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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.