RI Y4 CEP Lesson 01 2022

Y4 CEP - Introduction to Computational Thinking and Data Science Lesson 0

Assumptions . • proficient with basics of Python: • conditional statements • loops • familiar with writing object – oriented programs in Python 3 • class • attributes • methods • getter • setter

Expectations • less about learning to program, more about dipping your toes into data science • using mathematics and statistics together with programming to better understand “things”

How you will be graded • Homework / in-class Tasks (30%) • Programming Tasks • FSR (30%) • Individual Finding/Sharing/Reflecting • peer evaluation for sharing component (both evaluated) • ~Weekly Quiz (40%) • pen and paper / may include some programming questions • short answer , True/False, MCQ , code writing • ~30 min before start of lesson

What is expected of you . . . • revisit the PowerPoint Slides • test the codes in the readings and slides • work on the tasks (if any) • delve deeper on your own

Topics to discuss . . . • some simple numerical problems • complexity, searching & sorting • optimization problems • graph-theoretic models • stochastic thinking • random walks • Monte Carlo simulation • confidence intervals • sampling and standard error • experimental data • introduction to machine learning • clustering • classification in total about 15~16 lessons • FSR about 2~3 lessons

Some Simple Numerical Problems Lesson 1

finding cube root