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 | NURİ ÖZGÜR DOĞAN (nodogan@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| Students with this course; The aim of this course is to gain the ability to analyze the collected data with the correct statistical methods. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Know and apply decision analysis concepts and problems. |
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 |
Examination |
| LO-2 | It has knowledge about multi-criteria decision making 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-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 |
Examination |
| LO-3 | Analyze with SPSS 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. |
Examination |
| LO-4 | Use statistical methods. |
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 |
Examination |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Definitions related to Data Analysis (Research, Problem, Hypothesis, Data, Variable, Scale, Statistical Analysis Methods according to Data Type Data Reclassification (Conversions), Data Entry in SPSS (Raw Data Entry, Frequency and Cross-Table Data Entry) SPSS ' Te frequency and cross tables, one-way variance analysis multiple comparison tests One way analysis of variance in SPSS | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Definitions related to data analysis (Research, Problem, Hypothesis, Data, Variable, Scale, Statistical Analysis Methods by Data Type, Redefining Data (Conversions) | Teaching |
| 2 | Data Entry in SPSS and Frequency and Creation of Cross Tables in SPSS | Teaching |
| 3 | Calculation of Descriptive Statistics in SPSS | Teaching |
| 4 | Calculation of Descriptive Statistics in SPSS | Teaching |
| 5 | Graphics | Teaching |
| 6 | Hypothesis testing | Teaching |
| 7 | Hypothesis testing | Teaching |
| 8 | mid-term exam | |
| 9 | Chi-Square Analysis | Teaching |
| 10 | Chi-Square Analysis | Teaching |
| 11 | Chi-Square Analysis in SPSS | Teaching |
| 12 | Chi-Square Analysis in SPSS | Teaching |
| 13 | Regression Analysis | Teaching |
| 14 | Data Envelopment Analysis | Teaching |
| 15 | Data Envelopment Analysis | Teaching |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Linear Programming for Decision Making. Anderson, D.R., D.J. Sweeney, and T.A.Williams St Paul, Minn | |
| Required Course instruments and materials | ||
| "D.R.Cox and E.J.Snell, 1981: Applied Statistics; Principles and Examples: Second Edition, London, Newyork". "SPSS Advanced 6.1: Marija J. Norusis / SPSS Inc., 1994, Chicago." | ||
| 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 | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 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 | 14 | 42 |
| Outside Class | |||
| a) Reading | 5 | 14 | 70 |
| b) Search in internet/Library | 3 | 10 | 30 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 5 | 15 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 3 | 4 | 12 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 171 | ||