Statistics(VM 522)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| VM 522 | Statistics | 2 | 4 | 0 | 0 | 3 | 8 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | Turkish |
| Course Type | Compulsory |
| Course Level | Masters Degree |
| Course Instructor(s) | Muhammed ULUDAĞ muhammed.uludag@gmail.com (Email) |
| Assistant | |
| Objective | The objective of this course is to familiarize students with basic concepts and tools of statistical methodology |
| Content |
1. Statistics as a tool of decision 2. Statistical series, function of distribution and measures of central tendency 3. Measures of dispersion 4. Probability |
| Course Learning Outcomes |
1. The fundamental tools of statistics 2. Probability 3. Statistical series, distribution function and measures of central tendency 4. Measures of dispersion |
| Teaching and Learning Methods | Analysis and examples |
| References |
Bernard Grais, “Statistique descriptive”,3eme edition, Dunod, Paris. Vincent Giard, "Statistiques Appliquées a la Gestion", Edition Economica,Paris. Paul Newbold, William L.Carlson, Betty Thorne, “Statistics for Business and Economics”, 6th edition, Prentice Hall, Upper Saddle River, New Jersey, 2007 Roger C. Pfaffenberger, James H. Patterson, “Statistical Methods for Business and Economics”, Irwin 2003Business Communication Today |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to Statistics |
| 2 | Statistical series |
| 3 | Graphs to describe numerical variables |
| 4 | Measures of central tendency |
| 5 | Measures of variability |
| 6 | Probability and its postulates |
| 7 | Probability Rules |
| 8 | Midterm exam |
| 9 | Bayes theorem |
| 10 | Random variables, mathematical expectation, variance and standard deviation |
| 11 | Hypergeometric distribution, Binomial distribution |
| 12 | The poisson probability distribution, the normal distribution |
| 13 | Discrete random variables and probability distributions |
| 14 | Continuous random variables and probability distributions |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 2 | 50 |
| Contribution of final exam to overall grade | 1 | 50 |
| Toplam | 3 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 2 | 50 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 0 | 0 |
| Term Paper/ Project | 0 | 0 |
| Portfolio Study | 0 | 0 |
| Reports | 0 | 0 |
| Learning Diary | 0 | 0 |
| Thesis/ Project | 0 | 0 |
| Seminar | 0 | 0 |
| Other | 0 | 0 |
| Toplam | 2 | 50 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 4 | 56 |
| Working Hours out of Class | 7 | 2 | 14 |
| Assignments | 3 | 2 | 6 |
| Midterm Examinations (including preparation) | 2 | 16 | 32 |
| Final Examinations (including preparation) | 1 | 22 | 22 |
| Quiz | 5 | 1 | 5 |
| Total Workload | 135 | ||
| Total Workload / 25 | 5,40 | ||
| Credits ECTS | 5 | ||