Course Structure Overview
The Education program at Pdm University Haryana is structured over eight semesters, ensuring a progressive and comprehensive learning experience. Each semester includes core courses, departmental electives, science electives, and laboratory sessions designed to build both theoretical knowledge and practical skills.
SEMESTER | COURSE CODE | COURSE TITLE | CREDIT STRUCTURE (L-T-P-C) | PREREQUISITES |
---|---|---|---|---|
1 | EDU101 | Introduction to Education | 3-0-0-3 | - |
1 | EDU102 | Psychology of Learning | 3-0-0-3 | - |
1 | MAT101 | Calculus I | 4-0-0-4 | - |
1 | PHY101 | Physics I | 3-0-0-3 | - |
1 | CHE101 | Chemistry I | 3-0-0-3 | - |
1 | ENG101 | English Communication | 2-0-0-2 | - |
2 | EDU201 | Educational Psychology | 3-0-0-3 | EDU101 |
2 | MAT201 | Calculus II | 4-0-0-4 | MAT101 |
2 | PHY201 | Physics II | 3-0-0-3 | PHY101 |
2 | CHE201 | Chemistry II | 3-0-0-3 | CHE101 |
2 | SOC201 | Sociology of Education | 3-0-0-3 | - |
2 | EDU202 | Teaching Methodology | 3-0-0-3 | EDU101 |
3 | EDU301 | Curriculum Design | 3-0-0-3 | EDU201, EDU202 |
3 | MAT301 | Statistics and Probability | 3-0-0-3 | MAT201 |
3 | BIO301 | Biology I | 3-0-0-3 | - |
3 | EDU302 | Educational Assessment | 3-0-0-3 | EDU201 |
3 | ENG301 | Technical Writing | 2-0-0-2 | - |
4 | EDU401 | Digital Pedagogy | 3-0-0-3 | EDU301, EDU302 |
4 | MAT401 | Data Science Fundamentals | 3-0-0-3 | MAT301 |
4 | BIO401 | Biology II | 3-0-0-3 | BIO301 |
4 | EDU402 | Educational Technology Lab | 0-0-6-2 | - |
5 | EDU501 | Learning Analytics | 3-0-0-3 | MAT401, EDU302 |
5 | CSE501 | Introduction to Programming | 3-0-0-3 | - |
5 | EDU502 | Inclusive Education Practices | 3-0-0-3 | EDU201 |
5 | EDU503 | Educational Research Methods | 3-0-0-3 | EDU301, MAT301 |
6 | EDU601 | Advanced Curriculum Development | 3-0-0-3 | EDU501, EDU503 |
6 | EDU602 | Global Education Policy | 3-0-0-3 | EDU201 |
6 | EDU603 | Leadership in Education | 3-0-0-3 | EDU201 |
7 | EDU701 | Capstone Project I | 0-0-6-4 | - |
8 | EDU801 | Capstone Project II | 0-0-6-4 | EDU701 |
Advanced Departmental Electives
The department offers a wide range of advanced elective courses designed to provide students with specialized knowledge and skills in various domains of Education.
- Educational Data Analytics: This course delves into the use of statistical models and machine learning techniques for analyzing educational datasets. Students learn how to extract meaningful insights from large volumes of data to inform instructional decisions.
- Design Thinking in Education: Focused on applying design thinking principles to educational contexts, this elective teaches students how to identify problems, ideate solutions, prototype interventions, and implement changes that improve learning outcomes.
- Virtual Reality in Learning Environments: Students explore the integration of virtual reality technologies in education, including the creation of immersive learning experiences and their impact on student engagement and retention.
- Educational Neuroscience: This course bridges the gap between neuroscience and education by examining how brain research can inform teaching practices and curriculum design.
- Language Acquisition and Bilingual Education: Designed for students interested in multilingual learning environments, this elective covers theories of language acquisition and best practices in bilingual education programs.
- Disability Studies in Education: This course examines the intersection of disability and education, focusing on inclusive practices and policies that support learners with diverse needs.
- Community-Based Education Programs: Students learn how to design and implement educational initiatives within local communities, emphasizing collaboration between schools, families, and community organizations.
- Educational Entrepreneurship: This elective introduces students to the entrepreneurial mindset in education, covering topics such as innovation in edtech, venture creation, and funding models for educational startups.
Project-Based Learning Philosophy
The department emphasizes project-based learning as a core component of the curriculum. This approach encourages students to apply their knowledge to real-world problems through hands-on projects that foster creativity, collaboration, and critical thinking.
Mini-projects are integrated throughout the program starting from the second year. These projects allow students to explore specific aspects of education in depth while developing practical skills such as research methodology, data collection, and presentation techniques.
The final-year thesis or capstone project is a comprehensive endeavor that requires students to demonstrate mastery of their chosen area of specialization. Students select projects in consultation with faculty mentors, ensuring alignment between personal interests and academic rigor.
Evaluation criteria for these projects include originality, depth of research, clarity of presentation, impact analysis, and contribution to the field of Education. Faculty members guide students throughout the process, providing feedback and support to ensure successful completion of their endeavors.