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Introduction to Online Pedagogy


IIITH-Outreach
Enrollment in this course is by invitation only

About the Course

This short course will cover basic models for online pedagogy. We will go through approaches for preparing and delivering engaging online lectures. Tools and skills required for recording lecture videos and creating interactive content on popular Learning Management systems will be covered. Tips for facilitating collaboration and discussions among students will be presented. One of the most important aspects of online teaching is evaluation and grading, for which various options will be presented. The course will also cover the best practices for organizing tutorial and lab sessions.

Learning Objectives

After completing this course, you will be able to:

  • Describe pedagogical principles in an online setting
  • Select software tools for online teaching – LMS, Video and recording and editing, video conferencing platform, discussion forum and evaluation tools
  • Select hardware tools for online teaching: simple home setup (computer, camera, light, mic, background, input devices), simple classroom setup
  • Create and share course material in a structured fashion on LMS
  • Deliver engaging classes and tutorials
  • Organize the course flow such that it includes continuous evaluation (self-assessment, light quizzes, home works, group projects)
  • Conduct evaluation using techniques such as computer aided automatic, peer, and TA assisted evaluation

Important Instructions

Mode: Online. Lecture recordings will be released every day.
Course difficulty: Introductory
Duration: Fixed duration of one week.
Estimated effort: 20 hours
Start: 17th August (Monday). End: 23 August (Sunday).

Registration ends on 14th August.

Pre-Requisites

None. However, the course is designed for teaching faculty from high school to postgraduate programs.

Course Staff

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Instructor #1 : Vishal Garg

Professor Ph.D (IIT, Delhi)

Research Areas: Energy Simulation, Task control of lighting, heating, air-conditioning, smart occupancy sensors, smart homes, I.T. in building science(CBS, EERC)

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Instructor #2 : Aftab M. Hussain

Assistant Professor Ph.D (KAUST, Saudi Arabia)

Research Areas: Flexible and stretchable electronics, IoT devices, Smart city research, LoRaWAN devices

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Instructor #3 : Lalitha Vadlamani

Assistant Professor Ph.D (IISC, Bangalore)

Research Areas: Coding Theory, Information Theory, Signal Processing, Distributed Storage Systems

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Course TAs

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TA #1 : Madhvi Panchal

M.Tech. in Computer Science and Engineering

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TA #2 : Smriti Agrawal

M.Tech. in Computer Science and Engineering

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TA #3 : Yash Upadhyay

M.Tech. in Computer Science and Engineering

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