2016/17 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 2016/17
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
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;
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.
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 quizzes / online resources (formative); reflection with exam wrapper activities(formative); problem sets and coursework; mid-term quizMethods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Assignment | 6 x 2 hour problem sets | 10.00 |
In-course Assessment | 1 x 40 minute in course exam | 10.00 |
Total percentage (Assessment Coursework) | 20.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
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 |
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 websiteLast updated: 01/04/2016
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- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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