Comprehensive Course Structure
The Agriculture program at Noida International University Greater Noida spans eight semesters, with each semester comprising a mix of core courses, departmental electives, science electives, and laboratory sessions. The following table outlines the detailed course structure for all semesters:
Year | Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|---|
Year 1 | Semester 1 | AG-101 | Introduction to Agriculture | 3-0-0-3 | - |
Year 1 | Semester 1 | AG-102 | Biology for Agriculture | 3-0-0-3 | - |
Year 1 | Semester 1 | AG-103 | Chemistry for Agriculture | 3-0-0-3 | - |
Year 1 | Semester 1 | AG-104 | Physics for Agriculture | 3-0-0-3 | - |
Year 1 | Semester 1 | AG-105 | Mathematics I | 3-0-0-3 | - |
Year 1 | Semester 1 | AG-106 | Introduction to Soil Science | 3-0-0-3 | - |
Year 1 | Semester 2 | AG-201 | Plant Physiology | 3-0-0-3 | AG-102 |
Year 1 | Semester 2 | AG-202 | Crop Production Techniques | 3-0-0-3 | - |
Year 1 | Semester 2 | AG-203 | Animal Husbandry | 3-0-0-3 | - |
Year 1 | Semester 2 | AG-204 | Environmental Systems | 3-0-0-3 | - |
Year 1 | Semester 2 | AG-205 | Mathematics II | 3-0-0-3 | AG-105 |
Year 1 | Semester 2 | AG-206 | Farm Management | 3-0-0-3 | - |
Year 2 | Semester 3 | AG-301 | Plant Breeding and Genetics | 3-0-0-3 | AG-201 |
Year 2 | Semester 3 | AG-302 | Pest Management | 3-0-0-3 | - |
Year 2 | Semester 3 | AG-303 | Irrigation Engineering | 3-0-0-3 | - |
Year 2 | Semester 3 | AG-304 | Agricultural Economics | 3-0-0-3 | - |
Year 2 | Semester 3 | AG-305 | Data Analytics in Agriculture | 3-0-0-3 | AG-205 |
Year 2 | Semester 3 | AG-306 | Soil Microbiology | 3-0-0-3 | - |
Year 2 | Semester 4 | AG-401 | Biotechnology Applications | 3-0-0-3 | AG-301 |
Year 2 | Semester 4 | AG-402 | Climate Resilience Strategies | 3-0-0-3 | - |
Year 2 | Semester 4 | AG-403 | Agricultural Engineering Principles | 3-0-0-3 | - |
Year 2 | Semester 4 | AG-404 | Digital Agriculture Tools | 3-0-0-3 | AG-305 |
Year 2 | Semester 4 | AG-405 | Food Processing Technology | 3-0-0-3 | - |
Year 2 | Semester 4 | AG-406 | Agroforestry Systems | 3-0-0-3 | - |
Year 3 | Semester 5 | AG-501 | Advanced Crop Science | 3-0-0-3 | AG-301 |
Year 3 | Semester 5 | AG-502 | Agri-Business Management | 3-0-0-3 | - |
Year 3 | Semester 5 | AG-503 | Remote Sensing and GIS in Agriculture | 3-0-0-3 | - |
Year 3 | Semester 5 | AG-504 | Agricultural Policy Analysis | 3-0-0-3 | - |
Year 3 | Semester 5 | AG-505 | Sustainable Resource Management | 3-0-0-3 | - |
Year 3 | Semester 5 | AG-506 | Research Methodology | 3-0-0-3 | - |
Year 3 | Semester 6 | AG-601 | Plant Pathology | 3-0-0-3 | - |
Year 3 | Semester 6 | AG-602 | Integrated Pest Management | 3-0-0-3 | - |
Year 3 | Semester 6 | AG-603 | Water Conservation Techniques | 3-0-0-3 | - |
Year 3 | Semester 6 | AG-604 | Biostatistics in Agriculture | 3-0-0-3 | - |
Year 3 | Semester 6 | AG-605 | Agri-Tech Innovation Lab | 3-0-0-3 | - |
Year 3 | Semester 6 | AG-606 | Eco-agriculture Practices | 3-0-0-3 | - |
Year 4 | Semester 7 | AG-701 | Capstone Project I | 2-0-0-2 | - |
Year 4 | Semester 7 | AG-702 | Thesis Proposal | 2-0-0-2 | - |
Year 4 | Semester 7 | AG-703 | Advanced Data Analysis | 3-0-0-3 | AG-505 |
Year 4 | Semester 7 | AG-704 | Agro-industry Internship | 2-0-0-2 | - |
Year 4 | Semester 8 | AG-801 | Capstone Project II | 2-0-0-2 | - |
Year 4 | Semester 8 | AG-802 | Final Thesis | 2-0-0-2 | - |
Year 4 | Semester 8 | AG-803 | Entrepreneurship in Agriculture | 3-0-0-3 | - |
Year 4 | Semester 8 | AG-804 | Global Food Security Challenges | 3-0-0-3 | - |
Detailed Course Descriptions for Departmental Electives
The following are advanced departmental elective courses offered in the Agriculture program at Noida International University Greater Noida:
- Plant Biotechnology and Genetic Engineering: This course explores molecular techniques for modifying plant genomes, including gene editing using CRISPR/Cas9. Students will learn about transgenic crop development, marker-assisted selection, and ethical considerations in genetic modification.
- Sustainable Agriculture and Climate Resilience: Focused on developing climate-smart agricultural practices, this course covers carbon sequestration, water efficiency, soil health management, and adaptation strategies for extreme weather events.
- Agricultural Economics and Rural Development: This course integrates economic theories with real-world applications in rural economies. Topics include market analysis, policy evaluation, poverty alleviation, and community development initiatives.
- Soil Science and Environmental Management: Delving into soil composition, nutrient cycling, pollution control, and ecosystem restoration, this course emphasizes practical applications in environmental conservation and sustainable land use.
- Agricultural Engineering and Irrigation Systems: Students study the principles of agricultural machinery design, irrigation efficiency, automation technologies, and water resource management systems used in modern farming.
- Food Processing and Quality Control: This course examines food preservation techniques, processing technologies, hygiene standards, and quality assurance protocols in agribusiness operations.
- Digital Agriculture and Agri-Tech Innovation: Exploring the role of IoT sensors, drones, robotics, and mobile platforms in agriculture, students gain hands-on experience with digital tools for farm monitoring and data-driven decision-making.
- Agroforestry and Biodiversity Conservation: This course investigates integrated land-use systems that combine agriculture with forestry, emphasizing biodiversity preservation, ecosystem services, and sustainable livelihoods.
- Plant Pathology and Disease Management: Focused on identifying plant diseases, understanding their mechanisms, and implementing effective control measures through biological, chemical, and cultural methods.
- Integrated Pest Management (IPM): Students learn to design IPM strategies that minimize pesticide use while maximizing crop protection through biological controls, habitat management, and monitoring systems.
- Agricultural Policy Analysis: Analyzing national and international policies related to agriculture, this course prepares students for roles in government agencies, NGOs, and policy think tanks.
- Remote Sensing and GIS in Agriculture: Utilizing satellite imagery and geographic information systems (GIS), students analyze spatial data to monitor crop health, land use changes, and environmental impacts.
- Biostatistics in Agriculture: Applying statistical methods to agricultural research, this course teaches hypothesis testing, regression analysis, experimental design, and data interpretation in agri-science contexts.
- Eco-agriculture Practices: This course introduces students to organic farming, permaculture, and other eco-friendly practices that promote sustainability and biodiversity conservation.
- Water Conservation Techniques: Covering water harvesting, drip irrigation, rainwater management, and efficient water usage in agriculture, this course equips students with practical skills for resource conservation.
Project-Based Learning Philosophy
The Agriculture program at Noida International University Greater Noida emphasizes project-based learning as a core pedagogical strategy. This approach encourages active participation, critical thinking, and collaborative problem-solving among students.
Mini-projects are assigned during the second and third years of the program. These projects allow students to explore specific topics within their field of interest under the guidance of faculty mentors. Projects typically involve literature review, data collection, analysis, and presentation of findings in a structured format.
The final-year thesis or capstone project represents the culmination of the student's academic journey. Students select a research topic aligned with their specialization, conduct original research, and present their work to a panel of experts. This process fosters independence, deepens understanding, and prepares students for professional roles in research, academia, or industry.
Faculty members play a crucial role in guiding students throughout the project selection and execution phases. They provide mentorship, resources, and feedback to ensure that projects meet academic standards and contribute meaningfully to their respective fields.