The University of Oslo (UiO) is seeing high demand for skilled data scientists from all industry sectors, and a general interest in Deep Learning and Artificial Intelligence. To provide more skilled workers for the industry, UiO is joining forces with nearby Research Institutes to offer a compact program aimed at corporate employees.
The course is tailored for experienced data scientists, engineers and developers who want to extend their knowledge into Machine Learning. The 9-week course will get the participants started with Deep Learning and help them understand its opportunities, challenges and limitations. The course approach is practical, giving hands-on experience and empowering the students to better understand methodologies and technology components needed for successful use of Deep Neural Networks (DNNs).
The course will start with an introductory lecture on the evolution of Deep Neural Networks, followed by eight lectures combining presentations and lab work. Every lecture is followed by a 1-hour lab exercise exploring data sets related to the lecture.
For each lecture there will be a pre-lab to set up the dataset used in class. The four first lectures aim to provide sufficient general and technical knowledge about Deep Neural Networks to support the subsequent and application-oriented lectures. The course will be experimental and reflective, and seeks to combine insights and best practices across problem areas.
At the end of the 9-week program, the closing lecture will focus on the impact of AI and Deep Learning on industry and society
Professor Ole-Christian Lingjærde, Department of Informatics, Research Group for Biomedical Informatics.
Professor Geir O. Storvik, Department of Statistics, UiO
Anne Solberg, Professor,
Department of informatics, Research group for digital signal processing and image analysis, UiO.
Dr. Arnt Børre Salberg, Norwegian Computing Centre (NR).
Professor. Knut Liestøl, Department of Informatics, Research Group for Biomedical Informatics, UiO
Dr. Helene Schulerud, SINTEF Digital
Dr. Arnt Børre Salberg, Norwegian Computing
Dr. Hans Jørgen Bang, Chief Scientific Officer, SensiBel
Professor Nils Damm Christophersen, Centre for Entrepreneurship, Department of Informatics, University of Oslo.
Participants are expected to have a master’s equivalent in some quantitative discipline; statistics, math, engineering, or in a discipline extensively using tools from quantitative areas. Good programming skills are required, and Python is used throughout the course.
Laptops are required, and tablets will not be sufficient for the computing activities performed in this course.
Price: NOK 17.500 per participant.
The number of participants is limited to 30.