SE 105 | Course Introduction and Application Information

Course Name
Introduction to Software Engineering
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
SE 105
Fall
3
0
3
3

Prerequisites
None
Course Language
English
Course Type
Required
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to provide students a common understanding of software engineering principles. It is organized so as to, first, provide a general introduction to software development and identify the important phases of any software project. Then, each of the phases is examined in detail, in order to give the student a picture of the current state of software development.
Course Description The students who succeeded in this course;
  • Be able to define engineering, software, computer and system engineering
  • Be able to define software processes
  • Be able to gather the software requirements
  • Be able to desing using UML
  • Be able to learn the software verification and validation
Course Content The course provides the fundamental concepts of software engineering discipline and to provide insight into abstraction, problem solving and systematic view.

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction Sommerville, (ch.1)
2 Engineering, System and Software Engineering Sommerville, (ch.1)
3 Software processes Sommerville, (ch.2)
4 Agile software development Sommerville, (ch.3)
5 Requirements engineering Sommerville, (ch.4)
6 Requirements engineering Sommerville, (ch.4)
7 Midterm Exam
8 System modelling Sommerville, (ch.5)
9 System modelling Sommerville, (ch.5)
10 Architectural design Sommerville, (ch.6)
11 Design and implementation Sommerville, (ch.7)
12 Software testing Sommerville, (ch.8)
13 Software evolution Sommerville, (ch.9)
14 Software evolution Sommerville, (ch.9)
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks Sommerville, Software Engineering, 10e, Pearson, 2016.
Suggested Readings/Materials * Pressman, Software Engineering: A Practitioner's Approach, 7e, McGrawHill, 2010. * SWEBOK, Guide to the Software Engineering Body of Knowledge: 2004, IEEE. * Fowler, UML Distilled: A Brief Guide to the Standard Object Modeling Language, 3/e, AddisonWesley, 2004. * Larman, Applying UML and Patterns: An Introduction to ObjectOriented Analysis and Design and Iterative Development, 3/e, Pearson, 2005. * C. Sidney Burrus, What is Engineering?, http://cnx.org/content/m13680/latest/Understanding the Engineering Problem Solving Process, http://www.asme.org/ Education /PreCollege/TeacherResources/StudentReading22.cfm * Richard H.Thayer, Software System Engineering: A Tutorial, April 2002. * F.P. Brooks, Jr , No Silver Bullet: Essence and Accidents of Software Engineering,  Proceedings of the IFIP Tenth World Computing Conference: 10691076, 1986. * European Software Strategy, www.nessieurope.eu, June 2008.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
4
Laboratory / Application
Field Work
Quizzes / Studio Critiques
8
16
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
2
40
Final / Oral Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
1
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
Including exam week: 16 x total hours
16
3
48
Laboratory / Application Hours
Including exam week: 16 x total hours
16
Study Hours Out of Class
Field Work
Quizzes / Studio Critiques
8
1
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
2
7
Final / Oral Exam
1
20
    Total
90

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems X
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose X
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose X
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice X
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems X
6 Ability to work efficiently in Software Engineering disciplinary and multi-disciplinary teams; ability to work individually X
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself X
9 Awareness of professional and ethical responsibility X
10 Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development X
11 Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Software Engineering solutions X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest