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MA2MMS: Mathematical Modelling and Professional Skills

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MA2MMS: Mathematical Modelling and Professional Skills

Module code: MA2MMS

Module provider: Mathematics and Statistics; School of Mathematical, Physical and Computational Sciences

Credits: 20

Level: Level 2 (Intermediate)

When you'll be taught: Semester 1 / 2

Module convenor: Dr Zuowei Wang, email: zuowei.wang@reading.ac.uk

Module co-convenor: Mrs Claire Newbold, email: c.newbold@reading.ac.uk

Pre-requisite module(s): BEFORE TAKING THIS MODULE YOU MUST ( TAKE MA1CA AND TAKE MA1LA ) OR ( TAKE MA1LANU AND TAKE MA1DE1NU ) (Compulsory)

Co-requisite module(s): IN THE SAME YEAR AS TAKING THIS MODULE YOU MUST TAKE MA2DE (Compulsory)

Pre-requisite or Co-requisite module(s):

Module(s) excluded:

Placement information: NA

Academic year: 2024/5

Available to visiting students: No

Talis reading list: Yes

Last updated: 21 May 2024

Overview

Module aims and purpose

This module focuses on i) developing students’ problem solving and independent research skills by applying mathematical modelling techniques to solve real-world problems across a broad range of scientific, engineering and economical areas and ii) improving students' professional/transferrable skills, such as team-working, presentation, career management, technical, verbal and written communication skills, especially for communication of mathematics.

Module learning outcomes

By the end of the module, it is expected that students will be able to:

  1. Demonstrate skills to build mathematical models for real-world problems and solve them using appropriate mathematical techniques;
  2. Identify, discuss and present mathematical models and results in forms of research projects, i.e., via written reports and oral presentations;
  3. Demonstrate professional/transferrable skills, such as assessing their own career capabilities, writing effective CV and LinkedIn Profile, giving constructive feedbacks and networking, etc.

Module content

This module will focus on the follow areas and topics:

  • Mathematical modelling skills;
  • Applications of mathematical methods such as differential equations, linear algebra, dimensional analysis in solving real-world problems
  • Independent research skills via working on mathematical modelling projects;
  • Presentation skills;
  • Communication of mathematical topics to others, both written and orally;
  • Team-working;
  • Giving constructive feedback;
  • Numerical and Excel skills;
  • Networking with employers.

Structure

Teaching and learning methods

Lectures, tutorials, project supervision enhanced by self-study and peer group learning.

Study hours

At least 44 hours of scheduled teaching and learning activities will be delivered in person, with the remaining hours for scheduled and self-scheduled teaching and learning activities delivered either in person or online. You will receive further details about how these hours will be delivered before the start of the module.


 Scheduled teaching and learning activities  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Lectures 16 10
Seminars
Tutorials 3 5
Project Supervision 2 5
Demonstrations
Practical classes and workshops 1 2
Supervised time in studio / workshop
Scheduled revision sessions
Feedback meetings with staff 2 2
Fieldwork
External visits
Work-based learning


 Self-scheduled teaching and learning activities  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Directed viewing of video materials/screencasts 2 2
Participation in discussion boards/other discussions 2 2
Feedback meetings with staff
Other
Other (details)


 Placement and study abroad  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Placement
Study abroad

Please note that the hours listed above are for guidance purposes only.

 Independent study hours  Semester 1  Semester 2 Ìý³§³Ü³¾³¾±ð°ù
Independent study hours 72 72

Please note the independent study hours above are notional numbers of hours; each student will approach studying in different ways. We would advise you to reflect on your learning and the number of hours you are allocating to these tasks.

Semester 1 The hours in this column may include hours during the Christmas holiday period.

Semester 2 The hours in this column may include hours during the Easter holiday period.

Summer The hours in this column will take place during the summer holidays and may be at the start and/or end of the module.

Assessment

Requirements for a pass

Students need to achieve an overall module mark of 40% to pass this module.

Summative assessment

Type of assessment Detail of assessment % contribution towards module mark Size of assessment Submission date Additional information
Oral assessment Career related video 20 Up to 5 minutes With supporting appendices
Oral assessment Mathematical modelling project 1 in groups 35 15 minutes presentation + Q&A with supporting document With supporting document
Set exercise Mathematical modelling project 2 in groups 45 Up to 10 pages Report

Penalties for late submission of summative assessment

The Support Centres will apply the following penalties for work submitted late:

Assessments with numerical marks

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day (or part thereof) following the deadline up to a total of three working days;
  • the mark awarded due to the imposition of the penalty shall not fall below the threshold pass mark, namely 40% in the case of modules at Levels 4-6 (i.e. undergraduate modules for Parts 1-3) and 50% in the case of Level 7 modules offered as part of an Integrated Masters or taught postgraduate degree programme;
  • where the piece of work is awarded a mark below the threshold pass mark prior to any penalty being imposed, and is submitted up to three working days after the original deadline (or any formally agreed extension to the deadline), no penalty shall be imposed;
  • where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

Assessments marked Pass/Fail

  • where the piece of work is submitted within three working days of the deadline (or any formally agreed extension of the deadline): no penalty will be applied;
  • where the piece of work is submitted more than three working days after the original deadline (or any formally agreed extension of the deadline): a grade of Fail will be awarded.

The University policy statement on penalties for late submission can be found at: /cqsd/-/media/project/functions/cqsd/documents/qap/penaltiesforlatesubmission.pdf

You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

Formative assessment

Formative assessment is any task or activity which creates feedback (or feedforward) for you about your learning, but which does not contribute towards your overall module mark.

Problem sheets

Reassessment

Type of reassessment Detail of reassessment % contribution towards module mark Size of reassessment Submission date Additional information
Oral reassessment Presentation with supporting documents 55 20 minutes (presentation + Q&A) with supporting documents With supporting documents
Set exercise Mathematical modelling report 45 Up to 10 pages

Additional costs

Item Additional information Cost
Computers and devices with a particular specification
Required textbooks
Specialist equipment or materials
Specialist clothing, footwear, or headgear
Printing and binding
Travel, accommodation, and subsistence

THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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