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Course

IND3110787

SYSTEMS ANALYSIS and DESIGN

Industrial Engineering

LECTURE
3
LAB
0
CREDITS
3
ECTS
6
LANGUAGEEnglishLEVELFirst Cycle (Bachelor's Degree)TYPEElective

AIM

This course's objective is to define the concepts of systems approach and innovative system design for technology-based engineering systems. The course is structured along the phases of the systems development lifecycle and provides necessary tools and techniques for systems analysis, design, and management. Students will have a hands-on learning experience applying these topics throughout a student-selected team project.

CONTENT

This course contains; Introduction to systems thinking and systems concepts, Systems development life cycle (SDLC), agile and object-oriented systems development,Identifying needs and objectives / Final project in-class discussion ,Project Management of systems development projects,Modelling organizations and systems using context-level data flow diagrams, entity-relationship models, use cases, and use case scenarios.,Interactive and unobtrusive information-gathering techniques,Developing a system model using logical and physical Data-flow-diagrams (DFDs),Analyzing data-oriented systems using data dictionaries, data flows, data elements, data structures, and data repositories. ,Data governance, enterprise systems and virtual organizations. ,Designing effective system outputs. ,Designing effective system inputs,Technology-based Systems / Innovation / Digital Age / Software based systems ,Final Project Presentations ,Final Project Presentations.

LEARNING OUTCOMES

  1. 1

    1. Define the concepts of system, systems approach, systems thinking, and complex systems.

    Taught by: Case Study Method, Question - Answer Technique, Inquiry-Based Learning, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

  2. 2

    2. Distinguishes between the system development life cycle approach, agile system development and object-oriented system analysis and design approaches.

    Taught by: Discussion Method, Case Study Method, Question - Answer Technique, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

  3. 3

    3. Identifies stakeholders' needs using interactive and unobtrusive information-gathering techniques.

    Taught by: Case Study Method, Question - Answer Technique, Project Based Learning Model, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

  4. 4

    4. Models systems graphically using context-level data flow diagrams, entity-relationship models, and use cases.

    Taught by: Case Study Method, Question - Answer Technique, Project Based Learning Model, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

  5. 5

    5. Designs the outputs and inputs of an effective, accurate, and user-friendly system.

    Taught by: Case Study Method, Question - Answer Technique, Project Based Learning Model, Lecture Method · Assessed by: Traditional Written Exam, Homework, Project Task

WEEKLY PLAN

  1. WEEK 1

    Introduction to systems thinking and systems concepts

    Preparation: Lecture Notes

  2. WEEK 2

    Systems development life cycle (SDLC), agile and object-oriented systems development

    Preparation: Lecture Notes

  3. WEEK 3

    Identifying needs and objectives / Final project in-class discussion

    Preparation: Lecture Notes

  4. WEEK 4

    Project Management of systems development projects

    Preparation: Lecture Notes

  5. WEEK 5

    Modelling organizations and systems using context-level data flow diagrams, entity-relationship models, use cases, and use case scenarios.

    Preparation: Lecture Notes

  6. WEEK 6

    Interactive and unobtrusive information-gathering techniques

    Preparation: Lecture Notes

  7. WEEK 7

    Developing a system model using logical and physical Data-flow-diagrams (DFDs)

    Preparation: Lecture Notes

  8. WEEK 8

    Analyzing data-oriented systems using data dictionaries, data flows, data elements, data structures, and data repositories.

    Preparation: Lecture Notes

  9. WEEK 9

    Data governance, enterprise systems and virtual organizations.

    Preparation: Lecture Notes

  10. WEEK 10

    Designing effective system outputs.

    Preparation: Lecture Notes

  11. WEEK 11

    Designing effective system inputs

    Preparation: Lecture Notes

  12. WEEK 12

    Technology-based Systems / Innovation / Digital Age / Software based systems

    Preparation: Lecture Notes

  13. WEEK 13

    Final Project Presentations

    Preparation: Project Presentations

  14. WEEK 14

    Final Project Presentations

    Preparation: Project Presentations

ASSESSMENT

  • Rate of Midterm Exam to Success30%
  • Rate of Final Exam to Success70%

WORKLOAD

ACTIVITYCOUNTHOURSTOTAL
Course Hours15345
Guided Problem Solving15115
Resolution of Homework Problems and Submission as a Report12224
Term Project144
Presentation of Project / Seminar188
Quiz10220
Midterm Exam5315
General Exam5210
Performance Task, Maintenance Plan8432

READING

  • Course Materials: Course notes, slides, readings (provided by the instructor) Textbook: Systems Analysis and Design; Kendall, Kenneth and Kendall Julie. Global (9th /10th) edition; The Second Machine Age by Erik Brynjolfsson, Andrew McAfee.

TEACHING STAFF

  • Assoc.Prof. Yasin GÖÇGÜNCOORDINATOR
  • Lect. Özgür EROL
  • Assoc.Prof. Yasin GÖÇGÜN