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Embedded Systems is the study of specialised computer hardware, such as microcontrollers, programmed to perform a series of tasks, typically using a high-level language such as C, and targeted towards dedicated applications.
ENCE260
Please note that the 2026 timetable has not been finalised.
Scheduled days and times will be confirmed, following review, on 15th October.
Students must attend one activity from each section.
C. Noviello; Mastering STM32 ; 2nd; 2024.
Lacamera, Daniele; Embedded systems architecture : explore architectural concepts, pragmatic design patterns, and best practices to produce robust system ; Packt, 2018.
P. Warden and D. Situnayake; TinyML: Machine Learning with TensorFlowLite on Arduino and Ultra-Low-Power Microcontrollers ; O'Reilly, 2020.
Simon, David E; An embedded software primer ; Addison Wesley, 1999.
White, Elecia; Making embedded systems : design patterns for great software ; O'Reilly Media, 2012.
Yiu, Joseph; The definitive guide to ARM® Cortex®-M3 and Cortex-M4 processors ; Third edition; Elsevier, Newnes, 2014.
AI Policy:Project: Generative AI Tools are Permitted In this assessment, you are permitted to use generative artificial intelligence (GenAI). To assist with maintaining academic integrity, you must appropriately acknowledge any use of GenAI in your work. Please include a statement of acknowledgement/declaration in your final report, clearly indicating which AI tools were used and how they contributed to your work.Test/Exam: Generative AI Tools Cannot Be Used for This Assessment In this assessment, you are strictly prohibited from using GenAI to generate any materials or content related to the assessment. This is because they are closed-book and invigilated assessments. The use of AI-generated content is not permitted and may be considered a breach of academic integrity. Please ensure that all work submitted is the result of your own human knowledge, skills, and efforts.Scaling of Marks: To maintain consistency across the courses and fairness for students, scaling occurs. In the Faculty of Engineering, target course GPAs are calculated based on the performance of the cohort of students taking the course in the previous year. Scaling of the raw total course marks is normally performed so that when converted to grades (using UC Grade Scale) the outgoing GPA is in line with the target GPA for a course. Scaling up or down can occur. Grading Scale for the University: https://www.canterbury.ac.nz/study/study-support-info/study-related-topics/grading-scale.
Contact HoursLectures: 36 hoursTutorials: 0 hoursWorkshops: 0 hoursLaboratories: 40 hours Independent studyReview of lectures: 30 hoursTest and exam preparation: 32 hoursAssignments: 0 hoursTutorial preparation: 0 hoursLaboratory calculations: 12 hours Total 150
Domestic fee $1,190.00
International fee $6,488.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Electrical and Computer Engineering .