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 | Sampling the Ocean | ||
Code | ENVS220 | ||
Coordinator |
Professor C Mahaffey Earth, Ocean and Ecological Sciences Claire.Mahaffey@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2022-23 | Level 5 FHEQ | Second Semester | 15 |
Aims |
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To provide students with An understanding of the practical methods used to measure and analyse physical and biogeochemical quantities in the ocean, in both the context of ocean research and in the commercial world. This includes: |
Learning Outcomes |
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(LO1) Students will understand how to use charts and design surveys; how measurements of temperature, salinity and density are made with a CTD; different methods for the measurement of currents; how to analyse water samples for chlorophyll, nutrients and dissolved oxygen. |
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(LO2) Students will be able to assess data quality and use suitable analysis techniques including manipulation of CTD and current data; calculation of water column properties from discrete sampling; calibration of instrumentation using discrete samples. |
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(LO3) Students will be able to present data graphically to a high standard, appreciating the need for legibility, labelling, legends and figure captions. |
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(LO4) At the end of the module a student should be able to evaluate the quality and significance of oceanographic data, and understand how data is used in both commercial and research environments. |
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(LO5) Students will acquire appreciation of safe working practices in the laboratory. |
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(S1) Problem solving skills |
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(S2) Numeracy |
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(S3) Communication skills |
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(S4) IT skills |
Syllabus |
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Weeks 1 to 3, 1 x 1h workshop per week supported by 3 hours of video and online material (viewed before each week’s workshop) covering navigation, chartwork, measurements of ocean currents and the CTD. Week 4: 1 x 2 hour computer lab: sensor calibration and error estimates (Matlab and Excel) and set the first assignment. Week 6 – Nutrients and oxygen: e-lecture plus 3 hour lab class in CTL Week 7 – Chlorophyll: e-lecture plus 3 hour lab class in CTL. Week 8 – Plankton: e-lecture plus 3-hour lab class in CTL. Week 9 – Fieldwork week = Monday, Tuesday Wednesday. Students would then use information from field week alongside later computer-based activities to complete the 2nd assessment. Week 10 – Computer lab – 2 hours, quality control of nutrient data and plotting. Week 11 – Computer lab – 2 hours, analysing current meter data (removing tidal variability using Matlab and Excel – and a demonstration of why Matlab is so much better!) Note: some re-arranging will be required depending on which week is used as field week. |
Teaching and Learning Strategies |
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Teaching Method 1 – Lecture/workshop Teaching Method 2 - Computer practicals. Teaching Method 3 - CTL Laboratory practicals. |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
3 |
24 |
6 |
33 | |||
Timetable (if known) | |||||||
Private Study | 117 | ||||||
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 |
Sensor calibration report. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule: first half of semester 2. | 0 | 50 | ||||
Data analysis of data acquired in the laboratory. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) : t | 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. |