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 Acquires skills to use the advanced theoretical and applied knowledge obtained at the mathematics bachelors program to do further academic and scientific research in both mathematics-based graduate programs and public or private sectors.
2 Transplants and applies the theoretical and applicable knowledge gained in their field to the secondary education by using suitable tools and devices.
3 Acquires the skill of choosing, using and improving problem solving techniques which are needed for modeling and solving current problems in mathematics or related fields by using the obtained knowledge and skills.
4 Acquires analytical thinking and uses time effectively in the process of deduction.
5 Acquires basic software knowledge necessary to work in the computer science related fields and together with the skills to use information technologies effectively.
6 Obtains the ability to collect data, to analyze, interpret and use statistical methods necessary in decision making processes.
7 Acquires the level of knowledge to be able to work in the mathematics and related fields and keeps professional knowledge and skills up-to-date with awareness in the importance of lifelong learning.
8 Takes responsibility in mathematics related areas and has the ability to work affectively either individually or as a member of a team.
9 Has proficiency in English language and has the ability to communicate with colleagues and to follow the innovations in mathematics and related fields.
10 Has the ability to communicate ideas with peers supported by qualitative and quantitative data.
11 Has professional and 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