iTEL
This course introduces students to the concepts, technologies and applications involved in precision farming (PF). This entails the use of ICT and some high-technology equipment for assessing field conditions and applying variable rates of production inputs for management of soil nutrients, weeds, pest & diseases. Topics include sampling procedures, and measurements of parameters through environmental sensors, GNSS, RS and PS. Data input into GIS or analysis using Geo-statistical & Mapping software to accomplish primary spatial data management tasks, creation of spatial variability maps for mechanized applications of farm inputs. Students will also be exposed to precision technologies in livestock production for locating as well as feeding, reproduction and health management. Students will participate in some hands-on experience in the use of enabling hardware and software in PF applications.

This course provides a comprehensive introduction to several important areas of mathematics, including foundational concepts (logic, set theory, real numbers) and more advanced topics (complex numbers and calculus). It establishes a strong foundation for advancing in the study of mathematics and applying it across various fields.
This module is basically concerning quantitative statistical methodologies that are used for analyzing quantitative data derived from commonly conducted biological experiments. Topics covered in this course also include basic experimental design for biological experiments conducted in the field or under controlled conditions in the laboratory or other such setting. Real data from the field and laboratory experiments will be used in all statistical tests carried out. Computer cum tutorial classes will be conducted to demonstrate how the statistical analyses are carried out using popular statistical software programs and to discuss the results obtained. This course will give focus on the application of the quantitative analytical skills to solve real world problems.