MGMT29006 - E-commerce Technologies

General Information

Unit Synopsis

This advanced unit provides you with an examination of current and emerging technologies used in electronic commerce and consideration of those likely to play a major role in the future. Topics include (but are not limited to) Internet and e-commerce infrastructure, e-commerce presence and development life cycle, web design and implementation, mobile technology, internet and e-commerce security, electronic payment systems, blockchain and cryptocurrencies, artificial intelligence and machine learning, smart city and the internet of things, and other e-commerce technology trends. This will develop your ability to understand the technical and managerial challenges you will face as electronic commerce becomes a new locus of economics activities.

Details

Level Postgraduate
Unit Level 9
Credit Points 6
Student Contribution Band SCA Band 4
Fraction of Full-Time Student Load 0.125
Pre-requisites or Co-requisites There are no pre-requisites for the unit.

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 1 - 2025

Term 1 - 2025 Profile
Jakarta
Term 2 - 2025 Profile
Jakarta

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 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.

Assessment Tasks

This information will not be available until 8 weeks before term.
To see assessment details from an earlier availability, please search via a previous term.

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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Previous Feedback

Term 1 - 2024 : The overall satisfaction for students in the last offering of this course was 100.00% (`Agree` and `Strongly Agree` responses), based on a 60% response rate.

Feedback, Recommendations and Responses

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Source: CL84 course team.
Feedback
This is a unit that requires updated content on contemporary topics like artificial intelligence.
Recommendation
To maintain the relevance of this unit to students, the unit will continue to incorporate contemporary topics as an important part of the delivery.
Action Taken
While updates to units happen every term, the specific content of AI has been included in the unit in 2024.
Source: Self-evaluation
Feedback
Inclusion of peer-reviewed journal articles as reading materials.
Recommendation
The unit should have more peer-reviewed journal articles in its e-reading list.
Action Taken
In Progress
Unit learning Outcomes
This information will not be available until 8 weeks before term.
To see Learning Outcomes from an earlier availability, please search via a previous term.