BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| BUSINESS ADMINISTRATION | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| SEN4016 | Multivariate Data Analysis | Spring Fall |
3 | 0 | 3 | 6 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Prof. Dr. MEHMET ALPER TUNGA |
| Recommended Optional Program Components: | None. |
| Course Objectives: | The students will have the ability of applying specific techniques included in multivariate analysis such as principle component analysis, factor analysis, linear regression to specific problems. |
Learning Outcomes
|
The students who have succeeded in this course; 1. Describe multivariate data analysis concepts 2. Define the properties and limitations of PCA and compute PCA through different ways 3. Describe the types of factoring and factor computation 4. Define metric and non-metric scales 5. Describe simple and multiple correspondence analysis and chi squared distances 6. Define variations of MANOVA 7. Evaluate regression coefficients, parameter estimation, hypothesis testing 8. Describe deduction, induction, estimation, tests, correlation 9. Define univariate and multivariate filters |
Course Content
| The course content is composed of principle component analysis (pca), factor analysis, multidimensional scaling, correspondence analysis, multivariate analysis of variance (manova), multiple linear regression, statistical inference, feature subset selection. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Principle Component Analysis (PCA) | |
| 3) | Principle Component Analysis (PCA) | |
| 4) | Factor Analysis | |
| 5) | Factor Analysis | |
| 6) | Multidimensional Scaling | |
| 7) | Correspondence Analysis | |
| 8) | Multivariate Analysis of Variance (MANOVA) | |
| 9) | Multiple Linear Regression | |
| 10) | Multiple Linear Regression | |
| 11) | Statistical Inference | |
| 12) | Statistical Inference | |
| 13) | Feature Subset Selection | |
| 14) | Feature Subset Selection |
Sources
| Course Notes / Textbooks: | Multivariate Data Analysis, 7/E, Joseph F. Hair, Jr, William C. Black, Barry J. Babin, Rolph E. Anderson, Pearson, 2010, 9780138132637 |
| References: | Yok - None. |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 4 | % 20 |
| Homework Assignments | 2 | % 10 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 4 | 5 | 20 |
| Homework Assignments | 2 | 5 | 10 |
| Quizzes | 4 | 3 | 12 |
| Midterms | 1 | 15 | 15 |
| Final | 1 | 17 | 17 |
| Total Workload | 116 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Being able to identify problems and ask right questions | |
| 2) | Having problem solving skills and developing necessary analytical attitude | |
| 3) | Comprehending theoretical arguments along with counter arguments in detail | |
| 4) | Gaining awareness of lifelong learning and being qualified for pursuing graduate education | |
| 5) | Applying theoretical concepts in project planning | |
| 6) | Communicating efficiently by accepting differences and carrying out compatible teamwork | |
| 7) | Increasing efficiency rate in business environment | |
| 8) | Developing innovative and creative solutions in face of uncertainty | |
| 9) | Researching to gather information for understanding current threats and opportunities in business | |
| 10) | Being aware of the effects of globalization on society and business while deciding | |
| 11) | Possessing digital competence and utilizing necessary technology | |
| 12) | Communicating in at least one foreign language in academic and daily life | |
| 13) | Possessing managing skills and competence | |
| 14) | Deciding with the awareness of the legal and ethical consequences of business operations | |
| 15) | Expressing opinions that are built through critical thinking process in business and academic environment |