CP5635 - Collective Intelligence and Entrepreneurship
Credit points: |
3 |
Year: |
2021 |
Student Contribution Band: |
Band
2
|
Administered by: |
College of Science and Engineering |
In this subject students analyse the social and business impact and applications collective
intelligence has in a rapidly changing digital world. Students will explore the start-up
lifecycle and related Web2.0/3.0 technologies with particular focus on entrepreneurship,
e-marketing and human resource management. Technologies and new business models such
as crowd sourcing, harnessing the crowd, linked data, etc., will be examined to evaluate
how creative problem solvers can take advantage of a global collective intelligence
through enhanced information sharing and online collaboration. Students gain skills
and experience using emerging crowd platforms to pitch ideas, increase profit, manage
well-being, enable business processes and functions and explore new business models
Learning Outcomes
- examine collective intelligence and social network technologies and applications;
- analyse business opportunities and challenges of collective intelligence and entrepreneurship;
- examine legal, ethical and social issues related to collective intelligence;
- develop and align appropriate collective intelligence technologies with entrepreneurship
activities.
Subject Assessment
- Oral > Presentation 1 - (15%) - Group
- Written > Project report - (30%) - Group
- Assignment 1 - (25%) - Individual
- Performance/Practice/Product > Practical assessment/practical skills demonstration - (30%) - Individual.
Inadmissible Subject Combinations:
|
CP2405 |
Availabilities
|
Townsville,
Internal,
Study Period 2
|
Census Date 26-Aug-2021 |
Coordinator: |
Dr Kyungmi Joanne Lee |
Lecturer:
|
Dr Iti Chaturvedi. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures (didactic or interactive)
- 24 hours practicals
- 6 hours workshops
- assessment and self-directed study
|
|
|
External,
Study Period 2
|
Census Date 26-Aug-2021 |
Coordinator: |
Dr Kyungmi Joanne Lee |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 6 hours online workshops
- 50 hours online content - Combined lectures; tutorials/workshops/practicals; lecturer-directed activities
- assessment and self-directed study
|
Method of Delivery: |
WWW - LearnJCU |
|
|
Cairns,
Internal,
Study Period 2
|
Census Date 26-Aug-2021 |
Coordinator: |
Dr Kyungmi Joanne Lee |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures (didactic or interactive)
- 24 hours practicals
- 6 hours workshops
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.