Two hour practicals each week with an associated tutorial (in one 3 hour block). We hope we can run a short, local field trip this year and we will have a number of exercises in virtual mapping to prepare. We will be spending some time running and interpreting analogue-geology experiments in the sandbox (above).
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## Using AI in this course
**Use it !** We are not going to pretend otherwise: AI is part of how scientific work is now done, and when you graduate your should be fluent in using it. What I care about is *what you use it for*.
The distinction I want you to hold on to is this: **use AI to enhance your learning, not to replace your effort.**
Those sound similar and they are not. AI that explains a derivation you are stuck on, argues with your interpretation, or checks whether your reasoning holds up — that is enhancing your learning. AI that produces the interpretation so you do not have to ... that is replacing the effort, and the effort is exactly what helps you learn.
*The view here is drawn from a longer analysis I have written on AI and university education; ask me if you want the argument in full.*
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## Fluency is now cheap; understanding is hard one
Producing a fluent, well-structured account of a topic used to require having understood it. That correlation is what essays and reports were quietly measuring — and AI has broken it. A confident 2000 words on mantle convection now costs three minutes and that produces no understanding.
What has *not* got cheaper is the thing the fluency used to stand for: knowing the material well enough to survive detailed questioning, knowing what you know and what you do not, and recognising when an answer is wrong.
That is what this course is trying to build in you, and it is why the assessment leans on things that are hard to outsource — interpreting a sandbox model *you* ran, defending a cross-section, a poster you stand next to and answer questions about, and an exam.
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## The productivity argument (the real reason)
The graduate who is worth hiring is not the one who avoided AI, nor the one who let it do the work. It is the one whose understanding is deep enough that they can direct AI hard, spot when it is confidently wrong, and stand behind the result.
That person compresses a month of work into a day. But notice the order: the expertise comes first, and AI multiplies it. **If you skip the learning, you have nothing for AI to multiply.**
There is also the awkward matter of accountability. We do not let AI be accountable for anything — no career to lose, no professional body to answer to. When a geologist signs off on a slope, a resource estimate, or a hazard assessment, a *human* carries that. You are training to be the person who **signs off on something and is responsible for that**.
*Driving the course does not prepare a runner for the marathon.*
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## So, concretely
**Good use — encouraged:**
- Ask it to explain something you are stuck on, at whatever depth you need, until you actually get it.
- Use it as a sparring partner: give it your interpretation and ask it to attack it.
- Get it to generate practice questions, or to check your reasoning after you have done the work.
- Use it for the tedious mechanics — code, formatting, figure wrangling — once you know what you want.
**What we do not allow:**
- Having it produce interpretations, answers or text that you then submit as your own.
- Avoiding critical thinking. AI will not push back on its own behalf; **refuse to be impressed by fluent text.**
- Using AI in any assessment task where we state that you are not allowed to use AI (including the final exam) — this is considered academic misconduct.
If you use AI on assessable work, **say so and say how** — that is normal professional practice and a university requirement.
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## Course Modules
(See Canvas for updates)

### Module i - Global Tectonics
Introduces the concepts of global-scale tectonics, plate motions, the nature of plate boundaries and the geological structures characteristic of large-scale deformation of the crust.
**Louis Moresi** will lead this part of the course.
*Dewey, J. F. (1972). PLATE TECTONICS. Scientific American, 226(5), 56–72. https://doi.org/10.1038/scientificamerican0572-56 - a global map of the "Mosaic of Plates [that] forms the Earth's lithosphere or outer shell"*
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## Course Modules

### Module ii - Structures in the Earth
This module aims to develop student intuition and proficiency in 3- and 4-dimensional visualization and thinking and teach the fundamentals of rock deformation using natural examples.
You will be given an overview of the geometry and type of structures produced by complex crustal deformation histories involving contractional, extensional and wrench regimes over a wide range of spatial and temporal scales. You will learn how to recognise structural features using satellite imagery, geological maps and will learn how to construct geological profiles.
**Louis Moresi** will lead this part of the course.
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## Course Modules

### Module iii - Theoretical Underpinnings
In order to understand geological structures in more detail, we need some background understanding of how stresses and strains work, how they are measured, and how you can use these concepts to interpret what you see in the field.
**Louis Moresi** / **Chengxin Jiang** will share this part of the course.
*On 24 August 2014 (03:20 local time), a magnitude 6.0 earthquake struck the Napa Valley, California, just south of the city of Napa (population 77,000). This is the first earthquake for which the surface deformation has been measured by ESA’s Sentinel-1 satellite.*
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## Course Modules

### Module iv - Brittle Deformation
When rocks undergo rapid, localised deformation, we refer to the process as “brittle deformation”. Typically brittle features in the Earth’s crust are faults and we can understand much about the stress and deformation if we understand faults, their rupture and associated seismic energy release.
**Chengxin Jiang** will lead this part of the course.
*San Andreas Fault as it passes through the Carrizo Plain in Southern California
Nelson Saarni, CC BY-SA 4.0 , via Wikimedia Commons*
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## Course Modules

### Module v - Ductile Deformation
Ductile deformation occurs when rocks are able to accommodate large deformations without fracturing. You will learn how to recognise elements of ductile deformation such as folding, shearing and stretching.
We will see how folds represent important windows into local and regional deformation histories. You will learn how to describe geometry and different styles of folding and will understand how we can use them to derive important information about the type of deformation. You will then learn about structures associated with folding and see how they can be used to map and understand the deformation history.
**Chengxin Jiang** will lead this part of the course.
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## Get involved with the school !
- You should consider attending seminars (and PhD completions) when they are topics of interest. We will let you know if there are any seminars that are particularly relevant to the course during this semester.
- Become a class rep !
- Join the Earth & Marine Science Society: https://www.facebook.com/anuems/
- Come and talk to us if you have problems (you have access to the school).
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## Interested in Honours, Masters, PhD ?
If you have an interest in structural geology, tectonics, geo-mechanics, mantle-convection then you may want to consider choosing a special topic or honours project, or masters topic in this area, or even entry to the PhD program.
We can help you to develop a project and we can also help you find a supervisor in the school (if we are not available).
There are other areas such as groundwater models, seismology, planetary science, and geodynamics which we can also supervise or advise you on.
**Just ask !**