Harvard University · edX
Data Science: Building Machine Learning Models
4.4133 ratingsBuild a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Computer Games and Simulations for Education and Exploration
Overview
This course immerses students in the process of building and testing their own digital and board games in order to better understand how we learn from games. We explore the design and use of games in the classroom in addition to research and development issues associated with computer–based (desktop and handheld) and non–computer–based media. In developing their own games, students examine what and how people learn from them (including field testing of products), as well as how games can be implemented in educational settings.
Skills you'll practise
Advantages and disadvantages
Advantages
- The real MIT course: lecture notes, problem sets and exams, often with solutions.
- Free, with no sign-up or deadlines.
- Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
- Completely free.
- Self-paced: start any time.
Disadvantages
- No certificate, no grading and no forum: you need to be self-driven.
- Many courses are recordings of past semesters and some have notes only, no videos.
- No certificate.
Some points apply to every course of this kind; see how we rank.
Free to learn
- Free: All the materials are free to use, with no sign-up. MIT OpenCourseWare gives no certificate.
Taught by
- Prof. Eric Klopfer
Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.
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