The Karlsruhe Institute of Technology is one of the largest and most prestigious research and education institutions in Germany known for its high quality of research work around the world.
The MOOC ‘Idea Generation’ is a collaboration between the Karlsruhe Institute of Technology (KIT) and KIC InnoEnergy aiming to explain techniques for the goal and process oriented generation of ideas. Idea generation is part of the fuzzy front end of the innovation process. Because of the close collaboration between KIT and KIC InnoEnergy, participants have the possibility to work on specific innovation topics in the area of sustainable energy.Dr. Daniel Jeffrey Koch will impart a broadly diversified knowledge of the methods used in idea generation. Moreover, Felix Teufel and his colleague Dominic Buchholz (both from the Business Innovation sector in KIC InnoEnergy) will assume a supporting role in the course to present the topics innovation and idea generation from a practical view.The course language is English, and the workload is about 4h/week.The aim of the course is to enable participants to apply methods of idea generation on their own project. Besides explaining these methods to other participants, it is also expected that participants develop a self-chosen idea.What do I learnParticipants will be able to understand and apply certain methods of idea generation on any self chosen topic. For example, they will understand and apply methods such as Mindmapping & Clustering, 6-3-5, World Cafe & DeBono Hats, Concept Mapping, Scenario Techniques ( e.g. STEEP), Roadmapping and many more - always in a structured process.
Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWelcome to the CLICS-Machine Translation MOOCThis MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.After taking this course you will be able to understand the main difficulties of translating natural languages and the principles of different machine translation approaches. A main focus of the course will be the current state-of-the-art neural machine translation technology which uses deep learning methods to model the translation process. You will be able to decide which concepts fit your machine translation application best.This course is taught by Prof. Dr. Alexander Waibel (http://isl.anthropomatik.kit.edu/english/21_74.php) and Assistant Professor Dr. Jan Niehus (https://www.maastrichtuniversity.nl/jan.niehues).