Course Structure Overview
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
---|---|---|---|---|
1 | PHYS-101 | Human Anatomy and Physiology | 3-1-0-4 | - |
1 | PHYS-102 | Biomechanics Fundamentals | 3-1-0-4 | PHYS-101 |
1 | PHYS-103 | Basic Principles of Physiotherapy | 3-1-0-4 | - |
1 | PHYS-104 | Introduction to Clinical Skills | 2-1-0-3 | - |
1 | PHYS-105 | Computer Applications in Healthcare | 2-0-0-2 | - |
1 | PHYS-106 | Lab Practical I (Anatomy) | 0-0-4-2 | PHYS-101 |
2 | PHYS-201 | Neuroscience and Neurophysiology | 3-1-0-4 | PHYS-101 |
2 | PHYS-202 | Musculoskeletal Pathology | 3-1-0-4 | PHYS-101 |
2 | PHYS-203 | Clinical Diagnosis and Assessment Techniques | 3-1-0-4 | PHYS-101, PHYS-102 |
2 | PHYS-204 | Pharmacology for Physiotherapists | 3-1-0-4 | - |
2 | PHYS-205 | Research Methodology in Physiotherapy | 2-0-0-2 | - |
2 | PHYS-206 | Lab Practical II (Neuroscience) | 0-0-4-2 | PHYS-201 |
3 | PHYS-301 | Orthopedic Rehabilitation | 3-1-0-4 | PHYS-202 |
3 | PHYS-302 | Neurological Rehabilitation | 3-1-0-4 | PHYS-201 |
3 | PHYS-303 | Pediatric Physiotherapy | 3-1-0-4 | PHYS-201 |
3 | PHYS-304 | Geriatric Physiotherapy | 3-1-0-4 | PHYS-201 |
3 | PHYS-305 | Manual Therapy Techniques | 3-1-0-4 | PHYS-202 |
3 | PHYS-306 | Lab Practical III (Orthopedics) | 0-0-4-2 | PHYS-301 |
4 | PHYS-401 | Cardiopulmonary Physiotherapy | 3-1-0-4 | PHYS-202 |
4 | PHYS-402 | Sports Injuries and Rehabilitation | 3-1-0-4 | PHYS-301 |
4 | PHYS-403 | Community Health and Outreach | 3-1-0-4 | - |
4 | PHYS-404 | Research Ethics and Publication | 2-0-0-2 | PHYS-205 |
4 | PHYS-405 | Mini Project I | 0-0-6-3 | - |
4 | PHYS-406 | Lab Practical IV (Cardiopulmonary) | 0-0-4-2 | PHYS-401 |
5 | PHYS-501 | Advanced Diagnostic Imaging in Physiotherapy | 3-1-0-4 | PHYS-301, PHYS-302 |
5 | PHYS-502 | Evidence-Based Practice | 3-1-0-4 | PHYS-404 |
5 | PHYS-503 | Therapeutic Exercise Design | 3-1-0-4 | PHYS-301 |
5 | PHYS-504 | Advanced Manual Therapy | 3-1-0-4 | PHYS-305 |
5 | PHYS-505 | Mini Project II | 0-0-6-3 | - |
5 | PHYS-506 | Lab Practical V (Advanced Techniques) | 0-0-4-2 | PHYS-504 |
6 | PHYS-601 | Internship Training I | 0-0-8-4 | - |
6 | PHYS-602 | Capstone Project Proposal | 3-0-0-3 | PHYS-501, PHYS-502 |
7 | PHYS-701 | Internship Training II | 0-0-8-4 | - |
7 | PHYS-702 | Capstone Project Implementation | 0-0-10-5 | PHYS-602 |
8 | PHYS-801 | Final Thesis Presentation | 0-0-4-4 | - |
Advanced Departmental Elective Courses
These courses represent the pinnacle of specialized knowledge in physiotherapy and are designed to prepare students for advanced roles in clinical practice, research, and leadership positions.
- Advanced Diagnostic Imaging in Physiotherapy: This course explores the use of MRI, CT, ultrasound, and X-ray imaging techniques to diagnose musculoskeletal and neurological disorders. Students learn how to interpret diagnostic reports and apply findings in therapeutic planning.
- Evidence-Based Practice: This elective teaches students how to critically evaluate scientific literature and integrate it into clinical decision-making. Topics include systematic reviews, meta-analyses, and randomized controlled trials.
- Therapeutic Exercise Design: Students learn to design personalized exercise programs for patients with chronic conditions such as diabetes, heart disease, arthritis, and COPD. The course emphasizes functional movement patterns and progressive resistance training.
- Advanced Manual Therapy: This course delves into advanced mobilization techniques, joint manipulation, and soft tissue mobilization methods used in complex cases involving chronic pain or post-surgical recovery.
- Neuroplasticity and Rehabilitation: Students explore how the brain adapts after injury and how physiotherapy can facilitate neurorehabilitation through targeted interventions and neurofeedback technologies.
- Community Health and Outreach: This course focuses on designing public health campaigns, organizing community workshops, and implementing preventive care strategies to address health disparities in underserved populations.
- Telehealth and Remote Monitoring: With the rise of digital health tools, this course covers teleconsultation protocols, remote monitoring devices, and digital platforms used for delivering physiotherapy services.
- Rehabilitation Robotics: Students are introduced to robotic-assisted therapy systems used in stroke recovery, spinal cord injury rehabilitation, and pediatric therapy. The course includes hands-on training with industry-standard equipment.
- Pain Management Techniques: This elective covers both pharmacological and non-pharmacological methods of pain control including acupuncture, transcutaneous electrical nerve stimulation (TENS), and biofeedback systems.
- Occupational Therapy Integration: Designed for students interested in interdisciplinary collaboration, this course teaches how to work alongside occupational therapists to provide holistic care to patients with complex needs.
Project-Based Learning Philosophy
Navrachana University places immense emphasis on experiential learning through project-based education. The curriculum includes mandatory mini-projects and a final capstone thesis that allow students to explore real-world problems, apply theoretical concepts, and develop critical thinking skills.
The structure of these projects involves:
- Mini Projects (Semesters 4 & 5): Students work in teams on specific research topics or clinical challenges under faculty supervision. These projects are evaluated based on feasibility, innovation, impact analysis, and presentation quality.
- Final Capstone Project: In the final semester, students choose a topic related to their specialization area. They conduct independent research, present findings, and defend their work in front of an expert panel. Projects often lead to publications or patents.
Evaluation criteria include:
- Research methodology
- Data collection and analysis
- Clinical relevance
- Innovation and creativity
- Presentation skills
- Peer collaboration
- Impact on patient outcomes or community health
Faculty mentors are assigned based on student interests and project scope. The university maintains a database of research areas and faculty expertise to ensure optimal matching between students and advisors.