Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 3 / Fall 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.To enable students to participate in student congresses. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Students can make the best research 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-13 It helps the students model their decision-making problem about life using the linear programming techniques, solve the simplex and transportation problems and interpret the outcomes in terms of technical and economical. 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. |
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. PO-20 Use research methods and techniques for writing a thesis or doing scientific research. PO-22 Follow the developments in science, knowledge and communication technologies by increased awareness of life-long learning which purposes continuity in education and training. |
Presentation Performance Project |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Dimensions of research in the field of business, Determining research topics with students within the scope of business, Creation of student groups, Gathering information and data on the research subject, Analysis of data and reporting by interpreting data, Participating in student congresses with research work prepared within the scope of the course, Presentation of the prepared research work in the seminar hall. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Explaining the scope of the course, Learning business field research methods | Lecturing and discussion |
| 2 | Determining the subject of the students in the field of business, Determining the subjects of the students, Creation of student groups, Conducting a survey | Lecturing and discussion, |
| 3 | Giving information about research methods for determined subjects Survey form data entry Learning data entry of survey | Lecturing, discussion and computer application |
| 4 | Creating tables and drawing graphs | Lecturing, discussion and computer application |
| 5 | Giving information about statistical tests | Lecturing anddiscussion |
| 6 | Chi-square tests | Lecturing, discussion and computer application |
| 7 | Application of tests on student studies | Lecturing, discussion and computer application |
| 8 | mid-term exam | |
| 9 | Parametric tests - t test | Lecturing, discussion and computer application |
| 10 | Parametric tests - Analaysis of variance test | Lecturing, discussion and computer application |
| 11 | Parametric tests - Analaysis of variance test | Lecturing, discussion and computer application |
| 12 | Parametrik olmayan testler | Lecturing, discussion and computer application |
| 13 | Cluster Analysis | Lecturing, discussion and computer application |
| 14 | Preparing students for student congresses | Lecturing, discussion and computer application |
| 15 | Presentation of student studies | Lecturing and discussion |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Hardy, M. & Alan Bryman, 2014. The hand book of Data Analysis, Sage publications Inc.California 91320 | |
| 2 | Provost, F. & Tom Fawcett, 2013. Data Science for Business, O’Reilly Media Inc. CA, 95472. | |
| Required Course instruments and materials | ||
| Reference books, blackboard, computer and statistical 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 | 2 | |
| 5.Report | 1 | 2 | |
| 6.Workshop | 1 | 1 | |
| 7.Performance Project | 1 | 1 | |
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 1 | 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 | 4 | 4 | 16 |
| b) Search in internet/Library | 4 | 4 | 16 |
| c) Performance Project | 3 | 4 | 12 |
| d) Prepare a workshop/Presentation/Report | 2 | 1 | 2 |
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 2 | 4 | 8 |
| mid-term exam | 2 | 1 | 2 |
| Own study for final exam | 4 | 4 | 16 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 122 | ||