ENGSCI 313 : Mathematical Modelling 3ECE

Engineering

2024 Semester One (1243) (15 POINTS)

Course Prescription

Complex Analysis, including complex numbers, analytic functions, complex integration, Cauchy's theorem, Laurent series, residue theory; Laplace transforms; Modelling with partial differential equations, including electronic and electrical applications; Fourier Analysis, Fourier transform, Fast Fourier transform; Optimisation, including unconstrained and constrained models, linear programming and nonlinear optimisation.

Course Overview

This course focuses on core mathematical modelling competence for Electrical Engineers. It is delivered in a traditional lecture setting, with regular assignments to assess lecture material, as well as invigilated tests and a final exam.

Course Requirements

Prerequisite: ENGSCI 211 Restriction: ENGSCI 311, 314

Capabilities Developed in this Course

Capability 3: Knowledge and Practice
Capability 4: Critical Thinking

Learning Outcomes

By the end of this course, students will be able to:
  1. Understand complex numbers; can differentiate complex functions; has knowledge of the complex exponential function; understand the residue theorem; can apply complex theory to problems involving phasors; is aware of numerous applications of complex analysis; understands the z-transform; can apply the z-transform to solve problems involving digital filters. (Capability 3.1, 3.2, 4.1 and 4.2)
  2. Model with differential equations: The student should have application skills in relation to initial conditions, knowledge in relation to Laplace's equation, and analysis skills in relation to mathematical modelling. The student should have application skills in relation to the method of undetermined coefficients, comprehension in relation to modes of vibration and application skills in relation to natural frequency. The student should have application skills in relation to ordinary differential equations, application skills in relation to partial differential equations and comprehension in relation to the concept of steady state. (Capability 3.1, 3.2, 4.1 and 4.2)
  3. Understand the Fourier Series, Complex Fourier Series and the Fourier Transform. The student can apply Fourier Series, Complex Fourier Series Fourier Transform theory to analyse signals and solve some signal processing problems. (Capability 3.1, 3.2, 4.1 and 4.2)
  4. Understand basic optimisation theory; the student can apply this theory to solve optimisation problems in a range of applications. (Capability 3.1, 3.2, 4.1 and 4.2)

Assessments

Assessment Type Percentage Classification
Final Exam 60% Individual Examination
Assignments 30% Individual Coursework
Test 10% Individual Test
Assessment Type Learning Outcome Addressed
1 2 3 4
Final Exam
Assignments
Test

Workload Expectations

This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.

For this course, each week you can expect 3 hours of lectures, 1 tutorial hour, 3 hours of reading and thinking about the content, and 3 hours of work on assignments and/or test preparation.

Delivery Mode

Campus Experience

Lectures will be available as recordings.
The course will not include live online events.
Attendance on campus is required for the test.
The activities for the course are scheduled as a standard weekly timetable.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Health & Safety

Students are expected to adhere to the guidelines outlined in the Health and Safety section of the Engineering Undergraduate Handbook.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

The course content continues to be updated as areas for improvement are identified.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed for potential plagiarism or other forms of academic misconduct, using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.

Published on 14/11/2023 09:12 a.m.