Module MATH2637: MATHEMATICAL MODELLING II

Department: Mathematical Sciences

MATH2637: MATHEMATICAL MODELLING II

Prerequisites

• Calculus and Probability I (MATH1061) AND Linear Algebra I (MATH1071) AND (Programming and Dynamics I (MATH1041) OR Discovery Skills in Physics (PHYS1011) OR Computational Thinking (COMP1051))

Corequisites

• None

Excluded Combination of Modules

• None

Aims

• To develop skills in modelling the real world and the use of computers in solving them numerically

Content

Learning Outcomes

• By the end of the module students will: be able to model a range of problems drawn from the physical world.
• Have acquired a range of programming skills in Python appropriate for solving a range of problems drawn from the physical world.

• In addition students will have the ability to undertake and defend the use of alternative mathematical skills in the following areas with minimal guidance: Modelling.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• Lectures introduce the basic concepts.
• Practical sessions develop and practice programming skills, and provide active engagement and feedback to the learning process.
• Practical classes
• Formative and summative assessments guide students in the correct development of their knowledge and skills. They are also an aid in developing students' awareness of standards required.
• The assessments' written report will train students to write an extended report with precision and rigour of expression.

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

Fortnightly or Weekly assignments.

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University