| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| SEN2022 | Software Engineering Analysis and Design | Fall | 3 | 0 | 3 | 7 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Prof. Dr. MEHMET ALPER TUNGA |
| Course Objectives: | The students will have the ability of analyzing and designing of a software development process such as defining scope, describing problems, gathering system requirements, constructing data, object and process models and identifying alternative solution to apply feasibility analysis for decision making purposes. |
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The students who have succeeded in this course; 1. Describe systems analysis and design concepts and define the components of information systems 2. Describe the essential phases of systems development 3. Describe project management tools and a number of systems analysis approaches for solving information system problems 4. Define scope of information system problems 5. Identify the problems, opportunities and directives that trigger the project 6. Define functional and nonfunctional system requirements, apply fact-finding techniques 7. Define actors and use cases, construct context and use case model diagrams 8. Construct data models and UML diagrams 9. Define the basic concepts and constructs of a process model and construct context, data flow, event and system diagrams 10. Identify alternative system solutions, define six types of feasibility, prepare cost-benefit analyses and system proposal reports |
| The course content is composed of the basic concepts of systems analysis and design, the components of information systems, methods for developing information systems, project management, systems analysis approaches, scope definition phase, problem analysis phase , requirements analysis phase, use-cases, data modeling and analysis, process modeling, feasibility analysis and the system proposal. |
| Week | Subject | Related Preparation | |
| 1) | Introduction to Systems Analysis and Design | ||
| 2) | The Components of Information Systems | ||
| 3) | Systems Analysis Approaches | ||
| 4) | Project Management | ||
| 5) | Scope Definition and Problem Analysis Phases | ||
| 6) | Requirements Analysis Phase | ||
| 7) | Use Case Diagrams | ||
| 8) | Use Case Scenarios | ||
| 9) | Data Modeling and Analysis | ||
| 10) | Data Modeling and Analysis | ||
| 11) | UML Diagrams | ||
| 12) | Process Modeling | ||
| 13) | Feasibility Analysis and the System Proposal | ||
| 14) | Project Presentations | ||
| Course Notes: | Eric J. Braude and Michael E. Bernstein, Software Engineering: Modern Approaches 2ed, John Wiley & Sons, 2011, ISBN 978-0-471-69208-9 Lonnie D. Bentley and Jeffrey L. Whitten, Systems Analysis & Design for the Global Enterprise 7ed, McGraw Hill, 2007, ISBN-13 978-0-07-110766-2 |
| References: | Yok |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 0 | % 0 |
| Laboratory | 0 | % 0 |
| Application | 0 | % 0 |
| Field Work | 0 | % 0 |
| Special Course Internship (Work Placement) | 0 | % 0 |
| Quizzes | 10 | % 10 |
| Homework Assignments | 0 | % 0 |
| Presentation | 0 | % 0 |
| Project | 1 | % 20 |
| Seminar | 0 | % 0 |
| Midterms | 1 | % 30 |
| Preliminary Jury | 0 | % 0 |
| Final | 1 | % 40 |
| Paper Submission | 0 | % 0 |
| Jury | 0 | % 0 |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 40 | |
| PERCENTAGE OF FINAL WORK | % 60 | |
| Total | % 100 | |
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |