Course Name Code Semester T+U Hours Credit ECTS
Quantitative Data Analysis YBS 364 6 1 + 1 2 5
Precondition Courses Statistics and Business Applications
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Prof.Dr. AYKUT HAMİT TURAN
Course Lecturers Prof.Dr. AYKUT HAMİT TURAN,
Course Assistants
Course Category
Course Objective To learn science, hypothesis, theory concepts and quantitative anlysis techniques, work with survey instrument, transfer the data to SPSS environemnt, run variety of analysis and evaluate them
Course Content
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Be able to understand scientific inquiry and scientific process Lecture, Question-Answer, Testing, Homework,
2 basics of SPSS Lecture, Question-Answer, Testing, Homework,
3 Be able to know descriptive Statistics Lecture, Question-Answer, Testing, Homework,
4 Be able to do data organization and preperation in SPSS Lecture, Question-Answer, Self Study, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Overall evaluation of the course and meeting
2 Scientific inqury and scientific research process
3 Scientific research process
4 Enterence to SPSS
5 Basic statistics
6 Data preperation in SPSS
7 Investigate relations among variables in SPSS
8 Mid Term
9 Hypothesis Tests – Parametric Hypothesis tests
10 Non parametric hypothesis tests
11 Variance Analysis
12 Regression Analysis
13 Factor Analysis
14 Discriminant and Cluster Analysis
Course Notes
Course Resources Kalaycı, Şeref, SPSS Uygulamlaı Çok değişkenli İstatisitik Teknikler, Asil Yayın Dağıtım, 2. Baskı 2006.
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Can follow new and current technologies and evaluate them X
2 Can understand the operation of Corporate Information Systems and use these systems at a basic level X
3 Constructs numerical models of basic business problems. X
4 Solves modeled business problems with the help of information technologies and interprets the solutions X
5 Contributes to informatics oriented projects as a member of the team X
6 Effectively uses information technology tools that support teamwork in project management. X
7 Master basic business functions and information technologies and establishes the link between them X
8 Contributes to the design, development and implementation processes of corporate information systems. X
9 Can produce and present quality documentation for all kinds of projects, including entrepreneurship projects. X
10 Prepares informative, effective and interesting presentations and presents these presentations. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Kısa Sınav 15
1. Ödev 15
1. Proje / Tasarım 30
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 3 3
Quiz 1 2 2
Assignment 1 3 3
Oral Examination 1 2 2
Project / Design 1 3 3
Final examination 1 3 3
Total Workload 128
Total Workload / 25 (Hours) 5.12
dersAKTSKredisi 5