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- Software Engineering
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COURSE INTRODUCTION AND APPLICATION INFORMATION
se.cs.ieu.edu.tr
| Course Name | |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| Fall/Spring |
| Prerequisites | None | |||||
| Course Language | ||||||
| Course Type | Elective | |||||
| Course Level | - | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | ||||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description |
|
| Core Courses | |
| Major Area Courses | X | |
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Introduction to Decision Theory. Decision making under certainty. Decision making under uncertainty. | |
| 2 | Decision making under risk. | |
| 3 | Utility Theory. Single attribute utility. Interpreting utility functions. | |
| 4 | Kurban Bayramı | |
| 5 | Utility functions for nonmonetary attributes. The axioms of utility. | |
| 6 | Attitudes towards risk. | |
| 7 | Risk premium. | |
| 8 | Midterm | |
| 9 | Using additional information. Expected value of sample information. Expected value of perfect information. | |
| 10 | Decision making without experimentation. Decision making with experimentation. | |
| 11 | Multicriteria Decision Making. Goal Programming. | |
| 12 | Multi Attribute Utility Functions. | |
| 13 | Analytic Hierarchy Process. | |
| 14 | Outranking relations. | |
| 15 | Review | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Lecture Notes |
| Suggested Readings/Materials | 1. Robert T. Clemen, Terence Reilly, Making Hard Decisions With Decision Tools, Duxbury Thomson Learning, 2001; ISBN13: 9780495015086; ISBN10: 0495015083. 2. Wayne L. Winston, Operations Research. Applications and Algorithms, Duxbury Press, Belmont, California, 1994. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | 1 | 5 |
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 4 | 20 |
| Portfolio | ||
| Homework / Assignments | 2 | 10 |
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 30 |
| Final Exam | 1 | 35 |
| Total |
| Weighting of Semester Activities on the Final Grade | 65 | |
| Weighting of End-of-Semester Activities on the Final Grade | 35 | |
| 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 | 15 | 2 | |
| Field Work | |||
| Quizzes / Studio Critiques | 4 | 3 | |
| Portfolio | |||
| Homework / Assignments | 2 | 5 | |
| Presentation / Jury | |||
| Project | |||
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 11 | |
| Final Exams | 1 | 12 | |
| Total | 123 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute | |||||
| 2 | Be able to design and analyze software at component, subsystem, and software architecture level | |||||
| 3 | Be able to develop software by coding, verifying, doing unit testing and debugging | |||||
| 4 | Be able to verify software by testing its behaviour, execution conditions, and expected results | |||||
| 5 | Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation | |||||
| 6 | Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically | |||||
| 7 | To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning | |||||
| 8 | Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes | |||||
| 9 | Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance | |||||
| 10 | To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software | |||||
| 11 | To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering | X | ||||
| 12 | Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering | |||||
| 13 | Be able to use a foreign language to follow related field publications and communicate with colleagues | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest