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 |