ES5032 Statistics and Analytical Sciences

Academic year

2023 to 2024 Semester 2

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

15

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 11

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Module coordinator

Dr R C J Steele

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Dr R Steele and Dr P Savage

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module is designed to provide MSc Geochemistry students with thorough training in Statistics and methods of data analysis used in Earth Sciences. The module comprises a series of combined lecture-practical classes. These will cover both statistical concepts (distributions, accuracy and precision, error propagation, Monte Carlo simulations etc.) and applied data manipulation (using spreadsheets and the statistical programming language R). Weekly practical classes will put the lecture material into a practical context and students will undertake a data analysis and modelling project. The module will give students the necessary training to allow them to excel in their own data analysis during their research dissertations.

Assessment pattern

100% Coursework

Re-assessment

100% Oral Exam

Learning and teaching methods and delivery

Weekly contact

1 x 2 hr lecture, 1 x 3 hr lab (weeks 1 - 9)

Scheduled learning hours

45

The number of compulsory student:staff contact hours over the period of the module.

Guided independent study hours

99

The number of hours that students are expected to invest in independent study over the period of the module.