ABOUT THE COURSE:Big Data analytics has been recognised as one of the key elements of Industry 4.0 because it offers insightful information for managing smart factories. Big Data and current industrial revolution have the potential to optimise processes and cut down on resource consumption, which will be crucial for achieving sustainable development. The course is broken up into twelve weeks, and each week conclusion includes an exercise to test and sharpen your skills. The lectures would walk the students over the fundamental syntax and operations, as well as the key Python numerical and visualisation libraries. These skills will be put to use in hands-on activities that involve loading a dataset from the steel industry and creating algorithms for data aggregation. While understanding the concepts through case studies, the learners would be able to load, work, and visualize real-time useful data.INTENDED AUDIENCE: Students of all Engineering and Science disciplines.PREREQUISITES: The student should have completed two semesters of UG Engineering or Science program.INDUSTRY SUPPORT: TCS, Accenture, Tech Mahindra, Capgemini India Pvt Ltd., Genpact.
Advanced Business Decision Support Systems
Indian Institute of Technology Kanpur and NPTEL via Swayam
Overview
Syllabus
Week 1: Introduction to DSS Week 2:Basics of Data Modeling Week 3:Types of decision modelsWeek 4:Designs for decision treeWeek 5:Deterministic DSS models Week 6:Python as Scripting Language & Model buildingWeek 7:Decision Tree for suboptimal problems Week 8:Database Management using MariaDBWeek 9:Complete DSS DevelopmentWeek 10:BDA implementation in DSSWeek 11:Industry 4.0 with big dataWeek 12:BDA for Smart Vehicles
Taught by
Prof. Prabal Pratap Singh, Prof. Deepu Philip, Prof. Amandeep Singh Oberoi
