COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Stochastic Processes * ISB   402 8 3 3 4

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction Turkish
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Deniz ÜNAL ÖZPALAMUTCU
Instructors
Doç. Dr.DENİZ ÜNAL ÖZPALAMUTCU1. Öğretim Grup:A
Doç. Dr.DENİZ ÜNAL ÖZPALAMUTCU2. Öğretim Grup:A
 
Assistants
Goals
to give the basis of Linear and statistical models
Content
to give the basis of Linear and statistical models

Learning Outcomes
-


Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
6
Utilize computer systems and softwares
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
X
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
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
X
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Matrix algebra literature review
2 orthogonal matrices literature review
3 inverse of matrices literature review
4 Chi square distribution, t-distribution, F distribuiton, literature review
5 Chi square distribution, t-distribution, 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 full rank models literature review
10 matrices for full rank models literature review
11 estimation for full rank models literature review
12 full rank models literature review
13 full rank models, confidence intervals literature review
14 regression coefficients for full rank models literature review
15 regression coefficients for full rank models literature review
16-17 Term Exams literature review

Recommended or Required Reading
Textbook
Additional Resources