TIES4911 Deep-Learning for Cognitive Computing for Developers (5-10 cr)
Learning outcomes
By any measure, the past few years have been landmark years for the discussion around Artificial Intelligence and its potential impact on business and society. Being based on Artificial Intelligence, Cognitive Computing Systems are "systems that learn at scale, reason with purpose and interact with humans naturally". Cognitive Computing solutions encompass Machine Learning, Reasoning, Natural Language Processing, Deep Learning, Speech and Vision, Human-Computer Interaction and more. The course aims to provide practical view to the domain of Cognitive Computing and Machine Intelligence. Students will be capable to design and build own services and apps using cloud-based Cognitive Services of such big competing player in this field as IBM, Google and Microsoft. At the same time, students will learn how to build Machine Intelligence based solutions using corresponding open-source software libraries (e.g. TensorFlow).
Further information
Please note that beginning of the academic year 2019-2020, the course will award 8-10 ECTS
Materials
All the study related materials are available from the course web-page:
Assessment criteria for each grade
More information is available at the course web-page:
Prerequisites
There are no specific requirements. However, the course is practical and requires at least basic skills in programming (e.g. Java and Python programming languages). It would be easier to follow the course having at least a basic knowledge of SOA and Cloud Computing, Data Mining, Artificial Intelligence, Knowledge Engineering and Natural Language Processing.