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Showing 25 course outlines from 9861 matches

776

BUSAN 200

: Business Analytics
2022 Semester One (1223)
An introduction to the science of fact based, data driven, decision making, exposure to different approaches, support tools, and analytical methods for decision making, particularly using spreadsheets, reinforcement of critical thinking skills and the ability to intelligently use information; and development and integration of modelling skills in a variety of decision-making-oriented applications.
Subject: Business Analytics
Prerequisite: ECON 221 or STATS 108, and 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 290
777

BUSAN 200

: Business Analytics
2021 Semester One (1213)
An introduction to the science of fact based, data driven, decision making, exposure to different approaches, support tools, and analytical methods for decision making, particularly using spreadsheets, reinforcement of critical thinking skills and the ability to intelligently use information; and development and integration of modelling skills in a variety of decision-making-oriented applications.
Subject: Business Analytics
Prerequisite: STATS 108 and 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 290
778

BUSAN 200

: Business Analytics
2020 Semester One (1203)
An introduction to the science of fact based, data driven, decision making, exposure to different approaches, support tools, and analytical methods for decision making, particularly using spreadsheets, reinforcement of critical thinking skills and the ability to intelligently use information; and development and integration of modelling skills in a variety of decision-making-oriented applications.
Subject: Business Analytics
Prerequisite: STATS 108 and 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 290
779

BUSAN 201

: Data Management
2025 Semester One (1253)
Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.
Subject: Business Analytics
Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 292
780

BUSAN 201

: Data Management
2024 Semester One (1243)
Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.
Subject: Business Analytics
Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 292
781

BUSAN 201

: Data Management
2023 Semester One (1233)
Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.
Subject: Business Analytics
Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 292
782

BUSAN 201

: Data Management
2022 Semester One (1223)
Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.
Subject: Business Analytics
Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 292
783

BUSAN 201

: Data Management
2021 Semester One (1213)
Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.
Subject: Business Analytics
Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 292
784

BUSAN 201

: Data Management
2020 Semester One (1203)
Rapid advancements in computing power and data storage capacity has changed how digital data is created, stored, consumed, and managed. As a result, business data exists in many formats and representations. Students will be equipped with contemporary data management tools and exploratory techniques to realise the value of data as a business asset.
Subject: Business Analytics
Prerequisite: 15 points from COMPSCI 101, 107, 130, INFOMGMT 192, INFOSYS 110
Restriction: INFOMGMT 292
785

BUSAN 300

: Data Wrangling and Big Data
2025 Semester One (1253)
Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 390
786

BUSAN 300

: Data Wrangling
2024 Semester One (1243)
Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 390
787

BUSAN 300

: Data Wrangling
2023 Semester One (1233)
Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 390
788

BUSAN 300

: Data Wrangling
2022 Semester One (1223)
Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 390
789

BUSAN 300

: Data Wrangling
2021 Semester One (1213)
Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 390
790

BUSAN 300

: Data Wrangling
2020 Semester One (1203)
Organisations are increasingly adopting big data analysis, predictive analytics, social data mining, and deep machine learning to gain business intelligence and insight. The value of such technologies relies on having high-quality data, yet raw data is messy and its transformation to add value is often neglected. Students will explore a data wrangling toolbox to add value to data.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 390
791

BUSAN 301

: Data Visualisation
2024 Semester One (1243)
Visual representations of data enable complex ideas to be communicated clearly and effectively. Covers how to better engage decision makers via data visualisation. Focusses on transforming data into visual digital narratives using modern visualisation tools.
Subject: Business Analytics
Prerequisite: 30 points from BUSAN 200, 201, ECON 221, INFOMGMT 290-296, INFOSYS 220-280, STATS 208, 255
Restriction: INFOMGMT 392
792

BUSAN 301

: Data Visualisation
2023 Semester One (1233)
Visual representations of data enable complex ideas to be communicated clearly and effectively. Covers how to better engage decision makers via data visualisation. Focusses on transforming data into visual digital narratives using modern visualisation tools.
Subject: Business Analytics
Prerequisite: 30 points from BUSAN 200, 201, ECON 221, INFOMGMT 290-296, INFOSYS 220-280, STATS 208, 255
Restriction: INFOMGMT 392
793

BUSAN 301

: Data Visualisation
2022 Semester One (1223)
Visual representations of data enable complex ideas to be communicated clearly and effectively. Covers how to better engage decision makers via data visualisation. Focusses on transforming data into visual digital narratives using modern visualisation tools.
Subject: Business Analytics
Prerequisite: 30 points from BUSAN 200, 201, INFOMGMT 290-296, INFOSYS 220-280, STATS 208, 255
Restriction: INFOMGMT 392
794

BUSAN 301

: Data Visualisation
2021 Semester One (1213)
Visual representations of data enable complex ideas to be communicated clearly and effectively. Covers how to better engage decision makers via data visualisation. Focusses on transforming data into visual digital narratives using modern visualisation tools.
Subject: Business Analytics
Prerequisite: 30 points at Stage II in Business Analytics, Information Management, Information Systems
Restriction: INFOMGMT 392
795

BUSAN 301

: Data Visualisation
2020 Semester One (1203)
Graphs, maps, charts, animations and tag clouds assist us to better understand data. Accountants, economists, management and marketing specialists all seek sophisticated visual representations to better communicate with their clients. This course takes a multi-media approach to acquiring and analysing data then transforming it into a usable form, using open-source coding and development tools.
Subject: Business Analytics
Prerequisite: 30 points at Stage II in Business Analytics, Information Management, Information Systems
Restriction: INFOMGMT 392
796

BUSAN 302

: Machine Learning
2025 Semester One (1253)
Provides essential skills required to obtain data-driven insights that augment business decisions across a variety of application areas. This involves the identification of the problem, and implementation of effective data visualisations and appropriate machine learning models using cloud-based data analytics tools. Key concepts around big data will also be introduced.
Subject: Business Analytics
Prerequisite: BUSAN 200 and 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 393, INFOSYS 330
797

BUSAN 302

: Big Data and Machine Learning
2024 Semester One (1243)
Provides essential skills to build data-driven digital innovations that augment business decisions. This involves identifying problems faced by different groups of individuals from different spheres of life, analysing the problem space and data needs, building a prototype for a selected design, and using machine learning tools and cloud-based big data analytics.
Subject: Business Analytics
Prerequisite: BUSAN 200 and 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 393, INFOSYS 330
798

BUSAN 302

: Big Data and Machine Learning
2021 Semester One (1213)
Provides essential skills to build data-driven digital innovations that augment business decisions. This involves identifying problems faced by different groups of individuals from different spheres of life, analysing the problem space and data needs, building a prototype for a selected design, and using machine learning tools and cloud-based big data analytics.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 393, INFOSYS 330
799

BUSAN 302

: Data Mining and Decision Support
2020 Semester One (1203)
Business modelling to solve challenging problems faced by identified stakeholders. Students will explore these challenges by decomposing unstructured complex problems, evaluating and prioritising alternatives, allocating scarce resources, and justifying and defending solutions provided.
Subject: Business Analytics
Prerequisite: 15 points from BUSAN 201, INFOMGMT 292, INFOSYS 222
Restriction: INFOMGMT 393, INFOSYS 330
800

BUSAN 303

: Special Topic
2020 Semester One (1203)
Subject: Business Analytics
No pre-requisites or restrictions