- What if you had a machine that could do all your homework for you? - How do you take control of your fitness using your FitBit or Smart Watch? - How do you create music if you feel you're not a good musician? - How do you control your diet when you know there's something you want to eat and you can't control the urge? - How do you accurately manage your time? - How do you control your spending and improve your credit score? - How do you control addiction to gaming and smoking? - How do you read your textbook in less than 10 minutes? - How do you use AI to recommend you a strategy to get into your dream college? - How can AI strengthen your personal safety and notify you when danger is present? In this class, we will not only answer the above questions, but we will also discuss examples of limitations and provide a seminar to share individual experiences of interacting with data and artificial intelligence. Conceptually, we will go over a day-to-day data science workflow and introduce opportunities to pursue Data Science internships through a non-profit called ChanR Analytics.

- How you can apply data science to change your life - How can you use maps to describe the impact of solar in California? (Guest speaker) - How can you use data science to prevent bullying? - How can you use data science to make money while you're sleeping? - How do self driving cars work? - How can data science help you improve your mental health? In this class, you will learn to solve real world issues with data science in a hands-on manner. We will develop an an end-to-end workflow which involves the use of Python programming, data collection, exploratory data analysis, geographic information systems (GIS), data visualization, data transformation, cloud computing and framework design. Machine Learning will be adopted to some extent from an understandable point of view, but actual predictive model development will take place in the Machine Learning course. - Students are encouraged to bring their own computers.

This is a hands-on applied class which will explore the following applications and tools: - EDM Track Generation with IBM Watson Beat and Google Magenta - Tools - Python Programming - GitHub - Google Cloud Platform - Logic Pro - Detecting Faces in Images - Tools - JavaScript - Tensorflow.js - Dart - Flutter - App Emulator (Visual Studio Code or Android Studio) - Students are encouraged to bring their own computers.