BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| PERFORMING ARTS | |||||
| 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) | They acquire theoretical, historical and aesthetic knowledge specific to their field by using methods and techniques related to performing arts (acting, dance, music, etc.). | 2 |
| 2) | They have knowledge about art culture and aesthetics and they provide the unity of theory and practice in their field. | 2 |
| 3) | They are aware of national and international values in performing arts. | 2 |
| 4) | Abstract and concrete concepts of performing arts; can transform it into creative thinking, innovative and original works. | 1 |
| 5) | They have the sensitivity to run a business successfully in their field. | 3 |
| 6) | Develops the ability to perceive, think, design and implement multidimensional from local to universal. | 3 |
| 7) | They have knowledge about the disciplines that the performing arts field is related to and can evaluate the interaction of the sub-disciplines within their field. | 2 |
| 8) | They develop the ability to perceive, design, and apply multidimensionality by having knowledge about artistic criticism methods. | 3 |
| 9) | They can share original works related to their field with the society and evaluate their results and question their own work by using critical methods. | 1 |
| 10) | They follow English language resources related to their field and can communicate with foreign colleagues in their field. | 1 |
| 11) | By becoming aware of national and international values in the field of performing arts, they can transform abstract and concrete concepts into creative thinking, innovative and original works. | 3 |
| 12) | They can produce original works within the framework of an interdisciplinary understanding of art. | 2 |
| 13) | Within the framework of the Performing Arts Program and the units within it, they become individuals who are equipped to take part in the universal platform in their field. | 3 |
| 14) | Within the Performing Arts Program, according to the field of study; have competent technical knowledge in the field of acting and musical theater. | 2 |
| 15) | They use information and communication technologies together with computer software that is at least at the Advanced Level of the European Computer Use License as required by the field. | 3 |