Information Systems- Analysis, Design, implementation, and management of a computer-based information system that support a wide spectrum of key policy and investment priorities for effective Agriculture. Agricultural Knowledge Management – Basic concept of Agricultural Knowledge & Knowledge Management system(KMS) life cycle, exploration of tacit knowledge creation and capture, codification of knowledge and implementing systems to make use of knowledge base, technical aspects of Knowledge Management in Agriculture – Business Intelligence and Data Analytics techniques – data mining, Knowledge-based/ Expert systems, Machine learning, fuzzy-logic, data visualization, content management systems and Web 2.0 technologies.
Laboratory Practical: Hands–on productivity software Applications- Word processing, Database, Spreadsheet, presentation & Graphics software, GIS mapping Software, OLAP (on-line Analytical Processing), use of statistical
packages e.g. SAS /SPSS, Matlab software tool boxes e.g. Bioinformatics, fuzzy-logic etc