DSC722: Research Methodology / College of Computing, Informatics and Mathematics

Data Science is a multidisciplinary field involving database technology, computer science, mathematics, statistics, operations research, and information science for knowledge discovery in large databases. This course aims to provide the necessary scientific knowledge for researching the field of dat...

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Main Author: UiTM, College of Computing, Informatics and Mathematics
Format: Teaching Resource
Language:English
Published: Universiti Teknologi MARA (UiTM) 2020
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Online Access:https://ir.uitm.edu.my/id/eprint/92448/1/92448.pdf
https://ir.uitm.edu.my/id/eprint/92448/
https://aims.uitm.edu.my/
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spelling my.uitm.ir.924482024-03-13T02:55:12Z https://ir.uitm.edu.my/id/eprint/92448/ DSC722: Research Methodology / College of Computing, Informatics and Mathematics UiTM, College of Computing, Informatics and Mathematics Curriculum Universiti Teknologi MARA Data Science is a multidisciplinary field involving database technology, computer science, mathematics, statistics, operations research, and information science for knowledge discovery in large databases. This course aims to provide the necessary scientific knowledge for researching the field of data science. The syllabus is designed to facilitate students to manage their research projects successfully. The topics of specific areas and trends in data. The areas include business intelligence, machine learning algorithms, big data analytics, and optimization and decision support systems. Students will learn innovative ways of harnessing data to transform knowledge and optimize processes in the 21st century. Universiti Teknologi MARA (UiTM) 2020 Teaching Resource NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/92448/1/92448.pdf DSC722: Research Methodology / College of Computing, Informatics and Mathematics. (2020) [Teaching Resource] (Unpublished) https://aims.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Curriculum
Universiti Teknologi MARA
spellingShingle Curriculum
Universiti Teknologi MARA
UiTM, College of Computing, Informatics and Mathematics
DSC722: Research Methodology / College of Computing, Informatics and Mathematics
description Data Science is a multidisciplinary field involving database technology, computer science, mathematics, statistics, operations research, and information science for knowledge discovery in large databases. This course aims to provide the necessary scientific knowledge for researching the field of data science. The syllabus is designed to facilitate students to manage their research projects successfully. The topics of specific areas and trends in data. The areas include business intelligence, machine learning algorithms, big data analytics, and optimization and decision support systems. Students will learn innovative ways of harnessing data to transform knowledge and optimize processes in the 21st century.
format Teaching Resource
author UiTM, College of Computing, Informatics and Mathematics
author_facet UiTM, College of Computing, Informatics and Mathematics
author_sort UiTM, College of Computing, Informatics and Mathematics
title DSC722: Research Methodology / College of Computing, Informatics and Mathematics
title_short DSC722: Research Methodology / College of Computing, Informatics and Mathematics
title_full DSC722: Research Methodology / College of Computing, Informatics and Mathematics
title_fullStr DSC722: Research Methodology / College of Computing, Informatics and Mathematics
title_full_unstemmed DSC722: Research Methodology / College of Computing, Informatics and Mathematics
title_sort dsc722: research methodology / college of computing, informatics and mathematics
publisher Universiti Teknologi MARA (UiTM)
publishDate 2020
url https://ir.uitm.edu.my/id/eprint/92448/1/92448.pdf
https://ir.uitm.edu.my/id/eprint/92448/
https://aims.uitm.edu.my/
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score 13.160551