Nevşehir Hacı Bektaş Veli University Course Catalogue
|
|||||
| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 3rd Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | GASTRONOMY AND CULINARY ARTS (DOCTORATE DEGREE) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | BEKİR BORA DEDEOĞLU (b.bora.dedeoglu@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-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems. PO-6 Gastronomy and Culinary Arts with the ability to evaluate information in a critical way. PO-7 Gastronomy and Culinary Arts in the field of applications of social, scientific and ethical values to have the competence to see. |
Examination Laboratory Exam Presentation |
| LO-2 | design and conduct experiments as well as to analyze and interpret data |
PO-1 Develops and deepens the knowledge and skills of Gastronomy and Culinary Arts and related disciplines at the level of expertise. PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems. PO-7 Gastronomy and Culinary Arts in the field of applications of social, scientific and ethical values to have the competence to see. |
Examination Laboratory Exam Presentation |
| LO-3 | identify, formulate and solve real life problems |
PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems. PO-7 Gastronomy and Culinary Arts in the field of applications of social, scientific and ethical values to have the competence to see. PO-3 Have professional techniques and practices related to Gastronomy and Culinary Arts activities. |
Examination Laboratory Exam Presentation |
| LO-4 | Usage of statistical package program and software knowledge to solve real life problems |
PO-2 Gastronomy and Culinary Arts in the field of businesses to analyze the problems and have the ability to solve problems. PO-6 Gastronomy and Culinary Arts with the ability to evaluate information in a critical way. PO-7 Gastronomy and Culinary Arts in the field of applications of social, scientific and ethical values to have the competence to see. |
Examination Laboratory Exam |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
|||
| 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 | Data analysis and types | Representing subjects. Question and answer. Solving problems technique. |
| 2 | Descriptive Statistics Normal Distribution Assumption | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 3 | Factor Analysis Reliability Analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 4 | t-tests (Independent two-sample t-test, Dependent two-sample t-test, One-sample t-test) | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 5 | One-way and factorial analysis of variance | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 6 | Non-parametric tests | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 7 | Quiz 1 | Question and answer. Computer application. |
| 8 | mid-term exam | |
| 9 | One-way and factorial multivariate analysis of variance | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 10 | Covariance and multivariate covariance analysis | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 11 | Correlation, Regression (Linear and multiple linear) | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 12 | Application of regression analysis with mediating variable (Mediation Model) | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 13 | Applying regression analysis with moderating variable (Moderation Model) | Question and answer. Computer application. Student presentation. |
| 14 | Quiz 2 | Question and answer. Computer application. |
| 15 | Quiz 3 | Question and answer. Computer application. |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Hair, J. D., Anderson, R. E., Tatham, R. L. ve Black, W. C., (2010). Multivariate Data Analysis (7th Ed.). New Jersey: Pearson Education, Inc | |
| 2 | Kalaycı, Ş. (2008). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikler. Asil Yayın Dağıtım: Ankara. | |
| 3 | Altunışık, R., Coşkun, R., Bayraktaroğlu, S. ve Yıldırım, E. (2007). Sosyal Bilimlerde Araştırma Yöntemleri. Sakarya: Sakarya Yayıncılık | |
| Required Course instruments and materials | ||
| 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 | 3 | |
| 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 | 0 | ||
| b) Search in internet/Library | 3 | 10 | 30 |
| c) Performance Project | 2 | 8 | 16 |
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 3 | 1 | 3 |
| Oral Examination | 4 | 1 | 4 |
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 2 | 6 |
| mid-term exam | 5 | 7 | 35 |
| Own study for final exam | 5 | 7 | 35 |
| final exam | 3 | 1 | 3 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||