Module Details |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Simulating Environmental Systems | ||
Code | ENVS397 | ||
Coordinator |
Professor PM Burgess Earth, Ocean and Ecological Sciences Peter.Burgess@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2023-24 | Level 6 FHEQ | Second Semester | 15 |
Aims |
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This module aims to: |
Learning Outcomes |
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(LO1) On successful completion of this module students should have knowledge and basic understanding of the range and diversity of numerical forward model used in the environmental sciences, why they are important, and how they are useful to better understand and predict how environmental systems work. |
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(LO2) On successful completion of this module students should be able to understand provided examples, and construct and code their own examples, of basic algorithms using a high-level programming language, for example Matlab or Python. |
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(LO3) On successful completion of this module students should be able to translate simple conceptual ideas and data on how selected environmental systems work into the key elements of a simple representative numerical forward model written in a high-level programming language, for example Matlab or Python. |
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(S1) Science communication skills |
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(S2) Problem solving skills |
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(S3) Numeracy |
Syllabus |
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Introduction to environmental forward models Coding elements 1 - basic coding and numerical methods Coding elements 2 - basic coding and data structures and model grids Coding elements 3 - basic coding and graphics and visualization Construction of simple numerical forward models, from a range of types and applications within environmental science, including stratigraphic and Earth-surface process models, geophysical models, for example isostatic models, oceanographic process models, for example simple models of themohaline convection, coastal evolution models, and ecological models, for example population dynamics models. All learning resources will be available to students on Vital and the module will use Jupyter Notebooks (or similar) to develop and present the various practical exercises in the module. Students will be expected to spend independent time practicing writing, testing and refining co de based on concepts and skills taught in lectures, seminars and supervised practical sessions. |
Teaching and Learning Strategies |
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Mix of formal tutor-led presentations to introduce and demonstrate topics with the bulk of module time spent on practical work developing numerical models. Use will be made of latest methods teaching coding with Jupyter Notebook systems, or an equivalent. Students will learn coding and model development skills primarily through self-guided application of the concepts and skills introduced and demonstrated in the lectures and seminars, with a strong focus on reflection and problem-solving during iterations of code development. Design of the lecture and seminar material will take into account points made at e.g. https://medium.com/the-mission/heres-why-learning-how-to-code-is-so-hard-and-what-to-do-about-it-3d6fda152409 on why students find learning coding difficult. Lecture, seminar and practical session attendance will be monitored as set out by the University Framework for Student Attendance. |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
6 |
20 |
20 |
46 | |||
Timetable (if known) | |||||||
Private Study | 104 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Coding and model building exercises | 0 | 50 | ||||
Coding and model building exercises | 0 | 50 |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |