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TR

INFORMATION SYSTEMS ANALYSIS AND DESIGN

Course
MISY372 - INFORMATION SYSTEMS ANALYSIS AND DESIGN
Department
Master of Management Information Systems - English - Master
Course Type
Scientific Preparation
Status
Required
Language
English
Credit
0
ECTS
0
T+P+L
0 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords
-

Course Description

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INFORMATION SYSTEMS ANALYSIS AND DESIGN

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 Students who successfully complete the course should be able to gather data to analyse and specify the requirements of a system.
  2. 02 design system components and environments
  3. 03 build general and detailed models that assist programmers in implementing a system
  4. 04 design a database for storing data and a user interface for data input and output, as well as controls to protect the system and its data.

Course Syllabus

Week Topic
Week 1 Course Introduction
Week 2 The Systems Development Environment
Week 3 Managing the Information Systems Projects
Week 4 Systems Planning and Selection
Week 5 Analysis: Determining system requirements
Week 6 Analysis: Process modelling
Week 7 Analysis: Data modelling
Week 8 Midterm(s)
Week 9 Design: Forms and Report
Week 10 Design: Database
Week 11 Implementation
Week 12 project presentation
Week 13 project presentation
Week 14 project presentation
Week 15 Final Exams

Reference Books & Course Materials

  1. 01 Hoffer, et al., (2012). Essentials of Systems Analysis and Design, 5h Edition.
  2. 02 Hoffer, et al., (2014). Modern Systems Analysis and Design, 7th Edition.
  3. 03 Dennis, et al., (2012).System analysis and design with UML 2.0, 4th Edition.

Learning Outcomes

  1. L01 Students who successfully complete the course should be able to gather data to analyse and specify the requirements of a system.
  2. L02 design system components and environments
  3. L03 build general and detailed models that assist programmers in implementing a system
  4. L04 design a database for storing data and a user interface for data input and output, as well as controls to protect the system and its data.

Program Outcomes

  1. Demonstrate advanced knowledge of core concepts and theoretical frameworks in Management Information Systems, and apply them to develop innovative models that reflect current advancements in the field.
  2. Analyze complex organizational problems and design integrated information systems solutions by applying advanced MIS knowledge and synthesizing multiple theoretical perspectives.
  3. Develop and manage database systems and data-driven applications that ensure effective storage, retrieval, and use of organizational data in real-world contexts.
  4. Utilize data analytics, business intelligence tools, and data visualization techniques to extract actionable insights and support strategic, data-driven decision-making.
  5. Evaluate and apply emerging technologies such as AI, IoT, and Blockchain to drive digital transformation, enhance organizational performance, and formulate original research inquiries.
  6. Conduct independent and collaborative research using appropriate methodologies, and communicate findings effectively through scholarly writing and presentations suited to diverse audiences.
  7. dentify and address ethical, legal, and societal implications in the research, development, and use of information technologies, adhering to scientific and professional standards.
  8. Collaborate effectively in multidisciplinary teams and demonstrate leadership in addressing complex technology-driven challenges.
  9. Apply project management methodologies and tools to plan, execute, and monitor IT projects within organizational settings.
  10. Develop and integrate information systems that align with organizational goals and strategies, supporting innovation and sustainable growth.
  11. Perform comprehensive systems analysis and design, including requirements gathering, modeling, prototyping, and evaluating enterprise system architectures such as ERP, CRM, and SCM.
  12. Assess and mitigate organizational information security risks by applying appropriate principles, technologies, and best practices in cybersecurity.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - - - -
L02 - - - - - - - - - - - - -
L03 - - - - - - - - - - - - -
L04 - - - - - - - - - - - - -