Software Engineering (SE550) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Engineering SE550 Area Elective 3 0 0 3 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
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

Sources

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 Having accumulated knowledge on mathematics, science and engineering and an ability to apply these knowledge to solve Civil engineering problems.
2 Ability to design Cİvil Engineering systems fulfilling sustainability in environment and manufacturability and economic constraints
3 An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems.
4 An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment
5 Ability to use modern engineering tools, techniques and facilities in design and other engineering applications X
6 Ability to carry out independent research in the field and to report the results of the research effectively and be able to present the research results at scientific meetings.
7 Sufficient oral and written English knowledge to follow scientific conferences in the field and communicate with colleagues. X
8 Ability to effectively use knowledge in the field to work in disciplinary/multidisciplinary teams and the skill to lead these teams
9 Consciousness on the necessity of improvement and sustainability as a result of life-long learning,ability for continuous renovation and monitoring the developments on science and technology and awareness on entrepreneurship and innovation X
10 Professional and ethical responsibility to gather and interpret data, apply and announce solutions to Civil Engineering problems.
11 An ability to investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
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