Short Title:Mathematics 3
Full Title:Mathematics 3
Language of Instruction:English
Module Code:MATH H2065
 
Credits: 5
Field of Study:Electronics and automation
Module Delivered in 5 programme(s)
Reviewed By:JAMES WRIGHT
Module Author:PAUL FARRELL
Module Description:This subject aims to equip the student with the skills to apply probability theory and statistical distributions to Electronic Engineering problems. It also introduces Maclaurin, Taylor and Fourier series and Differential Equations.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Apply probability theory to problems in reliability engineering, sampling inspection, conformance to specification and failure times.
LO2 Apply the Binomial, Poisson and Exponential Distribution to Problems in engineering
LO3 Use Integration and Differentiation to calculate Probability Density Functions and CDFs
LO4 Calculate probabilities using integration
LO5 Use integration to Calculate the average value of a function
LO6 Graph polynomials
LO7 Graph Piecewise constant periodic functions
LO8 Use differentiation to Calculate Maclaurin Polynomials
LO9 Use differentiation to Calculate Taylor Polynomials
LO10 Use integration to Calculate Fourier series
LO11 Use Integration to solve separable first order Ordinary Differential Equations
 

Module Content & Assessment

Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Continuous Assessment Midterm Test 1,2,3,4 30.00 Week 7
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam End-of-Semester Final Examination 1,2,3,4,5,6,7,8,9,10,11 70.00 End-of-Semester

TU Dublin – Tallaght Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecturer/Lab Class based instruction 4.00 Every Week 4.00
Independent Learning Time study by student 3.00 Every Week 3.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecturer/Lab Class based instruction 3.00 Every Week 3.00
Independent Learning Time student study 4.00 Every Week 4.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 

Module Resources

Required Book Resources
  • James Reilly, 2006, Using Statistics, Gill and Macmillan [ISBN: 978-0717140220]
  • Dr. Anthony Croft, Robert Davidson, Martin Hargreaves and James Flint 2012, Engineering Mathematics: A Foundation for Electronic, Electrical, Communications and Systems Engineers, 4th Ed., Pearson Education Limited [ISBN: 978 0 273 719779]
Recommended Book Resources
  • Reilly, J. 1997, Understanding Statistics, Folens
This module does not have any article/paper resources
This module does not have any other resources
 

Module Delivered in

Programme Code Programme Semester Delivery
TA_EAELE_B Bachelor Degree in Engineering (Honours) in Electronic Engineering 3 Mandatory
TA_EAENS_B Bachelor of Engineering (Hons) in Engineering Software 3 Mandatory
TA_EAELE_D Bachelor of Engineering in Electronic Engineering 3 Mandatory
TA_EAENS_D Bachelor of Engineering in Engineering Software 3 Mandatory
TA_EELEC_C Higher Certificate in Engineering in Electronic Engineering 3 Mandatory