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2024/25 Undergraduate Module Catalogue

SOEE1312 Advanced Mathematics 2

10 creditsClass Size: 42

Module manager: Steven Dobbie
Email: J.S.E.Dobbie@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2024/25

Pre-requisites

SOEE1302Advanced Mathematics 1

This module is mutually exclusive with

SOEE2430Adv Maths for Scientists

Module replaces

SOEE1311 Advanced Mathematics for Environmental and Geophysical Scientists

This module is not approved as a discovery module

Module summary

This module provides students with an understanding of basic mathematical concepts and analysis techniques that they will require for a number of 2nd and 3rd year modules on the Environmental Science and Geophysics degree programmes.

Objectives

On completion of this module, students will have acquired an understanding of a range of mathematical concepts which underpin key areas of environmental science. They will be able to apply their maths knowledge to solve problems of an environmental nature.

The mathematical problem sheets requiring the students to apply the techniques explained in the lectures, and the module establishes a strong independence of learning.

Learning outcomes
On completion of this module, students will be able to:
1. determine the partial derivatives and extrema of a function
2. apply the grad operator (div, grad, curl)
3. Solve partial differential equations
4. Introduction to Fourier Series
5. introduction to multi-dimensional integration.

Skills outcomes
On successful completion of the module students will have demonstrated the following skills learning outcomes:
1. Work-ready: Self-managed study skills (working independently, time management, organisational skills)
2. Academic: Ability to apply mathematical concepts and equations to pen-on-paper analyse real-world problems scientifically
3. Technical: Mathematical terminology and techniques
4. Sustainability: ability to work pen-on-paper and derive from first principles is a corner-stone of sustainable educational principle.
5. Work-ready: pen-on-paper working ensures students are confident & independent from vulnerable web-based systems.


Syllabus

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lectures121.0012.00
Examples Class221.0022.00
Private study hours66.00
Total Contact hours34.00
Total hours (100hr per 10 credits)100.00

Opportunities for Formative Feedback

Students talk with Post-Graduate Research Student demonstrators at each of the 11 weekly examples classes.
Students are provided with annotated marked-script of their coursework (assessed problem sheets).

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Online Assessment.85.00
AssignmentCoursework15.00
Total percentage (Assessment Coursework)100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated


Exams
Exam typeExam duration% of formal assessment
Standard exam (closed essays, MCQs etc) (S2)1 hr 30 mins85.00
Total percentage (Assessment Exams)85.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 09/04/2024

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