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 | Earth and Environmental Data Science | ||
Code | ENVS229 | ||
Coordinator |
Dr GA Paterson Earth, Ocean and Ecological Sciences Greig.Paterson@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2023-24 | Level 5 FHEQ | Second Semester | 15 |
Aims |
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Understanding the fundamentals of earth and environmental data science; |
Learning Outcomes |
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(LO1) Knowledge of, and familiarity in, computer programming |
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(LO2) Knowledge and understanding of the fundamentals of geoscience theory and its applications through computer programming |
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(LO3) Be able to analyse, and apply theory and methods to data, through the development of computer code |
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(S1) Computer programming and IT literacy |
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(S2) Critical thinking and problem solving |
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(S3) Time and project management |
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(S4) Written communication and presentation |
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(S5) Numeracy |
Syllabus |
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This module is an introduction to computer coding as a numerical analysis tool through the coding of geoscience theory and methods. Students will develop skills in computer programming by learning about Earth systems theory, with examples including earthquakes and volcanoes; Earth structure and dynamics; and environmental pollutants. |
Teaching and Learning Strategies |
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This module is delivered through two styles of learning method: (1) interactive lectures and (2) practical coding workshops. Interactive lectures are designed to lead students through the syllabus, covering Earth and environmental data, and computer science topics. Students will learn to code and interact with data through the interactive lectures, following the course leader on their computers. Practical workshops, involving problem sets, data visualisation, or data analysis, will then reinforce the learning undertaken in the interactive lectures. The practical sessions are used formatively, building up student’s confidence and skills, and leading the students to undertake summative assessment in terms of and Earth or environmental data challenges. |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
20 |
27 |
47 | ||||
Timetable (if known) | |||||||
Private Study | 108 | ||||||
TOTAL HOURS | 155 |
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 |
A3 poster building on topics covered in syllabus and using figures produced in computer practical classes. Students demonstrate skills they have developed in programming to demonstrate theory covered | 0 | 50 | ||||
Computer based problem set started in class (with help) and completed in own time. | 6 | 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. |