DSC764: Operations Analytics / College of Computing, Informatics and Mathematics

This course is designed to impact the way of thinking about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. This course focuses on how the data can be used to profita...

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Main Author: UiTM, College of Computing, Informatics and Mathematics
Format: Teaching Resource
Language:English
Published: Universiti Teknologi MARA (UiTM) 2017
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Online Access:https://ir.uitm.edu.my/id/eprint/92460/1/92460.pdf
https://ir.uitm.edu.my/id/eprint/92460/
https://aims.uitm.edu.my/
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spelling my.uitm.ir.924602024-03-13T05:08:30Z https://ir.uitm.edu.my/id/eprint/92460/ DSC764: Operations Analytics / College of Computing, Informatics and Mathematics UiTM, College of Computing, Informatics and Mathematics Curriculum Universiti Teknologi MARA This course is designed to impact the way of thinking about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. This course focuses on how the data can be used to profitably match supply with demand in various business settings. The students will be taught on how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. In addition, this course will utilize the latest operations analytics tools to drive a good operational outcomes and deliver results that are both definitive and measurable. Universiti Teknologi MARA (UiTM) 2017 Teaching Resource NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/92460/1/92460.pdf DSC764: Operations Analytics / College of Computing, Informatics and Mathematics. (2017) [Teaching Resource] (Unpublished) https://aims.uitm.edu.my/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
DSC764: Operations Analytics / College of Computing, Informatics and Mathematics
description This course is designed to impact the way of thinking about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. This course focuses on how the data can be used to profitably match supply with demand in various business settings. The students will be taught on how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. In addition, this course will utilize the latest operations analytics tools to drive a good operational outcomes and deliver results that are both definitive and measurable.
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 DSC764: Operations Analytics / College of Computing, Informatics and Mathematics
title_short DSC764: Operations Analytics / College of Computing, Informatics and Mathematics
title_full DSC764: Operations Analytics / College of Computing, Informatics and Mathematics
title_fullStr DSC764: Operations Analytics / College of Computing, Informatics and Mathematics
title_full_unstemmed DSC764: Operations Analytics / College of Computing, Informatics and Mathematics
title_sort dsc764: operations analytics / college of computing, informatics and mathematics
publisher Universiti Teknologi MARA (UiTM)
publishDate 2017
url https://ir.uitm.edu.my/id/eprint/92460/1/92460.pdf
https://ir.uitm.edu.my/id/eprint/92460/
https://aims.uitm.edu.my/
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score 13.160551