INFO261-22S2 (C) Semester Two 2022

Introduction to Business Analytics

15 points

Details:
Start Date: Monday, 18 July 2022
End Date: Sunday, 13 November 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 31 July 2022
  • Without academic penalty (including no fee refund): Sunday, 2 October 2022

Description

The aim of this course is to help students develop an understanding of business analytics, and provide an opportunity to gain experience with diverse methods and technologies related to common aspects of analytics. Key concepts, analytical techniques and tools applicable to different aspects of data analytics and data-driven decision-making are introduced. Students completing this course have an opportunity to develop fundamental skills in the use of common business analytics tools including data visualization/visual analytics, regression, cluster 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:
  • Demonstrate an understanding of key business data analytics concepts, tools and techniques
  • To recognise and demonstrate an understanding of issues related to the use of business data for
    decision-making including data ownership, and cultural and ethical considerations.
  • To recognise and analyse organisational problems and opportunities related to the role and use of
    data analytics in organisations
  • To select and apply suitable techniques (e.g. regression, forecasting, cluster analysis, visualisation),
    extract meaningful insights from various data, and make recommendations that align with the
    organisations’ context and objectives.
  • Work as a team to perform key activities related to the analysis of organisational data and provide
    and communicate evidence-based recommendations to an audience.
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Critically competent in a core academic discipline of their award

      Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

      Employable, innovative and enterprising

      Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Prerequisites

(1) 15 points from STAT101, DATA101, DIGI103; and (2) 15 points from INFO123, INFO125, COSC101, COSC121, COSC122, COSC131, DIGI101

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 14:00 - 16:00 F3 Lecture Theatre
18 Jul - 28 Aug
12 Sep - 23 Oct
Computer Lab A
Activity Day Time Location Weeks
01 Friday 14:00 - 15:00 Ernest Rutherford 464 Computer Lab
18 Jul - 28 Aug
12 Sep - 23 Oct

Course Coordinator

Pan Zheng

Lecturer

Thilini Bhagya

Assessment

Assessment Due Date Percentage 
Lab Assignments 10%
Group Project 25%
Term Test 30%
Exam 35%

Indicative Fees

Domestic fee $875.00

International fee $4,563.00

* 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 departments and faculties page .

All INFO261 Occurrences

  • INFO261-22S2 (C) Semester Two 2022