DECISION SUPPORT SYSTEMS

Course Description

This course provides an in-depth study of Decision Support Systems (DSS) and their role in enhancing managerial decision-making. It explores the fundamental components of DSS, including mathematical models, databases, and user interfaces, and demonstrates how they support semi-structured problem-solving in business contexts. Students will learn methods of decision-making, reasoning, and inferencing, along with the application of operations research tools and optimization techniques. The course also introduces expert systems, knowledge acquisition, and model manipulation as part of DSS development. Through hands-on projects and practical case studies, students will design and implement DSS solutions, gaining both technical and managerial perspectives on improving organizational decision-making.

DECISION SUPPORT SYSTEMS

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 The student should be able to identify the main concepts of decision support systems (DSS)
2. 02 The student should be able to recognize the components of DSS and the main participants in the decision-making process
3. 03 To be able to identify the the various models and their analysis
4. 04 To be able to develop DSS and its life cycle
5. 05 To recognize the role of intelligent systems in DSS

Course Syllabus

Reference Books & Course Materials

1. 01 George M. Markas, 2011, "Decision support systems in the 21st century", 2nd edition, Pearson education

Learning Outcomes

1. L01 The student should be able to identify the main concepts of decision support systems (DSS)
2. L02 The student should be able to recognize the components of DSS and the main participants in the decision-making process
3. L03 To be able to identify the the various models and their analysis
4. L04 To be able to develop DSS and its life cycle
5. L05 To recognize the role of intelligent systems in DSS

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