
As many universities are moving to distance learning due to the ongoing COVID-19 situation, it is vital for educators to think carefully about how to adapt their approach to still deliver key learning outcomes for students in an online setting. Ascendas Systems is at the forefront of supporting universities as we are transiting to distance learning. We are more than glad to partner with educators to support them in achieving their goals for teaching and learning.
20 May 21 | 09:00-12:00 (GMT+7) | Via Zoom
Agenda
| 09.00 – 09.30 AM | E-Learning with MATLAB, How does it work? |
| 09.30 – 10.00 AM | What's MATLAB Grader? |
| 10.00 – 10.15 AM |
Break |
| 10.15 – 11.00 AM |
[Engineering] Online Teaching & Auto-Grading with MATLAB |
| 11.00 – 11.45 AM |
[Science] Online Teaching & Auto-Grading with MATLAB |
| 11.45 – 12.00 PM | Q&A |
In this live webinar, we will address some of the frequently asked questions that educators have been asking us and discuss resources as well as approaches to support them.
21 May 21 | 09:00-12:00 | Via Zoom
Agenda
| 09.00 – 09.30 AM | E-Learning with MATLAB, How does it work? |
| 09.30 – 10.00AM | What's MATLAB Grader? |
| 10.00– 10.15 AM |
Break |
| 10.15 – 11.00 AM |
[Medical] Online Teaching & Auto-Grading with MATLAB |
| 11.00 – 11.45 AM |
[Finance] Online Teaching & Auto-Grading with MATLAB |
| 11.45 – 12.00 PM | Q & A |
Create auto-graded MATLAB® assignments using MATLAB Grader. Build MATLAB coding problems and store them in collections. Host courses for students on MATLAB Grader, or include MATLAB based assignments in your Learning Management System based course.

Supamith Sutharojana
Application Engineer Team
Lead at Ascendas Systems
He specializes in the areas of Model-Based Design and Auto Code Generation with MATLAB/Simulink. He holds a bachelor’s degree from Chulalongkorn University major in Automotive Engineering. Before joining Ascendas Systems, he was an Engine Software Designer at Toyota Daihatsu Engineering & Manufacturing working in Engine Calibration and Engine software development field.

Kantika Wongkasem
Application Engineer
Ascendas Systems
She specializes in the areas of Image processing and Convolution neural network are a subset of machine learning, and they are at the heart of deep learning algorithms. Kantika received her a bachelor’s degree from King Mongkut’s Institute of Technology Ladkrabang with senior project Sign Language Detection use webcam camera to study image processing and learning algorithms with MATLAB. and now studying Master degree in Engineering Technology at Thai-Nichi Institute of Technology with research image processing analysis application in the animal industry
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