Decision Science
Analytical tools for complex business problems. Browse module-wise notes, preview available PDF resources, and use the related links on this page to move between nearby subjects and study guides.
Chapter Wise Notes
Quick Revision Notes
Condensed subject notes covering all modules for efficient revision and concept review.
Module 1 - Introduction to Operations Research
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Module 2 - Transportation and Assignment Problems
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Module 3 - Network Analysis
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Module 4 - Business in the Factor Market
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About This Subject
Decision Science is a core subject in BBA Semester 4 under the Calicut University FYUGP 2024 curriculum. This course introduces students to quantitative and analytical techniques used in business decision-making. Students study operations research methods including linear programming, transportation problems, assignment problems, and network analysis (PERT/CPM). The syllabus covers how mathematical models can optimize resource allocation, minimize costs, and schedule complex projects. By learning to formulate business problems as mathematical models and solve them using systematic techniques, students develop the analytical rigor required for data-driven management. This subject builds on the analytical foundation from earlier semesters and connects directly to operations management and strategic planning.
Key Topics Covered
- Introduction to operations research and decision-making models
- Linear programming: formulation, graphical method, and simplex method
- Transportation problem: NWCM, least cost, Vogel's approximation, MODI
- Assignment problem: Hungarian method and variations
- Network analysis: PERT and CPM for project scheduling
- Critical path identification, float calculations, and project crashing
- Game theory fundamentals and decision-making under uncertainty
- Queuing theory basics and service system optimization
- Inventory models and economic order quantity applications
- Decision trees and expected value analysis for business choices
Learning Outcomes
- Formulate business problems as linear programming models.
- Solve transportation and assignment problems using optimization methods.
- Apply PERT and CPM techniques to plan and schedule projects.
- Calculate critical paths, floats, and project completion times.
- Use decision trees and expected value analysis for strategic choices.
- Apply quantitative techniques to improve operational efficiency.
Exam Preparation Tips
Decision Science is heavily numerical. Master the graphical method of linear programming for 2-variable problems. For transportation problems, practice all three initial solution methods (NWCM, Least Cost, VAM) and the MODI method for optimality testing. The Hungarian method for assignment problems is frequently tested. For PERT/CPM, practice drawing network diagrams, identifying critical paths, and calculating earliest/latest times and floats. Work through multiple numerical problems from each topic to build speed and accuracy.
Frequently Asked Questions
What is Decision Science about?
It covers operations research techniques including linear programming, transportation, assignment, and network analysis for business decision-making.
Which semester includes this subject?
It is taught in BBA Semester 4 under the Calicut University FYUGP 2024 curriculum.
How many modules are included?
The syllabus has 4 modules covering OR introduction, transportation/assignment, network analysis, and advanced topics.
Is this subject numerical?
Yes, it is heavily numerical and requires consistent practice of optimization and scheduling problems.
Where can I find notes for this subject?
Module-wise PDF notes are available for free on the DegreeLive Decision Science subject page.
Related Subjects
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