UCSD CSE SPIS: Foundations of Computer Science (FOCS), 2018

Week 1

• Sun 08/05 — SPIS Orientation Session—Meet the staff, get your stuff, including first homework assignment.
• Mon 08/06 — First looks—Overview and introduction to CS, SPIS, UNIX, github and lab00
• Tue 08/07 — Picobot —Introduction to Picobot and lab01
• Wed 08/08 — Variables, Data, Functions and Conditionals—Introduction to programming basics in Python
• Thu 08/09 — —
• Fri 08/10 — Turtle, Lists and Loops; and Breadth/Depth—8:45am class, then two options for lecture at 10:15
• Breadth —Compressing information
• Depth —
• Closing Circle —Reflect on awesome moments

Week 2

• Mon 08/13 — Turtle, Lists, Loops, and Begin Recursion—Do more with the Turtle, use lists and loops and start recursion
• Tue 08/14 — —
• Wed 08/15 — Recursion Practice, Begin Pictures—More Practice with Recursion, Start working with Pictures
• Thu 08/16 — Pictures—Basics and working with loops
• Fri 08/17 — FoCS and Breadth/Depth—Mutable references / Two options for lecture
• Breadth: Advanced Recursion, Seam Carving and Dynamic Programming —
• Depth —
• Closing Circle —Reflect on awesome moments

Week 3

• Mon 08/20 — Image processing and binary numbers—HSV color space, image processing filters, bits and number representations
• Tue 08/21 — Introduction to electronics—KCL, KVL, Ohm's law
• Wed 08/22 — Raspberry Pi and Webapps—Introduction to RPi and Webapps
• Thu 08/23 — Markov chains, dictionaries and files—
• Fri 08/24 — Probability and Naive Bayes classification + Breadth/Depth—More info on Lab07 + Two options for lecture
• Breadth —
• Depth —Mutable data, Images, Nested Loops and If-Statements
• Closing Circle —Reflect on awesome moments

Week 4

• Mon 08/27 — More probability, debugging and resume workshop—
• Tue 08/28 — Finite State Machines—Mealy and Moore FSM
• Wed 08/29 — Introduction to the Project Areas—Three parallel depth sessions, followed by open house
• Thu 08/30 — APS only—Start of Projects
• Fri 08/31 — Project Time—work on your final projects
• Closing Circle —Reflect on awesome moments

Week 5

Machine Learning

• Data Science Project Ideas — What to do when you don't know what to do.

Robotics

• Introduction—What do we mean by *robotics*
• Raspberry Pi—What is the Raspberry Pi
• Resources—Getting started with RPi, sample code and other information

Web Apps

• APIs—Application Programming Interfaces
• Bootstrap Navigation Bar Demo—A quick and dirty way to get a navigation bar
• Anything but Bootstrap Tutorial—Learning front end design from the ground up, and making websites that have personality.
• Databases—Storage that lasts longer than a single session
• Databases: MongoDB—NoSQL database system
• Databases: Implementing MongoDB—Steps to add MongoDB to your WebApp
• Flask—A web application framework written in Python
• Flask: Advanced Topics—If you just can't wait for us to get around to the advanced topics
• Github API—Accessing Github from a webapp (or, any app for that matter)
• Heroku—Using Heroku to host Flask-based Python webapps
• Intro—What are Web Applications all about?
• OAuth—Delegating username/password authentication to Github, Facebook, Google, etc.
• OAuth: Actually doing it—Adding OAuth to an existing Flask Webapp
• OAuth: Deploy—Deploying the OAuth Code on Heroku
• OAuth: Github—Client Credential Setup for Github
• OAuth: Testing Locally—Test without Heroku
• Paper.js—A client-side library for working with the Canvas element
• Sessions—Working with Sessions in Flask
• Webapps Intro, Part 1—Getting Started with Flask
• Webapps Intro, Part 2.5—Better Navigation on your Web App - Nav Bars
• Webapps Intro, Part 2—ftoc (from url), and intro to templates
• Webapps Intro, Part 3—Getting started with Heroku on ETS
• Webapps Intro, Part 4—Deploying an existing Flask App on Heroku
• Webapps Intro, Part 5—Working with Sessions in Flask