User talk:Ksaareme

Statistics Lecture One, 02.01.16

Primary Material:
Course Homepage: http://www.cs.ioc.ee/ITKStat
e-Book:           http://onlinestatbook.com/Online_Statistics_Education.pdf

Primary Software
R: https://www.r-project.org/

Introduction to Statistics
Descriptive statistics are used for presenting, organizing and summarizing data. 
Inferential statistics are about drawing conclusions about a population based on data observed in a sample.

Data Analysis Process
Data collection and preparation: Collect Data, prepare codebook, set up structure of data, enter data, screen data for errors
Exploration of data: Descriptive statistics, graphs
Analysis: Explore relationship between variables, compare groups

Python Lecture and Practicum Notes

Lecture 1

---

Get an idea what to do by next week. Ideas:

// 1. Pyglet,pygame or kivy for a game or simulation:
    1.1. MP beat em' up
    1.2. Survival space sim, use webcam for dynamic view
    1.3. Planet rotation simulation
    Check out 
    http://nehe.gamedev.net/
    http://learnpythonthehardway.org/

// 2. WebApp
    2.1. Budget Management with a GUI

// Notes: 
   * Set up RPi web-server
   * Use XMind to map the idea first
   * Run basic website and deploy webapp to it. 
   * Check out RPi components and sensors. 
   * Buy a breadboard.
   * Check out Notepad++

Web App Programming Lecture and Practicum Notes

database: MySQL -- hosts data, indexed
php: Generates html, server side language
Apache: reads php files and over excecution to PHP interpreter
html: Structure and contents of the web page, (dom-tree)
css: styling information
javascript: client side programming, interacts with html
ubuntu: hosts the programs ( packetization, tcp segmentation )

HTTP requests
node.js -- php
ngix -- apache
nchan

http sockets, streaming push module
WAMP for Windows

http://enos.itcollege.ee/phpmyadmin/
PHP and APACHE is there

http://enos.itcollege.ee/~ksaareme to see changes

W3C validation https://validator.w3.org/

Node.js

Stuff about node.js.