This class is graded P/D/F. To pass, you must: (i) attend all the cleanroom sessions, (ii) work in a team setting, and (iii) finalize your image processing for the image contest, (iv) write a scientific paper/article on the research findings as a team, and (v) demo the final device functionally. By the end of Class #1, students must decide whether to register or drop the course.
Decoders 1.4 builds on the combination of knowledge and skills learned in D1.0 and D1.3, respectively to guide students to develop their own mechanically adaptive (i.e., stretchable & flexible) piezoelectric systems. Students will learn how to write an article about their research findings that will be published on the course website by the end of semester. The midterm project is to submit an image of a process and/or a device component with an artistic/personal view. Students show how their personality reflects on projects and more broadly to make potential changes on the society. The images can be edited using any software such as Photoshop to reflect social and emotional vision with the device part. Recognitions are given to all images (e.g., ‘The best color’) at the Image Contest. The mini videos taken by students throughout the semester result in the final video of the project development.
Class 1: February 6th, 2020 — (E15-466)
Class 2: February 13th, 2020 — (E15-466)
Class 3: February 20th, 2019 — (E15-466 & E15-443a)
Class 4: February 27th, 2020 — (E15-466)
Class 5: March 5th, 2020 — (E15-466 & E15-443a)
Class 6: March 12th, 2020 — (E15-443a)
Class 7: March 19th, 2020
Class 8: April 2nd, 2020 — (E15-443a)
Class 9: April 9th, 2020 — (E15-466 and E15-443a)
Class 10: April 16th, 2020 — (E15-466 and E15-443a)
Class 11: April 23rd, 2020 — (E15-443a)
Class 12: April 30th, 2020 — (E15-443a)
Class 13: May 7th, 2020 — (E15-443a)
Class 14: May 14th, 2020 — (E15-466)