Short Title:Mathematics 5
Full Title:Mathematics 5
Language of Instruction:English
Module Code:MATH H3060
 
Credits: 5
Field of Study:Electronics and automation
Module Delivered in 5 programme(s)
Reviewed By:JAMES WRIGHT
Module Author:PAUL FARRELL
Module Description:The first aim of this course is to reinforce the student’s competence in a range of mathematical techniques to support the analytical content of other modules in the course. The second aim is to enable the student to apply these mathematical techniques to the solution of engineering problems, such as the analysis of system behaviour.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Classify, graph, and formulate signals.
LO2 Do calculations involving signals including trigonometric waves.
LO3 Perform basic differentiation and do calculations involving Gradient, Divergence, and Curl.
LO4 Perform basic integration techniques and use them to solve linear differential equations.
LO5 Find simple Laplace transforms from the definition.
LO6 Find and invert Laplace transforms using a standard table, linearity, and shift theorems.
LO7 Invert a Laplace transform by partial fraction techniques.
LO8 Solve first and second order linear differential equations with constant coefficients using the Laplace transform method.
 

Module Content & Assessment

Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Continuous Assessment Midterm Test 1,2,3,4 15.00 Week 7
Continuous Assessment Key Skills: Note: Key Skills tests examine material first seen in earlier semesters, but which carries over into this semester and is viewed as essential. The tests are run as quizzes in Moodle and have 15 questions each, most of which are multiple choice. The aim is to encourage real competence, so students receive none of the available 15% until they reach the threshold of 10 correct answers on a test. Students receive 6%, 7%, 9%, 10%, or 15% respectively for 10, 11, 12, 13, or 14/15 correct answers. Given the nature of the marking scheme, students are allowed to repeat the test several times during the semester. 1,2,3,4 15.00 Week 12
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 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
Lecture Presentation of course material and problem solving 4.00 Every Week 4.00
Independent Learning Time Student study and problem solving 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
Lecture Presentation of course material and problem solving 4.00 Every Week 4.00
Independent Learning Time Student study and problem solving 3.00 Every Week 3.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
 

Module Resources

Recommended Book Resources
  • Erwin Kreyszig,, Advanced Engineering Mathematics, Textbook and Student Solutions Manual [ISBN: 0-470084847]
  • Glyn James... [et al.], Advanced modern engineering mathematics [ISBN: 0-130454257]
  • Dexter J. Booth,, Engineering Mathematics [ISBN: 1-403942463]
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 5 Mandatory
TA_EAENS_B Bachelor of Engineering (Hons) in Engineering Software 5 Mandatory
TA_EAELE_D Bachelor of Engineering in Electronic Engineering 5 Mandatory
TA_EELEC_D Bachelor of Engineering In Electronic Engineering - Add On Year 1 Mandatory
TA_EAENS_D Bachelor of Engineering in Engineering Software 5 Mandatory