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B.E Artificial Intelligence and Machine Learning Human Resource Management Syllabus - Mumbai University

This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.

Human-Resource-Management.pdf
Semester 8 · Fourth Year AI-ML

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Syllabus for Human Resource Management

Semester 8 · Fourth Year AI-ML

Module 1: Introduction to HR

  • Human Resource Management- Concept, Scope and Importance, Interdisciplinary Approach Relationship with other Sciences, Competencies of HR Manager, HRM functions.
  • Human resource development (HRD): changing role of HRM – Human resource Planning, Technological change, Restructuring andrightsizing, Empowerment, TQM, Managing ethical issues.

Module 2: Organizational Behavior (OB)

  • Introduction to OB Origin, Nature and Scope of Organizational Behavior, Relevance to Organizational Effectiveness and Contemporary issues
  • Personality: Meaning and Determinants of Personality, Personality development, Personality Types, Assessment of Personality Traits for Increasing Self Awareness
  • Perception: Attitude and Value, Effect of perception on Individual Decision-making, Attitude and Behavior.
  • Motivation: Theories of Motivation and their Applications for Behavioral Change (Maslow, Herzberg, McGregor);
  • Group Behavior and Group Dynamics: Work groups formal and informal groups and stages of group development. Team Effectiveness: High performing teams, Team Roles, cross functional and self-directed team.
  • Case study

Module 3: Organizational Structure &Design

  • Structure, size, technology, Environment of organization; Organizational Roles & conflicts: Concept of roles; role dynamics; role conflicts and stress.
  • Leadership: Concepts and skills of leadership, Leadership and managerial roles, Leadership styles and contemporary issues in leadership.
  • Power and Politics: Sources and uses of power; Politics atworkplace, Tactics and strategies.

Module 4: Human resource Planning

  • Recruitment and Selection process, Job-enrichment, Empowerment - Job Satisfaction, employee morale.
  • Performance Appraisal Systems: Traditional & modern methods, Performance Counseling, Career Planning.
  • Training & Development: Identification of Training Needs, Training Methods

Module 5: Emerging Trends in HR

  • Organizational development; Business Process Re-engineering (BPR), BPR as a tool for organizational development , managing processes & transformation in HR. Organizational Change, Culture, Environment
  • Cross Cultural Leadership and Decision Making : Cross Cultural Communication and diversity at work , Causes of diversity, managing diversity with special reference to handicapped, women and ageing people, intra company cultural difference in employee motivation.

Module 6: HR & MIS

  • Need, purpose, objective and role of information system in HR, Applications in HRD in various industries (e.g. manufacturing R&D, Public Transport, Hospitals, Hotels and service industries Strategic HRM Role of Strategic HRM in the modern business world, Concept of Strategy, Strategic Management Process, Approaches to Strategic Decision Making; Strategic Intent – Corporate Mission, Vision, Objectives and Goals Labor Laws & Industrial Relations Evolution of IR, IR issues in organizations, Overview of Labor Laws in India; Industrial Disputes Act, Trade Unions Act, Shops and Establishments Act

REFERENCES

  • 1 Stephen Robbins, Organizational Behavior, 16th Ed, 2013
  • 2 V S P Rao, Human Resource Management, 3rd Ed, 2010, Excelpublishing
  • 3 Aswathapa, Human resource management: Text & cases, 6th edition, 2011
  • 4 C. B. Mamoria and S V Gankar, Dynamics of Industrial Relations in India, 15th Ed, 2015, Himalaya Publishing, 15thedition, 2015
  • 5 P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5 th Ed, 2013, Himalaya Publishing
  • 6 Laurie Mullins, Management & Organizational Behavior, Latest Ed, 2016, Pearson Publications

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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