Course Code	Semester	Course Name	LE/RC/LA	Course Type	Language of Instruction	ECTS
MB0018	4	MATLAB Programming	2/2/0	CC	Turkish	5

Course Goals	MATLAB Programming aims to introduce MATLAB software environment and develop effective programs in this environment in order to enable students to practice various topics learned in basic mathematics courses, like Linear Algebra.
Prerequisite(s)	None
Corequisite(s)	None
Special Requisite(s)	The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s)	Professor Ozan KOCADAĞLI
Course Assistant(s)	None
Schedule	Monday 18.00-20.00 Tuesday 18.00-20.00
Office Hour(s)	Tuesday 15.00-16.00 on Cats
Teaching Methods and Techniques	-Resitation and Oral Presentation
Principle Sources	-“Matlab: A Practical Introduction to Programming and Problem Solving”, 4th ed, S.Attaway.
Other Sources	-“Linear Algebra for Engineers and Scientists Using MATLAB”, K.Hardy, Pearson.

Course Schedules
Week	Contents	Learning Methods
1. Week	MATLAB Programming Environment	Resitation and Oral Presentation
2. Week	Lists, Vectors, Matrices, Variables	Resitation and Oral Presentation
3. Week	MATLAB Data Types, Introduction to MATLAB Programming	Resitation and Oral Presentation
4. Week	Selection and Cycle Structure, Functions File Operations, Data Transferring	Resitation and Oral Presentation
5. Week	Linear Equation systems and Solutions	Resitation and Oral Presentation
6. Week	Introduction to Mathematical Functions and Computing their Limits	Resitation and Oral Presentation
7. Week	Midterm	Midterm
8. Week	Calculating Derivatives of Functions	Resitation and Oral Presentation
9. Week	Numerical Solutions to Integrals	Resitation and Oral Presentation
10. Week	Ordinary Differential Equations	Resitation and Oral Presentation
11. Week	Probability Distribution Functions	Resitation and Oral Presentation
12. Week	Symbolic Mathematics	Resitation and Oral Presentation
13. Week	Review	Resitation and Oral Presentation
14. Week	Final Exam	Final Exam
15. Week
16. Week
17. Week

Assessments
Evaluation tools	Quantity	Weight(%)
Midterm(s)	1	30
Quizzes	2	20
Final Exam	1	50

Program Outcomes PO-1 Interpreting advanced theoretical and applied knowledge in Mathematics and Computer Science. PO-2 Critiquing and evaluating data by implementing the acquired knowledge and skills in Mathematics and Computer Science. PO-3 Recognizing, describing, and analyzing problems in Mathematics and Computer Science; producing solution proposals based on research and evidence. PO-4 Understanding the operating logic of computer and recognizing computational-based thinking using mathematics as a discipline. PO-5 Collaborating as a team-member, as well as individually, to produce solutions to problems in Mathematics and Computer Science. PO-6 Communicating in a foreign language, and interpreting oral and written communicational abilities in Turkish. PO-7 Using time effectively in inventing solutions by implementing analytical thinking. PO-8 Understanding professional ethics and responsibilities. PO-9 Having the ability to behave independently, to take initiative, and to be creative. PO-10 Understanding the importance of lifelong learning and developing professional skills continuously. PO-11 Using professional knowledge for the benefit of the society.

Learning Outcomes LO-1 Understands MATLAB software package and MATLAB programming. LO-2 Uses basic mathematics topics that have been learned before. LO-3 Understands how to draw graphs of functions with MATLAB. LO-4 Applies vector and matrix operations efficiently. LO-5 Understands about Symbolic Programming. LO-6 Defines the different packages in MATLAB.

Course Assessment Matrix:

	PO 1	PO 2	PO 3	PO 4	PO 5	PO 6	PO 7	PO 8	PO 9	PO 10	PO 11