Javno besplatno open-source obrazovanje

[Dzordz]

@nn.nn
Hvala!

Cini se da je stvarno dobar engleski najveca prepreka u daljem obrazovanju. Barem imam prvi korak na kojem treba raditi

[M.S.]

Dzordze,

Kad budete pravili listu, ako organizujete neku sekciju sa domacim clancima, mozda nekom ovo moze koristiti:

http://webpretraga.com/perl/perl-brz...k/perl-bp.html

[Dzordz]

M.S. Hvala na trudu.

Drustvance ajde imajte na umu coveka pa gde god neko spomene kako nauciti perl a vi prosledite link.

Hvala!

[nn.nn]

http://leanrhcodethehardway.org

Osim Learn Python The Hard Way, tu je sada i Learn Ruby The Hard Way (beta), a piše se i Learn C The Hard Way..

[mangia]

http://qntm.org/files/perl/perl.html

[Adis A.]

Introduction to Computer Science and Programming
http://ocw.mit.edu/courses/electrica...ing-fall-2008/

Prošao sam ceo navedeni kurs, i tokom njega uradio oko 90% "domaćih" zadataka, i oduševljen sam kursem. Najviše tim zadacima koji su imali dovoljno dozu kompleksnosti, ali bili i veoma zanimljivi za početnika. U kursu se koristi programski jezik Python.
Iako sam početnik u svetu programiranja, ako budem mogao nekako da pomognem u ovom poduhvatu, rado ću to učiniti.

[nn.nn]

Stanford University Open Classroom
Full courses. Short Videos. Free for everyone.

Introduction to Human-Computer Interaction Design
Learn the fundamentals of human-computer interaction and design thinking, with an emphasis on mobile web applications.

Web Applications
Learn how to develop web applications. Topics include markup languages, scripting languages, network protocols, interactive graphics, event-driven programming, and databases, and how they all work together.

Practical Unix
A practical introduction to Unix and command line utilities with a focus on Linux.

Design and Analysis of Algorithms
Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; data structures; dynamic programming; graph algorithms; and randomized algorithms.

Introduction to Databases
Database design and the use of database management systems (DBMS) for applications.

Unsupervised Feature Learning and Deep Learning
Machine learning algorithms that learn feature representations from unlabeled data, including sparse coding, autoencoders, RBMs, DBNs.

Discrete Probability
Introduction to discrete probability, including probability mass functions, and standard distributions such as the Bernoulli, Binomial, Poisson distributions.

Machine Learning
Introduction to applied machine learning. In this course, you'll learn about machine learning techniques such as linear regression, logistic regression, naive Bayes, SVMs, clustering, and more. In addition, you'll also learn the practical, hands-on, skills and techniques needed to get learning techniques to work well in practice.

[...]

[M.S.]

Pozdrav Narode,

Upravo sam zavrsio SQL Besplatan Online Kurs na nasem jeziku. Trenutno ima 58 lekcija.

Povezao sam ga sa Access-om, pa cu kasnije napraviti nesto i za MySQL...

Imam jos dosta toga u planu, ali za sada toliko od mene.

Mozda ce biti nekih kozmetickih ispravki i ubacivanja/prepravke linkova, ali u principu, to je to.

[Dzordz]

http://www.businessinsider.com/khan-...cation-2011-11

Malo vesti iz svetskog obrazovanja

M.S. Svaka cast na trudu!

[Dzordz]

MIT upgraduje svoju ponudu
http://www.forbes.com/sites/jamesmar...ation-for-all/