Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 4 / Spring Semester | ||||
| Level of Course | 1st 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. 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. To enable students to participate in student congresses. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Students can make research with data in the field of business. |
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-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance. PO-18 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-20 Use research methods and techniques for writing a thesis or doing scientific research. |
Examination Presentation Performance Project |
| LO-2 | They can be equipped with basic applications related to research and 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-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance. PO-18 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. |
Examination Presentation Performance Project |
| LO-3 | Can effectively use statistical package program. |
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-17 Use modern methods and technologies of business administration including analytical thinking and information technology in the first instance. |
Presentation Performance Project |
| 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 | Giving general information about the course content, Introduction of computer aided software in statistics | Representing subjects. Question and answer. Solving problems technique. |
| 2 | Determining the subject of the students in the field of business, Determining the subjects of the students, Creation of student groups, | Representing subjects. Question and answer. Solving problems technique. |
| 3 | Sampling theory and survey method | Representing subjects. Question and answer. Solving problems technique. |
| 4 | ntroducing the statistical package program. Data entry, data definition. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 5 | Graph and table introduction | Forming table and graph. Question and answer. Solving problems technique. Computer application. |
| 6 | Normal distribution Chi-square tests | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 7 | Application of subjects on students' studies | 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 | t test | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 11 | ANOVA. | Representing subjects. Question and answer. Solving problems technique. Computer application. |
| 12 | Preparing students for student congresses | Lecturing and discussion |
| 13 | Correlation coefficient. | Lecturing and discussion Solving problems technique. Computer application. |
| 14 | Regression Analysis. | Lecturing and discussion Solving problems technique. Computer application. |
| 15 | Presentation of student studies | Lecturing and discussion |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | "Paket Programlar ile İstatistiksel Veri Analizi-1", Kazım Özdamar, Kaan Kitabevi, Eskişehir,1997. | |
| 2 | "Bilimsel Araştırma Süreci ve SPSS İle Veri Analizi", Ayhan Ural ve İbrahim Kılıç, Detay Yayıncılık, 2010. | |
| Required Course instruments and materials | ||
| Textbooks, Blackboard, computer and software | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | 15 | 2 | |
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | 10 | 1 | |
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 2 | 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 | 1 | 8 | 8 |
| b) Search in internet/Library | 2 | 14 | 28 |
| c) Performance Project | 3 | 1 | 3 |
| d) Prepare a workshop/Presentation/Report | 1 | 1 | 1 |
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 4 | 5 | 20 |
| mid-term exam | 2 | 1 | 2 |
| Own study for final exam | 4 | 5 | 20 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 132 | ||