Bhutan-Korea Information Access Center (IAC) at RIM in collaboration with World Friends Korea ICT Volunteers (KIV) is going to offer two parallel training programs starting from 9th August – 20th August, 2021.
Program 1: Data Analysis using Python
Duration: Three Weeks
Break Down of the program:
Week 1: 9 August – 20 August 2021
Pre-recorded video and other materials will be provided for the participants to learn and complete the learnings by themself.
Week 2: 16 – 20 August, 2021
Online Classes will be conducted by the volunteers. So, participants have to attend all the class for a week.
Week 3: 23 – 27 August
Development of python project and presentation. No online class with the volunteer.
About Python Programming
Python is a widely-used, interpreted, object-oriented, and high-level programming language with dynamic semantics, used for general-purpose programming. Python is an easy to learn, understand and easy to use language. Even a beginner who do not have any knowledge in coding can learn python.
Who can take this course:
There is no pre-requisite for this course. Therefore, anyone who have completed 12th standard, diploma, college and other higher studies may apply for this short course.
Course Fee: The course is FREE.
Mode of delivery:
The course will be delivered online by the volunteers. Classroom teaching by the faculties of RIM for those who have not learned any programing language and for those who are interested in doing in-campus classroom learning. Participants who do not have access to computer and internet facility, are recommendedto come to RIM and attend the class. More details on the program will be shared once you are registered for the program.
To Register: Click this link and fill up the form https://forms.gle/aauXFBZSPajZrnPy6
Program 2: Teachable Machine and Python
Duration: Two Weeks
Week 1: 9 August – 13 August 2021
Pre-recorded video and other materials will be provided for the participants to learn and complete the learnings by themself. Class will be taken in RIM for those who have no prior knowledge in programing so that when online class with KIV volunteers happen, they will be ready to work on the project.
Week 2: 16 – 20 August, 2021
Online Classes will be conducted by the volunteers. So, participants have to attend all the class for a week.
Teachable Machine
Teachable Machine is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone. Teachable Machine lets you train your own machine learning model with the click of a button, no coding required, and export it to websites, apps, physical machines and more. Teachable Machine can also recognize sounds and poses, like whether you’re standing or sitting down.Using this tool, anyone can train a neural network live in their browsers by providing a few examples through their camera.
Who can take this course:
There is no pre-requisite for this course. Therefore, anyone who have completed 12th standard, diploma, college and other higher studies may apply for this short course. If you have basic programming knowledge, that would be a plus point. Basic python programing will also be covered.
Course Fee: The course is FREE.
Mode of delivery:
The course will be delivered online by the volunteers. There will be Classroom teaching by the faculties of RIM, for those who have not learned any programing language and for those who are interested in doing in-campus classroom learning. In Week1 (pre-training), python basic will be covered, so participants without prior knowledge in programing will be taught in-campus. Participants who do not have access to computer and internet facility, are recommended to come to RIM and attend the online class. More details on the program will be shared once you are registered for the program. At the end of the course, one project will be developed. More details on the program will be shared once you are registered for the program.
To Register: Click this link and fill up the form https://forms.gle/SeBTMQKYYPZX9UbC7
For enquiry: call or email
Mobile Number: 77292837
Email ID: kuenga_yangki@rim.edu.bt