User talk:Akerge: Difference between revisions
Line 28: | Line 28: | ||
punif(x,a,b) | punif(x,a,b) | ||
</code> | </code> | ||
* Central Limit Theorem | * Central Limit Theorem | ||
Line 43: | Line 44: | ||
* Review the practice video of 19th of April, last 30 min. | * Review the practice video of 19th of April, last 30 min. | ||
'''Go through (watch) these courses:''' | |||
* [Inferential Statistics https://www.khanacademy.org/math/probability/statistics-inferential] | |||
* [Descriptive Statistics https://www.khanacademy.org/math/probability/descriptive-statistics] | |||
* Read the corresponding chapter in Online Stat Book & finish the exercises | |||
==OS's== | ==OS's== |
Revision as of 11:18, 26 April 2016
Homeworks
Statisticks
Finish Udemy R basics course.
Review first 10 minutes of 22.03.16 lecture. Starting from page 203 from "Introduction to Statistics", including Binomial, Poisson, multinomial distributions until 7th chapter regarding normal distributions. What is a normal deviation? What is a percentile? Finish the exercises.
From the book
- Probability density function
- Bernoulli trials (Binomial Probability Formula)
- Cumulative distribution
pnorm
qnorm
dnorm
etc.
runif(n,a,b)
dunif(x,a,b)
punif(x,a,b)
- Central Limit Theorem
All of the above can be found from pages 203–211 and 249–272.
Also:
- Advanced Graphics from pages 273–299:
- qq-plots – to compare distributions
- Cumulative distribution function (CDF)
- Contour plots
- 3D plots (rgl lib)
Midterm exam retake is on 29th of April from 8 'til 10.
- Review the practice video of 19th of April, last 30 min.
Go through (watch) these courses:
- [Inferential Statistics https://www.khanacademy.org/math/probability/statistics-inferential]
- [Descriptive Statistics https://www.khanacademy.org/math/probability/descriptive-statistics]
- Read the corresponding chapter in Online Stat Book & finish the exercises
OS's
Review homework
Python
Finish CodeCademy course!
Do CodingBat exercises daily!
Start programming with Raspberry!
Review 17.03 lectures
REVIEW YaLP with bpython
Web App
- Finish SQLite track on Codecademy
- Get on track with the Lauri's git
- Standalone temperature monitor that can be used without external power and the curve output to a web page.
InfoSys Analysis
Keep an eye on workshops and quizzes.
Intro to Cybersec
- Review first 20 min of 06.04.2016 lecture
- EIK 2016
- Keep an eye on what's happening in Cybersec industry. Enforce the habit
- What will be the presentation topic(/demo) ?
Networking
Finish networking labs and exam ASAP!