1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF TECHNOLOGY
  3. AUTOMOTIVE ENGINEERING DEPARTMENT
  4. 177 AUTOMOTIVE ENGINEERING
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAT 235LINEAR ALGEBRA2 + 22nd Semester4

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

COURSE LEARNING OUTCOMES
1-

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 001           
Sub Total           
Contribution00000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14456
Hours for off-the-classroom study (Pre-study, practice)14228
Assignments7214
Mid-terms133
Final examination133
Total Work Load

ECTS Credit of the Course





104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1SERDAR HALİS


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MAT 235 LINEAR ALGEBRA 2 + 2 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. SERDAR HALİS shalis@pau.edu.tr TEK A0003 %70
Goals Teaching the fundamental mathematical concepts like vectors, vector spaces, matrices and linear transformations to students.
Content Matrices, Determinants, linear system equations, Vector spaces, Basis- dimension, row and column spaces, Eigenvalue, Eigenvector, Diagonalization.
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 Solutions of homogen linear equations
Materials
Materials are not specified.
Resources
ResourcesResources Language
Kolman, B., Hill, D., Uygulamalı Lineer Cebir, Palme Yayıncılık, Çev. Ed. Ömer Akın, (2016).Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes