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 302

Course Title in English

Software Engineering

Course Title in Turkish

Yazılım Mühendisliği

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Introductory

Semester

Fall

Contact Hours per Week

Lecture: 3

Recitation: None

Lab: 0

Other: None

Estimated Student Workload

155 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

COMP 201 - Data Structures and Algorithms
COMP 201 - Data Structures and Algorithms

Expected Prior Knowledge

Data Structures and Algorithms

Co-requisites

None

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To get acquainted with the concepts of Software Engineering and Management of Software Projects.

Course Description

This course provides a comprehensive introduction to some fundamental aspects of Software Engineering. The intensive content of the course presents a broad view of common Software Engineering topics such as process models, project management, software analysis and design, software testing and maintenance.

Course Description in Turkish

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) describe the software processes
2) recognize software project management concepts
3) design of complex software systems
4) demonstrate broad knowledge on popular methods in software engineering
5) present the software development work in front of the audience
6) recognize ethical and professional responsibilities in engineering situations
7) communicate effectively with team members

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5	6	7
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	İLKER BEKMEZCİ , April 2021
Course Coordinator	İLKER BEKMEZCİ
Semester	Fall
Name of Instructor	Prof. Dr. İLKER BEKMEZCİ

Course Contents

Week	Subject
1)	Introduction
2)	Software Processes and Process Models
3)	Agile Software Development
4)	Software Project Management – 1
5)	Software Project Management – 2
6)	System Modeling and Requirements Engineering
7)	UML - 1
8)	UML - 2
9)	Software Design – 1
10)	Software Design – 2
11)	Software testing-1
12)	Software testing-2
13)	Web Engineering
14)	Software Maintenance
15)	Final Examination/Project Presentation Period.
16)	Final Examination/Project Presentation Period.

Required/Recommended Readings

• Software Engineering:A Practitioner’s Approach Roger S. Pressman, McGraw- Hill, 2005. • Software Engineering, Ian Sommerville, Addison-Wesley, 2010. • Object-Oriented Software Engineering Using UML, Patterns and Java Bernd Bruegge, Alan H. Dutoit, 3rd ed., Prentice Hall, 2009

Teaching Methods

Lecturing and In-class exercises and a group project will be carried out by students

Homework and Projects

Term project, assignments

Laboratory Work

Computer Use

For in-class exercises, term project and assignments

Other Activities

None

Assessment Methods

Assessment Tools	Count	Weight
Attendance	15	% 15
Project	1	% 50
Midterm(s)	1	% 35
TOTAL		% 100

Course Administration

bekmezcii@mef.edu.tr
A523
Instructor’s office and phone number, office hours, email address: -Office: A523 - Email address: bekmezcii@mef.edu.tr Missing a quiz: Provided that proper documents of excuse are presented, each missed quiz by the student will be given a grade which is equal to the average of all of the other quizzes. No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf

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	1	3	1	70
Project	6	10	1	2	78
Midterm(s)	1	5	1	1	7
Total Workload					155
Total Workload/25					6.2
ECTS					6