Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | BUSINESS ADMINISTRATION (MASTER'S DEGREE PROGRAMME WITHOUT THESIS) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | AYLİN ALKAYA (aylin@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| To introduce the concepts and methods of multivariate analysis and to provide exercises in the application of multivariate data analysis to related problems.. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Apply knowledge of Multivariate Statistics . |
PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance PO-16 Have the ability to work with disciplinary and interdisciplinary teams; to be open to change and innovation, to be entrepreneur, to gain life-long learning; to have leadership qualities and to make analytical communication with managers and specialists in other fields. PO-18 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination Laboratory Exam Presentation |
| LO-2 | design and conduct experiments as well as to analyze and interpret data |
PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance PO-16 Have the ability to work with disciplinary and interdisciplinary teams; to be open to change and innovation, to be entrepreneur, to gain life-long learning; to have leadership qualities and to make analytical communication with managers and specialists in other fields. PO-18 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination Laboratory Exam Presentation |
| LO-3 | identify, formulate and solve real life problems |
PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance PO-16 Have the ability to work with disciplinary and interdisciplinary teams; to be open to change and innovation, to be entrepreneur, to gain life-long learning; to have leadership qualities and to make analytical communication with managers and specialists in other fields. PO-18 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination Laboratory Exam Presentation |
| LO-4 | understand local and global effects of Statistics and its applications |
PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance PO-16 Have the ability to work with disciplinary and interdisciplinary teams; to be open to change and innovation, to be entrepreneur, to gain life-long learning; to have leadership qualities and to make analytical communication with managers and specialists in other fields. PO-18 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination Laboratory Exam Presentation |
| LO-5 | Usage of statistical package program and software knowledge to solve real life problems |
PO-12 Become skilful at maths, econometrics and statistics, making more effective decisions with econometric and statistical analysis. Furthermore, they are capable of predicting the outcomes of these decisions and interpreting the cause and effect relation. PO-15 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance PO-16 Have the ability to work with disciplinary and interdisciplinary teams; to be open to change and innovation, to be entrepreneur, to gain life-long learning; to have leadership qualities and to make analytical communication with managers and specialists in other fields. PO-18 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination Laboratory Exam Presentation |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Multivariate data analysis and its application areas, data matrices and measurement scales, the multivariate normal distribution (MND), inferences about a mean vector, comparisons of several multivariate means, cluster analysis, discriminant analysis, logistic regression analysis, Principal component and factor analysis, Canonical correlation, multidimensional scaling. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Statistics and multivariate data analysis and its application areas | Representing subjects. Question and answer. Solving problems technique. |
| 2 | data matrices and measurement scales | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 3 | the multivariate normal distribution | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 4 | multivariate hypothesis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 5 | logistic regression analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 6 | Principal component analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 7 | cluster analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 8 | mid-term exam | |
| 9 | discriminant analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 10 | factor analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 11 | correspondence analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 12 | multidimensional scaling | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 13 | Student presentation | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 14 | Student presentation | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 15 | Student presentation | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Tatlıdil H., "Çok Değişkenli İstatistiksel Analiz Teknikleri". | |
| 2 | “SPSS Uygulamalı Çok Değişkenli İstatistik Teknikler” Editör: Doç. Dr. Şeref KALAYCI | |
| 3 | “Paket Programlar ile İstatistiksek Veri Analizi-I” Prof. Dr. Kazım ÖZDAMAR | |
| Required Course instruments and materials | ||
| Textbook, Blackboard, computer and software | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 1 | 2 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | 2 | 2 | |
| 4.Presentation | 3 | 3 | |
| 5.Report | 1 | 2 | |
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 1 | 3 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 16 | 48 |
| Outside Class | |||
| a) Reading | 2 | 10 | 20 |
| b) Search in internet/Library | 2 | 9 | 18 |
| c) Performance Project | 3 | 14 | 42 |
| d) Prepare a workshop/Presentation/Report | 2 | 1 | 2 |
| e) Term paper/Project | 4 | 1 | 4 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 2 | 1 | 2 |
| Own study for mid-term exam | 3 | 5 | 15 |
| mid-term exam | 2 | 1 | 2 |
| Own study for final exam | 4 | 6 | 24 |
| final exam | 3 | 1 | 3 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||