MASTER OF BUSINESS ADMINISTRATION

ODL SLM-Contents

M.B.A.

SLM-Content Page

ODL SLM-Contents

Course 1 20MS3001 ACCOUNTING FOR MANAGERS

MODULE 1- Introduction to Financial Accounting

• Lecture 1: Financial Accounting Vs. Management Accounting and Financial Accounting Vs

Cost Accounting - Need and Importance

• Lecture 2: Accounting Concepts and Conventions – Golden Rules of Accounting

• Lecture 3: Preparation of Final Accounts.

MODULE II - Financial Statement Analysis • Lecture 1: Features - Tools and Techniques - Comparative and Common Size Income

Statements and Balance sheets

• Lecture 2: Case Studies- Ratio Analysis – Types of ratios relating to Liquidity, Activity,

Profitability and Leverage Ratios

• Lecture 3: Merits and Demerits of ratio analysis – Interpretation of the ratios.

MODULE III - Fund and Cash Flow Statement

• Lecture 1: Fund flow from operations – Meaning – Difference between Fund flow and

Cash flow

• Lecture 2: Preparation and Analysis of Fund Flow and Statement of Cash flows as per

IND AS-7

• Lecture 3: Practical applications in accounting software

MODULE IV - Cost Accounting & Management Accounting

• Lecture 1: Cost Concepts - Classification - Methods – Cost Sheet – Marginal Costing -

CVP- Break-even analysis

• Lecture 2: Cost Accounting Standards - Standard Costing – Types – Variance Analysis

particularly Material and Labor Variances

• Lecture 3: Budgeting - Flexible, Fixed and Cash Budgeting and Budgetary Control Process.

MODULE V - Financial Reporting

• Lecture 1: An overview of International Financial Reporting Standards (IFRS) and

IND AS particularly in Preparation of Consolidated Financial Statements,

• Lecture 2: Inventory Valuation

• Lecture 3: Current and Non Current Assets Valuation Procedures.

MODULE VI - The Corporate Annual Reports

• Lecture 1: Read and understand the contents in the annual reports in order to suit the

requirements of Listed and Unlisted Companies in India

• Lecture 2: Comparing and interpreting the results to know the growth of the

company

• Lecture 3: Presentation of the annual report in the Board Meeting

Course 2 20MS3002 APPLIED LAW IN BUSINESS

MODULE 1- Introduction to Law and Business

• Lecture 1: Introduction to Legal Environment - Development of Business Law in Independent

India

• Lecture 2: Meaning and Nature of Law - Sources of Indian Law

• Lecture 3: Indian Legal System

MODULE II - Contract Law

• Lecture 1: Business and Contract Law in India - Formation of Contract

• Lecture 2: Essentials of Valid Contract - Performance of Contract - Discharge of contract

• Lecture 3: Remedies for Breach of Contract - Quasi Contract

MODULE III - Sale of Goods & Special Contracts

• Lecture 1: Sale of Goods Principles - Conditions and warranties -Transfer of Property -

Remedies of Unpaid seller; Special Contracts

• Lecture 2: Bailment and Pledge; Guarantee and Indemnity; Agency-Agent- Principal.

• Lecture 3: Negotiable Instruments - Relation between bank and a customer – Bouncing of

Cheque

MODULE IV - Indian Companies, Shop and Establishment Regulations

• Lecture 1: Company Law - Introduction–Incorporation of company - Prospectus and Raising of

Capital – Meetings– Directors- Winding up

• Lecture 2: Corporate Ethics in Business- Shop and Establishment Act in India; Registration

Procedure and License, Commercial Establishments - Opening and Closing time, Work hours,

Employment of children, young person and women

• Lecture 3: Health, Safety, Leave, Wage Payments, GST Registration Process

MODULE V - Consumer Protection, IPR, ITACT & RTI

• Lecture 1: Formation of Consumer Protection Act - Unfair Trade Practices - Negligence

and Consumer Rights – Consumer Disputes redressed agencies

• Lecture 2: Protecting the Intellectual property of Business - Patent - Copy Right - Trademark;

Information Technology and Law;

• Lecture 3: Digital Signature – Recognition of Electronics Record – Data Protection; Right to

Information Act – Public Authority – Information – Procedure for requesting Information –

Fees & Charges.

MODULE VI - Outline On Global Scenario & AI in Law

• Lecture 1: Contract Law for the International Business, Global Cyber Law, International

Intellectual Property. Application of AI in Business Law

• Lecture 2: Contract Review, Contract Analysis, Legal Research, Litigation Predictions

• Lecture 3: Intellectual Property Search

Course 3 20MS3003 MARKETING FOR BUSINESS

MODULE 1- Introduction to Marketing

• Lecture 1: Definition & Functions of Marketing- Scope of Marketing, Evolution of Marketing,

Core concepts of marketing, Marketing v/s Selling

• Lecture 2: Key customer markets, market places, market spaces, Meta-markets, Digital

Markets, Brick & Click Model. Impact of Globalization, Technology and Social

Responsibility on Marketing.

• Lecture 3: New Consumer Capabilities, New Company Capabilities. Functions of Marketing

Manager, Concept of Marketing Environment, Marketing Plan

MODULE II - Consumer Behavior

• Lecture 1: Meaning & importance of consumer behavior, Comparison between Organizational

Buying behavior and consumer buying behavior, Buying roles, Five steps consumer buyer

decision process

• Lecture 2: Problem Recognition, Information Search, Evaluation of Alternatives, Purchase

Decision, Post Purchase behavior

• Lecture 3: Moment of Truth, Zero Moment of Truth (ZMOT), Managing Cust6mer Value

MODULE III - Marketing and Selling Strategies

• Lecture 1: Segmentation - Concept, Need & Benefits. Geographic, Demographic,

Psychographic, Basis for segmentation for business markets. Levels of segmentation, Criteria

for effective segmentation

• Lecture 2: Target Market - Concept of Target Markets and criteria for selection. Segment

Marketing, Niche & Local Marketing, Mass marketing, Long Tail Marketing..

• Lecture 3: Positioning –POD and POP, Value Proposition & Unique Selling Proposition, Sales

Approaches, Sales Force Management

MODULE IV - Marketing Mix

• Lecture 1: Origin & Concept of Marketing Mix, 7P’s - Product, Price, Place, Promotion,

People, Process, Physical evidence

• Lecture 2: Product Life Cycle: Concept & characteristics of Product Life Cycle (PLC),

Relevance of PLC, New Product Development.

• Lecture 3: Pricing, Semiotics: Strategies for Media and Brand Communication, Channel

Management.

MODULE V - Digital Marketing

• Lecture 1: e Marketing-Basics, Online reputation management, E- Branding, Social media

strategies, SEM, SEO

• Lecture 2: Community building, Building E-customer relationship,

• Lecture 3: Customer Engagement, Performance Metrics, Measuring and Evaluating Web

Program Effectiveness.

MODULE VI - Marketing Approaches

• Lecture 1: To be delivered by Industry Experts) Business to Business Marketing, Branding

strategies, Managing Digital Business,

• Lecture 2: Managing Service Business, Market Research and Information Systems,

Strategic Marketing, Strategic Models in Marketing

• Lecture 3: Marketing Metrics for managing results, Marketing to Base Of Pyramid (BOP),

Social Marketing.

Course 4 20MS3004 ORGANIZATIONAL BEHAVIOUR AND MANAGEMENT

MODULE 1- Introduction to Principles of Management

• Lecture 1: Management – Definition–levels of management - POSDCORB – Theories of

management– Frederick Taylor’s Scientific Management Theory,

• Lecture 2: Henri Fayol's Administrative theory of management-Planning and Organising –

managerial skills

• Lecture 3: Management practices in corporate, NOGs, Government utilities

MODULE II - Introduction to Organisational Behaviour

• Lecture 1: Management by Objective- Definition, need and its limitations-Organisational

Behaviour – definition- opportunities and importance

• Lecture 2: contributing disciplines, Hawthorne studies,

• Lecture 3: Approaches to OB– Challenges to OB.

MODULE III - Interpersonal Skills

• Lecture 1: Importance of interpersonal skills - Emotional Intelligence – Goleman’s theory on

Emotional Intelligence

• Lecture 2: stress management –work stress management.

• Lecture 3: Communication - interpersonal communication - Methods to improve interpersonal

Communication

MODULE IV - Individual Behaviour& Motivation

• Lecture 1: Foundations of individual behaviour - Understanding and managing individual

behaviour - Attitudes – its influence on behaviour

• Lecture 2: Personality - concepts, theories- The Myers-Briggs Type Indicator, Big Five Model–

Perception.

• Lecture 3: Motivation – theories – Maslow’s Hierarchy of Needs theory, Douglas McGregor’s

X, Y Theory, Herzberg’s Motivation Hygiene Theory –Motivation and Individual decision

making

MODULE V - Leadership and Group Behaviour

• Lecture 1: Leadership theories and styles - Power and politics - group formation – norms –

cohesiveness

• Lecture 2: group decision making – Group behaviour,

• Lecture 3: Team building - Conflicts and negotiation

MODULE VI - Organizational change and emerging aspects of organizational behavior

• Lecture 1: OCTAPACE – organizational change and innovation: approaches and resistance

to change – Levin’s three steps model- Comparative Management Styles and approaches,

• Lecture 2: Japanese Management Practices - Organizational behaviour across cultures

• Lecture 3: Conditions affecting cross cultural organizational operations, Managing International

Workforce, Productivity and cultural contingencies, Management of Diversity.

Course 5 20MS3005 STATISTICS FOR BUSINESS

MODULE 1- Introduction to Statistics

• Lecture 1: Introduction to Statistics, Importance of Statistics in modern business environment.

Definition of Statistics, Scope and Applications of Statistics Characteristics of Statistics,

Functions of Statistics, Limitations of Statistics,

• Lecture 2: Statistical Softwares - Scales of Measurement, Units or Individuals - Population or

Universe –Sample -Quantitative -Characteristic - Qualitative Characteristic – Variable

• Lecture 3: Collection of Data- Primary Data - Secondary Data - Pilot survey , Scrutiny and

Editing of Data, Descriptive Statistics

MODULE II - Classification, Tabulation and Presentation of Data

• Lecture 1: Introduction , Functions of Classification - Requisites of a good classification -

Types of classification - Methods of classification ,Tabulation - Basic difference between

classification and tabulation -Parts of a table -Types of table

• Lecture 2: Frequency and Frequency Distribution - Derived frequency distributions - Bivariate

and multivariate frequency distribution

• Lecture 3: Construction of frequency distribution , Presentation of Data – Diagrams, Graphical

Presentation,

MODULE III - Testing of Hypothesis

• Lecture 1: Introduction – Large Samples – Assumptions , Testing Hypothesis - Null and

alternate hypothesis - Interpreting the level of significance - Hypotheses are accepted and not

proved , Selecting a Significance Level

• Lecture 2: Preference of type I error - Preference of type II error - Determine appropriate

distribution, Two – Tailed Tests and One – Tailed Tests - Two – tailed tests

• Lecture 3: Classification of Test Statistics - Statistics used for testing of hypothesis - Test

procedure - How to identify the right statistics for the test, T-Test and F-Test

MODULE IV - Chi – Square Test

• Lecture 1: Introduction , Chi-Square as a Test of Independence - Characteristics of 2 test -

Degrees of freedom - Restrictions in applying 2 test - Practical applications of 2 test - Levels

of significance - Steps in solving problems related to Chi-Square test • Lecture 2:

Interpretation of Chi-Square values , Chi-Square Distribution - Properties of 2 distribution -

Conditions for applying the Chi-Square test

• Lecture 3: Uses of 2 test, Applications of Chi-Square test - Tests for independence of attributes

- Test of goodness of fit

MODULE V - Non-Parametric test

• Lecture 1: Mann-Whitney U Test, Wilcoxon Signed Rank Test, Kolmogorov–Smirnov

Test, Fisher Exact Test, Goodmanand Kruskal Lambda Test

• Lecture 2: Kendall’s Coefficient of Concordance, Goodman and Kruskall’s Gamma, McNemer

Test, Walsh Test

• Lecture 3: Kruskall–Wallis One-way ANOVA Test, Friedman Two-way ANOVA, Cochran’s Q

Test

MODULE VI - Business Forecasting

• Lecture 1: Introduction, Business Forecasting - Objectives of forecasting in business -

Prediction, projection and forecasting - Characteristics of business forecasting,

• Lecture 2: Steps in forecasting , Methods of Business Forecasting - Time series analysis

• Lecture 3: Regression analysis - Modern econometric methods, Auto Regression, Auto

Correlation, ARCH and GARCH Models. Limitations of business forecasting.

Course 6 20MS3006 ECONOMICS FOR MANAGERS

MODULE 1- Nature And Scope Of Managerial Economics

• Lecture 1: Definition of economics, Branches of economics

• Lecture 2: Meaning, Nature, Scope and significance of managerial economics,

• Lecture 3: Objectives of the firm

MODULE II - Demand And Supply Analysis

• Lecture 1: Demand Analysis: Introduction, Meaning and Law of Demand

• Lecture 2: Elasticity of Demand

• Lecture 3: Exceptions to law of demand.

MODULE III - Demand Forecasting

• Lecture 1: Introduction, Meaning and Forecasting, Level of Demand Forecasting, Criteria for

Good Demand Forecasting, Methods or Techniques of Demand Forecasting, Survey Methods,

Statistical Methods, Demand Forecasting for a New Products.

• Lecture 2: Supply & Market Equilibrium: Introduction, Meaning of Supply and Law of Supply,

Exceptions to the Law of Supply, Changes or Shifts in Supply.

• Lecture 3: Elasticity of supply, Factors Determining Elasticity of Supply, Practical Importance,

Market Equilibrium and Changes in Market Equilibrium

MODULE IV - Production And Cost Analysis

• Lecture 1: The production function, a short-run analysis of total, Average and marginal product,

the long run production function, the estimation of production functions

• Lecture 2: Law of returns to scale - Cost and revenue concepts.

• Lecture 3: short run, long run cost-output relationship

MODULE V - Market Structure And Pricing

• Lecture 1: Characteristics of different Market Structures

• Lecture 2: Price and output determination under perfect competition

• Lecture 3: Monopoly, Monopolistic, Oligopoly

MODULE VI - Macro Economics

• Lecture 1: Macro Economics - Introduction, Basic Concepts, Macroeconomic Ratios, Index

Numbers, National Income Deflators - Consumption Function and Investment Function

• Lecture 2: Multiplier, Accelerator - Stabilization Policies- Instruments of economic

Stability

• Lecture 3: Monetary Policy, Fiscal Policy, Business Cycle, Meaning and Features, Theories of

Business Cycles, Measures to Control Business Cycles

Course 7 20MS3007 ARTIFICIAL INTELLIGENCE FOR BUSINESS

MODULE 1- Introduction to AI

• Lecture 1: Basic Concepts of AI, History of AI, AI, Big Data, Data Science, Machine Learning

: How are they related?,

• Lecture 2: AI Problems, The underlying assumptions, What is an AI technique?, Criteria for

success, problems, problem spaces and search

• Lecture 3: Defining problem as a state space search evolving role of managers in the age of AI.

MODULE II - Basics of Python

• Lecture 1: Concepts, Data Types, Evaluation, Basic I/O operations

• Lecture 2: Flow control, Loops and conditional blocks,

• Lecture 3: Data collection – Lists, Tuples, dictionaries and functions.

MODULE III - Introduction to Machine Learning

• Lecture 1: Machine Learning - Definition, Supervised Vs Unsupervised learning.

• Lecture 2: Decision Trees

• Lecture 3: Dimensionality reduction and reinforcement learning algorithms.

MODULE IV - Natural Language and Robotics – An introduction

• Lecture 1: Speech recognition, Natural language generation, chatbots,

• Lecture 2: Robotics, Human-robot interaction, Mobile robots,

• Lecture 3: case study :Autonomous vehicles technologies and impacts

MODULE V - AI applications in different areas

• Lecture 1: AI for customer experience management

• Lecture 2: AI and business support functions

• Lecture 3: putting AI to work – strategy, platforms, people, organization and society.

MODULE VI - AI & Future of work

• Lecture 1: Ethical and legal considerations in AI

• Lecture 2: Privacy, Bias, AI & the future of work

• Lecture 3: appropriate uses of AI, emerging developments.

Course 8 20MS3008 BUSINESS RESEARCH METHODS

MODULE 1- Introduction to Business Research

• Lecture 1: Meaning, Objectives, Motivation, Utility. Concept of theory, empiricism, deductive

and inductive theory. Theory Building and Testing – Understanding the language of research

– Concept, Construct, Definition, Variable. Research Process

• Lecture 2: Problem Identification & Formulation – Research Question – Investigation Question

–Review of Literature

• Lecture 3: Hypothesis – Qualities of a good Hypothesis –Null Hypothesis & Alternative

Hypothesis. Hypothesis Testing – Logic & Importance.

MODULE II - Research Design

• Lecture 1: Concept and Importance in Research – Features of a good research design –

Exploratory Research Design – concept, types and uses, Descriptive Research Designs –

concept, types and uses.

• Lecture 2: Experimental Design: Concept of Independent & Dependent variables

• Lecture 3: Qualitative and Quantitative Research: Qualitative research – Quantitative research –

Concept of measurement, causality, generalization, replication. Merging the two approaches.

. MODULE III - Sampling Techniques & Data Collection

• Lecture 1: Sampling: Concepts of Statistical Population, Sample, Sampling Frame, Sampling

Error, Sample Size, Non-Response. Characteristics of a good sample. Probability Sample –

Simple Random Sample, Systematic Sample, Stratified Random Sample & Multi-stage

sampling.

• Lecture 2: Determining size of the sample – Practical considerations in sampling and sample

size. Data Collection: Sources of data collection Primary and secondary sources – Merits and

limitations.

• Lecture 3: Methods of collecting primary data - Types of observation. Secondary data sources

and data validation,

MODULE IV - Data Analysis

• Lecture 1: Data Preparation – Univariate analysis :Data Visualization - Choosing appropriate

charts using Tableau Software- Bivariate analysis : Correlation and Simple Regression,

• Lecture 2: Multivariate Analysis: Multiple regression model, Factor analysis, Cluster analysis,

discriminant analysis (using R software or Python or SPSS)

• Lecture 3: Structural Equation Modelling (SEM) and Confirmatory Factor Analysis (CFA) using

AMOS software (only basics) - Neural Networks.

MODULE V - Report Writing

• Lecture 1: Project Report and Paper Writing: Research Project Report –

Imperatives, Layout of a Research Paper, Journals in Management Science

• Lecture 2: Impact factor of Journals, When and where to publish? Ethical issues related to

publishing

• Lecture 3: Monograph – an overview–How to write a research monograph- Format of

monograph-How to publish monograph.

MODULE VI - Referencing

• Lecture 1: Referencing: Use of tools / techniques for Research: methods to search required

information effectively

• Lecture 2: Reference Management Software like Zotero/Mendeley

• Lecture 3: Software for paper formatting like LaTeX, Software for detection of Plagiarism like

Turnitin.

Course 9 20MS3009 BUSINESS DECISION MODELS

MODULE 1- Linear Programming

• Lecture 1: Formulation of LPP – Graphical, Simplex and two phase methods to solve LPP using

software

MODULE II - Transportation

• Lecture 1: Finding optimal solution for balanced and unbalanced transportation problem using

software

MODULE III - Assignment & Sequencing • Lecture 1: Solving Assignment - Hungarian method using software.

• Lecture 2: Job sequencing - processing of n jobs through 2 machines, 3 machines

• Lecture 3: n jobs through m machines using software

MODULE IV - Game Theory

• Lecture 1: Games and Strategies – Two – Person Zero Sum game

• Lecture 2: Maxmin – Minmax Principle,

• Lecture 3: Dominance Theory – solving problems using software

MODULE V - Queuing theory

• Lecture 1: Basic queuing situations

• Lecture 2: single server queuing model M|M|1: ∞|FIFO queue

• Lecture 3: M|M|C: ∞|FIFO using software

MODULE VI - Network Models

• Lecture 1: Solving Network models for project analysis

• Lecture 2: CPM, network construction and time analysis

• Lecture 3: cost time trade off, PERT using software

.

Course 10 20MS3010 CORPORATE STRATEGY

MODULE 1- Strategic Management

• Lecture 1: Introduction – Definitions, Strategic Leadership

• Lecture 2: Strategic Managers

• Lecture 3: Strategic Making Process

MODULE II - Internal, External Analysis and other Strategic Models

• Lecture 1: Micro and Macro Environment, SWOT, IFE, EFE

• Lecture 2: Five Forces Model

• Lecture 3: Industry Life Cycle Analysis, Value Chain, DuPont Analysis, BCG Matrix, 7S

Model

MODULE III - Competitive Advantage • Lecture 1: Efficiencies and Economies of Scale, Quality Improvement.

• Lecture 2: Super Innovation, Positioning and Business Models,

• Lecture 3: Generic Business level strategies.

MODULE IV - Business Level Strategies and Environment

• Lecture 1: Strategies in fragmented industries

• Lecture 2: Strategies using Life Cycle

• Lecture 3: Strategies in Mature industry

MODULE V - Corporate Level Strategies

• Lecture 1: Horizontal Integration

• Lecture 2: Vertical Integration

• Lecture 3: Strategic Outsourcing, Related and Unrelated Diversification

. MODULE VI - Strategy Implementation and Control

• Lecture 1: Stake Holder impact analysis, Agency Theory, Strategic Control Systems,

• Lecture 2: Strategies in Global environment: Licensing, Franchising

• Lecture 3: Joint Ventures, wholly owned Subsidiaries, Exporting

Course 11 20MS3011 FINANCIAL MANAGEMENT

MODULE 1- Financial Management Environment and Functions

• Lecture 1: Overview of Financial Management – Wealth Vs Profit Maximization

criterion

• Lecture 2: Treasury and controlling decisions in Financial Management

• Lecture 3: Functions of Financial Management-Basic Concepts and types of Risk and Returns.

MODULE II - Business Valuations and Dividend Decision

• Lecture 1: Time Value of money – Importance, rationale, Present Value, Future value and

compounding techniques (problems). (MS Excel oriented practice)

• Lecture 2: Financial Modelling using R- Principles of valuations- Decision Tree Analysis

Application

• Lecture 3: Dividend and Retention Policies, Dividend practices in Manufacturing and Service

Sector companies-Case Studies; Dividend models (problems). Dividend Factors & Price

Valuation through Dividend models (problems)

MODULE III - Capital Structure & Cost of Capital • Lecture 1: Capital Structure Theories – Net Income approach, Net Operating Income approach,

Modigliani & Miller approach, Traditional approach

• Lecture 2: Cost of Capital- Importance-computation of overall cost of capital (problems).

• Lecture 3: Valuation of Bonds and shares (problems).

MODULE IV - Leverages and Valuation

• Lecture 1: Analysis of Operating and Financial Leverages and Composite Leverages (problems)

• Lecture 2: Case on Leverage Issue, Indifference Point

• Lecture 3: EBIT-EPS Analysis

MODULE V - Working Capital Management

• Lecture 1: Significance, Purpose, Types of Working Capital, Working capital Approaches

• Lecture 2: WC cycle, Cash cycle and Determinants of working capital - Estimation of Working

Capital requirements (problems).

• Lecture 3: Models of Accounts Receivables Management, Cash Management and Inventory

Management.

. MODULE VI - Investment Appraisal and Decisions on Source of Funds

• Lecture 1: Capital Budgeting – Capital Rationing – Evaluation Techniques –Avenues for

New Entrepreneurs- Sources of Funds - Internal, External, Spontaneous, short-term,

Intermediate and Long-term Source of Funds in Private Sector and Public Sector

Enterprise,

• Lecture 2: Social Banking, Start up Financing and Venture Capital Financing

• Lecture 3: Angel funding, Assessing and Bankruptcy Resolutions as per the Framework of

Insolvency and Bankruptcy Board of India (IBBI) - Cases on Insolvencies

Course 12 20MS3012 HUMAN RESOURCE MANAGEMENT

MODULE 1- Introduction to HRM

• Lecture 1: Nature And Scope Of Human Resource Management – Basic Functions of

Human Resource Management

• Lecture 2: Goals - Competitive Environment for Human Resource Management - Corporate

Strategy and Human Resource Management

• Lecture 3: Human Resource Management as Line and Staff Responsibilities – Human Resource

Management Models.

MODULE II - HR Planning, Recruitment & Selection

• Lecture 1: Human Resource Planning – Sources - Process – Methods - Job Analysis Process

• Lecture 2: Job Design Approaches -Job Evaluation Methods

• Lecture 3: Recruitment - Factors – Methods - Process - Selection Process – Selection

Techniques – Selection Decision – Induction

MODULE III - Training and Development • Lecture 1: Training and Development – Nature - Need Analysis – Delivery Methodology.

• Lecture 2: Training Effectiveness Evaluation – Capacity Building - Management Development

• Lecture 3: Career Development - Talent Management.

MODULE IV - Compensation Management

• Lecture 1: Compensation Management – Components - Compensation and Business Strategy

• Lecture 2: Determinants of Compensation Strategy – Determining what to Pay - Wage and

Salary Administration

• Lecture 3: Incentives and Performance Based Rewards - Individual and Group Incentive Plans –

Benefit Programs.

MODULE V - Performance Appraisal & Career Management

• Lecture 1: Performance Appraisal Goals - Process – Methods for Appraising Performance

• Lecture 2: Feedback – Potential Appraisal Meaning of Career – Career stages

• Lecture 3: Importance of Career Planning – Career Interest Inventory – Career Development

Issues and Challenges- HR Audit

. MODULE VI - An Outline on New Frontiers in HRM

• Lecture 1: Managing Employee Relation – Major Acts in Industrial Relations in India

(Outline). Managing HR in the Global Context – Role of Analytics in HR, Employee

Engagement Practices and Retention

• Lecture 2: Management in companies, Role of HR in CSR, EthicalIssues in Human

Resource Management.

• Lecture 3: Application of Artificial Intelligence in HRM – Talent Acquisition - Resume Analysis

- Career Coach- Employee engagement - Rethink employee care

Course 13 20MS3013 MANAGEMENT INFORMATION SYSTEM

MODULE 1- Management Information System

• Lecture 1: Definition, basic concepts, framework, role & need of MIS. Organization and

Information Systems: Changing Environment and its impact on Business.

• Lecture 2: The Organization: Structure, Managers and activities, Data, information and its

attributes, The level of people and their information needs, Types of Decisions and

information

• Lecture 3: Information System, categorization of information on the basis of nature and

characteristics.

MODULE II - Data processing systems

• Lecture 1: Retrieval of data, storage of data, concepts of information, organizational structure

and management concepts, Management Control, the decision-making process by information

• Lecture 2: Types of decision, concepts of planning and control, EIS, DSS, TPS, security issue.

• Lecture 3: Data sources and data management: Files: Definitions, types of files, concepts of

DBMS, data warehouse, DDL, DML, DLL, concepts of RDBMS, Data Flow Diagram (DFD),

E-R Diagram.

MODULE III - System Concept • Lecture 1: System Development Life Cycle (SDLC), Decision Support System (DSS),.

• Lecture 2: Enterprise Resource Planning (ERP) System, ERP basic features, benefits of ERP

selection

• Lecture 3: ERP Implementation.

MODULE IV - Kinds of Information Systems

• Lecture 1: Transaction Processing System (TPS) - Office Automation System (OAS) -

Management Information System (MIS)

• Lecture 2: Decision Support System (DSS) and Group Decision Support System (GDSS)

• Lecture 3: Expert System (ES) -Executive Support System (EIS or ESS).

MODULE V - Security and Ethical Challenges

• Lecture 1: Ethical responsibilities of Business Professionals – Business, technology. Computer

crime – Hacking, cyber theft, unauthorized use at work • Lecture 2: Piracy –software and intellectual property. Privacy – Issues and the Internet Privacy.

Challenges

• Lecture 3: working condition, individuals. Health and Social Issues, Ergonomics and cyber

terrorism

.MODULE VI - E-commerce

• Lecture 1: Definition, Concepts, EC Business Models, Benefits and Limitations of EC

• Lecture 2: Mobile computing, Pervasive computing.

• Lecture 3: Types of threats and attacks, Payment Revolution.

Course 14 20MS3014 OPERATIONS MANAGEMENT

MODULE 1- Introduction To Operations Management

• Lecture 1: Operations Management – Nature, Importance, transformation processes

• Lecture 2: differences between services and goods, a system perspective, functions

• Lecture 3: Operations Strategy – Strategic fit, framework. Productivity

MODULE II - Designing Operations

• Lecture 1: Product Design - Criteria, Approaches. Product development process

• Lecture 2: Process - design, strategy, types, analysis

• Lecture 3: make or buy decision

MODULE III - Operations And The Value Chain • Lecture 1: Capacity Planning – Long range, Determinants.

• Lecture 2: Strategies, Equipment selection – Investment Decisions

• Lecture 3: Facility Location – Theories, Steps in Selection, Location Models

MODULE IV - Planning And Control Of Operations

• Lecture 1: Demand Forecasting – Need, Types, Objectives and Steps

• Lecture 2: Forecasting models - Inventory Planning and Control

• Lecture 3: Functions, Decisions, Inventory models

MODULE V - Planning In Manufacture

• Lecture 1: Aggregate Planning – Nature, Strategies, Methods

• Lecture 2: Master Production Scheduling

• Lecture 3: Materials requirement planning – Concepts, Methods

. MODULE VI - Production Management Tools – The Leading Edge

• Lecture 1: JIT – TQM - Computer integrated Manufacturing and flexible manufacturing

system – ISO 9000 series – Poka Yoke

• Lecture 2: Kaizen – Business Process Reengineering – Supply Chain Management

• Lecture 3: Lean manufacturing - Quality Function Deployment – Enterprise Resource Planning

Course 14 20MS3014 OPERATIONS MANAGEMENT

MODULE 1- Introduction To Operations Management

• Lecture 1: Operations Management – Nature, Importance, transformation processes

• Lecture 2: differences between services and goods, a system perspective, functions

• Lecture 3: Operations Strategy – Strategic fit, framework. Productivity

MODULE II - Designing Operations

• Lecture 1: Product Design - Criteria, Approaches. Product development process

• Lecture 2: Process - design, strategy, types, analysis

• Lecture 3: make or buy decision

MODULE III - Operations And The Value Chain • Lecture 1: Capacity Planning – Long range, Determinants.

• Lecture 2: Strategies, Equipment selection – Investment Decisions

• Lecture 3: Facility Location – Theories, Steps in Selection, Location Models

MODULE IV - Planning And Control Of Operations

• Lecture 1: Demand Forecasting – Need, Types, Objectives and Steps

• Lecture 2: Forecasting models - Inventory Planning and Control

• Lecture 3: Functions, Decisions, Inventory models

MODULE V - Planning In Manufacture

• Lecture 1: Aggregate Planning – Nature, Strategies, Methods

• Lecture 2: Master Production Scheduling

• Lecture 3: Materials requirement planning – Concepts, Methods

. MODULE VI - Production Management Tools – The Leading Edge

• Lecture 1: JIT – TQM - Computer integrated Manufacturing and flexible manufacturing

system – ISO 9000 series – Poka Yoke

• Lecture 2: Kaizen – Business Process Reengineering – Supply Chain Management

• Lecture 3: Lean manufacturing - Quality Function Deployment – Enterprise Resource Planning