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Lecture 25 : CSR Design and Implementation: Stakeholder Integration (Contd.), by Aradhna Malik

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Lecture 25 : Generation of Random Variates, by Biswajit Mahanty

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Lecture 25 : Writers Block, by Aradhna Malik

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Lecture 25, by Deep Mukerjee

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Lecture 25: Consumer Choice Involving Risk (Part 2), by Deep Mukerjee

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Lecture 25: Employees all over the World, by Chhanda Chakraborti

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Lecture 25: Machine Learning Part 2, by Deepu Philip

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Lecture 25: Managing Demand and Capacity-I, by Biplab Datta

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Lecture 25: Probability Distributions-II, by Deepu Philip

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Lecture 25: Proofs with all Rules, by Chhanda Chakraborti

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Lecture 25: Reasoning & Decision Making-III, by Ark Verma

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Lecture 25: Simple Comparative Experiments, by Deepu Philip

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Lecture 26 : CSR Activities: Corporate Social Performance, by Aradhna Malik

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Lecture 26 : Revising, by Aradhna Malik

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Lecture 26-Attention-II, by Ark Verma

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Lecture 26, by Deep Mukerjee

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Lecture 26: ANOVA-Part 1, by Deepu Philip

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Lecture 26: Completeness : What it is, by Chhanda Chakraborti

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Lecture 26: Managing Demand and Capacity-II, by Biplab Datta

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Lecture 26: Neoclassical Production Function, by Deep Mukerjee

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Lecture 26: Simulation Examples (Contd.), by Biswajit Mahanty

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Lecture 26: The Ethical Corporation : Natural Environment, by Chhanda Chakraborti

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Lecture 26: Valid Model for Input Data, by Deepu Philip

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Lecture 26:, by Anjali Gera Roy

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Lecture 27 : CSR Design and Implementation: CSR Process, by Aradhna Malik

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Lecture 27 : Mistakes & Fallacies, by Aradhna Malik

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Lecture 27 :, by Anjali Gera Roy

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Lecture 27-Attention-III, by Ark Verma

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Lecture 27, by Deep Mukerjee

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Lecture 27: ANOVA-Part 2, by Deepu Philip

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Lecture 27: Designing the Physical Evidence, by Biplab Datta

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Lecture 27: Indirect Proof, by Chhanda Chakraborti

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Lecture 27: Isoquants (Part 1), by Deep Mukerjee

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Lecture 27: Machine Learning Part 4, by Deepu Philip

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Lecture 27: Monte-Carlo Simulation and Output Analysis, by Biswajit Mahanty

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Lecture 28 : CSR Activities, by Aradhna Malik

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Lecture 28 : Editing & Proofreading, by Aradhna Malik

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Lecture 28 : HR Measurement and Accountability, by A Malik

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Lecture 28 : Variance Reduction and Simulation Software, by Biswajit Mahanty

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Lecture 28 :, by Anjali Gera Roy

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Lecture 28-Attention-IV, by Ark Verma

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Lecture 28: ANOVA-Part 3, by Deepu Philip

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Lecture 28: Conditional Proof, by Chhanda Chakraborti

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Lecture 28: Introduction to Health Insurance, by Deep Mukerjee

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Lecture 28: Isoquants (Part 2), by Deep Mukerjee

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Lecture 28: Machine Learning Part 5, by Deepu Philip

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Lecture 29 : Bases for Evaluation of CSR Activities, by Aradhna Malik

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Lecture 29 : Choosing a Journal to Publish in, by Aradhna Malik

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Lecture 29 :, by Anjali Gera Roy

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Lecture 29-Memory-I, by Ark Verma

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