Course Structure and Academic Plan
The B.Tech Agriculture program at Rayat Bahra University Mohali is designed to provide students with a comprehensive understanding of agricultural science and technology. The program spans eight semesters, with a structured curriculum that progresses from foundational sciences to advanced specializations.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | AG101 | Introduction to Agriculture | 3-0-0-3 | None |
| 1 | AG102 | Basic Biology | 3-0-0-3 | None |
| 1 | AG103 | Chemistry for Agriculture | 3-0-0-3 | None |
| 1 | AG104 | Physics for Agriculture | 3-0-0-3 | None |
| 1 | AG105 | Mathematics for Agriculture | 3-0-0-3 | None |
| 1 | AG106 | Introduction to Soil Science | 3-0-0-3 | None |
| 2 | AG201 | Plant Physiology | 3-0-0-3 | AG102 |
| 2 | AG202 | Crop Science | 3-0-0-3 | AG102 |
| 2 | AG203 | Soil Chemistry and Physics | 3-0-0-3 | AG103 |
| 2 | AG204 | Agricultural Economics | 3-0-0-3 | AG105 |
| 2 | AG205 | Introduction to Agri-Tech | 3-0-0-3 | AG104 |
| 3 | AG301 | Advanced Crop Management | 3-0-0-3 | AG202 |
| 3 | AG302 | Agri-Data Analytics | 3-0-0-3 | AG204 |
| 3 | AG303 | Plant Pathology | 3-0-0-3 | AG201 |
| 3 | AG304 | Sustainable Farming Practices | 3-0-0-3 | AG201 |
| 3 | AG305 | Climate Change and Agriculture | 3-0-0-3 | AG204 |
| 4 | AG401 | Food Processing Technology | 3-0-0-3 | AG301 |
| 4 | AG402 | Agri-Entrepreneurship | 3-0-0-3 | AG302 |
| 4 | AG403 | Environmental Management | 3-0-0-3 | AG301 |
| 4 | AG404 | Research Methodology | 3-0-0-3 | AG302 |
| 4 | AG405 | Agri-Internship | 0-0-6-3 | AG301 |
| 5 | AG501 | Advanced Agri-Tech | 3-0-0-3 | AG402 |
| 5 | AG502 | Agri-Data Analytics | 3-0-0-3 | AG402 |
| 5 | AG503 | Agri-Startups and Innovation | 3-0-0-3 | AG402 |
| 5 | AG504 | Agri-Research Project | 0-0-6-6 | AG404 |
| 6 | AG601 | Agri-Internship | 0-0-6-3 | AG504 |
| 6 | AG602 | Capstone Project | 0-0-6-6 | AG504 |
| 6 | AG603 | Agri-Case Studies | 3-0-0-3 | AG504 |
| 6 | AG604 | Agri-Policy and Ethics | 3-0-0-3 | AG504 |
| 7 | AG701 | Agri-Global Trends | 3-0-0-3 | AG603 |
| 7 | AG702 | Agri-Technology Innovation | 3-0-0-3 | AG603 |
| 7 | AG703 | Agri-Data Science | 3-0-0-3 | AG603 |
| 7 | AG704 | Agri-Global Case Studies | 3-0-0-3 | AG603 |
| 8 | AG801 | Agri-Research Thesis | 0-0-6-6 | AG704 |
| 8 | AG802 | Agri-Internship | 0-0-6-3 | AG801 |
| 8 | AG803 | Agri-Graduation Project | 0-0-6-6 | AG801 |
| 8 | AG804 | Agri-Final Presentation | 0-0-3-3 | AG801 |
Advanced Departmental Electives
Advanced departmental electives provide students with specialized knowledge in emerging areas of agriculture. These courses are designed to deepen students' understanding and prepare them for research and innovation.
Advanced Agri-Tech: This course explores the integration of technology in agriculture, including drones, sensors, and IoT for smart farming. Students will learn how to use these technologies to optimize crop yield, reduce resource usage, and improve decision-making.
Agri-Data Analytics: This course focuses on the use of data analytics in agriculture, including machine learning, predictive modeling, and big data applications. Students will gain hands-on experience in analyzing agricultural data to improve farming practices.
Agri-Startups and Innovation: This course provides students with the tools and knowledge to start and grow agricultural businesses. Topics include business planning, innovation management, and venture capital.
Agri-Research Project: This course involves students working on a research project under the supervision of a faculty member. Students will develop research skills, learn to conduct literature reviews, and present their findings.
Agri-Internship: This course provides students with real-world experience in the agricultural sector. Students will work with industry partners to gain insights into the practical applications of their studies.
Agri-Case Studies: This course involves analyzing real-world agricultural challenges and solutions. Students will learn to apply their knowledge to practical problems and develop critical thinking skills.
Agri-Policy and Ethics: This course explores the ethical and policy considerations in agriculture. Students will learn about global food security, sustainability, and the role of policy in shaping agricultural practices.
Agri-Global Trends: This course examines global trends in agriculture, including climate change, technology, and sustainability. Students will learn about international agricultural practices and their implications.
Agri-Technology Innovation: This course focuses on the innovation and development of new agricultural technologies. Students will explore emerging technologies and their potential applications in agriculture.
Agri-Data Science: This course provides students with advanced knowledge in data science and its applications in agriculture. Students will learn to use statistical tools and machine learning algorithms to analyze agricultural data.
Agri-Global Case Studies: This course involves in-depth analysis of global agricultural case studies. Students will learn to apply their knowledge to real-world scenarios and develop solutions to complex problems.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for deep understanding and skill development. Students engage in both mini-projects and a final-year thesis, allowing them to apply theoretical knowledge to real-world challenges.
Mini-Projects: These are smaller-scale projects undertaken during the second and third years. Students work in teams to solve specific problems, such as optimizing crop yield or developing sustainable farming practices. Projects are evaluated based on creativity, technical execution, and presentation.
Final-Year Thesis/Capstone Project: In the final year, students undertake a comprehensive project that integrates all aspects of their learning. This project is typically conducted in collaboration with industry partners or research institutions. Students are paired with faculty mentors who guide them through the research process, from problem identification to final presentation.
The selection of projects is based on student interests and industry demands. Students are encouraged to propose their own ideas or choose from a list of suggested projects. Faculty mentors are selected based on their expertise and availability, ensuring that students receive high-quality guidance throughout their project journey.