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Unit outline_

PHYS4122: Astrophysics and Space Science

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

The field of astrophysics spans length and time scales unseen in any other area of science, and to understand this field, we must synthesise knowledge of a huge number of different physical processes. The aim of PHYS4122 is to teach you about the complexity of our Universe via advanced-level treatments of several concepts that are central to modern astrophysics research. This will include how cosmic structure emerges out of the vacuum during the very early Universe; how plasma and dark matter combine to form galaxies; and the precise tests of gravitational dynamics made possible by studying structures in the nearby Universe. These focus topics will also be complemented by shorter snapshots of several other areas of this rich field that are the subject of active research at the university, e.g. radio astronomy, asteroseismology, galaxy morphology and evolution, and astroparticle physics. By doing this unit you will learn how to synthesise knowledge of many different concepts and processes from across physics to solve modern research problems.

Unit details and rules

Academic unit Physics Academic Operations
Credit points 6
Prerequisites
? 
An average of at least 65 in 144 credit points of units
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

A major in physics

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Bruce Yabsley, bruce.yabsley@sydney.edu.au
Guest lecturer(s) Geraint Lewis, geraint.lewis@sydney.edu.au
Thorsten Tepper Garcia, thorsten.teppergarcia@sydney.edu.au
Manisha Caleb, manisha.caleb@sydney.edu.au
Lecturer(s) Jonathan Bland-Hawthorn, jonathan.bland-hawthorn@sydney.edu.au
Ciaran O'Hare, ciaran.ohare@sydney.edu.au
The census date for this unit availability is 31 March 2025
Type Description Weight Due Length
Supervised exam
? 
Final exam
Final exam
50% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4
Attendance AI Allowed Guest lecture and final presentations attendance
Participation
5% Multiple weeks -
Outcomes assessed: LO2 LO3
Assignment AI Allowed Assignment 1
Written assignment
10% Week 05
Due date: 26 Mar 2025 at 23:59
-
Outcomes assessed: LO1 LO2 LO3
Assignment AI Allowed Assignment 2
Written assignment
10% Week 11
Due date: 16 May 2025 at 23:59
-
Outcomes assessed: LO1 LO2 LO3
Presentation AI Allowed Topics in astrophysics presentation
Assessed presentation
25% Week 13 15 minutes + 10 minutes questions
Outcomes assessed: LO1 LO4 LO3 LO2
AI allowed = AI allowed ?

Assessment summary

  • Assignment 1: This assignment will require you to apply information from lectures and your reading to solve worked problems.
  • Assignment 2: This assignment will require you to apply information from lectures and your reading to solve worked problems.
  • Topics in astrophysics presentation: This assessment will require you to integrate material from the final section of the course, and your own study on an agreed topic, and to present it to the class.
  • Guest lecture and final presentations attendance: The full 5% will be awarded if you attend >75% of these sessions.
  • Final exam: The exam will cover all material in the unit, excluding content covered in the guest lectures. The exam will have a mixture of short-answer questions and worked problems. If a second replacement exam is required, this exam may be delivered via an alternative assessment method, such as a viva voce (oral exam). The alternative assessment will meet the same learning outcomes as the original exam. The format of the alternative assessment will be determined by the unit coordinator.

Assessment criteria

Result name Mark range Description
High Distinction 85-100 At HD level, a student demonstrates a flair for the subject and comprehensive knowledge and understanding of the unit material. A ‘High Distinction’ reflects exceptional achievement and is awarded to a student who demonstrates the ability to apply subject knowledge to novel situations.
Distinction 75-84 At DI level, a student demonstrates an aptitude for the subject and a solid knowledge and understanding of the unit material. A ‘Distinction’ reflects excellent achievement and is awarded to a student who demonstrates an ability to apply the key ideas of the subject.
Credit 65-74 At CR level, a student demonstrates a good command and knowledge of the unit material. A ‘Credit’ reflects solid achievement and is awarded to a student who has a broad understanding of the unit material but has not fully developed the ability to apply the key ideas of the subject.
Pass 50-64 At PS level, a student demonstrates proficiency in the unit material. A ‘Pass’ reflects satisfactory achievement and is awarded to a student who has threshold knowledge of the subject.
Fail 0-49

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

For more information see guide to grades.

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

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator. 

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions. 

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit. 

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply. 

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site

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.

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.

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 Introduction to Galaxies (weeks 1-2) Lecture and tutorial (4 hr) LO1 LO2 LO3 LO4
Week 03 Galactic Dynamics (weeks 3-4) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 04 Dynamics of the Milky Way (weeks 4-5) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 06 Dark Matter Lecture and tutorial (2 hr) LO1 LO2 LO3 LO4
Week 07 Big Bang, Inflation, and Cosmology (weeks 7-8) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 08 Guest Lecture #1 Lecture and tutorial (1 hr) LO1 LO2 LO3 LO4
Week 09 Cosmological Perturbations and Dark Matter Halos (weeks 9-10) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 10 Formation of First Stars and First Galaxies (weeks 10-11) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 11 Gaseous Processes in Astrophysics (weeks 11-12) Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 12 Guest Lectures #2 and #3 Lecture and tutorial (2 hr) LO1 LO2 LO3 LO4
Week 13 Seminar presentations by students Seminar (6 hr) LO1 LO2 LO3 LO4

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.

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. Demonstrate understanding of the physics underlying astrophysical situations, and use these concepts to describe the system under consideration.
  • LO2. Synthesise knowledge from the undergraduate syllabus and apply physics knowledge and mathematical skills to solve astrophysical problems.
  • LO3. Evaluate different theoretical models applying to a system and assess the applicability of these models.
  • LO4. Analyse astrophysical observations and numerical simulations to construct a physical model for an astrophysical system.

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.

There have been some changes to the assessments and the teaching schedule since this unit was last offered.

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.