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Micro- and nano-electronic device design and fabrication technology. Physics of electronic materials. Advanced semiconductor devices. Solar cells design and fabrication. Future trends in nano-electronics. Micro- and nano-fluidics and their applications.
This course will equip you with advanced knowledge of electronic materials and devices, as well as a fundamental understanding of semiconductor device design and processing techniques, in particular solar cell design and fabrication, future trends in bio-nanotechnology and micro-fluidics and an introduction to emerging nanoscale devices. The main areas of study are: (1) micro- and nano-electronic device design and fabrication technologies;(2) physics of electronic materials;(3) advanced semiconductor devices;(4) solar cell design and fabrication;(5) current and future trends in nano-electronics;(6) micro- and nano-fluidics and their device applications.
At the conclusion of this course you should be able to:LO1: Understand the principles of nanotechnology and nanoscience. (WA1)LO2: Appreciate the processing and engineering technologies used in the fabrication of semiconductor micro- and nano-engineered devices and in microfluidic devices. (WA1)LO3: Apply physical science and engineering principles to the design, fabrication and testing of solar cell devices in individual and group settings. (WA1, WA2, WA3, WA4)LO4: Appraise and evaluate current emerging research and applications of semiconductor and microfluidic micro- and nano-devices and associated technologies. (WA2, WA4, WA11)LO5: Communicate investigation outcomes in oral and written form. (WA9)
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
ENEL373 or ENEL372
Students must attend one activity from each section.
Volker Nock
Martin Allen
Folch i Folch, Albert; Introduction to bioMEMS ; CRC Press, 2013.
Geschke, Oliver. , Klank, Henning., Telleman, Pieter; Microsystem engineering of lab-on-a-chip devices ; 2nd rev. and enl. ed; Wiley-VCH, 2008.
Sze, S. M. , Lee, M. K; Semiconductor devices, physics and technology ; 3rd ed; Wiley, 2012.
Scaling of marks:In order to maintain consistency across courses and fairness for students, scaling of raw marks occurs. In the Faculty of Engineering, target course GPAs are calculated based on the performance of the cohort of students in their courses 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.The Grading Scale for the University: https://www.canterbury.ac.nz/study/study-support-info/study-related-topics/grading-scaleArtificial Intelligence Tools:The use of Artificial Intelligence (AI) tools for each of the assessments in ENEL491 is summarised below. No AI use is allowed in the tests and exam because these are closed-book invigilated assessments. Students are always responsible for the accuracy of the submitted works, regardless of which tools are used.Assessment Item and Permitted use of AI Laboratories: Generative AI tools are not restricted for this assessment. Laboratory Report: Generative AI Tools Are Permitted for Certain Parts of This Assessment Assignment: Generative AI Tools Are Permitted for Certain Parts of This Assessment Test: Generative AI tools cannot be used for this assessment. Exam: Generative AI tools cannot be used for this assessment. Generative AI Tools Are Permitted for Certain Parts of This Assessment:In these assessments (Lab Report, Assignment), you are permitted to use generative artificial intelligence (AI) for the purpose of proof reading and editing the document, and for gathering and summarising knowledge. No other use of generative AI is permitted. To assist with maintaining academic integrity, you must appropriately acknowledge any use of generative AI in your work. Please include a Statement of AI use (if no AI tool has been used, then this must also be stated) and a listing of all prompts provided to the AI tool, clearly indicating which AI tools were used and how they contributed to your assessment.
Lateness Penalties:For the Lab Report and Assignment, a lateness penalty of 10% (in absolute terms) per day or part day late will be deducted from the original mark. For example, an assignment with a nominal mark of 83% submitted 0-24 hours late will receive a mark of 73%, and submitted 24-48 hours late will receive 63%.
Contact HoursLectures: 36 hoursTutorials: 0 hoursWorkshops: 0 hoursLaboratories: 9 hours Independent studyReview of lectures: 30 hoursTest and exam preparation: 30 hoursAssignments: 40 hoursTutorial preparation: 0 hoursLaboratory calculations: 5 hours Total 150
Domestic fee $1,344.00
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.
Maximum enrolment is 72
For further information see Electrical and Computer Engineering .