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Information
| Code | ISB402 |
| Name | Stochastic Processes |
| Term | 2024-2025 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | FE Field Education Courses C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. SELAHATTİN KAÇIRANLAR |
| Course Instructor |
1 2 |
Course Goal / Objective
to give the basis of Linear and statistical models
Course Content
Creating the necessary infrastructure throughout undergraduate and graduate education, statistical modeling to be applied in linear models, and drawing and interpreting conclusions from these models constitute the content of this course.
Course Precondition
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Resources
Linear Models Alvin C. Rencher John Wiley 2000
Notes
Linear Models S.R. Searle John Wiley 1971
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the subject of linear modelling. |
| LO02 | Students who attend this course will have the capability of estimation |
| LO03 | Students who attend this course will have the capability of statistical inference |
| LO04 | Distinguish between chi-square distribution, t-distribution and F-distribution. |
| LO05 | Distinguishes the independence of quadratic forms. |
| LO06 | Students who attend this course will have the expectation and variances of quadratic forms |
| LO07 | Explains the issue of matrix representation of full-rank models, estimators of parameters in the model. |
| LO08 | Students who attend this course will have create a common confidence region on the regression coefficients in full-rank models. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 2 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 3 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Matrix algebra | literature review | |
| 2 | orthogonal matrices | literature review | |
| 3 | eigenvalues and eigenvectors | literature review | |
| 4 | Chi square distribution, t-distribution | literature review | |
| 5 | F distribuiton | literature review | |
| 6 | independence of quadratic forms | literature review | |
| 7 | expectation and variances of quadratic forms | literature review | |
| 8 | Mid-Term Exam | literature review | |
| 9 | Matrix representation of full-rank models | literature review | |
| 10 | the estimator of model parameters | literature review | |
| 11 | Estimator of variance in full-rank models | literature review | |
| 12 | confidence intervals of estimators and their functions | literature review | |
| 13 | confidence intervals II | literature review | |
| 14 | Common confidence region on the regression coefficients in full-rank models | literature review | |
| 15 | Common confidence region II | literature review | |
| 16 | Term Exams | literature review | |
| 17 | Term Exams | literature review |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||