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 | YÖNETİM VE ORGANİZASYON | ||||
| 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 | |||||
| Using statistical package program to analyze data and reporting the results. To introduce the concepts and methods of multivariate statistical analysis and to provide exercises in the application of multivariate data analysis to related problems. Analyzing and interpreting data is important in decision processes under uncertainty. Therefore, under which circumstances multivariate statistical techniques are used, what the assumptions of these techniques and how to interpret the results of these techniques are scopes of this course. This course will help all students to understand and use these advanced techniques who are in need of analyzing data. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Learn data analysis. Learn Application of statistical analysis techniques |
PO-7 Be able to make use of other disciplines that form the basis for Management-Organization policies and have advanced knowledge about these disciplines. PO-14 The student gains ability to solve the problems faced in business using the appropriate software and the easily adapts to the new solution methods and software. PO-19 Students will be able to research, analyze and interpret scientific knowledge about management and organization activities. |
Examination Presentation Term Paper |
| LO-2 | Analyze and interpret multivariate data analysis |
PO-7 Be able to make use of other disciplines that form the basis for Management-Organization policies and have advanced knowledge about these disciplines. PO-14 The student gains ability to solve the problems faced in business using the appropriate software and the easily adapts to the new solution methods and software. PO-19 Students will be able to research, analyze and interpret scientific knowledge about management and organization activities. |
Examination Presentation Term Paper |
| LO-3 | Identify, formulate and solve real life problems |
PO-7 Be able to make use of other disciplines that form the basis for Management-Organization policies and have advanced knowledge about these disciplines. PO-14 The student gains ability to solve the problems faced in business using the appropriate software and the easily adapts to the new solution methods and software. PO-19 Students will be able to research, analyze and interpret scientific knowledge about management and organization activities. |
Examination Presentation Term Paper |
| LO-4 | Understand local and global effects of Statistics and its applications |
PO-7 Be able to make use of other disciplines that form the basis for Management-Organization policies and have advanced knowledge about these disciplines. PO-14 The student gains ability to solve the problems faced in business using the appropriate software and the easily adapts to the new solution methods and software. PO-19 Students will be able to research, analyze and interpret scientific knowledge about management and organization activities. |
Examination Presentation Term Paper |
| LO-5 | Usage of statistical package program and software knowledge to solve real life problems |
PO-7 Be able to make use of other disciplines that form the basis for Management-Organization policies and have advanced knowledge about these disciplines. PO-14 The student gains ability to solve the problems faced in business using the appropriate software and the easily adapts to the new solution methods and software. PO-19 Students will be able to research, analyze and interpret scientific knowledge about management and organization activities. |
Examination Presentation Term Paper |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Subject of statistics and sampling techniques, data anlysis, multivariate data analysis and its application areas, measurement scales, normal distribution, variance analysis, multivariate variance analysis, cluster analysis, discriminant analysis, factor analysis, multidimensional scaling, panel data analysis, panel regression analysis | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Statistics in surveys and sampling teory | Lecture |
| 2 | Data analysis | Lecture - Computer application |
| 3 | Parametric tests | Lecture - Computer application |
| 4 | Variance analysis | Lecture - Computer application |
| 5 | Investigating normal distribution | Lecture - Computer application |
| 6 | Correlation coefficients, Regression analysis | Lecture - Computer application |
| 7 | Non-parametric analysis | Lecture - Computer application |
| 8 | mid-term exam | |
| 9 | Factor analysis | Lecture - Computer application |
| 10 | Cluster analysis | Lecture - Computer application |
| 11 | Multidimensional scaling | Lecture - Computer application |
| 12 | Panel data analysis Panel regression analysis | Lecture - Computer application |
| 13 | Panel data analysis Panel regression analysis | Lecture - Computer application |
| 14 | Data envelopment Analysis | Lecture - Computer application |
| 15 | Student presentations | Excam |
| 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 | |||
| 4.Presentation | 1 | 1 | 10 |
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | 13 | 2 | 10 |
| 9.Project | |||
| final exam | 15 | 2 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 5 | 6 | 30 |
| b) Search in internet/Library | 10 | 6 | 60 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 2 | 1 | 2 |
| e) Term paper/Project | 3 | 1 | 3 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 2 | 7 | 14 |
| mid-term exam | 2 | 1 | 2 |
| Own study for final exam | 5 | 7 | 35 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 190 | ||