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TR

MANAGEMENT INFORMATION SYSTEMS

Course
MISY523 - MANAGEMENT INFORMATION SYSTEMS
Department
Master of Management Information Systems - English - Master
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
8
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Kian JAZAYERI
Prerequisite
-
Keywords

Course Description

This course introduces students to the strategic and managerial role of Management Information Systems (MIS) in today’s global business environment. It emphasizes how organizations leverage information systems for competitive advantage, operational efficiency, innovation, and customer engagement. Students will explore the integration of enterprise applications such as ERP, CRM, and SCM, as well as the impact of e-commerce and digital markets on business models. The course also covers business intelligence, decision support systems, and project management, providing both theoretical and practical perspectives. Through group projects and case studies, students will develop the ability to design, evaluate, and present information system solutions aligned with organizational strategies and goals.

MANAGEMENT INFORMATION SYSTEMS

Evaluation Tools (Active Term)

Item Type Weight (%)
Final Exam Final 40
Midterm Exam Midterm 30
Project Project 30
Total 100

Course outcomes

  1. 01 1. Understand the impact of information systems on business and their relationship to globalization
  2. 02 2. Identify the major components of business information systems and define the majortypes of business information systems
  3. 03 3. Explain the role of e-commerce, knowledge management, information systems development and global systems managemnt in today's competitive environment
  4. 04 4. Explain and discuss the role of information systems in achieving operational excellence and enhancing decision making in organizations

Course Syllabus

Week Topic
Week 1 Introduction
Week 2 Information Systems in Global Business Today
Week 3 Business Perspective : How Businesses use Information Systems
Week 4 Information Systems, Organization and Strategies
Week 5 Achieving Operational Excellence and Customer Intimacy: Enterprise Applications
Week 6 E-commerce : Digital Markets, Digital Goods
Week 7 Managing Knowledge
Week 8 Midterm Examinations
Week 9 Midterm Examinations
Week 10 Project Presentations-I
Week 11 Enhancing Decision Making
Week 12 Building Information Systems
Week 13 Managing Informatıon Systems Projects
Week 14 Project Presentations-II
Week 15 -

Reference Books & Course Materials

  1. 01 1. Management InformationSystems, 17E, Global Edition, Laudon& Laudon, 2022
  2. 02 2. Management InformationSystems, 14E, Global Edition, Laudon& Laudon, 2020
  3. 03 3. Management InformationSystems: Managing the Digital Firm, Twelfth Edition, Prentice Hall, 2015
  4. 04 4. Management InformationSystems: Solving business problem with information technology, Post, Gerald V.,2000

Learning Outcomes

  1. L01 1. Understand the impact of information systems on business and their relationship to globalization
  2. L02 2. Identify the major components of business information systems and define the majortypes of business information systems
  3. L03 3. Explain the role of e-commerce, knowledge management, information systems development and global systems managemnt in today's competitive environment
  4. L04 4. Explain and discuss the role of information systems in achieving operational excellence and enhancing decision making in organizations
  5. L05 5. Discuss the role of knowledge management and knowledge management programs in businesses. SOLO 0

Program Outcomes

  1. Demonstrate a thorough understanding of the theories, frameworks, and models in order to assess and comprehend the state of the art in data science.
  2. Review the literature and apply data science theories and methodology in new research and experiments.
  3. Analyze datasets using supervised and unsupervised machine learning techniques.
  4. Design, develop and test statistics and informatics software systems for data management, analysis and problem solving.
  5. Conceptualize and develop efficient visuals for a range of data types and analytical tasks, and carry out independent research on a range of theoretical and applied subjects in visualization and visual analytics.
  6. Obtain a high level of proficiency in communication, problem solving, research or project-related activities and function effectively as a team member or a leader to accomplish a common goal in a multidisciplinary team.
  7. Develop and implement optimal solutions to overcome challenges associated with managing large datasets by utilizing parallel methods, cloud computing, and non-relational data storage and retrieval (NoSQL).
  8. Demonstrate an understanding of the interdisciplinary of data, information, and communications, as well as the ability to evaluate the leading research methods for data collection and analysis.
  9. Demonstrate a deep understanding of the ethical issues surrounding the use of data and apply ethical decision making in real-world data-related applications.
  10. Demonstrate capability of analyzing, synthesizing, and evaluating knowledge from a wide range of fields and be capable of lifelong self-directed learning.

Po-Lo Matrix

LO Average
L01 - - - - - - - - - - -
L02 - - - - - - - - - - -
L03 - - - - - - - - - - -
L04 - - - - - - - - - - -
L05 - - - - - - - - - - -