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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAT 207LINEAR ALGEBRA - I3 + 23rd Semester8

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The aim of this course is to study the systems of linear equations by means of matrix approximation.
Course Content Vectors in Rn and Cn , Linear Equations, Matrices, Vector Spaces and Subspaces, Basis and Dimensions, Linear Mapping, Matrix Representations of Linear Mapping.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns the vectors on Rn and Cn, learns the summation and product of a vector with a scalar.
2Learns the lnear equations and solution methods of linear equation systems.
3Learns the matrices and matrix operations, solves the system of linear equations by the help of the matrices.
4Learns the vector spaces and Subspaces.
5Learns the concept of the base, dimensio and base of a vector space.
6Realizes the linear transformations.
7Learns the impressons oflinear transformations by matrices and makes the operations with matrices.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 001     5    
LO 002     4    
LO 003 4   4    
LO 004 4   4    
LO 005  5       
LO 006     5    
LO 007 3   4    
Sub Total 115  26    
Contribution0210040000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14570
Mid-terms16262
Final examination17676
Total Work Load

ECTS Credit of the Course






208

8
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1MUSTAFA AŞCI


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MAT 207 LINEAR ALGEBRA - I 3 + 2 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. MUSTAFA AŞCI masci@pau.edu.tr FEN A0216 %70
Goals The aim of this course is to study the systems of linear equations by means of matrix approximation.
Content Vectors in Rn and Cn , Linear Equations, Matrices, Vector Spaces and Subspaces, Basis and Dimensions, Linear Mapping, Matrix Representations of Linear Mapping.
Topics
WeeksTopics
1 Vectors in Rn and Cn
2 Linear Equation and Systems of Linear Equations
3 Systems of Homogen Equations
4 Matrices
5 Matrices and Systems of Linear Equations
6 Vectors Spaces and Subspaces
7 Row and Column Spaces of Matrice
8 Basec and Dimensions
9 Midterm Exam
10 Coordinates
11 Linear Mappins
12 Algebra of Linear Mappins
13 Matrix Representations of Linear Mappins
14 Equivalent Matrices
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes