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--- ip:ws2021:lets_plaiy:todo_t:start [2021/09/28 11:08] – harley001
+++ ip:ws2021:lets_plaiy:todo_t:start [2021/10/16 21:11] – rolf001
@@ Line 6: / Line 6: @@
   * <do>Setup Discord Server including categories (IP ...) and channels (General Discussion? Announcements?) -> Responsive comm.</do>
   * <do>(Mattermost?)</do>
-  * <do>Missing orders! Powerback (350€ incl. tax), Drivers (291€ incl. tax)</do>
+  * <do> (in process) Missing orders! Powerback (350€ incl. tax), Drivers (291€ incl. tax)</do>
-====== Deliverables ======
-**Main goal**: Develop, design and implement teaching materials on __artificial intelligence__ (AI) for schools (primary schools, age 9-11 years).
-**Requirements**:
-  * **Easy to follow**: The teaching material should be easy to follow, with a defined structure that connects each of the topics in a way that is easy to absorb. The material can even have a story telling that proposes solutions to current problems such as global warming, garbage in the oceans, deforestation and more.
-  * **Interactive**: The content must be interactive, with gamification strategies that encourage curiosity to continue learning.
-  * **Learning experience**:
-  * Teaching material, design and implement
-  * Material for primary schools (age 9-11)
-  * SNAP! tutorial first (age 9-11)
-  * SNAP! as a frontend for image classification
-  * Train CNN with your own object
-  * Jetbot follows your own object
-  * Object Detector with Camera on Jetson (or rtp, rtsp, rtmp) with ssd-mobilenet
-  * Enhanced NVIDIA Jetson tutorial for OD suitable for kids (NVIDIA is still too complex)
-  *
-====== Steps ======
-  * OER prototyping on Wiki
-  * Structure, Material, Content
-  * Later implementation on Moodle, openEdX, etc.
-  * Workshop with NVIDIA material for Jetson (understanding complexity!):
-    * Dustin Franklin's material first (detectnet, IC, OD, IS)
-    * Dana Sheahen's material (Jupyter, image classification)
-    * Jim Benson's material (Jetbot, Linux, setup of Jetsons)
-  * Learn SNAP!
-  * Concept to communicate between detectnet and SNAP!
-  * Teaching material