Psychology
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute

Faculty of Engineering

Course Code

COMP 111

Course Title in English

Computer Programming (MATLAB)

Course Title in Turkish

Bilgisayar Programlama (MATLAB)

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Introductory

Semester

Fall

Contact Hours per Week

Lecture: 2

Recitation:

Lab: 2

Other:

Estimated Student Workload

123 hours per semester

Number of Credits

5 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

None

Expected Prior Knowledge

None

Co-requisites

None

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To understand fundamentals of computer programming and learn how to design and implement computer algorithms to solve basic engineering problems in MATLAB programming language.

Course Description

This course provides a comprehensive introduction to fundamentals of computer programming and algorithm development. The following topics are covered: algorithms, vectors and matrices, functions, selection statements, loop statements, I/O processes, functions, plotting, structures, scripts and programs in MATLAB programming language.

Course Description in Turkish

Bu ders bilgisayar programlamanın temelleri ve algoritma geliştirmenin temelleri konusuna kapsamlı bir giriş sağlamaktadır. Derste işlenen konular arasında: algoritmalar, vektörler ve matrisler, fonksiyonlar, seçim komutları, döngü komutları, I/O süreçleri, grafik çizimi, yapılar, komut dizileri ve programların MATLAB programlama dili kullanılarak öğretilmesi, bulunmaktadır .

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Describe computer programming fundamentals.
2) Analyze technical problems and develop basic computer algorithms.
3) Construct algorithms on computer programming tools to solve engineering problems.
4) Present the results of his/her programming solutions.

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.	N
2)	Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.	N
3)	Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.	H	Exam,HW,Participation
4)	Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.	N
5)	Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.	N
6)	Internalization and dissemination of professional ethical standards.	N
7)	Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.	N
8)	Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).	N
9)	Recognition, understanding, and respect for the complexity of sociocultural and international diversity.	S	Participation
10)	Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.	S	HW,Participation
11)	Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.	N
12)	Ability to acquire knowledge independently, and to plan one’s own learning.	S	Exam,HW
13)	Demonstration of advanced competence in the clarity and composition of written work and presentations.	H	Exam,HW

Prepared by and Date	SERAP KIRBIZ , December 2020
Course Coordinator	SERAP KIRBIZ
Semester	Fall
Name of Instructor	Asst. Prof. Dr. SERAP KIRBIZ

Course Contents

Week	Subject
1)	Introduction to MATLAB
2)	Vectors and Matrices
3)	Fundamentals of Programming
4)	Selection Statements
5)	Loop Statements-1
6)	Loop Statements-2
7)	String Vectors
8)	Structs and Cell Arrays
9)	MATLAB Programs
10)	Plotting Techniques
11)	File Input/output
12)	Basic Statistics and Sorting
13)	Advanced Concepts
14)	Student Projects
15)	Final Exam/Project/Presentation Period
16)	Final Exam/Project/Presentation Period

Required/Recommended Readings

Textbook: MATLAB: A Practical Introduction to Programming and Problem Solving, 3rd Edition, Stormy Attaway, ISBN-13: 978-0124058767 Reference book: Essential MATLAB for Engineers and Scientists, Fifth Edition, Brian Hahn, Daniel Valentine, ISBN-13: 978-0123943989

Teaching Methods

Lectures/Laboratories/Contact hours/Flipped Learning

Homework and Projects

Teamwork projects

Laboratory Work

13 computer laboratories on programming

Computer Use

In laboratories, lab exams and project

Other Activities

Assessment Methods

Assessment Tools	Count	Weight
Application	10	% 15
Quiz(zes)	3	% 15
Project	1	% 30
Midterm(s)	2	% 40
TOTAL		% 100

Course Administration

kirbizs@mef.edu.tr

Instructor’s office: 5th Floor office hours: Monday 14:00-16:00, Thursday 14:00-16:00 email address: kirbizs@mef.edu.tr Rules for attendance: Students attending less than 70% of the laboratories and lectures will be graded FZ. Missing a midterm: Provided that proper documents of excuse are presented, a make-up exam for lab midterm exams will be provided. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Academic Dishonesty and Plagiarism: YÖK Regulations

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	0	2		28
Laboratory	13	0	2		26
Study Hours Out of Class	10	1	1		20
Project	1	15	1		16
Quiz(zes)	3	2	1		9
Midterm(s)	2	10	2		24
Total Workload					123
Total Workload/25					4.9
ECTS					5