An introduction to programming for STEM teachers

3 Jun 2019, 08:30 → 4 Jun 2019, 16:00 America/Puerto_Rico

Physics Building F437 (Sala De Computos) (UPRM, Mayaguez, Puerto Rico)

Matthew Bellis (Cornell University/Siena College (US)), Sudhir Malik (University of Puerto Rico (PR))

Registration is full. To be wait listed send email to sudhir.malik@upr.edu

Note: Registration is limited to 15 participants and deadline to apply is 20 May, 2019

Place: Physics Building - F437 (Sala De Computos)

The NSF funded project like FIRST-HEP or IRIS-HEP strives to create a highly visible model and framework for future software training evolution within the U.S. and international HEP (High Energy Physics) communities. Its plan includes a dedicated outreach activity on  software training to the local Puerto Rico STEM teachers. The most effective way for FIRST-HEP to reach K-12 students and parents is to train teachers in the basics of computing and its vital role in science. To achieve above goal a two 2-day workshop is organized for K-12 teachers at UPR Mayaguez to teach basic Software Skills. We expect this will encourage the teachers and school authorities to consider incorporating the basic software carpentries into the high school curriculum.

Non-local teachers can be paid 2-day hotel and per diem.

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Monday, 3 June

1 Register, coffee etc.

2 Welcome

Speaker: Sudhir Malik (University of Puerto Rico (PR))

3 Orientation to goals of workshop

Speaker: Matthew Bellis (Cornell University/Siena College (US))

Google Slides

4 Working break to get everyone logged in and set-up with computers

p5js login - Google Doc

p5js_login.pdf

5 Introduction to Processing

Google Slides

6 Processing I (hands-on)

Google Slides

12:30 Lunch break

7 Processing II (hands-on)

Material is continuation from the earlier session.

8 Preview of python and Colab for the next day

Google Slides

Tuesday, 4 June

9 Coffee, early arrivers can ask questions about previous days work

10 Introduction to python

Google Slides

11 Basics of python, Jupyter notebooks, and Colab (hands-on)

Google Slides

12 Data analysis with python I (hands-on)

Material is a continuation of the earlier session.

12:30 Lunch

13 Data analysis with python II (hands-on)

Material is a continuation of the earlier session.

14 Summary and discussion of additional resources

Google Slides