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BUSN11020 - Business Data and Ethics

General Information

Unit Synopsis

With today’s digitisation and technology development, many organisations can collect and consolidate tremendous amounts of data and store them in databases and data warehouses with ease. In this unit, you will use a variety of computational techniques and/or methods to evaluate and analyse “big” data in real time for trends, patterns, classification, relationship, and other useful information. You will learn how to examine data sets for statistical inference, and conduct quantitative analysis, predictive modelling, regression, data mining, and optimisation. In addition, this unit is designed to develop the critical thinking, problem solving and communication skills fundamental to business law. You will demonstrate your ability to analyse legal issues in a business context and apply your legal knowledge to make informed business decisions.

Details

Level Undergraduate
Unit Level 1
Credit Points 12
Student Contribution Band SCA Band 1
Fraction of Full-Time Student Load 0.25
Pre-requisites or Co-requisites

BUSN11019 Business Systems and Technology

Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).

Class Timetable View Unit Timetable
Residential School No Residential School

Unit Availabilities from Term 3 - 2023

Term 3 - 2023 Profile
Online
Term 2 - 2024 Profile
Online
Term 2 - 2025 Profile
Online

Attendance Requirements

All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).

Assessment Overview

Recommended Student Time Commitment

Each 12-credit Undergraduate unit at CQUniversity requires an overall time commitment of an average of 25 hours of study per week, making a total of 300 hours for the unit.

Assessment Tasks

Assessment Task Weighting
1. Portfolio 0%
2. Reflective Practice Assignment 50%
3. Online Test 50%

This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).

Consult the University's Grades and Results Policy for more details of interim results and final grades

Past Exams

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Unit learning Outcomes

On successful completion of this unit, you will be able to:

  1. Analyse and reflect on key concepts of business analytics
  2. Apply quantitative tools and techniques to analytically identify, examine, investigate and propose solutions to business problems
  3. Synthesise data from a variety of sources and develop models to address practical problems in industry
  4. Describe the fundamentals of business law that support the analysis of legal issues in a business context
  5. Communicate business advice/solutions and business risk management in legal issues commonly encountered within business situations
  6. Identify and explain different business structures and liability to business owners and other stakeholders
  7. Associate a variety of business systems and technology that are able to evaluate and analyse huge sources of data in real time for trends, patterns, classification, relationship, and other useful information.

Alignment of Assessment Tasks to Learning Outcomes
Assessment Tasks Learning Outcomes
1 2 3 4 5 6 7
1 - Portfolio • • • • •
2 - Reflective Practice Assignment • • • • •
3 - Online Test • • • •
Alignment of Graduate Attributes to Learning Outcomes
• Introductory Level
• Intermediate Level
• Graduate Level
Graduate Attributes Learning Outcomes
1 2 3 4 5 6 7
1 - Communication • • • • •
2 - Problem Solving • • • •
3 - Critical Thinking • •
4 - Information Literacy • •
6 - Information Technology Competence • • •
8 - Ethical practice • • •
9 - Social Innovation • •
10 - Aboriginal and Torres Strait Islander Cultures •
Alignment of Assessment Tasks to Graduate Attributes
• Introductory Level
• Intermediate Level
• Graduate Level
Assessment Tasks Graduate Attributes
1 2 3 4 5 6 7 8 9 10