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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAT 237LINEAR ALGEBRA3 + 01st Semester4,5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective A the students with fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations.
Course Content Matrices, linear system equations, Vector spaces, Determinants, Basis- dimension, row and column spaces.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1LİNEER CEBİR

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14228
Assignments21020
Mid-terms11212
Final examination11515
Total Work Load

ECTS Credit of the Course






117

4,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall3SERPİL HALICI
Details 2020-2021 Fall4CANAN CELEP YÜCEL


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MAT 237 LINEAR ALGEBRA 3 + 0 3 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. SERPİL HALICI shalici@pau.edu.tr MUH B0023 %70
Goals A the students with fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations.
Content Matrices, linear system equations, Vector spaces, Determinants, Basis- dimension, row and column spaces.
Topics
WeeksTopics
1 Basic Informations
2 Matrices
3 Special Matrices
4 Relations including special Matrices
5 Trace of square matrices and inverse matrices
6 Elementary operations and Elementary Matrices
7 Inverse of MAtrices by Elementary operations
8 Determinants
9 Sarrus rule and Adjoint of a matrix
10 Permanents
11 Linear Equation Systems and matrices
12 Criters about the existence of solutions of linear equation systems
13 Solution methods of linear equation systems
14 Vector spaces, subspaces
Materials
Materials are not specified.
Resources
ResourcesResources Language
Doğrusal Cebir, Cemal Koç ve Songül Esin, ODTÜ yayınları, ANKARATürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Midterm Exam50Midterm Exam
Final Exam50Final Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes