Module Details

Module Code: MATH C2502
Module Title: Mathematics and Statistics II
Title: Mathematics and Statistics II
Module Level:: 7
Credits:: 5
Module Coordinator: Eoin Homan
Module Author:: Ciara Fitzpatrick
Domains:  
Module Description: The aim of the module is to develop students' mathematical and statistical skills and reasoning so that they can apply these skills to engineering applications.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Use vector methods to solve simple problems involving forces and motion.
LO2 Use Gaussian elimination to solve sets of linear equations.
LO3 Assess the reliability of estimates of means from sample data.
LO4 Construct and interpret hypothesis tests for sample data.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Probability and statistics
(a) Review of the normal distribution probabilities (b) Sampling and sampling distributions (c) Confidence intervals and confidence limits for the mean (b) Hypothesis tests for the mean and the difference between two means (e) Chi-square goodness-of-fit test.
Introduction to vectors
(a) Definition of vectors and scalars (b) Vector algebra (c) Cartesian component vectors (d) Applications involving forces and motion.
Matrix methods
(a) Review of matrix algebra (b) Solving systems of linear equations using Gaussian and Gauss-Jordan elimination (d) Engineering applications.
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment50.00%
End of Module Formal Examination50.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Short Answer Questions % of Total Mark 20
Timing Ongoing Learning Outcomes 1,2,3,4
Non-marked No
Assessment Description
Quiz questions
Assessment Type Examination % of Total Mark 15
Timing Week 6 Learning Outcomes 1,2
Non-marked No
Assessment Description
Class test
Assessment Type Examination % of Total Mark 15
Timing Week 11 Learning Outcomes 3,4
Non-marked No
Assessment Description
Class test
No Project
No Practical
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 50
Timing End-of-Semester Learning Outcomes 1,2,3,4
Non-marked No
Assessment Description
End of module examination
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact No Description 12 Weeks per Stage 4.00 48
Estimated Learner Hours Non Contact No Description 15 Weeks per Stage 6.00 90
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • J. O. Bird. (2021), Bird's Higher Engineering Mathematics, 8th. Routledge, p.916, [ISBN: 9780367643737].
Supplementary Book Resources
  • N. T. Kottegoda,R. Rosso. (2008), Applied Statistics for Civil and Environmental Engineers, Wiley-Blackwell, p.736, [ISBN: 9781405179171].
This module does not have any article/paper resources
Other Resources
Discussion Note: