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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS CSC 5005 MATLAB PROGRAMMING WITH APPLICATIONS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR ÇAĞIN KANDEMIR ÇAVAŞ

Offered to

Computer Science Ph.D. in Computer Science

Course Objective

The aim of this course is to give students Matlab® programming skills for technical computing.

Learning Outcomes of the Course Unit

1   In this course students should be able to learn MATLAB platform. 2   Learn how to manage with arrays in MATLAB. 3   Be able to create function files, plots and script files. 4   Learn how to program in MATLAB by using relational and logical operators. 5   Be able to use MATLAB in order to solve problems that includes polynomials, curve fitting and interpolation.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Starting MATLAB 1.1. Working in the command window 1.2. Arithmetic operations with scalers 1.3. Display formats 1.4. Elementary math built-in functions 1.5. Defining scalar variables 1.6. Useful commands for managing variables 1.7. Examples of MATLAB applications 2 Starting MATLAB 1.1. Working in the command window 1.2. Arithmetic operations with scalers 1.3. Display formats 1.4. Elementary math built-in functions 1.5. Defining scalar variables 1.6. Useful commands for managing variables 1.7. Examples of MATLAB applications 3 Creating Arrays 3.1. Creating a one-dimensional array (Vector) 3.2. Creating a two-dimensional array (Matrix) 3.3. Variables in MATLAB 3.4. Adding elements 3.5. Deleting elements 3.6. Strings and strings as variables 4 Creating Arrays 3.1. Creating a one-dimensional array (Vector) 3.2. Creating a two-dimensional array (Matrix) 3.3. Variables in MATLAB 3.4. Adding elements 3.5. Deleting elements 3.6. Strings and strings as variables 5 Mathematical Operations with Arrays 6 Script Files 6.1. Creating and saving a script file 6.2. Running a script file 6.3. Input to a script file 6.4. Output commands 6.5. Importing and exporting data 7 Two-Dimensional Plots 7.1. The plot command 7.2. The fplot command 7.3. Plotting multiple graphs in the same plot 7.4. Formatting a plot 7.5. Plots with logarithmic axes 7.6. Plots with special graphics 7.7. Histograms 8 Mid-term examination 9 Functions and Functions Files 9.1. Creating a function file 9.2. Structure a function file 9.3. Local and Global variables 9.4. feval command 10 Programming in MATLAB 10.1. Relational and locigal operators 10.2. Conditional statements 10.3. The switch-case statement 10.4. Loops 10.5. Nested Loops and nested conditional statement 10.6. The break and continue commands 11 Programming in MATLAB 10.1. Relational and locigal operators 10.2. Conditional statements 10.3. The switch-case statement 10.4. Loops 10.5. Nested Loops and nested conditional statement 10.6. The break and continue commands 12 Polynomials, Curve Fitting, and Interpolation 13 Polynomials, Curve Fitting, and Interpolation 14 General overview 15 Final Examination

Recomended or Required Reading

II. TEXTBOOK: Amos Gilat. Matlab: An Introduction with Applications, Wiley, 2005. REFERENCE BOOKS : Delores M. Etter. Introduction to MATLAB (2nd Edition), Prentice Hall, 2010.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and application format. All class members are expected to attend and both the lecture and seminar hours and take part in the application sessions.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 FIN FINAL EXAM 3 FCG FINAL COURSE GRADE MTE * 0.40 + FIN * 0.60 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Mid Term: 40% Final Exam: 60%

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

cagin.kandemir@deu.edu.tr

Office Hours

will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Tutorials 0 0 0 Preparations before/after weekly lectures 12 1 12 Preparation for midterm exam 1 48 48 Preparation for final exam 1 48 48 Preparing assignments 4 9 36 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 190

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 4 4 4 LO.2 4 4 4 LO.3 4 4 4 LO.4 4 4 4 LO.5 4 4 4