Instıtute Of Graduate Educatıon
Industrıal Engıneerıng Master's Program (Wıth Thesıs)
Course Information
| ENGINEERING APPLICATION OF STOCHASTIC MODELS | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| INE568 | Spring | 3 | 0 | 3 | 7 |
| Prerequisites and co-requisites | |
|---|---|
| Language of instruction | Turkish |
| Type | Elective |
| Level of Course | Master's |
| Lecturer | |
| Mode of Delivery | Face to Face |
| Suggested Subject | |
| Professional practise ( internship ) | None |
| Objectives of the Course | 1.Helping to do research, teach in Business and Industry Statistics and 2. Stochastic Processes application, 3.giving information in order Sciences Applied Mathematics Applied Statistics, 4.Stochastic Behaviour in the Human Decision and teach,5.Business Processes Background About Granted, 6.Research Method. |
| Contents of the Course | Elementary Sampling Theory and Applications, /Elementary Sampling Theory and Applications, /Statistical Estimation Theory and Applications, Statistical Decision Theory, Tests of Hypotesses,Significanse, Small Sampling Theory Introduction of Stochastic Processes, , The Chi-Square Test Ergodic and Regular Markovian Chains ,Absorbtion Markovian Chains, Applications of Markovian Chains at Industry ana Business |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | Ability of data collection and processing for constituting model |
| 2 | To facilitate compliance in team-works. |
| 3 | Ability to solve problems with theoretical and statistical techniques |
| 4 | Ability of the most economical way to process data and ability to comment |
| 5 | To give ability to work in enterprises |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Elementary Sampling Theory and Applications | Lecturing |
| 2 | Elementary Sampling Theory and Applications | Lecturing |
| 3 | Statistical Estimation Theory and Applications | Lecturing |
| 4 | Statistical Estimation Theory and Applications | Lecturing |
| 5 | Statistical Decision Theory, Tests of Hypotesses,Significanse | Lecturing |
| 6 | Statistical Decision Theory, Tests of Hypotesses,Significanse | Lecturing |
| 7 | Small Sampling Theory, The Chi-Square Test | Lecturing |
| 8 | Midterm | Exam |
| 9 | Introduction of Stochastic Processes | Lecturing |
| 10 | Introduction of Stochastic Processes | Lecturing |
| 11 | Ergodic and Regular Markovian Chains | Lecturing |
| 12 | Absorbtion Markovian Chains | Lecturing |
| 13 | Applications of Markovian Chains at Industry ana Business | Lecturing |
| 14 | Applications of Markovian Chains at Industry ana Business | Lecturing |
| 15 | Applications of Markovian Chains at Industry ana Business | Lecturing |
| 16 | Final Exam | Exam |
Course Syllabus
| # | Material / Resources | Information About Resources | Reference / Recommended Resources |
|---|---|---|---|
| 1 | Introduction to Stochastic Processes, 2nd edition (2007) by Gregory F. 2-Schaum'sOutline of Theory and Problems of Statistics ,Fourth Edition ,Murray and Spiegel and Larry J.Stephense ,2007 | ||
| 2 | A First Course in Stochastic Processes. Samuel Karlin –Howard M. Taylor –Academic Pres New York 1975. 2-Stokastik Süreçler Ömer Önalan—Avcıol Basım Yayın 2011. 3-İstatistik Murray R.Spiegel Çevirenler:Prof. Dr. Aydın Ayaydın,Prof.Dr. Münevver Turanlı.Doç.Dr.İsmail Armutlulu,Yrd.Doç.Dr.Şahamet Bülbül.Bilim Teknik |
Method of Assessment
| # | Weight | Work Type | Work Title |
|---|---|---|---|
| 1 | 40% | Mid-Term Exam | Mid-Term Exam |
| 2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # | Learning Outcomes | Program Outcomes | Method of Assessment |
|---|---|---|---|
| 1 | Ability of data collection and processing for constituting model | 1͵3 | 1͵2 |
| 2 | To facilitate compliance in team-works. | 6 | 1͵2 |
| 3 | Ability to solve problems with theoretical and statistical techniques | 2 | 1͵2 |
| 4 | Ability of the most economical way to process data and ability to comment | 1͵3 | 1͵2 |
| 5 | To give ability to work in enterprises | 4 | 1͵2 |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 3 | 42 |
| 2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 4 | 56 |
| 3 | Presentation and Seminar Preparation | 14 | 1 | 14 |
| 4 | Web Research, Library and Archival Work | 14 | 3 | 42 |
| 5 | Document/Information Listing | 1 | 6 | 6 |
| 6 | Workshop | 0 | 0 | 0 |
| 7 | Preparation for Midterm Exam | 0 | 0 | 0 |
| 8 | Midterm Exam | 0 | 0 | 0 |
| 9 | Quiz | 0 | 0 | 0 |
| 10 | Homework | 0 | 0 | 0 |
| 11 | Midterm Project | 0 | 0 | 0 |
| 12 | Midterm Exercise | 0 | 0 | 0 |
| 13 | Final Project | 0 | 0 | 0 |
| 14 | Final Exercise | 1 | 15 | 15 |
| 15 | Preparation for Final Exam | 1 | 4 | 4 |
| 16 | Final Exam | 1 | 1 | 1 |
| 180 | ||||