Software Engineering (SE346) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Software Engineering SE346 Area Elective 3 1 2 3 6
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Drill and Practice.
Course Coordinator
Course Lecturer(s)
Course Assistants
Course Objectives The objective of this course is to introduce computer software and its types, the fundamental concepts of Software Engineering discipline, various software process models, the phased-approach of software development, and activities of each phase, the tools and techniques used in various activities of the phased-approach of software development, software project and configuration management concepts, quality assurance, software engineering economics, and other Software Engineering issues such as ethical and professional issues.
Course Learning Outcomes The students who succeeded in this course;
  • Describe methods for the analysis, design and maintenance of software systems
  • Gain necessary information for the analysis and design of quality software
  • Identify the development life cycle and related process and methods
  • Explain basics of software project management and its main drivers such as cost, schedule, quality and risk
  • Use software metrics to measure software quality and project performance
  • Attain knowledge on the use of CASE tools
Course Content Software project management: metrics, estimation, scheduling, planning; software requirement analysis techniques, software design techniques, software implementation, software quality assurance and testing, software maintenance, software configuration management, risk management in software development projects, recent trends and methods in softwar

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction (Ch.1)
2 Software processes (Ch.2)
3 Agile software development (Ch.3)
4 Requirements engineering (Ch.4)
5 System modeling (Ch.5)
6 Architectural design (Ch.6)
7 Design and implementation (Ch.7)
8 Design and implementation - Continued (Ch.7)
9 Software testing (CH.8)
10 Software evolution (Ch.9)
11 Project management (Ch.22)
12 Project planning (Ch.23)
13 Quality management (Ch.24)
14 Configuration management (Ch.25)

Sources

Course Book 1. Sommerville, I., Software Engineering, Addison-Wesley, 2016 (10th edition)
Other Sources 2. Pressman, R. S. ve Maxim, B. Software Engineering, McGraw Hill, 2014 (8th edition)
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, 2010 (8th edition)

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 1 10
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 4 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 30
Final Exam/Final Jury 1 35
Toplam 7 95
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 Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area
2 Can apply gained knowledge and problem solving abilities in inter-disciplinary research
3 Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary
4 Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study
5 Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework
6 Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility
7 Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation
8 To have an oral and written communication ability in at least one of the common foreign languages ("European Language Portfolio Global Scale", Level B2)
9 Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge
10 Follows scientific, cultural, and ethical criteria in collecting, interpreting and announcing data in the research area and has the ability to teach.
11 Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 4 64
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 3 48
Presentation/Seminar Prepration
Project
Report
Homework Assignments 4 4 16
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 20 20
Total Workload 158