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Unit outline_

MARS5001: Coastal Processes and Systems

Semester 1, 2024 [Normal day] - Camperdown/Darlington, Sydney

This unit of study explains the major coastal processes and systems of relevance to coastal zone management. These include beaches, barriers and dunes; estuaries and inlets; and coral reefs. The interactions between these processes and systems that are of most relevance to coastal management are highlighted, including coastal hazards such as beach erosion. Anthropogenic impacts are also analysed. This unit includes an introduction to numerical modeling of coastal processes and systems using state-of-the-art modeling tools. The unit is presented in lectures and field excursions, the latter enabling each system to be examined first hand.

Unit details and rules

Academic unit Geosciences Academic Operations
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Ana Vila Concejo, ana.vilaconcejo@sydney.edu.au
Lecturer(s) Ana Vila Concejo, ana.vilaconcejo@sydney.edu.au
Tristan Salles, tristan.salles@sydney.edu.au
The census date for this unit availability is 2 April 2024
Type Description Weight Due Length
Small test Part 1 assessment A
Part 1 assessment A
10% Week 02 30 minutes
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Small test Part 1 assessment B
Part 1 assessment B
15% Week 05 45 minutes
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Assignment Numerical modelling exercises 1-3
Numerical modelling exercises 1-3
25% Week 10
Due date: 01 May 2024 at 23:59
Maximum 10 pages
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO7 LO8 LO9
Presentation group assignment Coastal Group presentation
Oral presentation with power point
20% Week 13 15 minutes with 5 minutes questions
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Assignment Coastal Report
Executive summary
30% Week 13
Due date: 24 May 2024 at 23:59
Maximum 4 pages
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
group assignment = group assignment ?

Assessment summary

The new streamlined assessment includes the two parts of the UoS in response to student feedback. Up until last year, the students completed two different assessments on beach processes. The first one, data driven, was based on research data from Sydneys beaches. The second one, numerical modelling, was using open-source data from Narrabeen beach. We have decided to have the students work with the same datasets for both parts of the UoS. This will provide an authentic learning experience and provide important employability skills.

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

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 D 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 P 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.

Absent fail (AF): A student is given an absent fail mark due to non-submission of compulsory work (or non-attendance at compulsory labs, etc) as well as failure to attend an examination

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.

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. Beach systems and global change; Wave dominated coasts Lecture (2 hr) LO1 LO2 LO5
Week 02 2. Waves Lecture (2 hr) LO1 LO3
Topographic data processing Tutorial (1 hr) LO2 LO7
Week 03 3. Beaches in estuaries and bays Lecture (2 hr) LO1 LO3
Wave climate processing Tutorial (1 hr) LO1 LO3 LO7
Week 04 4. Surf zone currents Lecture (2 hr) LO1 LO2 LO5
Independent work on Assignment 1 (teaching staff available) Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5 LO7
Week 05 5. Morphodynamics of coral reefs Lecture (2 hr) LO2 LO5 LO7
Independent work on Assignment 1 (teaching staff available) Tutorial (1 hr) LO1 LO2 LO3 LO4 LO5 LO7
Week 07 6. Introduction to coastal ocean observing systems Lecture (2 hr) LO4 LO7 LO8
Week 08 6. Introduction to coastal ocean observing systems Lecture (2 hr) LO4 LO7 LO8 LO9
Accessing & plotting coastal dataset 1 Tutorial (1 hr) LO7 LO8
Week 09 6. Introduction to coastal ocean observing systems Lecture (2 hr) LO2 LO3 LO7 LO8
Accessing & plotting coastal dataset 2 Tutorial (1 hr) LO7 LO8 LO9
Week 10 7. Coastal evolution: physical & numerical models Lecture (2 hr) LO3 LO5 LO8
Beach profile evolution under storm condition Tutorial (1 hr) LO1 LO3 LO5 LO8
Week 11 8. Coastal evolution: physical & numerical models Lecture (2 hr) LO1 LO2 LO3 LO5 LO8
Wave sediment modelling at regional scale Tutorial (1 hr) LO5 LO7 LO8
Week 12 8. Coastal evolution: physical & numerical models Lecture (2 hr) LO1 LO2 LO3 LO5 LO8
Wave sediment modelling at regional scale Tutorial (1 hr) LO5 LO7 LO8

Attendance and class requirements

Due to the exceptional circumstances caused by the COVID-19 pandemic, attendance requirements for this unit of study have been amended. The unit is held face-to-face on campus and students should make every effort to attend and participate at the scheduled time.

Students should discuss any conflicts preventing attending the classes with the coordinator.

Please keep on checking CANVAS for announcements,

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

There is no prescribed text for MARS 5001. Rather, students are expected to read a number of sections in textbooks and some scientific papers.

Some recommended books include:

  • Short, A.D. and Woodroffe, C.D., 2009. The Coast of Australia. Cambridge University Press, 288 pp.
  • Davis, R.A. and FitzGerald, D.M., 2004. Beaches and coasts. Blackwell Pub.
  • Masselink, G. and Hughes, M.G., 2003. Introduction to Coastal Processes and Geomorphology. Hodder Arnold Publishers, London, 354 pp.
  • Davidson-Arnott, R., 2010. Introduction to coastal processes and geomorphology. Cambridge University Press, 456 pp.
  • Short, A.D., 1999. Handbook of Beach and Shoreface Morphodynamics. Wiley, 379 pp.
  • Woodroffe, C.D., 2003. Coasts. Cambridge University Press, 623 pp.
  • Ciavola, P. and Coco, G. (2017) Coastal storms: processes and impacts. Edited by P. Ciavola and G. Coco. Chichester, UK: John Wiley & Sons, Ltd. doi: 10.1002/9781118937099.

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. analyse beach systems and evaluate the controlling mechanisms that define the characteristics of a given beach
  • LO2. understand the importance of coastal geomorphology for coastal management
  • LO3. estimate coastal processes using data and numerical models
  • LO4. design a coastal management project to effectively assess coastal change in sandy coasts
  • LO5. understand the effects of climate change on coastal areas and the related coastal response and management
  • LO6. efficiently keep a field notebook
  • LO7. learn techniques for data analyses and representation
  • LO8. setup, run and analyse data using a numerical model
  • LO9. understand scientific writing & basic programming
  • LO10. demonstrate proficiency in scientific presentation
  • LO11. learn to scientifically discuss the work of your peers.

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.

The content and assessments of this UoS change yearly following students' feedback.

The Learning Centre (http://sydney.edu.au/stuserv/learning_centre/index.shtml) offers a wide range of courses intended to develop the generic skills required for success at University, and was established to assist students achieve their academic potential. They also offer workshops for undergraduate students from non-English speaking backgrounds.

GEOSOC is the student society open to all undergraduate and postgraduate students, and provides support and information to students in the School. usgs.geosoc@gmail.com

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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.

General Laboratory Safety Rules

  • No eating or drinking is allowed in any laboratory under any circumstances 
  • A laboratory coat and closed-toe shoes are mandatory 
  • Follow safety instructions in your manual and posted in laboratories 
  • In case of fire, follow instructions posted outside the laboratory door 
  • First aid kits, eye wash and fire extinguishers are located in or immediately outside each laboratory 
  • As a precautionary measure, it is recommended that you have a current tetanus immunisation. This can be obtained from University Health Service: unihealth.usyd.edu.au/

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.