EEEN 220Signals, Systems and Statistics 1
The course introduces analysis techniques for signals and linear time-invariant systems as well as fundamentals of engineering statistics. The first part of the course focuses on continuous time signals and systems and Fourier transform techniques, with applications to circuit analysis and communication systems. The second part of the course introduces probability mass and density functions, random variables and functions of random variables.
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Course details
- Dates
- 7 Jul 2025 to 9 Nov 2025
- Starts
- Trimester 2
- Fees
- NZ$1,197.60 for
- International fees
- NZ$5,477.70
- Lecture start times
- Tuesday 1.10pm
- Thursday 1.10pm
- Friday 1.10pm
- Campus
- Kelburn
- Estimated workload
- Approximately 150 hours or 8.8 hours per week for 17 weeks
- Points
- 15
Entry restrictions
Taught by
School of Engineering and Computer Science—Faculty of Engineering
About this course
We’ve designed this course for in-person study, and to get the most of out it we strongly recommend you attend lectures on campus. Most assessment items, as well as tutorials/seminars/labs/workshops will only be available in person. Any exceptions for in-person attendance for assessment will be looked at on a case-by-case basis in exceptional circumstances, e.g., through disability services or by approval by the course coordinator.
Course learning objectives
Students who pass this course should be able to:
Analyse continuous-time signals and linear time-invariant systems. (BE graduate attribute 3(a)).
Derive continuous-time Fourier transforms and use them in the characterisation of systems and signals (BE graduate attribute 3(a), 3(c)).
Use random variables to model observations in engineering applications. (BE graduate attribute 3(a), 3(c)).
Select an appropriate standard family of probability mass or density functions for a task, and estimate its parameters (BE graduate attribute 3(a), 3(c)).
Use an appropriate programming language to solve problems in statistics, linear systems and signals encountered by engineers (BE graduate attributes 3(f)).
How this course is taught
This course requires attendance for some of its activities, for which there are no online alternatives, in particular labs.
Tests and Exams will require in-person attendance.
Assessment
- 4 laboratories Type: IndividualMark: 20%
- 2 tests Mark: 40%
- 2 Assignments Type: IndividualMark: 40%
Assessment dates and extensions
Once you've signed up to this course, you can use to see due dates for assessments and information about extensions.
Mandatory requirements
Find out what you must do to pass this course.
In addition to achieving an overall pass mark of at least 50% students must:
- Achieve an average of 40% in the two tests.
If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the course coordinator for advice as soon as possible.
Lecture times and rooms
What you’ll need to get
You do not need to get any texts or equipment for this course.
Who to contact
Selected offering
EEEN 220
7 Jul–9 Nov 2025
Trimester 2 · CRN 33057