Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Fall Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | BUSINESS ADMINISTRATION | ||||
| 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 | |||||
| The aim of this course is to enable students to make the best research in their fields. The aim is to equip students with basic applications related to data and data analysis. To enable students to participate in student congresses. Using statistical package program to analyze data and reporting the results. Students conduct survey research to learn research analysis techniques. Introducing the necessary tools to implement statistical methods and develop further the understanding of assumptions and limitations. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Acknowledge the place and the importance of statistics in the field of social sciences . |
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 Term Paper |
| LO-2 | Using statistical package program to learn data analysis. |
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 Term Paper |
| LO-3 | Learn to conduct statistical methods and to comment solutions. |
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 Term Paper |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Basic Content of Statistics. Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales. Collecting the data methods. Questionnaire survey method. Sampling. Introducing the statistical package program. Data entry, data definition. Graph and table introducing. Confidence intervals. Hypothesis tests. Correlation coefficient. Chi-square analysis. ANOVA. Regression Analysis. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Basic Content of Statistics. | Representing subjects. Question and answer. Solving problems technique. |
| 2 | Subject of statistics and basic concepts: unit, population and variable; definition and kinds of variables, scaling of variables and determination of scales. | Representing subjects. Question and answer. Solving problems technique. |
| 3 | Data collection methods. Questionnaire survey method. Sampling. | Representing subjects. Question and answer. Solving problems technique. |
| 4 | Introducing the statistical package program. Data entry, data definition. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 5 | Plot and table introduction. | Forming table and graph. Question and answer. Solving problems technique. Computer application. |
| 6 | Confidence intervals. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 7 | Confidence intervals. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 8 | mid-term exam | |
| 9 | Hypothesis tests. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 10 | Chi-square analysis. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 11 | Nonparametric tests | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 12 | ANOVA. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 13 | Correlation coefficients. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 14 | Regression Analysis. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 15 | Regression Analysis. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | “Bilimsel Araştırma Süreci ve SPSS İle Veri Analizi” A., URAL, İ., KILIÇ | |
| 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 | 0 |
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | 4 | 2 | 0 |
| 9.Project | |||
| final exam | 1 | 4 | 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 | 3 | 14 | 42 |
| b) Search in internet/Library | 3 | 10 | 30 |
| c) Performance Project | 2 | 4 | 8 |
| d) Prepare a workshop/Presentation/Report | 3 | 1 | 3 |
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 3 | 2 | 6 |
| Own study for mid-term exam | 4 | 7 | 28 |
| mid-term exam | 3 | 1 | 3 |
| Own study for final exam | 2 | 7 | 14 |
| final exam | 4 | 1 | 4 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||