Undergraduate Course: Practical Geochemistry and Data Analysis (EASC10103)
|School||School of Geosciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 3 Undergraduate)
||Availability||Not available to visiting students
|Summary||This course will provide an overview of a range of geochemical tools used on GeoSciences, and will provide practical hands-on experience of the procedures required to produce geochemical data. The course will also provide training in the use of computer programming and its application to data analysis using geochemical examples. The course will develop students' ability in generation and testing of scientific hypotheses and in the communication of scientific findings through report writing.
Course Delivery Information
|Academic year 2020/21, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Lecture Hours 13,
Seminar/Tutorial Hours 1,
Supervised Practical/Workshop/Studio Hours 39,
Revision Session Hours 1,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
- Take Home Short Form ¿ 30%
- Programming Test ¿ 25%
- Independent Mini Project and Short Answer Questions ¿ 45%
- Take home (semester long) short form questions and journal article summary (sem1) 12 noon Thursday week 11
- Programming test (sem1) 12 noon Friday week 11
- Independent mini project and Short answer questions on techniques (sem2) 12 noon Thursday week 8
||Feedback on the programming aspect of the course will be provided during the practical sessions, and online.
Feedback on geochemical theory will be provided in tutorial sessions and via Q&A hosted on a Learn discussion forum.
Feedback on the analytical project hypotheses constructions and write up will be via a set of tutorials in semester 2.
|No Exam Information
On completion of this course, the student will be able to:
- Develop an understanding of the fundamental science that underpins a range of inorganic geochemistry tools for Earth Scientists
- Appreciate the processes that are required to extract accurate geochemical data from natural samples
- Acquire skills in computer programming
- Develop an understanding of a range of data processing/analysis techniques and the ability to determine suitable data analysis approaches to test hypotheses
- Be able to identify suitable scientific objectives that can be addressed with geochemical measurements, and suitable data analysis
|William M. White. (n.d.). Geochemistry.|
Francis Albarède. (2009). Geochemistry: An Introduction (Second edition..). Cambridge: Cambridge University Press.
Hugh R. Rollinson (Hugh Richard), 1949-. (1993). Using geochemical data: evaluation, presentation, interpretation. Harlow: Longman Scientific & Technical.
John C. Davis. (2002). Statistics and data analysis in geology (Third edition..). New York; Chichester: John Wiley.
Steve McKillup. (2010). Geostatistics Explained: An Introductory Guide for Earth Scientists. Cambridge: Cambridge University Press.
Ellam Rob. (2016). Isotopes: A Very Short Introduction (1st ed., p. 152).
David. Waltham. (2000). Mathematics: a simple tool for geologists (Second edition..). Oxford: Blackwell Science.
Essential maths for geoscientists: an introduction. (2014). Chichester, West Sussex: John Wiley & Sons, Incorporated.
Tom Scott. (n.d.). One simple interview question. YouTube.
Additional Journal articles will be provided for relevant lectures
|Graduate Attributes and Skills
|Keywords||Geomaterials,Evolution of the Living Earth,Earth Modelling and Prediction
|Course organiser||Dr Alex Thomas
Tel: (0131 6)50 8749
|Course secretary||Ms Katerina Sykioti
Tel: (0131 6)50 5430