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Circuits and Electronics 3: Applications
by Anant Agarwal , Gerald Sussman , Piotr Mitros , Chris Terman- 0.0
7 Weeks
The third and final online Circuits and Electronics courses is taken by all MIT Electrical Engineering and Computer Science (EECS) majors. Weekly coursework includes interactive video sequences, readings from the textbook, homework, online laboratories, and optional tutorials....
$169
Learn to Program in Java
by Kasey Champion- 0.0
4 Weeks
In this course, which was developed through a combination of academic and industry perspectives, learn not only how to code in Java but also how to break down problems and implement their solutions using some of the most fundamental computer science tools....
$99
Computational Social Science Methods
by Martin Hilbert- 4.7
Approx. 11 hours to complete
In short, all of them do social science by computational means. Smaldino, from UC Merced, explains how computer simulation help us to untangle some of the mysteries of social emergence. Computational Social Science (CSS) First Ever UC-wide Online Course A Very Short History of Science A Very Simplistic Hierarchy of Science...
Circuits and Electronics 1: Basic Circuit Analysis
by Anant Agarwal , Gerald Sussman , Piotr Mitros , Chris Terman- 0.0
5 Weeks
This is the first of three online Circuits & Electronics courses offered by Professor Anant Agarwal and colleagues at MIT, and is taken by all MIT Electrical Engineering and Computer Science (EECS) majors. Weekly coursework includes interactive video sequences, readings from the textbook, homework, online laboratories, and optional tutorials....
$169
Programming in Scratch
by Colleen Lewis- 0.0
6 Weeks
See how easy learning computer science can be. Want to learn computer programming, but unsure where to begin? This course is an introduction to computer science using the programming language Scratch, developed by MIT. Join us as you start your computer science journey. This material is based upon work supported by the National Science Foundation under Grant No....
$49
Introduction to Quantum Transport
by Supriyo Datta , Shuvro Chowdhury- 0.0
5 Weeks
Students taking this course will be required to complete three (3) proctored exams using the edX online Proctortrack software. To be sure your computer is compatible, see Proctortrack Technical Requirements. Courses like this can also apply toward a Purdue University MSECE degree for students accepted into the full master’s program....
$750
Math for Machine Learning
by Richard Han- 4
5 hours on-demand video
Learn the core topics of Machine Learning to open doors to data science and artificial intelligence. Computer Science Data Science I have created many successful online math courses that students around the world have found invaluable—courses in linear algebra, discrete math, and calculus....
$11.99
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Problem Solving, Python Programming, and Video Games
by Duane Szafron , Paul Lu- 4.2
Approx. 78 hours to complete
This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses. Computer Science...
Solid State Devices 1
by Gerhard Klimeck- 0.0
16 Weeks
three (3) proctored exams using the edX online Proctortrack software. thirty (30) online quizzes are spread throughout the 15-week semester. This course is one of a growing suite of graduate-level courses being developed in an edX/Purdue University collaboration. Courses like this can apply toward a Purdue University MSECE degree for students accepted into the full master’s program....
$2250
Ubiquitous Learning and Instructional Technologies
by Dr William Cope , Dr Mary Kalantzis- 4.5
Approx. 14 hours to complete
Areas addressed include: learning management systems, intelligent tutors, computer adaptive testing, gamification, simulations, learning in and through social media and peer interaction, universal design for learning, differentiated instruction systems, big data and learning analytics, attention monitoring, and affect-aware systems. The Not-So-New School: Individualization in Computer Adaptive Learning Computer Science Teaching Practices...