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CP2405 - Collective Intelligence and Entrepreneurship

Credit points: 3
Year: 2020
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

  • practicals (30%)
  • assignment 1 (25%)
  • assignment 2 (30%)
  • presentation (15%).
Prerequisites: MINIMUM OF 24 CREDIT POINTS
Inadmissible
Subject
Combinations:
CP5635

Availabilities

Townsville, Internal, Study Period 2
Census Date 27-Aug-2020
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

External, Study Period 2
Census Date 27-Aug-2020
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

Cairns, Internal, Study Period 2
Census Date 27-Aug-2020
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

JCU Singapore, Internal, Study Period 51
Census Date 09-Apr-2020
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

JCU Brisbane, Internal, Study Period 21
Census Date 09-Apr-2020
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

JCU Brisbane, Internal, Study Period 22
Census Date 06-Aug-2020
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

JCU Brisbane, Internal, Study Period 23
Census Date 03-Dec-2020
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

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.