This specialised module is recommended for graduate students specialising in microwave/RF theory and techniques. In the second part, the latest developments and techniques in multi-antenna communications are described, such as smart antenna technology, MIMO communication technique, adaptive array beamforming, etc. Undergraduate knowledge in Electric Drives, e.g. The focus of this module will be on the antenna array as a realization method to enable multi-antenna communications. Advanced Topics on Vision and Machine Learning. Case studies of various engineering control problems will be used to provide insights and useful design guideline. © Copyright 2001- Students will also learn, through hands-on practice, to use various test and measurement instruments, including a vector network analyser and a powerful circuit design software (HP Advanced Design System). This module provides students with an understanding of the fundamentals and design of satellite communication systems. Soft decoding and hard decoding. This course deals with the design and analysis of high performance computer architectures with respect to several aspects of the multiple computer systems. Under this system, workloads are expressed in terms of Modular Credits (MCs), and academic performance is measured by grade points on a 5-point scale. Case studies and some of behavioral research will be given to enhance the capability of interdisciplinary research. Course Fees. This module is intended for graduate students and engineers interested in learning about neural networks and using them to solve real world problems. Several industrial cases involving advanced sensing and sensory control will be discussed. Key problem domains such as multi-objective scheduling, optimisation, search, and design will be examined. The second aim is to provide a detailed treatment of modern codes such as Turbo codes, low density parity check codes, polar codes and iterative decoding. This module forms one of the foundation modules for all students who want to specialise in Electric Energy System Engineering. Computing exists anywhere and in any field. The distinguishing feature about this module is the engineering emphasis on the coupled relationship between wireless and sensor network protocols and the underlying physical layer and energy considerations. It also stresses the understanding of the mixed-signal circuit design from the system level perspectives. Applicants who are interested in the Graduate Certificate or modules within the Graduate Certificate must submit their applications via the NUS Online Application Portal. MODULE REGISTRATION FOR GRADUATE STUDENTS The following information is prepared for ECE Research (PhD, MEng) and Coursework (MSc) students. Where pre-requisites are specified, equivalent modules will also be accepted. This module is supplementary for the general area of communication systems. In this module, we will discuss selected papers on current research in this area, with topics covering neuronal and psychophysical models of perception, the use of psychophysics to guide the solution of computer vision problems, and perceptually driven applications in digital media. The importance of using Adjustable Speed Drives for energy conservation would also be highlighted. This module will make the student aware of the fundamental considerations needed to design advanced high frequency power electronic converters in an industrial environment. The fundamental design principles of each layer are presented. This is represented as follows: Modules with no assigned MCs or grade points are excluded from the calculation of CAP. We also study the unique characteristics of the underwater channel and their effect on medium-access control (MAC) and other data-link layer protocol design. At the end of the course, students are expected to have an overall understanding of how to pick, judge, and conduct research in interactive system design. The objective of this module is to provide students the theory and concept of multi-antenna communications. The QE consists of two parts: the written and oral QEs. Applicable to M.Sc(Elect Eng) students only. In general, MA5401 and QF5401 are 4 MC modules which require students to perform a minimum of 20 hours per week structured internship in an approved company/institution for stipulated minimum period of 6 weeks while MA5402 is a 8 MC modules … The topics covered are as follows: Quantum mechanics: Schrodinger equation, particle in a box, tunnelling effect, harmonic oscillator, time-independent perturbation theory. In particular, students will learn about mobile radio channel modelling, modulation techniques, cellular system concepts, equalisation, diversity and channel coding, speech coding, and multiple access techniques. CS/CU modules are typically industrial attachment, internship or enrichment modules. # Exclusion of CFG1002 from limit on Level-1000 modules is applicable to: BIZ, FASS, FoS, SoC, SDE, and FoE students from Cohort AY2016/17 onwards. It then covers the issues of scheduling and quality of service in optical burst switching (OBS) and architectural and technological issues in optical packet switching (OPS) networks. This is a project-based module. of lecture hours per week Various devices making use of electrical, optical, and magnetic properties of different materials will be covered. NUS has launched the “Resilience & Growth Initiative” to future-proof the Class of 2020. This course provides students with fundamental concepts, principles and theory for the analysis, design and measurement of antennas such as wire, aperture and microstrip and slot antennas. The concepts underlying adaptive control schemes, such as Lyapunov-based direct adaptive control scheme, self-tuning regulator and model reference adaptive control, will be studied in detail. Using examples from the Asia-Pacific, the module explores tourism initiatives at the governmental level, comparing them with the efforts by NGOs and other … Basic concepts and principles of system optimality with applications to control and state estimation will be taught in the module. The description of graduate modules offered by the Department of Electrical and Computer Engineering are listed below. This course covers: radiometry, texture, feature matching, segmentation, and image/video editing. Interactive System Design Research Methods (Advanced). The fabrication processes discussed are those which the students are likely to encounter in their research work. Withdrawn (W) For a module that extends beyond more than one semester, evaluation of a student's performance is deferred until the completion of the module. This module provides an in-depth coverage of the analysis and design of analog integrated circuits. E: no. Practical standards such as GSM, IS-95 and IMT2000 will be used as illustration examples. This module is to be graded on an S/U basis. The Non-Graduating programme at NUS. Our programme also provides an increasing number of opportunities for selected students … Modules. of hours for projects, assignments, fieldwork, etc. Finally, it covers topics on optical access networks discussing the architectures, operations, and protocols. Lossy match, lossy feedback, distributed and power amplifiers. Students will learn to appreciate such methods through examples and case studies. Co-requisites are modules that are to be taken concurrently. The ‘IC' grade is assigned when a student's work is of passing quality but is incomplete for good reasons (e.g., illness during the official examination period). Current advancement in power systems is also discussed through case studies in a seminar style. Advanced Electromagnetic Theory and Applications. The work may relate to a comprehensive literature survey and critical evaluation, design feasibility study, case study, or a combination of these. National University of Singapore. Probability theory, stochastic processes and vector spaces. The characterization techniques covered are essentially the measurement methods related to the particular fabrication process discussed. EE5702 / EE5702R Advanced Power Systems Analysis. There are five workload components to each module. Students are taught how a real-time embedded system can be designed using structured data flow methodology. The module is designed to equip students with the basic knowledge of the fundamentals and theoretical methods required for understanding quantum electronic behaviour in current and future nanoelectronic applications. Education at NUS. This module covers systematical analysis and design of advanced mixed-signal integrated circuits in CMOS technology and updates students with the current state-of-the-art designs. Maximum class size 50. We will introduce the background and recent developments in the field of reconfigurable computing by discussing representative papers from leading journal and conference proceedings. Candidates may read up to one graduate-level modules offered by other Departments subject to the approval from … Do take note of the information regarding ECE graduate module displayed at the end of this page. Note that some of the modules listed may not be offered in any particular year. We will introduce the various types of reconfigurable architectures and focus on the most popular fine-grained field programmable gate array (FPGA) architectures from the leading FPGA companies Xilinx and Altera. Graduate Students Modules and Timetable For more information on our modules and timetable for Semester 1 AY2019/2020, please visit this LumiNUS link or login to LumiNUS > Module … The NUS modular system combines the rigour and depth of the British university system with the flexibility and breadth of the American system. Should a student choose to repeat the module in a subsequent semester, none of the work done previously may be carried forward for assessment purposes. Course Fees. Terms [2110] 2021/2022 Semester 1 ... Division of Graduate Dental Studies. Several case studies of applications of mechatronics will be discussed in details. The course will examine 3D vision from various perspectives, including its computational, perceptual, and physiological aspects. This module covers the advanced theorems in electromagnetism and their applications in both microwave- and optics-related problems. This course serves as a strong foundation to those who wish to set their career (research and/or employment) in the domain of computer architectures, parallel and distributed processing, and software engineering. It then examines the fundamental capacity limits of wireless channels and the characteristics of the capacity-achieving transmission strategies. Topics to be covered include processing and characterization techniques related to dopant introduction, thin film, pattern transfer and selective layer removal. Error performance analysis of digital modulation systems. It focuses on fundamental principles and circuits in bio-signal processing and low-power biomedical systems. Topics in personality psychology … This module is intended for students keen on pursuing post-graduate tourism research. Major topics to be covered are: power converters for smart grid, electric and fuel cell vehicles, battery management system, Intelligent multi-agent control and cyber security of smart grid, system level issues, and recent development in such emerging technologies. Therefore, a student's CAP is the sum of the module grade points multiplied by the number of MCs for the corresponding module, divided by the total number of MCs. The topics covered include Oxidation, Isolation, Gate Module Technology, Diffusion, Ion Implantation, Shallow Junction Technology, Plasma etching process, Thin film deposition, Al/Cu interconnects, Lithography, and CMOS Integration. Solid state physics: crystal lattices, band theory, lattice vibration, the Fermi-Dirac distribution function and Fermi level, donor and acceptor states and carrier concentrations. The levels of analysis include single area power system reliability, composite system reliability, and multi-area power system reliability. The number of required modules may vary from department to department. NUS BEng or BTech degree holders may apply for a transfer of modular credits of a mix of either (i) module(s) counted towards their Bachelors or (ii) approved pre-taken module(s) not counted towards their BEng taken during their undergraduate candidature to their current graduate studies in NUS. It is tailored for students who are pursuing research in the field of advanced control systems. In addition, students are expected to complete a self-study project that will expose them to the most recent advances in adaptive control theory. In the module description, these components are given in a series of five numbers. This project may include design/fabrication, computation/analysis, discovery/innovation, research/development work and laboratory experimentation or a combination of these. Students taking this module will need to complete a self-study project on an advanced topic. Qualifying Examination (QE) for Ph.D Program Ph.D. students are required to pass QE within two years. The Department of Mathematics has offered three Graduate Internship Modules – MA5401, MA5402 and QF5401 to our graduate students. A candidate for the Ph.D. programme must successfully complete a minimum of six 5000 level ST modules as required by the Graduate School of Science. Effective from AY2019/2020, the Engineering module registration system and procedure has been replaced by the University’s new consolidated module registration platform, Module Registration at Education Records System (ModReg@EduRec) for all NUS Graduate… This module covers the phenomena and mechanisms of breakdown of gases, liquids and solids as used in electrical insulating materials. Please visit NUSMODS for the NUS … Students are expected to have an overall understanding of how to pick and judge research in interactive system design after taking this module. Instead, the relevant graduate certificate modules are made available under the CET500/L3 application portal where the applicant can register as modular courses. For example, NM2217 Creating Interactive Media has a workload of ‘2-2-0-3-3'. The fundamental theory of conventional antenna arrays is covered in the first part. The topics covered include: Principles of single- and multi-loop feedback designs; poles, zeros and stability of multivariable feedback systems; performance and robustness of multivariable feedback systems; control system design using LQR technique, LQG/LTR method, H2 and H-infinity control, and computer aided design software. This module is designed for students to learn the latest developments in nanoelectronics and devices. ABOUT MODREG@EDUREC IMPORTANT! It also describes the characteristics of a real time computing system. It provides the necessary fundamentals in power systems analysis. Students are required to attend at least 7 out of the 10 seminars held each semester for 2 consecutive semesters. If you are unable to log in to the System, please report this immediately so that you do not encounter delays during the online module registration exercise. This module is targeted at electrical engineering students who already have a basic knowledge of semiconductor device physics and technologies. Division of Graduate Medical Studies. This includes undergraduate modules and cross-faculty modules. This module focuses on advanced solid-state physics and quantum transport in nano-scale devices. This module provides background knowledge of physics of electrical and optical properties of bulk and low dimensional semiconductor materials. With emphasis on fundamentals, this module develops analysis methods that are used to understand the operation and design of solid-state microwave electronic circuits commonly used in microwave systems. Ph.D. NUS PhD (Data Science) Jointly hosted by NGS and the NUS Institute of Data Science (IDS) The NUS PhD (Data Science) programme is jointly hosted by the NUS Graduate School for Integrative Sciences and Engineering (NGS) and the NUS Institute of Data Science (IDS). We then apply this knowledge to study various underwater acoustic communication physical layer technologies. The weekly workload of each module is given in the full module description. D: no. Thus, a 4-MC module would require 10 hours of work a week, including lectures, tutorials, laboratory sessions, assignments, and independent or group study. Elective Modules Facilitate Interdisciplinary (20 MCs) NGS Electives Cross-faculty Electives Module Name MCs GSS6886 NGS Seminars 2 More GSS6886 NGS Seminars (2 MCs) NGS Seminars is a platform for students of the Graduate School for Integrative Sciences and Engineering (NGS) to develop their presentation skills by delivering seminar-style talks. It teaches the students practical design and analytical skills in instrumentation and sensing. This module is targeted at those electrical engineering students who have interests in IC design. The relevant graduate certificate modules are made available under the NUS Online Application Portal where the applicant can register as modular courses during the application period.. After attending the course, the students will acquire the basic skills on designing simple controllers for real time systems, know how to analyse the system responses and evaluate the controller performance. Mathematical background materials, such as matrix properties and operations, dynamic system models and solutions and random variables will first be discussed, followed by major topics including notions of optimality, selection of cost functions, optimal state estimation, basic optimal control and model predictive control. 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