Istanbul Health and Technology University INFORMATION PACKAGE / COURSE CATALOGUE
| Engineering Management (With Thesis) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course General Introduction Information
| Course Code: | MHY510 | ||||
| Course Name: | Decision Making Techniques in Management | ||||
| Course Semester: | Spring | ||||
| Course Credits: |
|
||||
| Language of instruction: | TR | ||||
| Course Requirement: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Necessary | ||||
| Course Level: |
|
||||
| Mode of Delivery: | Face to face | ||||
| Course Coordinator : | Ar.Gör. HAZAL YAREN YALIRSU | ||||
| Course Lecturer(s): | Prof. Dr. Alp Baray | ||||
| Course Assistants: |
Course Purpose and Content
| Course Objectives: | Introduce statistical concepts and demonstrate their analysis using compatible software tools. |
| Course Content: | Fundamental statistical concepts, data types and measurement scales, descriptive statistics, data summarization through tables and graphs, and an introduction to hypothesis testing. |
Learning Outcomes
|
The students who have succeeded in this course;
1) Comprehending different types of data and measurement scales. 2) Skill in designing and presenting data using tables and graphs. 3) Proficiency in interpreting the outcomes of statistical analyses. 4) Identifying and understanding the connections between statistical concepts |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Statistical foundations and concepts | |
| 2) | Data and Scale Types | |
| 3) | Descriptive statistics (position measurements) | |
| 4) | Descriptive statistics (measures of dispersion) | |
| 5) | Frequency tables | |
| 6) | Cross Tables | |
| 7) | Graphic drawings | |
| 8) | Midterm Exam | |
| 9) | : Box Plot, Extreme Value Analysis | |
| 10) | Single population hypothesis testing | |
| 11) | Chi-square Test of Independence | |
| 12) | Chi-square Test of Independence, quiz | |
| 13) | Correlation analysis | |
| 13) | Correlation analysis | |
| 14) | Final Exam |
Sources
| Course Notes / Textbooks: | • Kazım Özdamar, Paket Programlar İle İstatistiksel Veri Analizi , Nisan Kitabevi, 2015 • Vasfi Nadir Tekin, SPSS Uygulamalı İstatistik Teknikleri, , Seçkin Yayıncılık, 2014 • Hamza Erol, SPSS Paket Programı ile İstatistiksel Veri Analizi, Akademisyen Kitabevi, 2013 |
| References: | • Kazım Özdamar, Paket Programlar İle İstatistiksel Veri Analizi , Nisan Kitabevi, 2015 • Vasfi Nadir Tekin, SPSS Uygulamalı İstatistik Teknikleri, , Seçkin Yayıncılık, 2014 • Hamza Erol, SPSS Paket Programı ile İstatistiksel Veri Analizi, Akademisyen Kitabevi, 2013 |
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Medium | 3 Highest |
| Program Outcomes | Level of Contribution |
Learning Activity and Teaching Methods
Measurement and Evaluation Methods and Criteria
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Presentation | 1 | % 20 |
| Midterms | 1 | % 40 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |