Appendix H: XR Curriculum and Syllabus (UG–PG)

Below is Appendix H, prepared in a curriculum-aligned, outcome-based education (OBE) format, suitable for universities, colleges, AICTE/UGC-style syllabi, and autonomous institutions.

---

**Appendix H

XR Curriculum and Syllabus (UG–PG)**

This appendix provides a structured curriculum framework for teaching Extended Reality (XR) at Undergraduate (UG) and Postgraduate (PG) levels. It is aligned with industry needs, academic standards, and practical exposure.

---

H.1 COURSE OVERVIEW

Course Title: Extended Reality (XR)
Course Type: Theory + Laboratory
Credits: 3–4
Duration: One Semester (12–14 weeks)

---

H.2 COURSE OBJECTIVES

• To understand XR concepts and technologies

• To develop XR applications using industry tools

• To explore XR use cases across domains

• To analyze ethical and social implications of XR

---

H.3 COURSE OUTCOMES (COs)

After completing the course, students will be able to:

• CO1: Explain XR fundamentals and components

• CO2: Design basic VR and AR applications

• CO3: Apply XR tools for real-world problems

• CO4: Evaluate usability and ethical concerns

• CO5: Develop XR-based mini projects

---

H.4 UG SYLLABUS STRUCTURE

Unit 1: Introduction to XR (Weeks 1–2)

• Definition and scope of XR

• VR, AR, MR comparison

• XR evolution and applications

---

Unit 2: XR Hardware and Platforms (Weeks 3–4)

• VR headsets and sensors

• AR devices and mobile AR

• Tracking technologies

---

Unit 3: XR Software and Development (Weeks 5–6)

• Unity and Unreal engines

• ARCore and ARKit

• OpenXR and SDKs

---

Unit 4: XR Interaction and UX (Weeks 7–8)

• Interaction techniques

• UX design principles

• Cybersickness and ergonomics

---

Unit 5: XR Applications and Case Studies (Weeks 9–10)

• Education, healthcare, industry

• Entertainment and gaming

• Retail and tourism

---

Unit 6: Ethics and Future Trends (Weeks 11–12)

• Privacy and security

• Accessibility

• XR + AI, Metaverse

---

H.5 PG SYLLABUS STRUCTURE

Unit 1: Advanced XR Concepts

• Spatial computing

• Digital twins

Unit 2: XR System Architecture

• Rendering pipelines

• Networking in XR

Unit 3: AI Integration in XR

• Computer vision

• Intelligent agents

Unit 4: Research Methodologies in XR

• UX evaluation

• Experimental design

Unit 5: XR Industry Applications

• Smart manufacturing

• Healthcare XR systems

---

H.6 XR LAB SYLLABUS

1. Unity XR setup

2. VR scene development

3. AR object placement

4. Gesture interaction

5. Mini project

---

H.7 ASSESSMENT SCHEME

Component	Weightage
Internal Assessment	30%
End-Semester Exam	50%
Lab & Project	20%

---

H.8 RECOMMENDED TEXTBOOKS & REFERENCES

1. Sherman & Craig – Understanding Virtual Reality

2. Unity Documentation

3. IEEE XR Journals

---

H.9 SUMMARY

This curriculum ensures conceptual clarity, hands-on expertise, and industry alignment, preparing learners for careers and research in XR.