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Unit outline_

HPSC1001: What is This Thing Called Science?

Intensive February, 2024 [Block mode] - Camperdown/Darlington, Sydney

This Unit of Study explores the very nature of science and how it is practised. Using contemporary and historical scientific examples, the unit looks into whether a sharp line can be drawn between science and non-science, and what criteria can be used to distinguish science from pseudoscience. Various tools of science will be examined philosophically and historically, including theories, models, explanations, data analysis and concepts. The unit also looks into the ways in which science is a social process, with an emphasis on values, biases, and the institutionalized organization of science. To complete this broad overview, topics such as science denialism (not accepting various bodies of scientific knowledge) and scientism (valuing science above all other knowledge systems) will also be addressed.

Unit details and rules

Academic unit History and Philosophy of Science Academic Operations
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
HPSC2101 or HPSC2901 or HPSC1901
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Maureen O'Malley, maureen.omalley@sydney.edu.au
Lecturer(s) Jules Rankin, jules.rankin@sydney.edu.au
Tutor(s) Zain El-Roubaei, zain.el-roubaei@sydney.edu.au
The census date for this unit availability is 25 January 2024
Type Description Weight Due Length
Assignment Critical exegesis
Precis
20% Week 03
Due date: 04 Feb 2024 at 23:59

Closing date: 18 Feb 2024
700-800 words
Outcomes assessed: LO1 LO2 LO3
Assignment Essay plan
Outline of essay
15% Week 04
Due date: 11 Feb 2024 at 23:59

Closing date: 25 Feb 2024
500 words
Outcomes assessed: LO1 LO2 LO3
Assignment Essay
Research essay
35% Week 06
Due date: 25 Feb 2024 at 23:59

Closing date: 10 Mar 2024
1800-2000 words
Outcomes assessed: LO1 LO2 LO3
Participation hurdle task Tutorial participation
80% attendance required
10% Weekly 2 x 1 hour
Outcomes assessed: LO1 LO3
Assignment hurdle task Weekly Online Exercise
5 out 6 to pass. Wk 1 Question 5%. Remaining wks 15%.
20% Weekly 150-250 words
Outcomes assessed: LO1 LO2 LO3
hurdle task = hurdle task ?

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

Detailed information for each assessement can be found on Canvas, along with rubrics for both written work and participation.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Distinction

75 - 84

Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Credit

65 - 74

Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Pass

50 - 64

Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

Please note that a grading rubric for submitted assessments and a grading rubric for participation are provided on Canvas.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The Assessment Procedures 2011 stipulate that any written work submitted after 11:59pm on the due date will be penalised by 5% of the maximum awardable mark for each calendar day after the due date. If the assessment is submitted more than ten calendar days late, a mark of zero will be awarded. However, a unit of study may prohibit late submission or waive late penalties only if expressly stated below.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 1.1. Introduction to Course and What is Philosophy of Science? Lecture (2 hr) LO1 LO3
1.2. Empiricism Lecture (2 hr) LO1 LO3
1.3. Logical Positivism Lecture (2 hr) LO1 LO3
Content Week 1 Tutorial (2 hr) LO1 LO3
Week 02 2.1. How to Write a Philosophy Paper Lecture (1 hr) LO1 LO2
2.2. Problems of confirmation Lecture (2 hr) LO1 LO3
2.3. Demarcation: Karl Popper Lecture (2 hr)  
Content week 2 Tutorial (2 hr) LO1 LO3
Week 03 3.1. Thomas Kuhn's revolution Lecture (2 hr) LO1 LO3
3.2. Responses to Kuhn Lecture (2 hr) LO1 LO3
3.3. Rationality and Theory Change Lecture (2 hr) LO1 LO3
Content week 3 Tutorial (2 hr) LO1 LO3
Week 04 4.1. Sociology of scientific knowledge Lecture (2 hr) LO1 LO3
4.2. Feminist critiques of scientific objectivity Lecture (2 hr) LO1 LO3
4.3. Values in science Lecture (2 hr) LO1 LO3
Content week 4 Tutorial (2 hr) LO1 LO3
Week 05 5.1. Phil within Science: Realism Lecture (2 hr) LO1 LO3
5.2. Correlation vs causation Lecture (2 hr) LO1 LO3
5.3. Explanation Lecture (2 hr) LO1 LO3
Content week 5 Tutorial (2 hr) LO1 LO3
Week 06 6.1. Models (guest lecture) Lecture (2 hr) LO1 LO3
6.2. Experimentation (maybe also more on modeling) Lecture (2 hr) LO1 LO3
6.3. Bayesianism Lecture (2 hr) LO1 LO3
Content week 6 Tutorial (2 hr) LO1 LO3

Attendance and class requirements

Attendance: Attending at least 80% of tutorials is mandatory to pass the course.

Lecture attendance is strongly recommended. It will be offered  in person, live online, and recorded. It will be very difficult to do well in the course without close attention to the lecture. Questions and comments from students are encouraged throughout the lecture.

Online exercises: Students must complete at least eight of the online exercises to pass the course.

Assignments: Students must complete all three essays to pass the course.

Tutorials

To gain marks in tutorials you must participate. You are expected to:

  • Read at least the main reading before the tutorial, and be prepared to discuss it or ask questions about it.

  • Discuss the themes from the week’s lectures.

  • Participate respectfully.

  • Attend your tutorial on time.

  • Stay for the entire tutorial.

  • Tutors will discuss participation marks and how to earn them with students.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All reading material is on Canvas.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. understand philosophical and historical discussions of science and critically assess arguments in these areas
  • LO2. write clear and well-organized responses to philosophical and historical discussions of science, and develop your own views on these issues
  • LO3. relate general philosophical and historical ideas about science to particular examples of scientific work.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

Students will be reminded every week about assessment expectations. A revised essay marking rubric is in operation. Around Wk 9 teachers will identify students at risk of failing due to missing hurdle tasks, and will then work with students to achieve the hurdles.

How to ask questions about the course

  • Check Canvas very thoroughly. It has LOTS of information and is regularly updated.
  • Raise questions during and after the lecture (via chat or in person).
  • Bring up issues and questions in the tutorial.
  • Talk to your tutor personally or by email.
  • Email the head tutor and/or lecturer at any point.

Student email

It is your responsibility to check your University of Sydney email account regularly or establish a forwarding address on the Sydney system. This is the primary means of contact with anyone at the University about your units of study. Ensure that all replies are sent from your USYD email address.

Problems with marks

If you believe that your work has been marked unfairly, you should first contact the Head Tutor and Unit Coordinator (Lecturer). They will give you all the details about how to proceed if you cannot resolve the issues with them. Please note that any remarking is done ‘blind’ (i.e. the person doing the remarking does not know the original mark or the name of the student). This means you could end up with a lower mark than the one you began with.

 

 

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.