In addition, students are expected to complete a self-study project that will expose them to the most recent advances in adaptive control theory. Students who opt to read MSc (Electrical Engineering) with a specialisation will be required to fulfil the following requirements: Specialisation in Automation and Control Engineering. Students will also learn about the history of the personal computer, as well as its current and future trends. Solid state physics: crystal lattices, band theory, lattice vibration, the Fermi-Dirac distribution function and Fermi level, donor and acceptor states and carrier concentrations. IT in education, management, law and government. EE4218 Embedded Hardware System Design or equivalent. This module aims to give a balanced treatment on the use of statistical signal processing and estimation theory techniques for engineering applications in communications, filtering and array processing. The module builds on the foundation laid by the module EE 5402 RF Circuit Design I. Both the Via project work, students will consolidate the topics covered in class with hands-on experience in modeling, simulating and controlling real systems. The course introduces students to the conduct of rigorous research in interactive system design. This module is supplementary for the general area of communication systems. Multiplexing and multiple access. This module covers the application of reliability theory in modelling techniques and evaluation methodologies to power systems. Some of the circuits will be integrated into a bigger system (e.g., an autonomous vehicle), culminating in a competition for all students. This module offers an introduction to the fundamental principles and components of optical communication systems. If you’re going into EE, please feel free to … Thus it is designed for electrical engineering students to experience an integrated learning of innovation and enterprise pertaining to new product development where technology plays a central role. © Copyright 2001- The aim of the course is for students to develop an in-depth understanding of the fundamentals of robotics at an advanced level. Application of statistical decision theory to optimum receiver design for Gaussian channels. This module covers the phenomena and mechanisms of breakdown of gases, liquids and solids as used in electrical insulating materials. Students will first learn about the device characterizations, such as diode, LED, solar cell, transistor, operational amplifiers, etc. Electrical stress failures: electromigration and ESD/EOS. This course introduces the fundamentals of medical instrumentation systems, and bio-signal processing. Address 4 Engineering Drive 3 Block E4, #05-42 Singapore 117583 National University of Singapore The topics covered are: discrete system analysis; pole-placement design, basic predictive control, digital PID controllers; implementation issues (sampling theorem, aliasing, discretisation errors) and real-time realisation using system control software such as Matlab and Labview. document.write(da.getFullYear()); quality of physical comfort. This course introduces students to the fundamental principles and concepts of computer communication networks. Hello Jane. Switching circuits design and protection circuits. Application of statistical decision theory to optimum receiver design for Gaussian channels. Finally the complete communication system is assembled and measured. Students will be required to complete a minimum of 120 MCs of modules as listed below.) At the end of this module, students will gain a basic understanding of the various failure/reliability issues in silicon devices. This module is suited for all non-engineering students as well as first year engineering students. Finally, we briefly cover selected current research topics in underwater networking including higher layer protocols and cross-layer optimization. This module provides students with the working knowledge of various components of an electrical drive system and their control for efficient energy conversion. The NUS Computer Engineering programme is holistic and comprehensive. //--> The course aims to provide an in-depth coverage of adaptive control concepts and design methods. The fundamental theory of conventional antenna arrays is covered in the first part. The student will carry out a home experiment of his or her choice in electricity and magnetism. This module provides an introduction to signal processing methods. This course provides an in-depth treatment of the fundamental principles and concepts of computer communication networks. This module provides students with an understanding of the fundamentals and design of satellite communication systems. It is possible to map modules which are not available at NUS. At the end of this module, the students will gain knowledge of optics and laser basics, and the technologies based on optical and laser engineering. After completing this module, students must be able to translate system specifications into executable computation models using a high level specification language and map these formal specifications into a register-transfer level hardware description language (HDL) that can be implemented on an FPGA. It does this primarily by using an experimental and historical approach. The NUS Computer Engineering programme equips engineers with the skills of software engineering combined with systems thinking. Topics covered: Si/SiGe mixed-signal IC technologies; RF behaviour of passive and active components; Balanced and unbalanced design principles; Design of analogue RF transceivers: amplifiers, mixers, buffers, oscillators; Grounding and decoupling principles; Interconnect modelling and crosstalk; Introduced digital noise; Thermal management; Packaging. They will be equipped with useful practical skills at the end of this course. GRADUATE MODULES: For information regarding the offering semester of graduate modules , please refer to https://www.ece.nus.edu.sg/education/graduate/module_listing.html, In addition to below, for more information regarding the modules, please try checking using the IVLE website The objectives of this module are to present the theoretical foundations of real-time systems and to discuss the practical aspects of their implementation. Experiments on optical heterodyning, liquid crystal modulation and characteristics of semiconductor lasers and LEDs are included for practical hands-on experience. It focuses on fundamental principles and circuits in bio-signal processing and low-power biomedical systems. 1 February 2019: - CG3002 (6MCs) will be last offered in sem 1, AY19/20. This module will cover sensors, instrumentation and control systems commonly used in the industry. EE5302 (Applicable to undergraduate students only). Selected papers on most recent research progress will be discussed. Topics covered: review of design concepts. Radio and microwave systems need to be immune from external EM interference and need to ensure that they do not cause interference of their own. Computational models of biological perception are used increasingly in multimedia, computer vision, robotics, computer-human interaction, and biological signal processing. Analysis and design of coded systems. The following areas will be covered: basic principles of recording and reproducing process in magnetic storage and optical storage; essential components of a data storage system; role of mechantronics and control in data storage systems; role of channel components in improving the reliability of readback data; basics of partial response channel and Viterbi detection; basics of error correction and modulation coding; types of interface. This module has direct industrial relevance and would be useful not only to electrical but also to mechanical engineering students working in the areas of automation and mechatronics. It is also very useful for those who are interested in signal processing and computer engineering. of hours for preparatory work by a student per week, For description on undergraduate modules, please refer to our webpage at https://www.ece.nus.edu.sg/education/undergraduate/ee/Modules.html, Description of modules can also be viewed/search on the NUS bulletin, Registrar's webpage at http://www.nus.edu.sg/registrar/nusbulletin/modulesearch.html. We pride ourselves on offering the strongest technical foundation in computing available at any school in the country. Students would be taught the basic principle of operation of variable speed DC and AC Drive systems. In this module, we introduce the anatomy and physiology of the visual and auditory systems as well as their psychophysical characterizations. Practical issues in modeling, including instrument calibration, model structure selection, data collection configuration, selection of test signals and model validation will also be duly covered. This module is targeted at those electrical engineering students who have interests in IC design. The emphasis of this course is on advanced measurement and characterization principles, instrumentation, data acquisition, models for data analysis, and data interpretation applied to characterization problems encountered in the research and development of advanced and emerging research materials and devices. Concepts of real time operating systems are covered as are the practical implementation of embedded systems and firmware. To this end, the module covers the basic concepts of fiber optics, data modulation in optical fiber channels, management of fiber degrading effects, and wavelength division multiplexing. EE5001. "; etc. School of Electrical and Electronic Engineering . Students will be assessed through assignments, test and a final examination. I’m curious as to why you would enquire on two separate courses from two universities (edit - you probably did Mechatronics). EE6439 Micro/Nano Electromechanical Systems (M/NEMS) (Advanced), EE5520 Micro/Nanoelectromechanical Systems (M/NEMS). Total Modules: 9. Recent Advances in sensors such as smart sensors and microsensors will be highlighted. This lab module introduces students to the practical aspects of designing a communication system. Radio wave propagation and multipath fading. © Copyright 2001- In this module, students will do a research project over two semesters on a topic of current interest in Electrical and Computer Engineering. Various topics to be covered are: Advanced power flow analysis; Power flow equation and solution techniques; Optimal power flow; Economic dispatch; Introduction to power system state estimation; Least square state estimation and Introduction to power system controls and stability analysis. Students will appreciate the concepts of models and model structures, the ways to obtain them and their applications. This module therefore teaches the design of these components to satisfy performance specifications. Some applications to pattern recognition, function mapping, sensor fusion, obstacle avoidance and learning in robotic systems are also presented. EE5702 / EE5702R Advanced Power Systems Analysis. Mathematics 1, 2 & 3. Modules Requirements: MCs: Core Modules * 90: CG1001 Introduction to Computer Engineering: 2: CG1108 Electrical Engineering: 4: CG2023 Signals & Systems: 4: CG2271 Real-time Operating Systems: 4: CG3207 Computer Architecture: 4: CS1010 Programming Methodology: 4: CS1020 Data Structures and Algorithms I: 4: CS1231 Discrete Structures: 4 Applicable to M.Sc(Elect Eng) students only. This module introduces students to the important area of signal processing and communications, which are two major areas in electrical engineering and in our daily lives. It deals with how the electric energy At the end of this module, students will be able to explain many physical phenomena in everyday life, such as electricity energy transmission, wave reflection/transmission, and the impact of skin depth on wave propagation. It begins with an overview of current wireless systems and standards, followed by a characterization of the wireless channel, including path loss, shadowing, and the flat vs. frequency-selective properties of multipath fading. This course examines how this all came about, how it works and what the future of wireless communications holds. By the end of this module, students are expected to be able to identify important and current vision problems, read and understand research papers in the area, and lead discussions on related topics. It provides the necessary fundamentals in power systems analysis. (c) The ecological computer: Preserving the environment. Major topics covered include electrostatic actuation and capacitive sensing, piezoelectric actuation and sensing, thermal actuation and sensing, optical MEMS devices and nanophotonics, CMOS MEMS devices, inertial sensors, RF MEMS devices, resonators and clocking, NEMS sensors, energy harvesters, and packaging technology. Apart from intrinsic rewards such as the pleasure of problem solving, students are able to acquire skills for independent and lifelong learning. Radio and microwave systems rely on efficient transmission and distribution of electromagnetic (EM) energy. CG1112 Engineering Principles and Practice II (Computer Engineering) 6. This module covers both classical topics and current techniques in multivariable control system design. Advanced Topics on Vision and Machine Learning. These will be of a sufficient size and nature to induce excitement in independent projects for students to explore. Part Two introduces some important nonlinear control design methods, such as feedback linearization, backstepping, sliding mode, adaptive and intelligent controls. Maximum class size 20. Electrical and Computer Engineering. LED, semiconductor laser and photodetector device structure and operational characteristics. Total MCs = 160 # 3 : RVRC students may read GEQ1917 Understanding & Critiquing Sustainability as fulfilling the "Asking Questions" pillar. Established evolutionary paradigms as well as, significant new developments, including evolutionary algorithms, evolutionary strategies, evolving neural networks, ant-colony optimisation, artificial immune systems, and swarm intelligence will be covered. The graduates are as such well equipped to contribute not only towards developing products but to also contribute towards the design … The course will cover Bayesian statistics and emphasizes the powerful formalism of graphical models. I took an electrical engineering module at NUS for a semester while I was in high school. , to schedule a set of tasks such that they have read the prerequisite module s! Interconnection, and the issues related to dopant introduction, thin film, pattern transfer and layer. 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