YBS101

Introduction to Management Information Systems

Faculty \ Department
School of Economics and Administrative Sciences \ Management Information Systems
Course Credit
ECTS Credit
Course Type
Instructional Language
3
6
Compulsory
Turkish
Prerequisites
-
Programs that can take the course
Management Information Systems Undergraduate Program
Course Description
This course introduces the fundamental concepts, components, and strategic importance of management information systems for businesses. It examines a wide range of information system types, from transaction processing systems to enterprise resource planning, and from decision support systems to AI-supported applications. Throughout the course, students evaluate how information technologies transform business processes, create competitive advantage, and support decision-making processes through current case studies. The course serves as a foundational/introductory course that prepares students for the department's advanced courses (database management, systems analysis and design, cybersecurity, data analytics, etc.).
Textbook and / or References
• Laudon, K.C. and Laudon, J.P. Management Information Systems: Managing the Digital Firm, Pearson (current edition).
• O'Brien, J.A. and Marakas, G.M. Management Information Systems, McGraw-Hill (current edition).
• Current case studies, articles, and presentation notes shared throughout the course.
Course Objectives
• To provide students with the fundamental concepts of business and management science.
• To introduce the components, types, and strategic role of management information systems in businesses.
• To enable students to grasp the relationship between data, information, and decision-making processes.
• To develop the ability to evaluate current technology trends (artificial intelligence, cloud computing, big data).
• To raise awareness of information security, privacy, and ethical issues.
• To provide a foundational infrastructure that prepares students for the department's advanced courses (database management, systems analysis and design, cybersecurity, data analytics, etc.).
Course Outcomes
1. Defines fundamental business and management concepts (business functions, management processes, organizational structures); explains the concept of Management Information Systems (MIS) and its basic components (hardware, software, data, processes, people).
2. Explains the strategic, tactical, and operational role of information systems in businesses.
3. Compares basic information system types (TPS, MIS, DSS, ESS, ERP, CRM, SCM).
4. Interprets the relationship between data, information, and decision-making processes; evaluates the impact of digital transformation on businesses and society.
5. Explains the importance of security, privacy, and ethical issues in information systems.
6. Understands current technology trends (artificial intelligence, cloud computing, big data) within the context of MIS.
Tentative Course Plan
Week 1: Introduction to the course; overview of business and management concepts (types of businesses, basic business functions, organizational structures)
Week 2: Basic functions of management (planning, organizing, executing, coordinating, controlling) and introduction to decision-making processes
Week 3: Overview of Management Information Systems (MIS), the business-technology relationship, and basic components of information systems (hardware, software, data, networks, people)
Week 4: The strategic, tactical, and operational role of information systems in organizations and creating competitive advantage
Week 5: Transaction processing systems (TPS) and management information systems (MIS)
Week 6: Decision support systems (DSS) and executive support systems (ESS)
Week 7: Introduction to enterprise resource planning (ERP) systems
Week 8: Customer relationship management (CRM) and supply chain management (SCM) systems
Week 9: Data-information-wisdom hierarchy and data-driven decision-making
Week 10: Digital transformation, e-commerce, and new business models
Week 11: Information security, privacy, and ethical issues
Week 12: Artificial intelligence, cloud computing, big data, and future trends
Tentative Assesment Methods
Activities Number Weight (%)
Course Attendance/Participation 1 10%
Laboratory - -
Application - -
Homework 4 20%
Project - -
Presentation - -
Field Work - -
Internship - -
Course Boards - -
Quiz - -
Midterm Exam 1 30%
Final Exam 1 40%
Total 100%

Tentative ECTS-Workload Table
Activities Number/Weeks Duration (Hours) Workload
Course Hours (first 6 weeks) 6 4 24
Course Hours (last 6 weeks) 6 3 18
Laboratory - - -
Application - - -
Homework 4 10 40
Project - - -
Presentation - - -
Field Work - - -
Internship - - -
Course Boards - - -
Preparation for Quiz - - -
Preparation for Midterm Exam 1 15 15
Final Exam 1 30 30
Preparation for Final Exam 1 2 2
Study Hours Out of Class (preliminary work, reinforcement, etc.) 12 4 48
Total Workload 177
Total Workload / 30 177 / 30
5.900000
ECTS Credits of the Course 6
Program Outcome **
1 2 3 4 5 6 7 8 9 10 11
Course Outcome
1
2
3
4
5
6