Coding is one of the most lucrative skills in the industry. It opens up a plethora of options for you as a programmer.
If you are looking to make money through your skills, then you are in luck! There are many ways one can earn money.
One such way is teaching others how to build products.
Computer science as a field requires curricular guidance, as new innovations are filtered into teaching its knowledge areas at a rapid pace. Furthermore, another trend is the growing number of students with different cultural backgrounds. These developments require taking into account both the differences in learning styles and teaching methods in practice in the development of curricular knowledge areas. In this paper, an intensive collaborative teaching concept, Code Camp, is utilized to illustrate the effect of learning styles on the success of a course. Code Camp teaching concept promotes collaborative learning and multiple skills and knowledge in a single course context. The results indicate that Code Camp as a concept is well liked, increases motivation to learn and is suitable for both intuitive and reflective learners. Furthermore, it appears to provide interesting creative challenges and pushes students to collaborate and work as a team. In particular, the concept also promotes intuition.
A live-coding Processing environment addresses neither of these goals. JavaScript and Processing are poorly-designed languages that support weak ways of thinking, and ignore decades of learning about learning. And live coding, as a standalone feature, is worthless
Free Courses, Lecture Notes, Syllabus, Tutorials, Audio & Video from MIT professors. All Free. No registration. Including Electrical Engineering and Computer Science courses
a series of learning activities that reveals a little-known secret: computer science isn't really about computers at all. Unplugged teaches principles of computer science through games and puzzles.
Invent Your Own Computer Games with Python is a free ebook programming tutorial for the Python programming language. Learn how to program by making fun games!
void emptyVase( int flowersInVase ) {
if( flowersInVase > 0 ) {
// take one flower and
emptyVase( flowersInVase - 1 ) ;
} else {
// the vase is empty, nothing to do
}
}
A. Luxton-Reilly. Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, Seite 284--289. New York, NY, USA, ACM, (2016)
H. Lieberman. Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems, Seite 144--. New York, NY, USA, ACM, (1993)
P. Frison. Proceedings of the 2014 Conference on Innovation &\#38; Technology in Computer Science Education, Seite 334--334. New York, NY, USA, ACM, (2014)
S. Rodger, M. Bashford, L. Dyck, J. Hayes, L. Liang, D. Nelson, und H. Qin. ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education, Seite 234--238. New York, NY, USA, ACM, (2010)
L. Rich, H. Perry, und M. Guzdial. SIGCSE '04: Proceedings of the 35th SIGCSE technical symposium on Computer science education, Seite 190--194. New York, NY, USA, ACM, (2004)
B. Simon, P. Kinnunen, L. Porter, und D. Zazkis. ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education, Seite 214--218. New York, NY, USA, ACM, (2010)
K. Sung, M. Panitz, S. Wallace, R. Anderson, und J. Nordlinger. SIGCSE '08: Proceedings of the 39th SIGCSE technical symposium on Computer science education, Seite 300--304. New York, NY, USA, ACM, (2008)
A. Sánchez-Ru\'ız, und L. Jamba. ACM-SE 46: Proceedings of the 46th Annual Southeast Regional Conference on XX, Seite 24--29. New York, NY, USA, ACM, (2008)
R. Garlick, und E. Cankaya. ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education, Seite 165--168. New York, NY, USA, ACM, (2010)
A. McAndrew, und A. Venables. SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science education, Seite 337--341. New York, NY, USA, ACM, (2005)- Kuvaprosessoinnin osa-alueita opetettiin yläkoululaisille: kvantisointi, kohinanpoisto, yms.
- Oppilaat tyytyväisiä
- Ei syytä miksei voisi opettaa jo ennen undergraduate/post-graduate tasoa.
E. Sweedyk, M. deLaet, M. Slattery, und J. Kuffner. SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science education, Seite 256--257. New York, NY, USA, ACM, (2005)
J. Bayliss, und S. Strout. SIGCSE '06: Proceedings of the 37th SIGCSE technical symposium on Computer science education, Seite 500--504. New York, NY, USA, ACM, (2006)- CS1 peliteemalla 10 viikon kesäkurssina
- Peliteema näkyi sekä luennossa, että demoissa
- Opiskelijat eivät saaneet suoraan kredittiä kurssista
- Opiskelijat menestyivät paremmin, eivät kokeneet vaivautumista parempien opiskelijoiden takia (lienee osittain etämuotoisen kurssin ansiota), hieman pienempi keskeyttämisprosentti
- Naisia 2 kpl 48:sta aloittaneesta. 4 ei koskaan aloittanutkaan, 3 keskeytti kesätöiden takia, 1 sairastui vakavasti, 3 lopetti muuten vaan.
- Kurssia mitattiin tasokokeella sekä opiskelijoiden mielipiteiden mittauksella.
M. Masuch, und L. Nacke. International Conference on Computer Games: Artificial Intelligence, Design and Education, Seite 347--351. Reading, UK, University of Wolverhampton UK, (November 2004)