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CP2405 - Collective Intelligence and Entrepreneurship
Credit points: |
3 |
Year: |
2019 |
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.
Prerequisites: |
MINIMUM OF 24 CREDIT POINTS |
Inadmissible Subject Combinations:
|
CP5635 |
Availabilities
|
Cairns,
Study Period 2,
Internal
|
Census Date 29-Aug-2019 |
Coordinator: |
Dr Randy Zhu |
Lecturers:
|
Assoc. Professor Trina Myers, Dr Kyungmi Joanne Lee. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 50 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
Assessment: |
practicals (30%); assignment 1 (25%); assignment 2 (30%); presentation (15%). |
|
|
JCU Singapore,
Study Period 51,
Internal
|
Census Date 11-Apr-2019 |
Coordinator: |
Dr Randy Zhu |
Lecturer:
|
Mr Michael Hansen. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 50 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
Assessment: |
practicals (30%); assignment 1 (25%); assignment 2 (30%); presentation (15%). |
|
|
Townsville,
Study Period 2,
Internal
|
Census Date 29-Aug-2019 |
Coordinator: |
Dr Randy Zhu |
Lecturers:
|
<Person not found>, Assoc. Professor Trina Myers, Dr Randy Zhu. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 50 hours - Combined Lectures; Practicals; Lecturer directed activities.
- assessment and self-directed study
|
Assessment: |
practicals (30%); assignment 1 (25%); assignment 2 (30%); presentation (15%). |
|
|
Study Period 2,
External
|
Census Date 29-Aug-2019 |
Coordinator: |
Dr Randy Zhu |
Lecturers:
|
<Person not found>, Assoc. Professor Trina Myers. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 0 hours
- assessment and self-directed study
|
Method of Delivery: |
WWW - LearnJCU |
Assessment: |
practicals (30%); assignment 1 (25%); assignment 2 (30%); presentation (15%). |
|
|
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.