Module 1: Analytical tools

Sections

When What
Aug 22 Day 1: Computers in General, Review of R
Aug 23 Day 2: R practice, frequentists statisics and machine learning basics

Purpose

  • Warm-up
  • Get everyone on the same page

Day 1: Computers in general, review of R

Schedule for day 1

From To What
8:30 9:00 General introduction
9:00 10:00 Discussion on scientific motivation, computers and tools
10:00 10:15 Files, bash and git
10:15 10:30 Coffee break
10:30 11:30 Files, bash and git
11:30 13:00 Lunch break
13:00 14:15 Files, bash and git
14:15 14:30 Coffee Pause
14:30 15:45 Files, bash and git
15:45 16:00 Coffee Pause
16:00 17:00 R: Example script
17:30 -> Pizza and beer in the Pal Garden

Files, Git and Bash

R Discussion code

Papers


Day 2: Introduction to Statistics and Machine Learning

Schedule

from to what
9:00 10:15 Markdown formatting and git Practice
10:15 10:30 Coffee break
10:30 12:15 Warm-up R exercise / 1
12:15 13:15 Lunch Break
13:15 13:45 Warm-up R exercise / 2
13:45 15:00 Basic Statistics
15:00 17:00 Introduction to Machine Learning

Markdown formatting

Warm-up R exercises

Scripts
Data

Basic statistics

Scripts
Data

Machine learning

Slides
The Abalone dataset