BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
AE-MT203Linear Algebra 1Compulsory233
Level of Course Unit
First Cycle
Objectives of the Course
To introduce mathematical structures and operations and to gain the ability to apply them; comprehend basic concepts such as vector, vector space, matrix, matrix space, linear transformation; gain the ability to use and apply the mathematical knowledge learned
Name of Lecturer(s)
Doç.Dr. Tuba AĞIRMAN AYDIN
Learning Outcomes
11. Knows the basic concepts of matrix algebra and can apply basic operations defined on matrices. 2. Understand and apply the solution methods of systems of linear equations. 3. Understand the basic concepts of vector spaces and prove the basic properties of these concepts. 4. explain the concepts of linear independence, basis and dimension 5. can understand the basic concepts of linear transformations and make proofs about the basic properties of these concepts. 6. understand the relationship between linear transformations and matrices
Mode of Delivery
Normal Education
Prerequisites and co-requisities
Recommended Optional Programme Components
no
Course Contents
Systems of linear equations, Matrices, Algebraic properties of matrices, Homogeneous systems, LU decomposition, R ^ 2 and R ^ 3 vectors, real vector spaces, stretching and linear independence, subspaces, base and dimension, solution space, inverse of matrix, coordinate and isomorphism , transition matrices
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1 Matrices systems and solutions of linear equations
2 Matrix Operations
3 Algebraic properties of matrix operations
4 Algebraic properties of matrix operations
5 Inverse of matrices
6 Systems of linear equations and their solutions
7 LU decomposition
8 Midterm
9 Vectors in R ^ 2 and R ^ 3 and introduction to the concept of vector space
10 Subspaces
11 Linear independence
12 Base and Size
13 Homogeneous systems
14 Coordinate and isomorphism
15 Matrix matrices
16 Final exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination1100
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
no
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination212
Attending Lectures339
Self Study326
Individual Study for Mid term Examination7642
Individual Study for Final Examination5630
TOTAL WORKLOAD (hours)90
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
LO1          
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High