INFO260-21S1 (C) Semester One 2021

Data Management

This occurrence is not offered in 2021

15 points

Details:
Start Date: Monday, 22 February 2021
End Date: Sunday, 27 June 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 7 March 2021
  • Without academic penalty (including no fee refund): Friday, 14 May 2021

Description

The course introduces a range of topics that underpin data management in contemporary organisations. The first part of the course focuses on data architecture, data modelling, data administration, and data warehousing. The second part of the course introduces the concepts of Big Data. In its wider scope the course is designed to expose the students to real-life issues in data management and database management systems in the modern environment.

INFO260 IS NOT OFFERED IN 2021

The course is packed with skills required by employers in all sectors dealing with data in the modern job market. Data management and analytics support the growth and innovation in a vast majority of private and government organisations, dealing with research and development, accounting and finance, management, marketing, health sciences, and many other data-intensive sectors. The first part of the course focuses on data architecture, data modelling, data administration, and data warehousing. The second part of the course introduces the concepts of Big Data. In its wider scope the course is designed to expose the students to real-life issues in data management and database management systems in the modern environment.

Learning Outcomes

1.            Course Objectives and Learning Outcomes
INFO260 introduces a range of topics that underpin the successful use and management of information in contemporary organisations. INFO260 focuses on data governance, data modelling, database design, data administration, and data warehousing. In its wider scope the course is designed to expose the students to real-life issues related to data management and database management systems. The INFO260 course is intended to provide a foundation for INFO361 (Business Intelligence Systems for Organisations).

The course will introduce the concepts of Big Data which drive many modern decision making processes. Big Data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to processing large amounts of data with a view to identify more efficient ways of doing business. The course aims to emphasise the value of adhering to best practices in data management in contemporary business contexts.

The course places equal emphasis on content and practical skills covering the following areas:
1.            Data management goals, principles and functions,
2.            Data governance and data architecture management for large organisations,
3.            Model-driven data management and administration in organisational environment,
4.            Best practices in data management in contemporary business context,
5.            Core prerequisite components of business intelligence such as the extract-transform-load cycle, data integration, and data warehousing.

The topics included in INFO260 are a part of the Australian Computer Society (ACS) and Institute of IT Professionals New Zealand (IIT PNZ) Core Body of Knowledge and the Model Curriculum and Guidelines for Information Systems at both the graduate and undergraduate levels. The material of the course draws on the Data Management Essentials certificate material developed by the British Computing Society (BCS) Chartered Institute of IT, as well as the material included in the Data Management International (DAMA) body of knowledge.

2.            Learning Outcomes
The course is designed to prepare the students for operating in the modern data management organisational environment. Upon successful completion of INFO260 the students will be able to:
1.            Demonstrate knowledge of the goals, principles and functions of data management in the modern business environment.
2.            Explain the difference between various levels of data models and design a data model using a standard industrial data modelling tool/notation.
3.            Implement a database using a standard industrial data management tool.
4.            Demonstrate the understanding and skills required for data administration and repository administration.
5.            Analyse the roles that information systems professionals perform in data management in contemporary Aotearoa New Zealand context (BICC kaupapa 3).
6.            Evaluate data management processes and practices in the global modern context in reference to the process of colonisation and globalisation (BICC kaupapa 5).

Pre-requisites

(1) INFO123 or
INFO125 or
COSC101 or
COSC121 or
COSC122 or
DIGI101; and (2) An additional 15 points

Course Coordinator / Lecturer

Constantine Zakkaroff

Indicative Fees

Domestic fee $877.00

International fee $4,438.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Department of Accounting and Information Systems on the department and colleges page .

All INFO260 Occurrences

  • INFO260-21S1 (C) Semester One 2021 - Not Offered