KL4000 - Mathematics for Construction Engineering

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What will I learn on this module?

Outline Syllabus
Arithmetic, trigonometry, functions and basic calculus, applications to land survey techniques

• Units and dimensional analysis.
• Indices, numbers, fractions and percentages.
• Areas and volumes
• Linear and quadratic equations.
• Systems of equations and the elimination method.
• Pythagoras' theorem, basic trigonometric functions and their graphs.
• Functions, rate of change and basic derivative.
• Basic integration and approximation of areas using Simpson's rule.

Probability and statistics

• Continuous and discrete variables
• Mean and standard deviation.
• Identifying linear relationships and computing linear regression. Interpreting regression and correlation data.
• Simple probability.
• Data representation, grouped data, frequency tables and bar histograms.

How will I learn on this module?

The module is taught via a wide range of learning and teaching approaches, especially through a combination of lectures and seminars focussing on problem solving where you will be able to obtain help. Lectures will allow you to experience and understand the formalism of the required mathematical techniques as well as include relevant engineering examples and guided in-class exercise-solving sessions between more theoretical expositions. You will have an opportunity to enhance your understanding of the subject through seminars which promote both independent learning and problem solving within peer groups. Through small group teaching you will be instructed in the use of appropriate software (e.g. Microsoft Excel) which will then allow you to define and solve mathematical problems specifically related to engineering applications. You will receive formative feedback in the seminars. The mathematical rigour and critical thinking associated with this module will develop your proficiency in tackling engineering problems, which is a highly-demanded skill by employers. All the abilities that you will develop in this module are also highly transferable across other engineering and scientific disciplines.

The module learning outcomes will be assessed through a bi-weekly regular assessment of set problems throughout the year (20%), by a closed book written examination 40% of the mark at the end of semester one, and a closed assignment worth 40% of the mark at the end of the year. The marks and feedback for the regular assessments will be returned during seminars before the next assessment, enabling discussions with students on common errors and suggestions for further study. This should permit students to feed-forward their learning experience to the next problem set. Written feedback will be provided to the cohort in class and individually on the exam scripts and on the assignments. Feedback for the exam and assignment will be provided within 20 working days of the date of the assessment.

How will I be supported academically on this module?

In addition to direct contact with the module team during lectures and seminars, you will be encouraged to develop your curiosity by making direct contact with the module team through email or a blackboard discussion forum in which you can actively engage with the staff and student peers in a dynamic learning space enabling you to clarify and resolve issues of concern. You will also be regularly directed to supporting resources including relevant texts, student software downloads and relevant multimedia materials, accessible via eLP. References to these resources will be made available through the e-learning portal and in lectures and seminars.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

Please list below essential key text underpinning the module content and ultimately the learning outcomes:


• Stroud, K.A. (2013), Engineering mathematics, Palgrave.
• Singh, K. (2011), Engineering Mathematics Through Applications, 2nd edition, Palgrave.
https://he.palgrave.com/companion/Singh-Engineering-Mathematics-Through-Applications/
• James, G. (2008), Modern Engineering Mathematics, 4th edition, Prentice Hall
• MathWorks - Learn with MATLAB and Simulink Tutorials

What will I be expected to achieve?

Knowledge & Understanding:

• MLO1 Pose and solve numerical and algebraic problems.
• MLO2 ply trigonometry and basic calculus in land surveying


Intellectual / Professional skills & abilities:

• MLO3 Present statistical data using an appropriate computer tool.
• MLO4 Identify and interpret linear relationships.


Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

• MLO5 Select, analyse and use appropriate mathematical techniques in applied practical contexts.

How will I be assessed?

SUMMATIVE

1. Regular assessment (20%): MLO1, 2, 5
Feedback given to students within 10 working days of the assessment.

2. Examination (40%): MLO1, 2, 5

You will receive feedback in class as a group within 20 working days of the assessment.

3. Assignment (40%): MLO3, 4, 5

Feedback given to students on their exam script within 20 working days of the exam.

FORMATIVE
1. Tutorials and workshops – MLO1, 2, 3, 4, 5

Continuous feedback will be provided on seminar work. This work will include problems designed to aid student understanding

Pre-requisite(s)

NA

Co-requisite(s)

NA

Module abstract

This module deals with learning the mathematical skills required for your programme and future career path. The module is designed to provide content which is delivered by analytical problem solving as well as by using mathematical software and will equip you with the skills to solve challenging problems in later years in the chosen discipline. The context of the problems to be solved will include practical and real life problems from a wide range of engineering applications to demonstrate the relevance of the various mathematical tools taught in the whole year. Teaching methods will include lectures, small group seminars and tutorials where you can interact with your classmates as well as tutors. Regular continuous feedback on your learning will be provided during seminars on line discussions while formal feedback is provided through coursework and final assessment.

Course info

Credits 20

Level of Study Undergraduate

Mode of Study 3 to 5 years part-time, depending on entry qualifications

Department Mechanical and Construction Engineering

Location City Campus, Northumbria University

City Newcastle

Start September 2020

Fee Information

Module Information

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