Management Science (MGT4207) crash course, Online MBA, Semester 2:
This subject introduces the core quantitative tools of management science, including decision analysis, linear programming, transportation and assignment…
- 20 video lessons
- 6h 15m
- Study notes
- 100 quiz questions
- Assignment
20 lessons in Management Science
Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.
About this subject
This subject introduces the core quantitative tools of management science, including decision analysis, linear programming, transportation and assignment models, game theory, Markov chains and simulation. After it, you will be able to model real business problems with these techniques, solve them, and interpret the results to support better managerial decisions.
- 1
Introduction to Management Science
Module I, Introduction: Management Science: uses, scope, applications in managerial decision making, assumptions of management science models
Introduction to Management Science· Raz · 16 min
Study notes 5 quiz questionsWatch lesson - 2
Decision Making under Certainty, Uncertainty and Risk
Module I, Introduction: decision making environments: decisions under certainty, uncertainty and risk situation
1| Decision Making, Decision making Environment, Decision Making under certainty, Uncertainty, Risk· DWIVEDI GUIDANCE· 15 min
Study notes 5 quiz questionsWatch lesson - 3
Decision Tree Analysis
Module I, Introduction: decision tree approach and its applications
Decision Tree Analysis IN HINDI With Solved Practical by JOLLY Coaching· JOLLY Coaching· 13 min
Study notes 5 quiz questionsWatch lesson - 4
LP Formulation and Graphical Method
Module II, Linear Programming Problems: Linear Programming Problems: Modeling and Solution Methods - graphical method
[#1] LPP - Graphical method [ Maximization with 2 constraints ] solved problem :-by kauserwise· Kauser Wise· 14 min
Study notes 5 quiz questionsWatch lesson - 5
Simplex Method for Maximization and Minimization
Module II, Linear Programming Problems: simplex methods, problems with maximization and minimization objects
Lec -6 Simplex Method Maximization Problem In Hindi || Solve an example || Operation Research· Start Practicing· 38 min
Study notes 5 quiz questionsWatch lesson - 6
Duality in Linear Programming
Module II, Linear Programming Problems: duality and its managerial interpretation
Duality in Linear Programming | Primal to Dual Conversion | LPP· Dr.Gajendra Purohit· 29 min
Study notes 5 quiz questionsWatch lesson - 7
Sensitivity Analysis in Linear Programming
Module II, Linear Programming Problems: Sensitivity analysis: meaning, Change in Objective Function Coefficients, Change in Right Hand Side Values, Change in Availability of resources, Addition of a new variable
LP Sensitivity Analysis - Reduced Cost, Shadow Price, Optimality, Feasibility -Excel Output· Joshua Emmanuel· 12 min
Study notes 5 quiz questionsWatch lesson - 8
Transportation Problem: Initial Basic Feasible Solution
Module III, Transportation and Assignment Model: Transportation model: various methods of finding initial basic feasible solution and optimal solution
Lec-23 Vogel's Approximation Method Transportation Problem || In Hindi || Operation Research· Start Practicing· 18 min
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MODI Method and Degeneracy
Module III, Transportation and Assignment Model: MODI method, degeneracy
Lec-26 Modi Method Transportation Problem | In Hindi | Operation Research· Start Practicing· 31 min
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Unbalanced, Prohibited Route and Maximization Transportation Problems
Module III, Transportation and Assignment Model: unbalanced problems, prohibited route problems, maximization transportation problems
Lec-20 Unbalanced Transportation Problem || North West corner method solution || Operation Research· Start Practicing· 13 min
Study notes 5 quiz questionsWatch lesson - 11
Assignment Problem: Hungarian Method
Module III, Transportation and Assignment Model: Assignment Model: Hungarian method for solution, unbalanced assignment problems, restrictions on assignments
Assignment Problem | Hungarian Method | Unbalanced Assignment Problem· Dr.Gajendra Purohit· 15 min
Study notes 5 quiz questionsWatch lesson - 12
Travelling Salesman Problem
Module III, Transportation and Assignment Model: travelling salesman problem
Traveling Salesman Problem | Assignment Problem | Hungarian Method· Dr.Gajendra Purohit· 24 min
Study notes 5 quiz questionsWatch lesson - 13
Two-Person Zero Sum Games and Saddle Point
Module IV, Game Theory: Two-Person Zero Sum Games, Pure Strategies: Games with Saddle Point
Maxima Minima Principle in Game Theory | Saddle Point in Game Theory | Operation Research in Hindi· Start Practicing· 20 min
Study notes 5 quiz questionsWatch lesson - 14
Mixed Strategies and Dominance Principle
Module IV, Game Theory: Mixed Strategies: Games without Saddle Point, Principle of Dominance
Game Theory #2||Dominance Property||Pure & Mixed Strategy||in Operations Research||by Kauserwise· Kauser Wise· 21 min
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Solving Games without Saddle Point: Algebraic, Arithmetic and Graphical Methods
Module IV, Game Theory: Solution Methods for Games without saddle point – Algebraic Method, Arithmetic Method, Graphical Method
Analytical method | Games with mixed strategy | 2×2 games without saddle point· Sandeep Kumar Gour· 11 min
Study notes 5 quiz questionsWatch lesson - 16
Introduction to Markov Chains
Module V, Markov Chains: Markov Chains: introduction, characteristics, applications
Intro to Markov Chains & Transition Diagrams· Dr. Trefor Bazett· 11 min
Study notes 5 quiz questionsWatch lesson - 17
Transition Probabilities and Steady State
Module V, Markov Chains: state and transition probabilities, steady-state probability (equilibrium conditions)
Markov Chain 03 | Steady State Condition with Solved Numericals | BeingGourav.com· Gourav Manjrekar (BeingGourav)· 31 min
Study notes 5 quiz questionsWatch lesson - 18
Absorbing States in Markov Analysis
Module V, Markov Chains: absorbing states and other applications of Markov Analysis
Markov Analysis - Absorbing State· fiza mnoor· 12 min
Study notes 5 quiz questionsWatch lesson - 19
Simulation: Meaning, Types and Process
Module VI, Simulation: Simulation: meaning, types of simulation, steps of simulation process
simulation|Types|advantage|disadvantage|monto carlo simulation|operation research| In hindi· Genius classroom With Gayatry · 16 min
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Monte Carlo Simulation and Applications
Module VI, Simulation: Monte Carlo simulation, applications of simulation
Monte Carlo Simulation | Applications of Simulation | Techniques of simulation· Sachin Education Hub· 15 min
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Assignment
Management Science Problem Set: From Decisions to Simulation
Less scrolling. More passing.
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Hand-picked video lessons
20 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.
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Study notes
20 lessons come with a summary, key points, key terms and takeaways for quick revision.
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Quizzes
100 questions across the course, with the right answer and why, the moment you pick.
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Assignments
1 subject assignments with clear tasks, so you practise what each subject actually asks of you.
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Notebook
Write notes beside the video, stamped with the exact time, and jump back to that moment later.
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Progress that follows you
Completed lessons, quiz scores and where you stopped, saved to your account on every device.
- Live chat pass
Live chat
A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.
The Online MBA live chat. Study together, live.
A live chat right beside the video, shared by everyone studying Online MBA. Ask a Management Science doubt mid-lesson, share a shortcut, celebrate a finished semester.
- Live chat beside every lesson
- One live chat for all of Online MBA
- Members-only stickers & GIFs
- One ₹19 pass opens every live chat
Online MBA live chat
Anyone else finding Management Science tricky? 😅
Lesson 2 cleared it up for me. Watch it before the quiz

Doing it now, thanks!
Starting Business Analytics tonight if anyone wants to go together
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Management Science: common questions
This subject introduces the core quantitative tools of management science, including decision analysis, linear programming, transportation and assignment models, game theory, Markov chains and simulation. After it, you will be able to model real business problems with these techniques, solve them, and interpret the results to support better managerial decisions. It's the Management Science subject of Online MBA, Semester 2, in 20 lessons: Introduction to Management Science; Decision Making under Certainty, Uncertainty and Risk; Decision Tree Analysis; LP Formulation and Graphical Method; Simplex Method for Maximization and Minimization; Duality in Linear Programming; Sensitivity Analysis in Linear Programming; Transportation Problem: Initial Basic Feasible Solution; MODI Method and Degeneracy; Unbalanced, Prohibited Route and Maximization Transportation Problems; Assignment Problem: Hungarian Method; Travelling Salesman Problem; Two-Person Zero Sum Games and Saddle Point; Mixed Strategies and Dominance Principle; Solving Games without Saddle Point: Algebraic, Arithmetic and Graphical Methods; Introduction to Markov Chains; Transition Probabilities and Steady State; Absorbing States in Markov Analysis; Simulation: Meaning, Types and Process; Monte Carlo Simulation and Applications.
Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.
About 6h 15m of video across 20 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.
Yes: “Management Science Problem Set: From Decisions to Simulation”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.
A members-only live chat beside the video, shared by everyone studying Online MBA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.
No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.