COURSE UNIT TITLE

: INTRODUCTION TO LINEAR ALGEBRA

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MAT 2001 INTRODUCTION TO LINEAR ALGEBRA COMPULSORY 4 0 0 7

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SALAHATTIN ÖZDEMIR

Offered to

Statistics
Statistics(Evening)

Course Objective

The course aims at introducing students to the fundamental concepts of linear algebra, linear systems of equations, matrices, matrix algebra, determinants, vectors in n dimension and vector spaces, four fundamental spaces of a matrix, linear transformations and modern applications

Learning Outcomes of the Course Unit

1   1. be able to solve linear systems of equations.
2   2. be able to apply determinant and its properties
3   3. be able to understand vector algebra in n dimensional real space.
4   4. be able to determine linear dependence and linear independence.
5   5. be able to find fundamental subspaces of a matrix.
6   6. be able to apply linear transformations.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Systems of Linear Equations.
2 Row Echelon Form
3 Matrix Arithmetic, Matrix Algebra
4 Elementary Matrices - Quiz-1
5 The Determinant of a Matrix
6 Properties of Determinants, Cramer's Rule.
7 Vector Spaces, subspaces, Row Space and Column Space
8 Linear Independence Basis and Dimension - Midterm
9 Linear Independence Basis and Dimension, Change of Basis
10 Linear Transformations
11 Matrix Representations of Linear Transformations
12 Eigenvalues and Eigenvectors - Quiz-2
13 Similarity
14 Scientific Applications; geometry, statistics, computers.

Recomended or Required Reading

Textbook(s): Steven J. Leon, Linear Algebra with Applications, 9th edition, Pearson Education, 2015.

Supplementary Book(s): References: D. C. Lay, Linear Algebra and Its Applications, 4th edition, Pearson Education, 2010.
H. Anton, C. Rorres, Elementary Linear Algebra with Applications 11th ed. Wiley 2014.

Materials: Lecture Notes.

Planned Learning Activities and Teaching Methods

Lecture notes.
Problem solving.
Presentations.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 QUZ QUIZ
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Quizes
Midterm Exam
Final Exam

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Ofis: B351/1 (Math. Dept.)
Tel: 0232 301 86 08
E-mail: salahattin.ozdemir@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 4 56
Preparations before/after weekly lectures 14 3 42
Preparation for midterm exam 1 20 20
Preparation for final exam 1 30 30
Preparation for quiz etc. 2 15 30
Midterm 1 2 2
Final 1 2 2
Quiz etc. 2 1 2
TOTAL WORKLOAD (hours) 184

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.1543434
LO.2543434
LO.3543434
LO.4543434
LO.5443333
LO.6543545

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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