MBIS623-20S1 (C) Semester One 2020

Data Management

15 points

Details:
Start Date: Monday, 17 February 2020
End Date: Sunday, 21 June 2020
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 28 February 2020
  • Without academic penalty (including no fee refund): Friday, 29 May 2020

Description

This course introduces students to a range of topics that underpin the successful use and management of databases in contemporary organisations. The course exposes the students to associated real life issues related to data management and database management systems.

Learning Outcomes

The course is designed to prepare the students for operating in the modern data management organisational environment. Upon successful completion of MBIS623 the students will be able to:

1.  Demonstrate knowledge of the goals, principles and functions of data management.
2.  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.
6.  Evaluate data management processes and practices in contemporary organisations.


MBIS623 introduces a range of topics that underpin the successful use and management of information in contemporary organisations. MBIS623 focuses on data governance, data modelling, database design, data administration, and data warehousing. In its wider scope the course is designed to expose the MBIS students to real-life issues related to data management and database management systems. The course aims to emphasise the value of adhering to best practices in data management in contemporary business context. 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 MBIS623 course is intended to provide a foundation for the Data Analytics and Business Intelligence course (MBIS624).

The topics included in MBIS623 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.

Prerequisites

Subject to approval of the Head of Department

Timetable Note

(a) Lectures

There will be three contact hours per week for MBIS623, running in two streams: Mondays, 1:00 – 4:00 p.m., and Wednesdays, 12 noon – 3 p.m. Lectures will be used to illuminate the material presented in readings, discuss new concepts and skills, and to present materials not covered in the readings.

(b) Tutorials and Labs

Tutorials and labs will be held as part of weekly contact hours. Tutorials and labs will be used to develop practical skills and competencies with the methods and tools introduced in the lectures. The success of the tutorials will depend on adequate preparation by students and active participation during class.

Course Coordinator

Constantine Zakkaroff

Course Coordinator

Dr Constantine Zakkaroff
Room 516, Business & Law Building (Meremere)
Phone: +64 (0)3 369 3879, ext. 93879
Email: Constantine.zakkaroff@canterbury.ac.nz

Tutor

Hank Tsai
Email: sft28@uclive.ac.nz

Assessment

Database design assignment  --  30%

Data management case study report  --  30%

Final exam  --  40%

Textbooks / Resources

(a) Course Materials

The MBIS623 UC Learn site (http://learn.canterbury.ac.nz) will be used to deliver lecture and tutorial material in electronic format. Students will have the opportunity to discuss course-related issues with the lecturer and other students using the message board. It is advisable that students become familiar with UC Learn as soon as possible and log on to it regularly.

(b) Required Texts

The following text will be used as the primary source of reading materials throughout the course:

Hoffer, J., Venkataraman, R., & Topi, H. (2015). Modern Database Management: Global Edition (12th ed.). Pearson.

This text is stocked at the University of Canterbury Book Shop.

(c) Recommended Texts

In addition, a number of readings for this course will be selected from the following texts:

Gordon, K. (2007). Principles of data management: Facilitating information sharing (2nd ed.). BCS Learning & Development Limited.

DAMA International. (2017). DAMA-DMBOK: Data Management Body of Knowledge. Technics Publications.

The texts listed above are available in the UC Library. Selected chapters from the texts will be made available on the MBIS623 UC Learn page along with other additional materials related to the course content. However, you may wish to obtain a copy of the listed texts for the duration of this course.

Course links

LEARN

Indicative Fees

Domestic fee $1,218.00

* 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.

Minimum enrolments

This course will not be offered if fewer than 10 people apply to enrol.

For further information see Department of Accounting and Information Systems .

All MBIS623 Occurrences

  • MBIS623-20S1 (C) Semester One 2020
  • MBIS623-20T2 (C) Term Two 2020 - Not Offered