Software Engineering (SE550) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Engineering SE550 3 0 0 3 5
Pre-requisite Course(s)
Course Language English
Course Type N/A
Course Level Natural & Applied Sciences Master's Degree
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to provide basic foundations of a general engineering discipline to problem solving for computer based applications rather than to focus on specific methods, techniques, and methodologies. Hence, it emphasizes empirical and quantitative methods, analysis and design techniques, project scheduling and management techniques, software testing activities, software documentation details, quality assurance, and other software engineering issues.
Course Learning Outcomes The students who succeeded in this course;
  • Discuss formal methods for the analysis, design and maintenance of software systems Analyse and design quality software
  • Distinguish between different software development methodologies
  • Demonstrate knowledge and understanding of UML model elements.
  • Categorize, summarize, model, and analyse requirements
  • Realize model elements for creating efficient design elements
  • Recall the basics of software project, configuration and risk management
  • Describe different software testing strategies
  • Describe testing strategies for conventional and OO systems
  • Explain software product, process and project metrics
Course Content Introduction to software engineering and related topics; software process and project metrics; project planning; scheduling and tracking; configuration management; software quality assurance; requirement analysis; data flow diagrams and related topics; design concepts and methods; implementation; testing methods and test strategies; object-oriented

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction & Software Engineering Concepts Ch.1, 2 (main text)
2 Software Process Structure, Process Models Ch.3, Ch.4 (4.1.1-4.1.3)
3 Agile Development Ch.5 (5.1-5.3, 5.4.1, 5.5.1)
4 Understanding Requirements Ch. 8
5 Requirements Modeling Ch. 9, Ch. 10
6 Requirements Modeling Ch.11 (11.1-11.4)
7 Design Concepts Ch. 12
8 Architectural and Component-Level Design Ch.13, Ch.14 (14.1-14.3)
9 User Interface (UI) Design Ch.15 (15.1-15.4)
10 Software Testing Strategies Ch.22 (22.1-22.4, 22.7-22.9), Ch.23(23.1-23.6)
11 Product Metrics Ch.30 (30.1-30.3.3)
12 Process and Project Metrics Ch.32 (32.1-32.2)
13 Estimation for Software Projects Ch.33 (33.1-33.7)
14 Basics of Software Maintenance Lecture notes
15 Final Exam
16 Final Exam


Course Book 1. Pressman, R. S. and B. R. Maxim, Software Engineering, McGraw Hill, 8th. Ed., 2014
Other Sources 2. Sommerville, I., Software Engineering, Addison-Wesley, 10th. Ed., 2015
3. ISO/IEC TR 19759:2005, Software Engineering - Guide to the Software Engineering Body of Knowledge (SWEBOK), ANSI, 2007
4. Van Vliet, H., Software Engineering: Principles and Practice, Wiley, 2008 (1st edition)
5. Tsui, F. F., Karam, O., Essentials of Software Engineering, Jones & Bartlett Publishers, 2006 (1st edition)
6. Schach, S. R., Object-oriented and Classical Software Engineering, McGraw Hill, 2006 (7th edition)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 5
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 25
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 40
Toplam 7 100
Percentage of Semester Work
Percentage of Final Work 100
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design and conduct experiments, as well as to analyse and interpret data.
3 An ability to design a system, component, or process to meet desired needs.
4 An ability to function on multi-disciplinary domains.
5 An ability to identify, formulate, and solve engineering problems.
6 An understanding of professional and ethical responsibility.
7 An ability to communicate effectively.
8 Recognition of the need for, and an ability to engage in life-long learning.
9 A knowledge of contemporary issues.
10 An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
11 Skills in project management and recognition of international standards and methodologies
12 An ability to produce engineering products or prototypes that solve real-life problems.
13 Skills that contribute to professional knowledge.
14 An ability to make methodological scientific research.
15 An ability to produce, report and present an original or known scientific body of knowledge.
16 An ability to defend an originally produced idea.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Homework Assignments 4 5 20
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 130