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STEAM SCHOOL - Machine Learning and Deep Learning for Real-time Applications

STEAM School is designed and run by Chitkara University Research & Innovation Network (CURIN) to impart basic skills in Science, Technology, Engineering, Arts and Maths (STEAM) in a fun filled– activity based structure. The activities done under STEAM school will not earn any credits but the essential skills, which are required by anyone, who wants to give shape to one’s ideas. There are no prerequisites but just the zeal to learn and do. The STEAM school is run on predetermined days during whole of the semester during evening hours– from 4:30 pm to 6:30 pm. The STEAM calendar given below will give you an insight into details.

General Guideline(s)
  • Students can enroll in any number of courses.
  • Students can refer to the timetable carefully befor booking the slots.
  • Students can bring their own kits for basic electronic projects.
Others
  • Each course is of 10 hours (2 hours on five consecutive days)
  • Hostel accommodation to the day scholar will be given on request basis with the admissible charges (@ 200/- per night).
  • Course registration charges are Rs. 200.00/- candidate ( for registration and fee payment click Chalkpad)
Course Objective
  • Explore the knowledge about Machine Learning and Deep Learning
  • To impart knowledge about the various technologies used in developing integrated decentralized solutions.
Course Outcome
  • The students will be aware about the latest technology trends.
  • The students will be able to develop their projects.
For any Queries please contact:
Course Coordinators
Dr. Deepali Gupta

Professor (CURIN, CSE)
Email: deepali.gupta@chitkara.edu.in
Mob: +91-7015914724

Dr. Sheifali Gupta
Professor (CURIN, ECE)
Email: mudita@chitkara.edu.in

Resource Persons
Mudita (CURIN, CSE)
Ramneet (CURIN, CSE)
Vatsala (CURIN, ECE)
Overall Coordinator
Dr. Manish Sharma
Professor (CURIN)
Email: manish.sharma@chitkara.edu.in
Mob : +91-94118-09801
PROGRAM SCHEDULE
Machine Learning and Deep Learning for Real-time Applications
Resource Lead Dr. Deepali Gupta/ Dr. Sheifali Gupta
Venue Google Meet / Zoom
Day Topic Workshop Dates
Day 1 Basic Introduction
  • Introduction to Artificial Intelligence
  • Artificial Intelligence Evolution
  • AI vs ML vs DL vs DS
May 24 - 28, 2021
Day 2 Machine Learning
  • Introduction to Machine Learning
  • Supervised and Unsupervised Learning
  • Reinforcement Learning
Day 3 Major Activity
  • Introduction of RapidMiner
  • Data Cleaning
  • Training a Model
Day 4 Deep Learning
  • Introduction
  • Deep Learning for Medical Science
Day 5 Hands-on Session
  • Getting started and setting up Python Environment using Google Colab
  • Understanding the CNN Architecture
  • Deploying Transfer Learning Models on Medical Science