HUMR71-100: Research Methods and Data Visualisation

Description

The ability to find, read, interpret and learn from data has become critical in determining the future of all human endeavours. This subject introduces you to the principles and applications of research methodology, equipping you with lifelong skills to design, execute and present research of integrity in your current studies and future professions. You will explore research purposes, methods and tools for data selection, interpretation and analysis, and learn how to present findings and visualise data in ways that address the needs of diverse educational and industry contexts. 

Subject details

Type: Postgraduate Subject
Code: HUMR71-100
EFTSL: 0.125
Faculty: Faculty of Society and Design
Semesters offered:
  • January 2022 [Standard Offering - On Campus]
  • January 2022 [Standard Offering - Online]
  • May 2022 [Standard Offering - Standard]
  • May 2022 [Standard Offering - Online]
  • September 2022 [Standard Offering - On Campus]
  • September 2022 [Standard Offering - Online]
  • January 2023 [Standard Offering - On Campus]
  • January 2023 [Standard Offering - Online]
Credit: 10
Study areas:
  • Communication, Film, and Creative Media
  • International Relations, Politics, and Arts
  • Psychology, Criminology, and Social Sciences
  • Project Management and Innovation
Subject fees:
  • Commencing in 2021: $2,430.00
  • Commencing in 2022: $2,460.00
  • Commencing in 2023: $2,520.00
  • Commencing in 2021: $2,640.00
  • Commencing in 2022: $2,640.00
  • Commencing in 2023: $2,710.00

Learning objectives

1. Identify, synthesise, interpret and communicate complex issues in research methodology and data visualisation. 1. Identify, synthesise, interpret and communicate complex issues in research methodology and data visualisation. 1. Identify, synthesise, interpret and communicate complex issues in research methodology and data visualisation. 2. Independently and in teams, demonstrate expert cognitive skills to solve complex problems in research methodology and data visualisation. 2. Independently and in teams, demonstrate expert cognitive skills to solve complex problems in research methodology and data visualisation. 2. Independently and in teams, demonstrate expert cognitive skills to solve complex problems in research methodology and data visualisation. 3. Apply gained knowledge and skills in research methodology and data visualisation to new contexts, demonstrating expert judgement, adaptability and responsibility as a practitioner or learner. 3. Apply gained knowledge and skills in research methodology and data visualisation to new contexts, demonstrating expert judgement, adaptability and responsibility as a practitioner or learner. 3. Apply gained knowledge and skills in research methodology and data visualisation to new contexts, demonstrating expert judgement, adaptability and responsibility as a practitioner or learner.

Enrolment requirements

Requisites:

Nil
Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Restrictions:

Subject outlines

Subject dates

  • Standard Offering - On Campus
    Enrolment opens: 14/11/2021
    Semester start: 17/01/2022
    Subject start: 17/01/2022
    Cancellation 1: 31/01/2022
    Cancellation 2: 07/02/2022
    Last enrolment: 30/01/2022
    Withdraw - Financial: 12/02/2022
    Withdraw - Academic: 05/03/2022
    Teaching census: 11/02/2022
  • Standard Offering - Online
    Enrolment opens: 14/11/2021
    Semester start: 17/01/2022
    Subject start: 17/01/2022
    Cancellation 1: 31/01/2022
    Cancellation 2: 07/02/2022
    Last enrolment: 30/01/2022
    Withdraw - Financial: 12/02/2022
    Withdraw - Academic: 05/03/2022
    Teaching census: 11/02/2022
  • Standard Offering - Standard
    Enrolment opens: 20/03/2022
    Semester start: 16/05/2022
    Subject start: 16/05/2022
    Cancellation 1: 30/05/2022
    Cancellation 2: 06/06/2022
    Last enrolment: 29/05/2022
    Withdraw - Financial: 11/06/2022
    Withdraw - Academic: 02/07/2022
    Teaching census: 10/06/2022
  • Standard Offering - Online
    Enrolment opens: 20/03/2022
    Semester start: 16/05/2022
    Subject start: 16/05/2022
    Cancellation 1: 30/05/2022
    Cancellation 2: 06/06/2022
    Last enrolment: 29/05/2022
    Withdraw - Financial: 11/06/2022
    Withdraw - Academic: 02/07/2022
    Teaching census: 10/06/2022
  • Standard Offering - On Campus
    Enrolment opens: 17/07/2022
    Semester start: 12/09/2022
    Subject start: 12/09/2022
    Cancellation 1: 26/09/2022
    Cancellation 2: 03/10/2022
    Last enrolment: 25/09/2022
    Withdraw - Financial: 08/10/2022
    Withdraw - Academic: 29/10/2022
    Teaching census: 07/10/2022
  • Standard Offering - Online
    Enrolment opens: 17/07/2022
    Semester start: 12/09/2022
    Subject start: 12/09/2022
    Cancellation 1: 26/09/2022
    Cancellation 2: 03/10/2022
    Last enrolment: 25/09/2022
    Withdraw - Financial: 08/10/2022
    Withdraw - Academic: 29/10/2022
    Teaching census: 07/10/2022
  • Standard Offering - On Campus
    Enrolment opens: 13/11/2022
    Semester start: 16/01/2023
    Subject start: 16/01/2023
    Cancellation 1: 30/01/2023
    Cancellation 2: 06/02/2023
    Last enrolment: 29/01/2023
    Withdraw - Financial: 11/02/2023
    Withdraw - Academic: 04/03/2023
    Teaching census: 10/02/2023
  • Standard Offering - Online
    Enrolment opens: 13/11/2022
    Semester start: 16/01/2023
    Subject start: 16/01/2023
    Cancellation 1: 30/01/2023
    Cancellation 2: 06/02/2023
    Last enrolment: 29/01/2023
    Withdraw - Financial: 11/02/2023
    Withdraw - Academic: 04/03/2023
    Teaching census: 10/02/2023
Standard Offering - On Campus
Enrolment opens: 14/11/2021
Semester start: 17/01/2022
Subject start: 17/01/2022
Cancellation 1: 31/01/2022
Cancellation 2: 07/02/2022
Last enrolment: 30/01/2022
Withdraw - Financial: 12/02/2022
Withdraw - Academic: 05/03/2022
Teaching census: 11/02/2022