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FUNDAMENTALS OF MIS

Course
MISY363 - FUNDAMENTALS OF MIS
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)
Assoc. Prof. Dr. Damla KARAGÖZLÜ
Prerequisite
-
Keywords
-

Course Description

-

FUNDAMENTALS OF MIS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

  1. 01 Recognize with the role of information systems in modern organizations
  2. 02 Understand and distinguish various types of business information systems existing in organizations
  3. 03 Identify the factors effecting the relationship between information systems and organizational culture, structure, politics, business processes, and environment.
  4. 04 Understand and discuss intelligently the ethical and security issues relating to the use of information systems.
  5. 05 Define the IT infrastructure and emerging technologies

Course Syllabus

Week Topic
Week 1 Introduction
Week 2 Information Systems in Global Business Today
Week 3 Information Systems in Global Business Today
Week 4 Global E-Business: How Businesses Use Information Systems
Week 5 Global E-Business: How Businesses Use Information Systems
Week 6 Information Systems, Organizations and Strategy
Week 7 Revision
Week 8 Midterm Week
Week 9 Midterm Week
Week 10 Information Systems, Organizations and Strategy
Week 11 Ethical and Social Issues in Information Systems
Week 12 Ethical and Social Issues in Information Systems
Week 13 Ethical and Social Issues in Information Systems
Week 14 Project Presentations
Week 15 Project Presentations

Reference Books & Course Materials

  1. 01 Kenneth C. Laudon, Jane P. Laudon, "Management Information Systems, Managing The Digital World", 17th Edition, Pearson

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. Demonstrate mastery of advanced research methodologies (quantitative, qualitative, and mixed methods) by critically analyzing literature, identifying research gaps, and designing original studies that contribute to MIS theory and practice.
  2. Conduct and defend an original doctoral dissertation that reflects independent scholarly inquiry, academic rigor, and a significant contribution to the advancement of knowledge in MIS.
  3. Exhibit readiness for thesis monitoring and defense by articulating the philosophical foundations of research paradigms, positioning one's research within these frameworks, and responding to scholarly critique.
  4. Apply ethical principles, academic integrity, and responsible conduct of research in all phases of the research process, including data collection, analysis, reporting, and publication.
  5. Identify and address the social, legal, and ethical implications of information systems research and its applications within organizational and societal contexts.
  6. Employ advanced data science techniques, including statistical modeling, machine learning, and AI-based analytics, to examine complex datasets and extract meaningful insights in MIS research.
  7. Recognize and evaluate emerging technologies such as artificial intelligence, big data, blockchain, and the Internet of Things, assessing their transformative impact on organizational processes and digital ecosystems.
  8. Collaborate and lead in interdisciplinary research environments, establishing productive scientific partnerships and managing research projects that integrate diverse academic perspectives.
  9. Publish high-quality research in peer-reviewed journals, present findings at international conferences, and actively engage in academic service such as journal reviewing, conference organizing, and committee participation.
  10. Identify challenges and propose innovative, research-based solutions at the intersection of information systems, technology, and organizational strategy.
  11. Deliver advanced-level MIS courses, supervise graduate research, and nurture academic development through effective mentorship and scholarly teaching.
  12. Develop advanced information systems and decision support systems that align IT capabilities with organizational strategies using systems thinking and innovative design methodologies.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.