The aim of the module is to develop further students' mathematical and statistical skills and reasoning and to enable them to apply these skills to engineering applications.
Learning Outcomes
On successful completion of this module the learner will be able to:
#
Learning Outcome Description
LO1
Describe basic concepts in statistics.
LO2
Apply statistical skills to explore data numerically and graphically.
LO3
Calculate probabilities.
LO4
Interpret and apply probability distribution functions to appropriate experiments.
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
Statistics (15 hours lectures)
(a) Calculations of the correlation coefficient, rank order correlation coefficient and the regression line equation. Plotting scatter points and the regression line, Interpolating and extrapolating using the equation and or the regression line. Using Excel to generate regression lines and correlation data.
(b) Draw and interpret the shape of histograms, ogives and boxplots. Calculate and interpret the variance and standard deviation.
Probability (21 hours lectures)
(a) Use the laws of probability. Interpret contingency tables. Calculate conditional probability. (b) Describe Normal, Binomial and Poisson distributions and determine probabilities for appropriate experiments/events using them as an appropriate model.
Module Content & Assessment
Assessment Breakdown
%
Continuous Assessment
40.00%
End of Module Formal Examination
60.00%
Assessments
Full Time
Continuous Assessment
Assessment Type
Short Answer Questions
% of Total Mark
20
Timing
n/a
Learning Outcomes
1,2,3,4
Non-marked
No
Assessment Description Short answer homework questions and supporting videos that enable students to practice and consolidate mathematical concepts
Assessment Type
Examination
% of Total Mark
20
Timing
n/a
Learning Outcomes
1,2,3,4
Non-marked
No
Assessment Description 2 x Class examinations covering questions from the material covered.
No Project
No Practical
End of Module Formal Examination
Assessment Type
Formal Exam
% of Total Mark
60
Timing
End-of-Semester
Learning Outcomes
1,2,3,4
Non-marked
No
Assessment Description No Description
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
Every Week
3.00
3
Estimated Learner Hours
Non Contact
No Description
Every Week
3.00
3
Total Weekly Contact Hours
3.00
Module Resources
Recommended Book Resources
K. A. Stroud; with additions by Dexter J. Booth. (2001), Engineering mathematics, Palgrave, Basingstoke, [ISBN: 1137031204].
K A Stroud. Advanced Engineering Mathematics, Palgrave Macmillan, p.1136, [ISBN: 9780831134499].
John O. Bird, A.J.C. May. Technicians Mathematics, Longman, p.136, [ISBN: 0582415764].
This module does not have any article/paper resources