An Undergraduate Curriculum for Deep Learning
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Date
2018
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Ieee
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Abstract
Deep Learning (DL) is an interesting and rapidly developing field of research which has been currently utilized as a part of industry and in many disciplines to address a wide range of problems, from image classification, computer vision, video games, bioinformatics, and handwriting recognition to machine translation. The starting point of this study is the recognition of a big gap between the sector need of specialists in DL technology and the lack of sufficient education provided by the universities. Higher education institutions are the best environment to provide this expertise to the students. However, currently most universities do not provide specifically designed DL courses to their students. Thus, the main objective of this study is to design a novel curriculum including two courses to facilitate teaching and learning of DL topic. The proposed curriculum will enable students to solve real-world problems by applying DL approaches and gain necessary background to adapt their knowledge to more advanced, industry-specific fields.
Description
Turkmen, Guzin/0000-0003-0884-4876; Ekin, Cansu Cigdem/0000-0003-4838-9708; Bostan, Atila/0000-0002-8540-7605
Keywords
Deep Learning, curriculum design, Machine Learning, Deep Neural Networks, Engineering Education
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1
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Source
3rd International Conference on Computer Science and Engineering (UBMK) -- SEP 20-23, 2018 -- Sarajevo, BOSNIA & HERCEG
Volume
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Start Page
604
End Page
609