Digital Tools for Online Learning (19-23 October 2020)

Digital Tools for Online Learning
OPlan No.ICTO-197 (19-23 October 2020)

Online Registration Link : http://nitttrchd.ac.in/sitenew1/core/stclink.php

 

DATE

11:30 a.m. to 1:00 p.m.

3:30 p.m. to 5:00 p.m.

19-10-2020

Introduction to Digital Tools, Screen Capturing, Editing and Recording Tools for online Learning

Collaborative and Online Teaching using Moodle LMS

20-10-2020

Google Tools for Online Learning

E-Content Development and Digital Tools for Research

21-10-2020

Collaborative Flipped Classroom and Interactive Quizzes using Microsoft Innovative Education Tools

Audacity-win, AVC, Gliffy, Google Charts, GoogleSketchUpWEN, Pixlr , and Edpuzzle Digital Tools

 

22-10-2020

Complex Content Generation using LaTeX and Free Flow Chart Tools

Bigblue Button, White Board and Screen Recording Tools

23-10-2020

Drawing, Design and Effective Presentation using LaTeX

Online Content Generation and Content Protection

 

Contents

Introduction to Digital Tools, Bigblue Button, White Board and Screen Recording Tools

Collaborative and Online Teaching using Moodle LMS

Google Tools for Online Learning

E-Content Development and Digital Tools for Research

Collaborative Flipped Classroom and Interactive Quizzes using Microsoft Innovative Education Tools


AVC, Gliffy, Google Charts, Pixlr , Ted-Ed, Padlet and Edpuzzle Digital Tools


Complex Content Generation using LaTeX and Free Flow Chart Tools


Screen Capturing, Editing and Recording Tools for online Learning

Drawing, Design and Effective Presentation using LaTeX

Online Content Generation and Content Protection

Workshop on IOT and Machine Learning (05 to 09 October 2020)

Workshop on IOT and Machine Learning in collaboration with Central University of Kashmir ( J&K)  (05 to 09 October 2020)

Course Material  (http://wikisend.com/download/711414)

The contents for the training are as follows:
*  Essentials of  IOT and Machine Learning
*  Ethically Aligned Design for IoT and Emerging research areas in IoT
*  Predictive Analytics on IoT Stream Data
* Anomaly (Outlier) Detection Analysis on IoT Time Series data and Predictive Model Evolution Analysis.
* IoT  Applications in Rural Development
* IoT  Applications in Healthcare
* Fog Computing & Open Source tools for IoT
* Demonstration on Machine Learning  Implementation
* IoT : Maintenance vs Predictive Maintenance with Machine Learning
*  Descriptive & Predictive Analytics – Case Studies (Environmental Issues
and Covid-19 Analysis)
Essential References