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CP5635 - Collective Intelligence and Entrepreneurship
Credit points: |
3 |
Year: |
2023 |
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
- 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;
- explain and evaluate the fundamental theories and requirements that influence the
collective intelligence and social network technologies and applications;
- explain and critically evaluate contemporary issues related to collective intelligence
technologies.
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
|
Cairns,
Trimester 2,
Internal
|
Census Date 22-Jun-2023 |
Coord/Lect: |
Dr Iti Chaturvedi. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 6 hours workshops
- 20 hours seminars
- 10 hours online activity
- 20 hours specialised
- assessment and self-directed study
|
|
|
Townsville,
Trimester 2,
Internal
|
Census Date 22-Jun-2023 |
Coord/Lect: |
Dr Iti Chaturvedi. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 6 hours workshops
- 20 hours seminars
- 10 hours online activity
- 20 hours specialised
- assessment and self-directed study
|
|
|
Trimester 2,
External
|
Census Date 22-Jun-2023 |
Coord/Lect: |
Dr Iti Chaturvedi. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 46 hours online activity
- 10 hours online Seminars
- assessment and self-directed study
|
Method of Delivery: |
WWW - LearnJCU |
|
|
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.