Course Outline

SCI110 Science Research Methods

Course Coordinator:Peter Dunn (pdunn2@usc.edu.au) School:School of Science, Technology and Engineering

2026Trimester 2

UniSC Sunshine Coast

UniSC Moreton Bay

UniSC Fraser Coast

Blended learning Most of your course is on campus but you may be able to do some components of this course online.

Online

Online You can do this course without coming onto campus, unless your program has specified a mandatory onsite requirement.

Please go to unisc.edu.au for up to date information on the
teaching sessions and campuses where this course is usually offered.

What is this course about?

Description

The course introduces you to the essential components of scientific research design and statistical methods that can be used to summarise, analyse and interpret scientific data. Practical examples across all of the scientific disciplines are used in learning materials and tutorials.

How will this course be delivered?

Activity Hours Beginning Week Frequency
Blended learning
Learning materials – Readings from textbook, watching screencast recordings, and completing associated activities 2hrs Week 1 12 times
Tutorial/Workshop 1 – On-campus tutorial 2hrs Week 1 12 times
Seminar – Course introduction and overview; opportunity for students to ask any questions about the course organisation, materials, etc. 1hr Orientation week Once Only
Online
Learning materials – Readings from textbook, watching screencast recordings, and completing associated activities 2hrs Week 1 12 times
Tutorial/Workshop 1 – Online Zoom tutorial 2hrs Week 1 12 times
Seminar – Course introduction and overview; opportunity for students to ask any questions about the course organisation, materials, etc. 1hr Orientation week Once Only

Course Topics

  • Quantitative research questions: Population, Outcome, Comparison/Connection, Intervention.
  • Design features of quantitative observational and experimental studies:
    • External validity: random and non-random sampling;
    • Internal validty, including Hawthorne effect, observer effect, units of observation and units of analysis, etc.
  • Data collection, including the use of protocols.
  • Data descriptions: Nominal and ordinal qualitative data; discrete and continuous data.
  • Graphical analyses, including bar charts, pie charts, histograms, stem-and-leaf plots, dot plots, side-by-side bar charts, stacked bar charts, boxplots, error bar charts and scatterplots.
  • Numerical analyses, including medians, means, standard deviations, IQRs, percentages, odds, odds ratios, correlations, simple linear relationships.
  • Statistical analyses:
    • Confidence intervals: for one mean, one proportion, a mean difference, a difference between means, the odds ratio, regression parameters;
    • Hypothesis tests: one-sample t-tests, one sample proportion test, paired sample t-tests, two sample t-test, chi-squared tests of independence, correlation, t-tests for regression parameters.
  • Normal distributions, the 68-95-99.7 rule, and z-scores.
  • Basic probability and independence.
  • The language of research and statistics.
  • Ethics in planning, interpreting and reporting the results of quantitative studies, including academic integrity and ecological validity .
  • Reading and writing research.

What level is this course?

100 Level (Introductory)

Engaging with discipline knowledge and skills at foundational level, broad application of knowledge and skills in familiar contexts and with support. Limited or no prerequisites. Normally, associated with the first full-time study year of an undergraduate program.

What is the unit value of this course?

12 units

How does this course contribute to my learning?

Course Learning Outcomes On successful completion of this course, you should be able to... Graduate Qualities Completing these tasks successfully will contribute to you becoming...
1 Develop quantitative research questions and testable hypotheses. Empowered
2 Design quantitative studies to answer simple scientific research questions. Empowered
3 Select and produce the appropriate graphical, numerical and statistical analyses. Knowledgeable
4 Select, apply and interpret the results of the appropriate statistical technique to analyse scientific data. Empowered
5 Comprehend, apply, and communicate in the language of research and statistics. Knowledgeable
Empowered
6 Demonstrate professional integrity in planning, interpreting and reporting the results of quantitative studies. Ethical

Am I eligible to enrol in this course?

Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.

Pre-requisites

Not applicable

Co-requisites

Not applicable

Anti-requisites

SCI201 or CPH261

Specific assumed prior knowledge and skills (where applicable)

Basic mathematical skills are assumed.

Microcredential Information

Not applicable

How am I going to be assessed?

Grading Scale

Standard Grading (GRD)

High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL).

Details of early feedback on progress

Early feedback is provided through Revision Quiz 1.

Assessment tasks

Delivery mode Task No. Assessment Product Individual or Group Weighting % What is the duration / length? When should I submit? Where should I submit it?
All 1 Quiz/zes Individual 20%
N/A
Refer to Format Online Submission
All 2a Plan Group 20%
Completed Pro Forma based around approved research question
Week 5 Online Assignment Submission with plagiarism check
All 2b Report Group 20%
Recommended max. of 26 slides (plus required software output)
Week 11 Online Assignment Submission with plagiarism check
All 3 Examination - Centrally Scheduled Individual 40%
Two hours
Exam Period Online Test (Quiz)
All - Assessment Task 1:Revision Quizzes
Goal:
To enable you to practice the skills and revise the content studied each week in directed study activities.
Product: Quiz/zes
Authorship Statement:
Format:
Submit online on indicated days throughout the teaching period.

Four quizzes across the teaching period: Teaching Weeks 3, 6, 9, 12.

Complete the quizzes in your own time. 

Each quiz is worth 5%.
Criteria:
No. Learning Outcome assessed
1
Design appropriate scientific studies to answer simple scientific research questions.
1
2
Select and apply the correct statistical technique to analyse scientific data
2
3
Select, apply and interpret the results of the appropriate statistical technique to analyse scientific data
3
4
Comprehend, apply, and communicate in the language of research and statistics (including using graphical and numerical information)
4
5
Demonstrate professional integrity in planning, interpreting and reporting the results of scientific studies
5
Generic Skills:
Communication, Problem solving, Information literacy
All - Assessment Task 2a:Project
Goal:
To enable you to engage with the planning stages of the scientific research process, include planning and design
Product: Plan
Authorship Statement:
Format:
Completed Pro Forma (based around approved research question) articulating your project plan and design. 

Further details will be available on Canvas. 

This Task should be completed in your own time. Your group members should, as far as possible, belong to the same tutorial.
Criteria:
No. Learning Outcome assessed
1
Ability to develop research questions
1
2
Ability to design scientific studies to answer simple scientific research questions.
2
3
Select and produce the appropriate graphical, numerical and statistical analyses
3
4
Comprehend, apply, and communicate in the language of research and statistics
4
5
Demonstrate professional integrity in planning the results of scientific studies
5
Generic Skills:
Communication, Collaboration, Problem solving, Organisation
All - Assessment Task 2b:Project
Goal:
To enable you to engage with all stages of the scientific research process, include planning, design, data collection, data summarising, data analysis, and reporting.
Product: Report
Authorship Statement:
Format:
A Report (as a set of PowerPoint slides) reporting on your project.

Further details will be available on Canvas.

This Task should be completed in your own time. Your group members should, as far as possible, belong to the same tutorial.
Criteria:
No. Learning Outcome assessed
1
Develop research questions and testable hypotheses
1
2
Design scientific studies to answer simple scientific research questions.
2
3
Select and produce the appropriate graphical, numerical and statistical analyses
3
4
Select, apply and interpret the results of the appropriate statistical technique to analyse scientific data
4
5
Comprehend, apply, and communicate in the language of research and statistics
5
6
Demonstrate professional integrity in planning, interpreting and reporting the results of scientific studies.
6
Generic Skills:
Communication, Collaboration, Problem solving, Organisation, Applying technologies, Information literacy
All - Assessment Task 3:Final examination
Goal:
To review and consolidate all of the key content in the course.
Product: Examination - Centrally Scheduled
Authorship Statement:
Format:
Multiple choice examination questions. 

Your examination will be open book: any materials are permitted. 

Any calculator is permitted.
Criteria:
No. Learning Outcome assessed
1
Write research questions and testable hypotheses
1
2
Design appropriate scientific studies to answer simple scientific research questions.
2
3
Select and apply the correct statistical technique to analyse scientific data
4
4
Comprehend, apply, and communicate in the language of research and statistics (including using graphical and numerical information)
5
5
Show professional integrity in planning, interpreting and reporting the results of scientific studies
6
Generic Skills:
Communication, Problem solving, Organisation, Information literacy

Directed study hours

A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.

What resources do I need to undertake this course?

Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.

Prescribed text(s) or course reader

You need regular access to the resource(s) below. Many texts are available as ebooks through the Library at no additional cost.

Required? Author Year Title Edition Publisher
Required P. K. Dunn 2024 Scientific Research Methods: Tutorials Semester 1 Online (free) or PDF download (free)
Required P. K. Dunn 2024 Scientific Research and Methodology: An introduction to quantitative research and statistics in science, engineering and health n/a Online (free). Hardcopy and PDF download may be available.

Specific requirements

You *may* need access to a calculator with statistical functionality. Examples include, but are not limited to: Casio FX100AU Scientific Calculator; Casio FX82 AU PLUS-BP Scientific Calculator; Sharp EL531WHBLK Scientific Calculator. 

You need access to statistical software, such as jamovi (recommended) or IBM SPSS Statistics (commonly called SPSS). You only need access to *one* of these programs.

* jamovi is available as a free download from https://www.jamovi.org/. We advise downloading the solid version (rather than the current version) as it is likely to be more stable.

* SPSS is available in most USC computer laboratories, and through USCAnywhere (anywhere.usc.edu.au) from any internet-enabled device.  You do not need to purchase SPSS.

How are risks managed in this course?

Health and safety risks for this course have been assessed as low. It is your responsibility to review course material, search online, discuss with lecturers and peers and understand the health and safety risks associated with your specific course of study and to familiarise yourself with the University’s general health and safety principles by reviewing the online induction training for students, and following the instructions of the University staff.

What administrative information is relevant to this course?

Assessment: Academic Integrity

Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.

Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.

In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.

Assessment: Additional Requirements

Eligibility for Supplementary Assessment

Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:
(a) The final mark is in the percentage range 47% to 49.4%; and
(b) The course is graded using the Standard Grading scale

Assessment: Submission penalties

Late submissions may be penalised up to and including the following maximum percentage of the assessment task’s identified value, with weekdays and weekends included in the calculation of days late:
(a) One day: deduct 5%;
(b) Two days: deduct 10%;
(c) Three days: deduct 20%;
(d) Four days: deduct 40%;
(e) Five days: deduct 60%;
(f) Six days: deduct 80%;
(g) Seven days: A result of zero is awarded for the assessment task.

The following penalties will apply for a late submission for an online examination:
Less than 15 minutes: No penalty
From 15 minutes to 30 minutes: 20% penalty
More than 30 minutes: 100% penalty

Links to relevant University policy and procedures

For more information on Academic Learning & Teaching categories including:

  • Assessment: Courses and Coursework Programs
  • Review of Assessment and Final Grades
  • Supplementary Assessment
  • Central Examinations
  • Deferred Examinations
  • Student Conduct
  • Students with a Disability

For more information, visit https://www.usc.edu.au/explore/policies-and-procedures#academic-learning-and-teaching

Student Charter

UniSC is committed to excellence in teaching, research and engagement in an environment that is inclusive, inspiring, safe and respectful. The Student Charter sets out what students can expect from the University, and what in turn is expected of students, to achieve these outcomes.

General Enquiries

For course-specific questions, contact your teaching staff or Course Coordinator.  

For other enquiries or to access support, please contact Student Central: