GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
LINEAR ALGEBRA/EKON204
Course Title: LINEAR ALGEBRA
Credits 3 ECTS 8
Semester 4 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  ASSOC. PROF. FURKAN EMİRMAHMUTOĞLU
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/furkan
 -- EMAIL(S) OF LECTURER(S)
  furkan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students can solve the systems of linear equations.
Students can do arithmetic operations with matrices matrix.
Students can obtain the inverse matrix and determinant of matrix
Students can learn the vector space and independency of vectors.
Students can evaluate the eigenvalues and the corresponding eigenvectors of the matrix.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  Bu dersin önkoşulu yada eş koşulu bulunmamaktadır
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Econometrics, statistics and operational research
 --COURSE CONTENT
1. Week  Linear systems of equations
2. Week  Solution of Linear systems of equations with Gauss operations
3. Week  Defination of matrix Linear systems of equations with matrix
4. Week  Matrix operations
5. Week  LU-decompositions of matrices Special matrices The inverse matrix
6. Week  The inverse matrix with using different approaches
7. Week  Problem hour
8. Week  Midterm
9. Week  Determinants
10. Week  Properties of determinant Adjoint matrix
11. Week  Cramer Method
12. Week  Vectors Vector Spaces
13. Week  Vector Spaces Eigenvectors and Eigenvalues
14. Week  Cayley – Hamilton Theorem
15. Week  Problem hour
16. Week  Final exam
 -- RECOMMENDED OR REQUIRED READING
  Bernard Kolman, David, R, Hill, “Uygulamalı lineer Cebir” Prof.Dr.Ömer akın, Palme Yay., 2010
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Pratice
 -- WORK PLACEMENT(S)
  Problem hour
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
0
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
14
2
28
 Reading
11
2
22
 Searching in Internet and Library
14
3
42
 Designing and Applying Materials
14
3
42
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
3
4
12
 Final and Studying for Final
3
4
12
 Other
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.
4Having appropriate behavior of econometrics in the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.
5Having skills about foreign language and information system related to the fields in academic and working life.
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.X
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
13Using some of the basic econometric and statistical software programs.