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ENGI2211: Engineering Mathematics 2

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback. Current modules are subject to change in light of the ongoing disruption caused by Covid-19.

Type Tied
Level 2
Credits 20
Availability Available in 2024/2025
Module Cap
Location Durham
Department Engineering

Prerequisites

  • MATH1551

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To provide a working knowledge of probability and statistics and advanced mathematical methods for modelling engineering problems.

Content

  • Lecture courses: Probability and Statistics; and Numerical Methods
  • Academic advisor meetings

Learning Outcomes

Subject-specific Knowledge:

  • Probability and statistics for engineers
  • Advanced mathematical methods for engineering problems

Subject-specific Skills:

  • Application of data analysis techniques using statistics and numerical methods

Key Skills:

  • Numerical skills
  • Time and resource management

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

  • The courses in Probability and Statistics and Numerical Methods are covered in lectures, and are reinforced by regular problem sheets, leading to the required problem solving capability.
  • Assessment is through coursework which enables each student to demonstrate an ability to analyse and solve complex and detailed problems.
  • Students are able to make use of staff 'Tutorial Hours' to discuss any aspect of the module with teaching staff on a one-to-one basis. These are sign up sessions available for up to one hour per week.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures40Up to 4 per week1 hour40 
Tutorial hoursAs requiredWeekly sign up sessionsup to 1 hour8 
Academic advisorTypically 5Throughout the yearup to 1 hour5Yes
Formative exercises and self study147 
Total200 

Summative Assessment

Component: CourseworkComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Assignment 100 

Formative Assessment

Problem Sheets

More information

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