2018/19 Undergraduate Module Catalogue
LLLC0132 Applied Maths for Engineers and Physicists (1)
15 creditsClass Size: 30
Module manager: Sheryl Meskin
Email: s.a.meskin@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2018/19
This module is mutually exclusive with
| LLLC0141 | Applied Maths for Biologists and Chemists (1) |
This module is not approved as a discovery module
Objectives
To introduce students to:--The mathematical methods within algebra, trigonometry and vectors which are the foundation of mathematics for scientists.
-Some mathematical methods of differential calculus and using these to analyse polynomial functions.
Learning outcomes
Knowledge and Understanding of:-
-The mathematical methods within algebra, trigonometry and vectors which are the foundation of mathematics for scientists.
-Basic rules, definitions and axioms, which provide students with a working toolbox of mathematical techniques, concepts and facts for solving problems in pre-calculus mathematics.
-The mathematical methods of differential calculus.
-Examples of mathematical methods and applications theories related to the study of environmental sciences, chemistry and physics across the science and engineering disciplines.
-How to select and apply appropriate mathematical methods to solve abstract and real-world problems.
-How to manipulate mathematical expressions, set up and solve equations and construct simple proofs.
Skills outcomes
-Select and apply appropriate mathematical methods to solve abstract and real-world problems.
-Show confidence in manipulating mathematical expressions, setting up and solving equations and constructing simple proofs.
Syllabus
Revision of basic arithmetic, algebra, equations and Pythagoras theorem. Manipulation of Surds; Introduction to vectors and representing vector quantities; Co-ordinate geometry of the straight line; gradients, lengths and perpendicularity; Co-ordinate geometry of circles and simple curves; gradients, tangents and perpendicularity;. Solution of equations by graphs; Trigonometry, Sin, Cos, Tan and their graphs; Differentiation of simple polynomial functions; Finding maxima and minima values using differentiation of polynomial functions; Sketching simple polynomial functions.
Teaching methods
| Delivery type | Number | Length hours | Student hours |
| Workshop | 20 | 1.00 | 20.00 |
| Lecture | 20 | 2.00 | 40.00 |
| Independent online learning hours | 11.00 | ||
| Private study hours | 79.00 | ||
| Total Contact hours | 60.00 | ||
| Total hours (100hr per 10 credits) | 150.00 | ||
Private study
Independent on-line learning:Weekly quizzes 6
Using VLE resources 5
Private study:
Reading 10
Working example problems 19
Preparing coursework 30
Revision for examinations 20
Opportunities for Formative Feedback
Weekly resources and quizzes (formative); reflection with exam wrapper activities; problem sets and coursework; mid-term quiz.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | 5 x 2 hour problem sets | 20.00 |
| In-course Assessment | 1 x 40 minute assessment | 10.00 |
| Total percentage (Assessment Coursework) | 30.00 | |
Resits are not available for individual coursework elements in the module. Attendance is required for coursework elements which are linked to an assessment available only at that specific time, such as fieldwork, lab reports on specific labs, and midterms.
Exams
| Exam type | Exam duration | % of formal assessment |
| Standard exam (closed essays, MCQs etc) | 2 hr | 70.00 |
| Total percentage (Assessment Exams) | 70.00 | |
Resits for the exam component of the module will be assessed by the same methodology as the first attempt during the July Resit period in most cases or during the next available opportunity. In order to receive credit for a module BOTH the coursework and exam components should be a pass.
Reading list
The reading list is available from the Library websiteLast updated: 12/12/2018 10:48:53
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- Undergraduate module catalogue
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