GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MATRIX THEORY IN STATISTICS/MAT2046
Course Title: MATRIX THEORY IN STATISTICS
Credits 4 ECTS 5
Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Understanding Matrices and matrix operations, some special matrices and inverse matrices
Elementary row-column operations and applications, determinants and their properties, applications of the determinant
Systems of linear equations and their solutions, Methods of solving systems of linear equations definition and properties of vector spaces
Examples of vector spaces sub-vector spaces
Linear dependence and independence, Base and dimensions concepts and base form
The coordinates of a vector of vectors, inner product
Norm eigenvalues and eigenvectors of a matrix
Understanding the generalized inverse

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Matrices and matrix operations
2. Week  Some special matrices and inverse matrices
3. Week  Elementary row-column operations and applications
4. Week  Determinants and their properties
5. Week  Applications of the determinant
6. Week  Systems of linear equations and their solutions
7. Week  Methods of solving systems of linear equations
8. Week  Definition and properties of vector spaces, Midterm
9. Week  Examples of vector spaces
10. Week  Sub-vector spaces, linear dependence and independence
11. Week  Base and dimensions concepts and base form
12. Week  The coordinates of a vector of vectors, inner product and norm
13. Week  Eigenvalues and eigenvectors of a matrix
14. Week  Generalized inverse
15. Week  Final exam
16. Week  --
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
2
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
1
10
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
4
56
 Weekly Tutorial Hours
0
 Reading Tasks
5
2
10
 Searching in Internet and Library
5
2
10
 Material Design and Implementation
0
 Report Preparing
1
5
5
 Preparing a Presentation
1
7
7
 Presentation
1
7
7
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
125
 TOTAL WORKLOAD / 25: 
5
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Naim TUĞLU)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/naimtuglu)
 -- EMAIL(S) OF LECTURER(S)
   (naimtuglu@gazi.edu.tr)