Dr. Gerald Friedland is Principal Data Scientist at Lawrence Livermore National Lab and Adjunct Assistant Professor at the University of California, Berkeley. He leads a group of multimedia researchers, mostly focussing on acoustic analysis methods, machine learning, privacy and education. Dr. Friedland has published more than 200 peer-reviewed articles in conferences, journals, and books. He lead the creation of the teachingprivacy.org portal and authored a textbook on Multimedia Computing together with Dr. R. Jain published by Cambridge University Press. He also co-authored the edited research book "Multimodal Location Estimation" with J. Choi, which appeared with Springer. Dr. Friedland is the recipient of several research and industry recognitions, among them the European Academic Software Award and the Multimedia Entrepreneur Award by the German Federal Department of Economics. Dr. Friedland received his doctorate (summa cum laude) and master's degree in computer science from Freie Universitaet Berlin, Germany, in 2002 and 2006, respectively.
Dr. Friedland is also very engaged in the maker community. Together with his business partner Bertrand Irissou, he created the MOVI offline speech recognition Arduino shield (audeme.com) for which he received a Blue Ribbon Award at the Silicon Valley Maker Faire 2015. After the projected was successfully funded on Kickstarter two years ago, the board is now sold by Amazon, Arrows, and MicroChip.
Beginning Programming Using Retro Computing
Chapter 1: Getting Started
Chapter 2: Simple Drawing
Chapter 3: Math
Chapter 4: Sound
Chapter 5: Colors
Chapter 6: Graphics
Chapter 7: Errors
Chapter 8: Variables
Chapter 9: Math and Variables
Chapter 10: A Program
Chapter 11: Questions
Chapter 12: Counting
Chapter 13: Conditions
Chapter 14: More Programs
Appendix: Saving and Loading