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One of the best known is a platform called iversity.

Cognitive Class goes beyond pre-recorded lectures, enabling students to practice what they learn through a virtual lab environment. The course, which has an archive from Fall 2014, has one session scheduled in 2015, which started Jan 5th and ends May 4th. Weitz is a professor of Applied Physics. Professor Dan Boneh, head of the applied cryptography group at Stanford University teaches the MOOC.The MOOC Programming Mobile Applications for Android Handheld Systems – Part 1, from University of Maryland, College Park (UMD) on Coursera, covers the basics of developing mobile apps for the smartphones and tablets on the Android platform, from development environment setup to creating apps. Instruction is overseen by Simon Carrie.The MOOC CS50x Introduction to Computer Science, from Harvard on edX / HarvardX, covers the basics of computer programming for both comp sci majors and non-majors. Topics include emulsions, elasticity, diffusion through spherification and more. The course, which is currently archived, is taught by Peter Norvig, PhD (computer science), and Sebastian Thrun, PhD (computer science), both of whom co-founded Udacity. The MOOC platforms are seeing a significant increase in paying users (learners). Total enrollment since the course’s launch in Jan 2013 is more than 500K. Here are 5 great sources for language MOOCs to get you started! Topics include algorithms and problem solving, abstraction, data structures, encapsulation, resource management, security, software engineering, Web development and more. Beyond diverse course offerings, Udacity delivers comprehensive career services, including personalized job coaching, resume writing guidance, and LinkedIn best practices. Twenty years ago, online education made higher ed exponentially more affordable and accessible. It is the same platform that universities such as Harvard and MIT use to offer courses to 100,000+ students. Several German MOOC-providers offer a very wide range of different courses. Plous teaches courses in social psychology and has won several awards, including for teaching. by Melissa Venable, Ph.D. Shoham is a professor of Computer science at Stanford. For this reason data was assembled piecemeal from available resources, many of which were published at different times and did not look at all MOOC platforms. He is also the director of the Center for Programs in Contemporary Writing.The MOOC Introduction to Financial Accounting, from University of Pennsylvania (UPenn) Wharton School of Business (Wharton) is part of Coursera’s The MOOC 6.00x Introduction to Computer Science and Programming, from MIT and edX / MITx, covers the fundamental concepts of programming using Python, including the elements of a computer program, simple algorithms, functions, recursion, objects, debugging, efficiency, memory and search, classes, and object-oriented programming. In the past, to accomodate students’ schedules, the class has taken a one-week break to allow students to catch up with coursework and concepts.The University of Michigan’s Programming for Everybody (Getting Started with Python) is the first course of five in the program’s The MOOC Crypotgraphy I is offered on the Coursera platform, and has been run a total of 16 times, for around 600k total enrolled students. Jump to navigation Jump to search. His mobile virtualization project for The MOOC Introduction to Artificial Intelligence, from Stanford University on Udacity, is the course that is instrumental in the launch of Udacity itself. Total enrollment since the course’s launch in Aug 2013 is over 640k. The course is taught by professor David Evans, a professor of computer science focusing on computer security at the University of Virginia.Stanford’s Algorithms: Design and Analysis, Part 1 focuses on the following fundamental principles: divide-and-conquer methods, graph algorithms, practical data structures (heaps, hash tables, search trees), and randomized algorithms, among others. More specifically, topics include supervised learning, unsupervised learning, best practices in machine learning, case studies and application of learning algorithms for building smart robots, text understanding, computer vision, medical informatics and more.