User talk:Ksaareme
From ICO wiki
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.