Information Package / Course Catalogue - Adnan Menderes University

General Information Unit Staff Academic Information Programme Outcomes Course Structure Diagram Contact Information

Person Responsible for Information Package

Applications of Linear Algebra With Matlab

Course Code	: MAT408
Course Type	: Area Elective
Couse Group	: First Cycle (Bachelor's Degree)
Education Language	: Turkish
Work Placement	: N/A

Theory	: 3
Prt.	: 0
Credit	: 3
Lab	: 0
ECTS	: 6

Objectives of the Course

The aim of this course is to solve the basic problems students encounter in linear algebra using MATLAB. Especially in the case of approximate value problems, the necessity of using the program in case that there is a lot of data in linear equations is emerged.

Course Content

Linear equation systems, n-dimensional vector spaces, Basic MATLAB informations, Elementary matrix operations, Matrix representations on MATLAB, Quadratic forms, Eigenvalues and eigenvectors, Further linear algebra with MATLAB, Solutions of linear equation systems with MATLAB, Derivatives of vector and matrix.

Name of Lecturer(s)

Learning Outcomes

1.	Know the logic of the equation system.
2.	Know vector concept.
3.	Find approximate values with MATLAB program.
4.	Further programs are provided for convenience.
5.	Creating data in the MATLAB program.
6.	Selecting a base for any vector space.
7.	Custom solutions depending on the random parameter.
8.	Getting to know the group with MATLAB by using matrix representation of groups.

Recommended or Required Reading

1.	Linear Algebra and Introduction to MATLAB, Sabine Eschenhof.
2.	Linear Algebra with Applications, Steven J. LeonMaxwell Macmillian, Canada, 1994.

Weekly Detailed Course Contents

Week 1 - Theoretical

Introduction to programming, algorithms, algorithm types and flow diagrams

Week 2 - Theoretical

General features of the Python programming language, Python development environments

Week 3 - Theoretical

Structure of Python language, variable definition, assignment operations, operators, Data types

Week 4 - Theoretical

Input-Output commands, Basic display commands

Week 5 - Theoretical

Decision structures

Week 6 - Theoretical

Metered loop structures

Week 7 - Theoretical

Conditional loop structures and loop exit instructions

Week 8 - Theoretical

Array structures

Week 9 - Theoretical

Midterm

Week 10 - Theoretical

Subprogram structure and functions in programming languages

Week 11 - Theoretical

Use of parameters in subprograms and functions

Week 12 - Theoretical

Modules

Week 13 - Theoretical

Errors and exceptions

Week 14 - Theoretical

File concept in programming languages, use of text-type files

Week 15 - Theoretical

File concept in programming languages, use of text-type files

Assessment Methods and Criteria

Type of Assessment	Count	Percent
Assignment	1	%5
Term Assignment	1	%5
Midterm Examination	1	%30
Final Examination	1	%60

Workload Calculation

Activities	Count	Preparation	Time	Total Work Load (hours)
Lecture - Theory	14	0	3	42
Assignment	1	6	2	8
Term Project	1	6	2	8
Individual Work	14	0	3	42
Midterm Examination	1	18	2	20
Final Examination	1	28	2	30
TOTAL WORKLOAD (hours)				150

Contribution of Learning Outcomes to Programme Outcomes

	PÇ-1	PÇ-2	PÇ-3	PÇ-4	PÇ-5	PÇ-6	PÇ-7	PÇ-8	PÇ-9	PÇ-10	PÇ-11	PÇ-12	PÇ-13	PÇ-14	PÇ-15	PÇ-16	PÇ-17	PÇ-18
OÇ-1	4				4			5	4	4					5	4	5	4
OÇ-2	4				4				4	4
OÇ-3	4							5	4	5					5	4	5	5
OÇ-4								5							4	4	5	5
OÇ-5										5
OÇ-6	4								4	4
OÇ-7	4								4	4
OÇ-8	4				4			5	5	4

Person Responsible for Information Package