2019/20 Undergraduate Module Catalogue
LLLC0131 Applied Maths for Biologists and Chemists (2)
20 creditsClass Size: 40
Module manager: Sheryl Meskin
Email: s.a.meskin@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2019/20
This module is mutually exclusive with
| LLLC0133 | Applied Maths for Engineers and Physicists (2) |
This module is not approved as a discovery module
Objectives
To build on the mathematical methods introduced in Applied Mathematics for Biologists and Chemists (1) and develop understanding of:--The mathematical methods within algebra and trigonometry.
-The mathematical methods of differential and integral calculus of simple functions.
-Statistical operations
Learning outcomes
Knowledge and Understanding of:-
-The use of mathematical techniques for differentiating and integrating simple functions.
-How data may be gathered and displayed as well as an awareness of bias and how analytical techniques can be used to explain, justify and predict from data sets.
-The relevance of mathematical methods and applications to the Biological Sciences and Chemistry.
-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
Conditional probability; Probability distribution, Binomial, Poisson, Normal; Confidence intervals; Hypothesis testing including student's t-test and Chi-squared test; Product moment correlation coefficient; Least squares regression;
Differentiation of standard functions; sin x, cos x, tan x, e×, log x; Differentiation of products, quotients and functions of a function; Differentiation of simple polynomial functions; Integration of standard functions; Definite and indefinite integrals; Integration by parts and by substitution; Area under a curve and between curves.
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 | 22.00 | ||
| Private study hours | 118.00 | ||
| Total Contact hours | 60.00 | ||
| Total hours (100hr per 10 credits) | 200.00 | ||
Private study
Independent on-line learning:Using VLE resources 11
Weekly quizzes / using online resources 11
Private study:
Reading 20
Working example problems 26
Preparing coursework 36
Revision for examinations 36
Opportunities for Formative Feedback
Weekly / online resources; reflection with exam wrapper activities (formative); problem sets and coursework.Methods of assessment
Coursework
| Assessment type | Notes | % of formal assessment |
| Assignment | 6 x 2 hour problem sets | 20.00 |
| Total percentage (Assessment Coursework) | 20.00 | |
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 30 mins | 80.00 |
| Total percentage (Assessment Exams) | 80.00 | |
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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