Online Course on
From Data to Decision: Machine Learning & AI for Real-World Science & Engineering
A structured online programme from IISc focuses on applying machine learning, data analysis, and AI techniques to real-world scientific and engineering problems.
Course at a Glance
Know the Course Instructor
Lakshminarayana Rao
He is an Associate Professor at the Centre for Sustainable Technologies (CST), Indian Institute of Science (IISc), Bengaluru, with expertise in plasma science and engineering for sustainable environmental applications. Trained as a chemical engineer, he earned his Ph.D. from McGill University, Canada, and has over nine years of prior industrial experience in plasma technology development and commercialization. His research focuses on thermal and non-thermal plasma systems, plasma-activated water, decentralized water and wastewater treatment, and sustainable waste-to-energy processes, with applications spanning environmental remediation, public health, and resource sustainability. Dr. Rao has made significant contributions through high-impact research publications, patents, and technology demonstrations, particularly in plasma-based disinfection and wastewater recycling solutions suited for rural and resource-constrained settings. In addition to his research, he is actively involved in teaching and mentoring graduate and doctoral students, contributing to capacity building in sustainable technologies at IISc.
Objectives of the Course
Aimed at participants interested in learning to use tools from data analysis, machine learning, and artificial intelligence for solving real world problems in science and engineering.
The emphasis is on identifying and modelling problems, collecting and curating data, building models and interpreting the results, in various domains.
Course Syllabus
Introduction to data driven problem solving
Data types, collection and curation
Introduction and relevance of Data Analysis (DA), exploratory DA, visualization
Foundational statistics
Introduction to machine learning; types and models of learning
Neural networks and deep learning; Modern AI systems
Real-world case studies
Who Can Apply & Who Can Benefit?
Who Can Apply?
- Bachelor of Engineering or Science
- Inclination to learn mathematical aspects of ML and AI
- Python programming
Who Can Benefit?
- Corporate employees willing to up-skill or re-skill
- Fresh graduates
- Government employees working on big data analysis