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- Software Engineering
- Qualification Awarded
- Level of Qualification
- Specific Admission Requirements
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- Profile of the Program
- Program Outcomes
- Course & Program Outcomes Matrix
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- Program Structure
- Course Structure Diagram with Credits
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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 |
| |||||||||||
| 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 | ||
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Probability Review | Chapter 17 |
| 2 | Conditional Probability and Random Variables | Chapter 17 |
| 3 | Discrete, Continuous Random Variables and Expected Values | Chapter 17 QUIZ 1 |
| 4 | Markov Chains – Description and Models, Chapman-Kolmogorov Equations | Chapter 17 |
| 5 | Markov Chains – Classification of States, LongRun Properties of Markov Chains | Chapter 17 |
| 6 | Markov Chains – First Passage Times, Absorbing States | Chapter 17 QUIZ 2 |
| 7 | Markov Decision Processes – Description and Modelling | Chapter 19.5 |
| 8 | Markov Decision Processes – Solution Techniques | Chapter 19.5 |
| 9 | Continous Time Markov Chains | QUIZ 3 |
| 10 | Continous Time Markov Chains | - |
| 11 | Queuing Theory – Basic Structure of Queuing Models | Chapter 20 |
| 12 | Queuing Theory – The Role of the Exponential Distribution, Birth and Death Process | Chapter 20 QUIZ 4 |
| 13 | Queuing Models | Chapter 20 |
| 14 | Queuing Models | Chapter 20 QUIZ 5 |
| 15 | Review | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | Operations Research: Applications and Algorithms, Wayne L. Winston, 4th Ed., Duxbury Press |
| Suggested Readings/Materials | Introduction to Probability Models, Sheldon Ross, Academic Press |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | - | - |
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 5 | 35 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | 1 | 15 |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 20 |
| Final Exam | 1 | 30 |
| Total |
| Weighting of Semester Activities on the Final Grade | 75 | |
| Weighting of End-of-Semester Activities on the Final Grade | 25 | |
| 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 | 16 | 3 | |
| Field Work | |||
| Quizzes / Studio Critiques | 5 | 1 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | 1 | 20 | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 2 | |
| Final Exams | 1 | 2 | |
| Total | 125 |
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 | |||||
| 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 | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest