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Cyprus International University
TR

ANALYTICAL DECISION MAKING

Course
MISY602 - ANALYTICAL DECISION MAKING
Department
Management Information Systems - English - PhD
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
-
Prerequisite
-
Keywords
-

Course Description

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ANALYTICAL DECISION MAKING

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to Decision Making
Week 2 Multiple Criteria Decision Making, Structuring the Problem, Cognitive Maps
Week 3 Fuzzy Cognitive Maps, Constructing the Decision Model
Week 4 Fuzzy Cognitive Maps, Constructing the Decision Model
Week 5 Preference modeling, Determining importance, Analyzing the Problem
Week 6 Elementary Methods, SAW, WP, TOPSIS, Sensitivity Analysis
Week 7 Elementary Methods, SAW, WP, TOPSIS, Sensitivity Analysis
Week 8 Analytic Hierarchy Process
Week 9 Midterm Exam
Week 10 Analytic Network Process, Super Decisions
Week 11 PROMETHEE, Group Decision Making
Week 12 Decision Making under Uncertainty and under Risk
Week 13 Utility Theory, Decision Trees
Week 14 Term Project Final Report & Presentations
Week 15 Term Project Final Report & Presentations

Reference Books & Course Materials

  1. 01 Thakkar J.J. 2021. Multi-Criteria Decision Making. Springer, Singapore.
  2. 02 Bozorg-Haddad O., Zolghadr-Asli B., Loáiciga H.A. 2021. A handbook on multi-attribute decision-making methods. Wiley, New Jersey.
  3. 03 Topcu Y.I., Özaydin Ö., Kabak Ö., Önsel Ekici Ş. 2021. Multiple Criteria Decision Making - Beyond the Information Age. Springer, Cham.
  4. 04 Taylor B.W. 2019. Introduction to Management Science. 13th edition, Pearson Education Inc., New Jersey.

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.

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