Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF EDUCATION / İMÖ 206 - ELEMENTARY MATHEMATICS EDUCATION

Code: İMÖ 206 Course Title: LINEAR ALGEBRA II Theoretical+Practice: 3+0 ECTS: 5
Year/Semester of Study 2 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department ELEMENTARY MATHEMATICS EDUCATION
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ŞENOL KARTAL (senol.kartal@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
To introduce mathematical structures and operations To be able to use the determinant function and the space, volume calculations, find solutions of linear equation systems, and to be able to use and apply the mathematical knowledge.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 define the concept of determinant and express the theorems about the elementary properties of determinants. PO-12 To be able to assess mathematics improvements using different assesment techniques.
Examination
LO-2 define the inner product and make applications related to inner product PO-13 Being capable of using different evaluation and assessment techniques.
Examination
LO-3 ortagonalite kavramını ve temel özelliklerini tanımlayabilir PO-7 To be able to use mathematical language accurately in their mathematics courses and in planning learning and teaching process.
Examination
LO-4 make applications about least squares method, diagonalization and triangulation PO-10 To be able to use mathematical language accurately in their mathematics courses and in planning learning and teaching process.
Examination
LO-5 explain the concepts of eigenvalues and eigenvectors;express properties of some special matrices PO-1 Having the knowledge of teaching programs, teaching strategies, measurement and assessment methods related to the field
Examination
LO-6 Knows diagonals and matrix operations. PO-12 To be able to assess mathematics improvements using different assesment techniques.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Orthogonality; n The concept of orthogonality and distance function in R, Gram-Schmidt process, orthogonal matrices, least squares and their applications. Determinants; determinants and reduction, solution of linear equations by Cramer's rule. Characteristic equation of a matrix, eigenvectors and eigenvectors, diagonals and matrix operations.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 determinants Lecturing and question solutions
2 Properties of determinant function Lecturing and question solutions
3 Determinants of special matrices Lecturing and question solutions
4 Cramer method in solution of systems of linear equations Lecturing and question solutions
5 Characteristic equation and polynomial of a matrix Lecturing and question solutions
6 Characteristic equation and polynomial of a linear transformation Lecturing and question solutions
7 Eigenvalues-eigenvectors Lecturing and question solutions
8 mid-term exam
9 Diagonalization and matrix operations Lecturing and question solutions
10 Binary linear transformations Lecturing and question solutions
11 Inner-product spaces Lecturing and question solutions
12 Oklid space. Lecturing and question solutions
13 Orthogonality Lecturing and question solutions
14 Orthogonal and Orthonormal bases Lecturing and question solutions
15 Orthogonal matrices. Lecturing and question solutions
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 • Seymour Lipschutz, Marc Lars Lipson, İlker Akkuş, Lineer Cebir, Nobel Akademik Yayıncılık, 2013.
2 • H.Hilmi Hacısalihoğlu (2000) Lineer Cebir I, , Hacısalihoğlu Yayıncılık,
3 • Bernard Kolman; (2004) Elementary Linear Algebra; Fifth Edition,
Required Course instruments and materials
Textbook

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 2 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 5 7 35
       b) Search in internet/Library 5 7 35
       c) Performance Project 0
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 0
Oral Examination 0
Quiz 0
Laboratory exam 0
Own study for mid-term exam 2 7 14
mid-term exam 2 1 2
Own study for final exam 2 7 14
final exam 2 1 2
0
0
Total work load; 144