MANAGEMENT ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
INE4112 | System Analysis | Fall | 3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Prof. Dr. MUSTAFA ÖZBAYRAK |
Course Lecturer(s): |
Prof. Dr. MUSTAFA ÖZBAYRAK |
Recommended Optional Program Components: | None |
Course Objectives: | The goal of this course is to provide the systems concept. An extensive definition of “system” and its components will be given. Systems classification, hierarchy and systems modeling will be explained. Students will be required to identify the system parameters, input and output requirements, while taking into account system stipulations. Systems analysis fundamentals; development methodologies, modeling organizational systems, determining feasibility, and analysis process; data flow diagrams, structured decisions will be covered. |
The students who have succeeded in this course; I. Define a system along with its components, component interactions and system objective, II. Classify the systems and describe the system characteristics, III. Discuss the systems engineering approach to systems analysis, and explain the role of systems analyst, IV. Construct the nature of the different kinds of models used in systems analysis, V. Identify systems development methodologies and analyse systems development life cycle, VI. Identify and illustrate the necessary inputs/information needed for systems analysis, VII. Determine feasibility analysis techniques, and compare the differences between the techniques and when they are used, VIII. Design data flow diagrams, IX. Evaluate what is meant by process specification and the use of various structured decisions analysis techniques. |
1st Week: Systems, Roles and Development Methodologies 2nd Week: Understanding and Modeling Organizational Systems 3rd Week: Project Management 4th Week: Information Gathering : Interactive Methods 5th Week: Information Gathering: Unobtrusive Methods 6th Week: Agile Modeling and Prototyping 7th Week: Using Data Flow Diagrams 8th Week: Midterm 9th Week: Analyzing Systems Using Data Dictionaries 10th Week: Process Specifications and Structured Decisions 11th Week: Object Oriented Systems Analysis and Design Using UML 12th Week: The Essentials of Design 13th Week: Quality Assurance and Implementation 14th Week: Project presentations |
Week | Subject | Related Preparation |
1) | Systems, Roles and Development Methodologies | |
2) | Understanding and Modeling Organizational Systems | |
3) | Project Management | |
4) | Information Gathering : Interactive Methods | |
5) | Information Gathering: Unobtrusive Methods | |
6) | Agile Modeling and Prototyping | |
7) | Using Data Flow Diagrams | |
8) | Using Data Flow Diagrams | |
9) | Analyzing Systems Using Data Dictionaries | |
10) | Process Specifications and Structured Decisions | |
11) | Object Oriented Systems Analysis and Design Using UML | |
12) | The Essentials of Design | |
13) | Quality Assurance and Implementation | |
14) | Project presentations |
Course Notes / Textbooks: | “Systems Analysis and Design”, Kendall & Kendall, Pearson Prentice Hall. |
References: | None |
Semester Requirements | Number of Activities | Level of Contribution |
Project | 1 | % 15 |
Midterms | 1 | % 25 |
Final | 1 | % 60 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 25 | |
PERCENTAGE OF FINAL WORK | % 75 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 4 | 56 |
Project | 1 | 25 | 25 |
Midterms | 1 | 10 | 10 |
Final | 1 | 11 | 11 |
Total Workload | 144 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and engineering subjects; use theoretical and applied information in these areas to model and solve engineering problems. | |
2) | identify, formulate, and solve complex engineering problems; select and apply proper analysis and modeling methods for this purpose. | |
3) | Design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) | |
4) | Devise, select, and use modern techniques and tools needed for engineering management practice; employ information technologies effectively. | |
5) | Design and conduct experiments, collect data, analyze and interpret results for investigating engineering management problems. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working independently. | |
7) | Demonstrate effective communication skills in both oral and written English and Turkish. | |
8) | Recognize the need for lifelong learning; show ability to access information, to follow developments in science and technology, and to continuously educate him/herself. | |
9) | Develop an awareness of professional and ethical responsibility. | |
10) | Know business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. | |
11) | Know contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions. | |
12) | Develop effective and efficient managerial skills. |