This module introduces the students to the basics of Maple and three topics in the mathematical sciences. The precise topics will vary in any particular year. Potential topics include (for example): history and/or people active in the mathematical sciences, algorithms, engaging the public in the mathematical sciences, mathematical games. Each topic is supported by a series of workshops introducing key aspects of the topic.
Maple: the Maple environment, basic commands, basic calculus, curve sketching.
There is no specific mathematical syllabus for the topics part of the module.
Total contact hours: 16
Private study hours: 134
Total study hours: 150
100% coursework
Mathematical texts will depend on the projects offered in any particular year. The following texts are recommended in conjunction with the Maple sessions:
Understanding Maple, I. Thompson, Cambridge University Press (2018) Ebook
An Introduction to Modern Mathematical Computing, J. Borwein and M. Skerritt, Springer (2011).
Heck, Introduction to Maple, Springer, 3rd edition, 2003. Ebook
The intended subject specific learning outcomes. On successfully completing the module students will be able to:
1 investigate with guidance a topic in mathematics and/or statistics;
2 use the Library and other sources in support of their learning;
3 demonstrate the capability to solve problems in accordance with the basic theories and concepts of the relevant topics in mathematics and/or statistics;
4 make appropriate use of Maple.
The intended generic learning outcomes. On successfully completing the module students will be able to:
Demonstrate an increased ability to:
1 manage their own learning and make use of appropriate resources;
2 understand logical arguments, identifying the assumptions made and the conclusions drawn;
3 communicate straightforward arguments and conclusions reasonably accurately and clearly;
4 manage their time and use their organisational skills to plan and implement efficient and effective modes of working;
5 solve problems relating to qualitative and quantitative information;
6 make use of information technology skills such as online resources (Moodle), internet communication and Maple.
7 demonstrate an increased level of skill in numeracy and computation.
University of Kent makes every effort to ensure that module information is accurate for the relevant academic session and to provide educational services as described. However, courses, services and other matters may be subject to change. Please read our full disclaimer.