There are 3 MOOCs (Massive Open Online Courses) taking place at partner universities of the Unite! alliance.
Available MOOC at Unite! universities
These open courses cover areas such as Biology, Architecture or Economics.
Metabolic syndrome - When the metabolism runs wild, by TU Graz
This MOOC aims to address the underlying causes and consequences of the metabolic syndrome (MetS), a condition that affects over a billion people worldwide (WHO). The MetS is a compilation of risk factors that includes visceral obesity, high blood sugar and triglycerides, low HDL-cholesterol and hypertension. This online course will deal with diverse aspects related to the MetS.
Dates: Available from 2 May.
Deadline for applying: This MOOC is a self-study course and is available without limit of time.
Duration: 6 units, time required 2 hours/unit.
Expenses: free of charge
Languages: DE/EN/ES
More information
Atlas of Digital Architecture - Part 2, by TU Graz
This MOOC is named after and based on the Atlas of Digital Architecture, a compendious textbook about the myriad ways in which computers are used in architecture today. Through a series of engaging, episodic online lectures and discussions, the online course offers an introduction and orientation to the fascinating and fast changing world of digital architecture. This is part 2 in a series of MOOCs (part 1 here).
Dates: Available from 10 May.
Deadline for applying: This MOOC is a self-study course and is available without limit of time.
Duration: 6 units, time required 2 hours/unit.
Expenses: free of charge
Languages: DE/EN
More information
New data economy, by Aalto university
An Introduction to Anti-rivalry, a new MOOC created by researchers and educators from Aalto University as part of the Horizon 2020 project, ATARCA, is now available for all Unite! members. This course is a free and open access introduction to the concept of anti-rivalry and how it applies to digital goods like data. It also introduces what anti-rivalry means for business.
This course is relevant for business and economics students, those studying information sciences, and those interested in the data economy.
Dates: Available online all the time, no deadlines
Tuition fees: None
More information
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