Advanced Statistical Modeling(IND 522)
| Course Code | Course Name | Semester | Theory | Practice | Lab | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| IND 522 | Advanced Statistical Modeling | 1 | 3 | 0 | 0 | 3 | 6 |
| Prerequisites | |
| Admission Requirements |
| Language of Instruction | English |
| Course Type | Compulsory |
| Course Level | Masters Degree |
| Course Instructor(s) | H. ZİYA ULUKAN zulukan@gsu.edu.tr (Email) |
| Assistant | |
| Objective | This advanced course in inferential statistics emphasizes the practical application of statistical analysis. Instruction includes an examination of the role of statistics in research; understanding statistical terminology; use of appropriate statistical techniques; and interpretation of findings in the fields of engineering. |
| Content | Topics include graphing and tabulation of data, hypothesis testing for small and large samples, chi-squared, statistical quality control, analysis of variance (ANOVA), regression, correlation, and decision making under uncertainty.Topics combines intermediate and advanced statistical methods with practical research applications |
| Course Learning Outcomes | At the conclusion of this course, the student should possess the ability to perform required statistical analyses for virtually any univariate application in a business / industrial setting. |
| Teaching and Learning Methods | Direct |
| References |
Understanding and Using Advanced Statistics: A Practical Guide for Students, Jeremy J Foster, Emma Barkus, Christian Yavorsky, Sage pub., 2006 Advanced Statistics, Jain, T.R. ,, Aggarval, S.C., Statistics: Methods and Applications : a Comprehensive Reference for Science, Industry, and Data Mining, Statsoft, 2006. |
Theory Topics
| Week | Weekly Contents |
|---|---|
| 1 | Introduction to Advanced Statistical Modeling |
| 2 | Sampling and Survey Techniques |
| 3 | Estimation and inferences |
| 4 | Hypothesis testing |
| 5 | The Design & Analysis of Factorial Experiments for 2 Factors - Model I Applications |
| 6 | The Design & Analysis of Factorial Experiments for 2 Factors - Model II Applications |
| 7 | The Design & Analysis of Factorial Experiments for 2 Factors - Model III Applications |
| 8 | Midterm |
| 9 | Linear Regression Analysis I |
| 10 | Linear Regression Analysis II |
| 11 | Linear Regression Analysis III |
| 12 | Linear Regression Analysis IV |
| 13 | Multiple Regression Analysis I |
| 14 | Multiple Regression Analysis II |
Practice Topics
| Week | Weekly Contents |
|---|
Contribution to Overall Grade
| Number | Contribution | |
|---|---|---|
| Contribution of in-term studies to overall grade | 4 | 60 |
| Contribution of final exam to overall grade | 1 | 40 |
| Toplam | 5 | 100 |
In-Term Studies
| Number | Contribution | |
|---|---|---|
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Midterm Examinations (including preparation) | 1 | 30 |
| Project | 0 | 0 |
| Laboratory | 0 | 0 |
| Other Applications | 0 | 0 |
| Quiz | 3 | 30 |
| 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 | 4 | 60 |
| No | Program Learning Outcomes | Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | X | |||||
| 2 | X | |||||
| 3 | X | |||||
| 4 | X | |||||
| 5 | X | |||||
| 6 | X | |||||
| 7 | X | |||||
| 8 | X | |||||
| 9 | X | |||||
| 10 | X | |||||
| 11 | X | |||||
| 12 | X | |||||
| Activities | Number | Period | Total Workload |
|---|---|---|---|
| Class Hours | 14 | 3 | 42 |
| Working Hours out of Class | 13 | 5 | 65 |
| Midterm Examinations (including preparation) | 1 | 10 | 10 |
| Final Examinations (including preparation) | 1 | 15 | 15 |
| Quiz | 3 | 14 | 42 |
| Total Workload | 174 | ||
| Total Workload / 25 | 6.96 | ||
| Credits ECTS | 7 | ||