Course Package in Intelligent Systems, 30 credits
Machine learning and deep learning systems are becoming increasingly important in the development of both society and industry. These technologies are important parts of data-driven development that is integrated into cloud solutions but is becoming more and more an important part of measurement systems and embedded systems.
The course package provides a semester in intelligent systems focused on embedded systems, but the knowledge can also be used in several other areas. You will learn machine learning for embedded systems, deep learning for image analysis and time series. Finally, you will conduct a project, which will deepen your understanding of this domain, and provide you with a foundation in conducting and communicating research.
The course package consists of the following courses: Machine Learning on Embedded Systems, 7.5 credits, Deep Learning, 7.5 credits, Specialization Project within Intelligent Systems, 9 credits, and Scientific Writing and Research Methods, 6 credits.
The course package provides a semester in intelligent systems focused on embedded systems, but the knowledge can also be used in several other areas. You will learn machine learning for embedded systems, deep learning for image analysis and time series. Finally, you will conduct a project, which will deepen your understanding of this domain, and provide you with a foundation in conducting and communicating research.
The course package consists of the following courses: Machine Learning on Embedded Systems, 7.5 credits, Deep Learning, 7.5 credits, Specialization Project within Intelligent Systems, 9 credits, and Scientific Writing and Research Methods, 6 credits.
Entry requirements
Electrical Engineering BA or Computer Engineering BA, 45 credits, including microcontroller programming and an introductory course in machine learning.
Syllabuses
Electrical Engineering MA, Machine Learning on Embedded Systems, 7.5 creditsElectrical Engineering MA, Deep Learning, 7.5 credits
Electrical Engineering MA, Specialization Project within Intelligent Systems, 9 credits
Electrical Engineering MA, Scientific Writing and Research Methods, 6 credits
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