Human Resource Management

2. Course Description

This course explores the strategic role of human capital in driving organizational value. It moves beyond administrative tasks to focus on Talent Acquisition, Performance Management, and HR Analytics. Students will learn to lead diverse, cross-functional teams in hybrid work environments using Emotional Intelligence (EQ) and data-driven insights.

 

3. Course Objectives (Learning Goals)

1. To master Talent Acquisition strategies that leverage digital platforms and minimize algorithmic bias.
2. To design Performance Management systems that link individual output to organizational value architecture.
3. To utilize HR Analytics and large datasets to drive evidence-based people decisions.
4. To implement Agile Methodologies in HR processes for improved organizational agility.
    

 

4. Course Outcomes (COs)

Mapped to Bloom’s Taxonomy and Taxila’s Program Outcomes (POs).

 

CO Code	Course Outcome Description	Bloom's Level	Primary PO Mapping
CO1	Explain core HR functions and the impact of digital transformation on human dynamics.	Understand (L2)	PO1
CO2	Apply EQ and conflict resolution skills to lead diverse teams in hybrid work environments.	Apply (L3)	PO3
CO3	Analyze employee data using HR Analytics to predict attrition and enhance retention.	Analyze (L4)	PO2
CO4	Evaluate ethical governance and DEI strategies to ensure corporate social responsibility.	Evaluate (L5)	PO7
CO5	Design a strategic HR intervention plan using Agile and Lean methodologies.	Create (L6)	PO5

 

5. CO-PO Articulation Matrix

Correlation: 3 (High), 2 (Medium), 1 (Low).

 

CO Code	PO1	PO2	PO3	PO4	PO5	PO6	PO7	PO8
CO1	3	1	2	2	-	-	-	1
CO2	2	-	3	2	1	1	2	2
CO3	2	3	-	1	2	-	-	2
CO4	1	2	2	-	-	2	3	-
CO5	2	2	3	1	3	-	1	3
AVG	2.0	2.0	2.5	1.5	1.8	1.3	2.0	1.8

 

6. Assessment Scheme 

 

Component	Marks	Description	Mapped CO
Simulation	20	Taxila Lab Simulations:   • Sim 1 (10 Marks): The Talent Scouter (Digital Recruitment).   • Sim 2 (10 Marks): The Culture Architect (Change Management).	CO2, CO3, CO5
Case Study	10	"The Attrition Crisis": Analyzing real-time employee data to stop a talent drain.	CO3
Presentation	10	"DEI Blueprint": Presenting a strategy for building an inclusive, hybrid workforce.	CO4
Mid Term	10	Written exam covering Modules 1 & 2.	CO1, CO2
Project	10	"HR Tech Audit": Evaluating how a firm uses AI to manage human dynamics.	CO1
Class Participation	10	Participation in role-plays and analytics labs.	All
End Term	30	Comprehensive written exam covering all modules.	All

 

7. Detailed Syllabus & Session Plan (20 Sessions)

Each session is 90 minutes of class time plus 60 minutes of pre-class preparation.

Module 1: The Modern HR Landscape (Sessions 1-5)

• Session 1: Strategic HR & Digital Transformation

Topic: Moving from Personnel Management to Strategic HR as a value driver.
Pre-Class Prep: Read Robbins, Chapter 18 (Organizational Change).
 

• Session 2-3: Talent Acquisition & Digital Sourcing

Topic: Using AI for sourcing and identifying algorithmic bias in recruitment.
Pre-Class Prep: Read Article: "AI in Recruitment: Promise or Peril?"

• Session 4: Job Analysis & Competency Mapping

Topic: Defining technical and "human-centric" competencies for a digital-first economy.
Pre-Class Prep: Task: Create a job description for an "AI Ethics Officer".

• Session 5: Taxila Lab Simulation 1

Topic: "The Talent Scouter" – Using a simulated platform to shortlist candidates while ensuring diversity and merit.

Module 2: Performance, Growth & Dynamics (Sessions 6-11)

• Session 6-7: Performance Management Systems

Topic: OKRs, 360-degree feedback, and linking output to value architecture.

Pre-Class Prep: Read Case: “Google's Project Oxygen”.
 

• Session 8-9: Learning & Development (Upskilling)

Topic: Managing the "Life-long Learning" cycle and unlearning outdated methods.
Pre-Class Prep: Research "The Half-life of Skills in 2026".

• Session 10: Taxila Lab Simulation 2

Topic: "The Culture Architect" – Managing interpersonal dynamics and conflict during an Agile transformation.

Session 11: Case Study: "The Attrition Crisis"

Topic: Using evidence-based decisions to manage high-turnover scenarios.
 

Module 3: HR Analytics & Hybrid Leadership (Sessions 12-16)

• Session 12-13: Introduction to HR Analytics

Topic: Analyzing large datasets to derive actionable people insights.
Pre-Class Prep: Watch Video: "Predictive Analytics in HR".

• Session 14: Compensation & Total Rewards

Topic: Designing incentive structures for cross-functional, hybrid teams.

Pre-Class Prep: Read Note on "Compensation for the Gig Economy".

• Session 15: Leading Hybrid & Remote Teams

Topic: Using EQ to manage teams across different time zones and cultures.
 

Pre-Class Prep: Read Article: "The Science of Hybrid Collaboration".

• Session 16: Ethics & Social Responsibility in HR

Topic: ESG compliance, data privacy, and ethical governance in people management.

Module 4: Agile HR & Capstone (Sessions 17-20)

• Session 17: Agile HR Methodologies

Topic: Applying iterative project management to HR policy design.
Pre-Class Prep: Read The Agile HR Manifesto.

• Session 18-19: Capstone Presentation: "DEI Blueprint"

Topic: Presenting a comprehensive inclusion and leadership plan.
Pre-Class Prep: Finalize slides and rehearse.

• Session 20: Future of Work & Final Review

Topic: Agentic workflows in HR and the role of "The Human Touch".
8. Textbooks & Resources

1. Mandatory Textbook: Organizational Behavior by Stephen P. Robbins, Timothy A. Judge, and Neharika Vohra (Pearson).
    
2. Lab Resources:

Taxila Lab Sim 1: The Talent Scouter.

Taxila Lab Sim 2: The Culture Architect.