XMUT 203 (2026) - Home Page
Course Outlines
This course introduces electrical circuit analysis. Topics covered include circuit theorems, operational amplifiers circuits. It also introduces the Laplace transform as an analysis tool.
Course learning objectives
Students who pass this course should be able to:
* Use a range of circuit analysis techniques to find unknown voltages and currents (BE graduate attribute 3(a))
* Apply the basic concepts of feedback to amplifier circuits (BE graduate attribute 3(a))
* Calculate common Laplace transforms from first principles and by using a table of common transforms and properties (BE graduate attribute 3(a))
* Produce mathematical models of electronic circuits and electromechanical systems and apply Laplace theory to the analysis of electronic circuits, electromechanical systems and communication systems (BE graduate attribute 3(c)) and 3(b))
* Use software such as the LTspice to solve problems in linear systems and signals (BE graduate attribute 3(f)).
Staff
*
Huang Junqi (XMUT co-teacher)
During the trimester lectures will be held on Tuesdays 8:20am to 9:55am (weekly) and Thursdays 8:20am to 9:55am (odd weeks); as well as a 2-hour Lab each week, for 16 weeks. Please see your individual timetable for the schedule of the Lab Sessions.
Workload
In order to maintain satisfactory progress in ECEN 203, you should plan to spend an average of 10 hours per week on this paper. A plausible and approximate breakdown for these hours would be:
* Lectures and tutorials: 4
* Readings: 1
* Assignments or Labs: 3
* Practice questions: 2
Textbook
There is no required textbook for ECEN 203; however, supplemental reading of a relevant textbook to complement lectures, assignments, and tests is strongly encouraged.
Course notes will also be available to complement lectures, but are generally not sufficient to replace them.
* Nilsson & Riedel, Electric Circuits, 9th Edition
* Hayt, Kemmerly & Durbin, Engineering Circuit Analysis, 8th Edition
* Alexander & Sadiku, Fundamentals of Electric Circuits, 5th Edition
Assessments
Your grade for the course will be based on a combined mark for the homework, labs, test, and final exam:
Note: there will be 4 Lab sessions but only 2 of these will be marked.
| Item |
Weight |
|---|
| 4 Homework (5% each) |
20% |
| 4 Labs (2 to be marked, 5% each) |
10% |
| Mid term test (covers Week 1 to 8) |
30% |
| Final Examinations (covers Week 9 to 16) |
30% |
| Attendance and participation in classes and laboratories |
10% |
Note:
Resit exam will cover everything from Week 1 to Week 16.
Working Together.
We encourage you to discuss the exercises together. However, you must submit the work and reports on your own, i.e.
do not copy from whoever you have discussed with.
Make sure you read the section on plagiarism below.
Academic Integrity and Plagiarism.
Academic integrity means that university staff and students, in their teaching and learning are expected to treat others honestly, fairly and with respect at all times. It is not acceptable to mistreat academic, intellectual or creative work that has been done by other people by representing it as your own original work.
Academic integrity is important because it is the core value on which the University's learning, teaching and research activities are based. The University's reputation for academic integrity adds value to your qualification.
Plagiarism is presenting someone else's work as if it were your own, whether you mean to or not. "Someone else's work" means anything that is not your own idea. Even if it is presented in your own style, you must acknowledge your sources fully and appropriately. This includes:
• Material from books, journals or any other printed source
• The work of other students or staff
• Information from the internet
• Software programs and other electronic material
• Designs and ideas
• The organisation or structuring of any such material
Notes
The following notes are intended to help students and staff understand what is and is not acceptable under this policy and what happens when plagiarism is suspected.
You should always properly cite any work of others that you are including in work that you submit. Some guidelines on how to do this will be found at the end of this document.
When you use someone else's work in an assignment you should be certain that you are making appropriate use of that work. While citing the work may avoid any question of plagiarism, failure to do the work yourself may mean that the submitted work fails to meet some or all of the requirements of a particular assignment. If in doubt ask your lecturer.
Do not lend your work to others. If someone submits work that is the same as or very similar to yours you should expect to be asked to explain and, if the explanation is not satisfactory, to be penalised.
If you are ever in doubt as to whether some action you have taken may be considered as plagiarism, you should consult your lecturer and/or clearly state on the submitted work the extent of the contribution from others.
Plagiarism and Code
If you are completing a programming project, you may be allowed to use code segments from a software library on the web, from model solutions in previous courses you have taken, or even from other students. If you do this, you must clearly indicate all of the code that has come from another source, and state the source.
Unless your course requirements state otherwise, you are not required to cite algorithms, data structures or source code provided with the assignment or from lecture notes.
If you are in doubt about the use of code that you have not written yourself you should check with your lecturer before submitting the program. If you have had help from someone else (other than a tutor), it is always safe to state the help that you got. For example, if you had help from someone else in writing a component of your code, it is not plagiarism as long as you state (eg, as a comment in the code) who helped you in writing the method.
