INDUSTRIAL ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
INE4112 System Analysis Fall 3 0 3 6
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level: Bachelor
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. MUSTAFA ÖZBAYRAK
Course Lecturer(s): Prof. Dr. MUSTAFA ÖZBAYRAK
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.

Learning Outputs

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.

Course Content

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

Weekly Detailed Course Contents

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

Sources

Course Notes: “Systems Analysis and Design”, Kendall & Kendall, Pearson Prentice Hall.
References: None

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments % 0
Presentation % 0
Project 1 % 15
Seminar % 0
Midterms 1 % 25
Preliminary Jury % 0
Final 1 % 60
Paper Submission % 0
Jury % 0
Bütünleme % 0
Total % 100
PERCENTAGE OF SEMESTER WORK % 25
PERCENTAGE OF FINAL WORK % 75
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 4 56
Presentations / Seminar 0 0 0
Project 1 25 25
Homework Assignments 0 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 10 10
Paper Submission 0 0 0
Jury 0 0 0
Final 1 11 11
Total Workload 144

Contribution of Learning Outcomes to Programme Outcomes

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 industrial engineering subjects; use theoretical and applied information in these areas to model and solve complex 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. The ability to apply modern design methods to meet this objective.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in industrial engineering practice; employ information technologies effectively.
5) Design and conduct experiments, collect data, analyze and interpret results for investigating the complex problems specific to industrial engineering.
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. Writing and understanding reports, preparing design and production reports, making effective presentations, giving and receiving clear and understandable instructions.
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, and behaving accordingly. Information about the standards used in engineering applications.
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 modern age engineering practices on health, environment, and safety; recognize the legal consequences of engineering solutions.
12) Develop effective and efficient managerial skills.