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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IMO 2004LINEAR ALGEBRA 22 + 04th Semester2

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective The students will get acquainted with the basic notions such as vector spaces, linear dependence, basis, dimension, inner product spaces, linear transformations, eigenvalues and eigenspaces, diagonalization of linear algebra.
Course Content Vector spaces, sub spaces, linear independence, span, basis, dimension. Inner product spaces, orthogonal and orthonormal basis. Linear transformations, the kernel and range of a linear transformation. Eigenvalues and eigenvectors, characteristic polynomials, diagonalization of a matrix.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Show that a set of vectors is a basis for a vector space.
2Find the transition matrix from one basis to another.
3Find a basis for null, row and column space of a matrix.
4Find the rank, nullity, dimension of row and column spaces of a matrix.
5Show that a given formula defines or not an inner product.
6Use the Gram-Schmidt process to constract an orthogonal or orthonormal basis for an inner product space.
7Determine whether a function is a linear transformation.
8Find a basis for the kernel (or range) of a linear transformation.
9Find the eigenvalues and eigenvectors of a matrix.
10Determine whether a given square matrix diagonalizable.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 00144334444454455
LO 00244334444454455
LO 00344334444454455
LO 00444334444454455
LO 00544334444454455
LO 00644334444454455
LO 00744334444454455
LO 00844334444454455
LO 00944334444454455
LO 01044334444454455
Sub Total4040303040404040405040405050
Contribution44334444454455

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)717
Mid-terms177
Final examination11010
Total Work Load

ECTS Credit of the Course






52

2
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1ALİ AYTEKİN
Details 2023-2024 Spring2ALİ AYTEKİN
Details 2022-2023 Spring1NECDET GÜNER
Details 2021-2022 Spring1NECDET GÜNER
Details 2021-2022 Spring2NECDET GÜNER
Details 2020-2021 Spring1NECDET GÜNER
Details 2020-2021 Spring2NECDET GÜNER
Details 2019-2020 Spring1NECDET GÜNER
Details 2019-2020 Spring2NECDET GÜNER


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
IMO 2004 LINEAR ALGEBRA 2 2 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. ALİ AYTEKİN aaytekin@pau.edu.tr EGT A0232-03 %70
Goals The students will get acquainted with the basic notions such as vector spaces, linear dependence, basis, dimension, inner product spaces, linear transformations, eigenvalues and eigenspaces, diagonalization of linear algebra.
Content Vector spaces, sub spaces, linear independence, span, basis, dimension. Inner product spaces, orthogonal and orthonormal basis. Linear transformations, the kernel and range of a linear transformation. Eigenvalues and eigenvectors, characteristic polynomials, diagonalization of a matrix.
Topics
WeeksTopics
1 Vector spaces
2 Sub spaces
3 Sub spaces
4 Linear independence
5 Span, basis, dimension
6 Inner product spaces
7 Inner product spaces
8 Orthogonal and orthonormal basis
9 Linear transformations
10 Linear transformations
11 The kernel and range of a linear transformation
12 Eigenvalues and eigenvectors
13 Characteristic polynomials
14 Diagonalization of a matrix
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