INFO634-18S2 (C) Semester Two 2018

Special Topic

15 points
16 Jul 2018 - 18 Nov 2018

Description

Special Topic

INFO634 - SPECIAL TOPIC - DATA ANALYTICS & BUSINESS INTELLIGENCE

This course aims to help students develop an understanding of data science/analytics, and provide an opportunity to gain experience with diverse methods and technologies related to common aspects of data science/analytics. Key concepts, analytical techniques and tools applicable to different aspects of data science/analytics and business decision making (i.e. business intelligence (BI)) are introduced.

Students completing this course have an opportunity to develop foundational skills in the use of common data science/analytics tools, including data handling, data visualisation, regression, neural networks, decision trees, time series analysis, and exploratory data analysis, and apply these to decision-making in organisations.

Learning Outcomes

At the end of this course, students will be able to:
1. Demonstrate an understanding of key data science/analytics concepts, tools and techniques
2. To recognise and analyse business problems and opportunities related to the role and use of data science/ analytics in organisations
3.  To select and apply suitable techniques (e.g. forecasting, data mining), extract meaningful insights from various data, and make recommendations that align with the organisations’ context/objectives and business decisions.
4. Produce appropriate information models and reports for use in business decision-making using Data Science/ Analytics software/visualisation tools
5. Work as a team to perform key activities related to the analysis of data and business decisions and provision of meaningful insights (BI) and evidence-based recommendations.

Pre-requisites

Subject to approval of the Head of Department

Timetable 2018

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01-P1 Wednesday 13:00 - 15:00 Ernest Rutherford 464 Computer Lab 10 Sep - 7 Oct
01-P2 Wednesday 13:00 - 16:00 Ernest Rutherford 464 Computer Lab 16 Jul - 26 Aug
Drop in Class A
Activity Day Time Location Weeks
01 Thursday 13:00 - 16:00 Ernest Rutherford 464 Computer Lab 30 Jul - 19 Aug
Drop in Class B
Activity Day Time Location Weeks
01 Friday 11:00 - 14:00 Ernest Rutherford 464 Computer Lab 30 Jul - 19 Aug
Drop in Class C
Activity Day Time Location Weeks
01 Friday 10:00 - 12:00 Ernest Rutherford 464 Computer Lab 1 Oct - 7 Oct

Examination and Formal Tests

Test A
Activity Day Time Location Weeks
01 Wednesday 14:30 - 16:00 Ernest Rutherford 464 Computer Lab 8 Oct - 14 Oct
02 Wednesday 13:00 - 14:30 Ernest Rutherford 464 Computer Lab 8 Oct - 14 Oct

Course Coordinator

Annette Mills

Indicative Fees

Domestic fee $956.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

Minimum enrolments

This course will not be offered if fewer than 5 people apply to enrol.

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

All INFO634 Occurrences

  • INFO634-18S2 (C) Semester Two 2018