CENG5050 Hardware for Human Machine Interface


Course code CENG5050
Course title Hardware for Human Machine Interface
Course description Low power consumption is an important design concern in modern computing systems. It has direct impact on the battery life of mobile electronic equipment and on the operating speed of computing devices. This course aims at introducing students the basic concepts and modern techniques in designing, modeling and evaluating energy-efficient computing systems. This course will study techniques to improve energy consumption at various design levels. It will also study representative research papers to introduce the state of the art approaches to energy efficient computing.
Advisory: Students are expected to have taken ENGG2020 or ESTR2104 or CENG3420.
Unit(s) 3
Course level Postgraduate
Semester 1 or 2
Grading basis Graded
Grade Descriptors A/A-:  EXCELLENT – exceptionally good performance and far exceeding expectation in all or most of the course learning outcomes; demonstration of superior understanding of the subject matter, the ability to analyze problems and apply extensive knowledge, and skillful use of concepts and materials to derive proper solutions.
B+/B/B-:  GOOD – good performance in all course learning outcomes and exceeding expectation in some of them; demonstration of good understanding of the subject matter and the ability to use proper concepts and materials to solve most of the problems encountered.
C+/C/C-: FAIR – adequate performance and meeting expectation in all course learning outcomes; demonstration of adequate understanding of the subject matter and the ability to solve simple problems.
D+/D: MARGINAL – performance barely meets the expectation in the essential course learning outcomes; demonstration of partial understanding of the subject matter and the ability to solve simple problems.
F: FAILURE – performance does not meet the expectation in the essential course learning outcomes; demonstration of serious deficiencies and the need to retake the course.
Learning outcomes At the end of the course of studies, students will have acquired the ability to
1. select suitable sensors for a human machine interface system;
2. build a reliable signal capturing system;
3. understand the basic capture and signal processing algorithms for human machine interface signals.
(for reference only)
Lab reports:50%
Selected response test or exam:50%
Recommended Reading List 1. A.C. Fischer-Cripps, Newnes Interfacing Companion: Computers, Transducers, Instrumentation and Signal Processing, .Newnes, Great Britain, 2002
2. Andrea De Marcellis , Giuseppe Ferri, Analog Circuits and Systems for Voltage-Mode and Current-Mode Sensor Interfacing Applications (Analog Circuits and Signal Processing), Springer Dordrecht Heidelberg, London New York, 2011


CENGN programme learning outcomes Course mapping
Upon completion of their studies, students will be able to:  
1. identify, formulate, and solve computer engineering problems (K/S); T
2. design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs (K/S);
3. receive the broad education necessary to understand the impact of computer engineering solutions in a global and societal context (K/V);
4. communicate effectively (S/V);
5. succeed in research or industry related to computer engineering (K/S/V);
6. have solid knowledge in computer engineering, including programming techniques, circuit design, micro-system prototyping, solid state device development, algorithms and theory, etc. (K/S); TP
7. integrate well into and contribute to the local society and the global community related to computer engineering (K/S/V);
8. practise high standard of professional ethics (V);
9. draw on and integrate knowledge from many related areas (K/S/V);
Remarks: K = Knowledge outcomes; S = Skills outcomes; V = Values and attitude outcomes; T = Teach; P = Practice; M = Measured