrix analysis
9Regression
10ANOVA
11Minitab practices
12Minitab practices
13Minitab practices
14Minitab practices
15
16

Learning Outcomes & Contribution to Program Outcomes

Learning Outcomes Program Outcomes
1234567891011
Statistical concepts55555555555
Research design55555555555
Statistical analyses55555555555
Minitab applications55555555555

1 Very Low
2Low
3 Medium
4High
5 Very High