In this course, we aim to provide the student with knowledge of the basic theory of underwater acoustics that is necessary in the understanding and development of underwater communication systems. We introduce exact and approximate inference and learning of graphical models, which serve as unifying themes for many models and algorithms in control, communications, speech analysis, signal processing, computer vision and biomedical image analysis, such as Kalman filtering, hidden Markov models, Viterbi algorithm and LDPC decoding. This module provides an opportunity for new PhD students to carry out preliminary research work through two short-term research attachments under the supervision of academic advisors. This module covers selected topics in biomedical circuits and systems, which address areas at the crossroads of circuits and systems and life science. NUS Medicine Graduate Program Committee; Department Graduate Programme Directors; Graduate Student Society; Staff Directory; Career; Modules Offered . Note that some of the modules listed may not be offered in any particular year. This module aims to provide an in-depth understanding of modern optical communication systems. This refers to the number of hours a student is expected to spend each week in preparing for lectures and tutorials. 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. How many modules must I complete in order to graduate with the NUS MBA degree? This module is supplementary for the general area of communication systems. Please check with the relevant department for more information. This module provides insight into the design and simulation of RF transceivers of communication systems realised as a mixed-signal system-on-chip. 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. NUS Enterprise NUS Graduate School for Integrative Sciences & Engineering Saw Swee Hock School of Public Health School of Business School of Computing School of Continuing & Lifelong Edn School of Design and Environment Science Speciality Research Institutes/Centres University Administration University Scholars Programme Yale-NUS College It incorporates introductory concepts, MOS capacitor, long channel MOSFETs, short channel MOSFETs, MOS IC and technology, and MOS IC applications. For each kind of device, a brief history, background knowledge, device structure and characteristics, as well as device applications and outlook will be included. Practical standards such as GSM, IS-95 and IMT2000 will be used as illustration examples. The MC-value of a module is derived by dividing the estimated total number of workload hours per week for that module by the credit factor of 2.5 (i.e., one MC is equivalent to 2.5 hours of study and preparation per week). The Department reserves the right to change the offering semesters of the modules. In this module students will learn various neural network models and develop all the essential background needed to apply these models to solve practical pattern recognition and regression problems. Basic Clinical Pharmacology for Clinical Research (4MC) Candidates will be introduced to pharmacokinetics, assessment of drug effect, and drug transport. Topics will be organized under additive manufacturing, robotics and automation, and Internet of Things. The second part covers the topics on optical networking. The aim of this module is to provide an appreciation of the important contributions made by Claude Shannon to communications, including the fundamental limits of data compression, channel capacity, and the source-channel separation principle. Communication via fading channels – channel models, receiver design and error performance analysis. Students will learn to appreciate such methods through examples and case studies. Computing exists anywhere and in any field. ** CN5010 Mathematical & Computing Methods for Chemical Engineers 4 Yes CN5020/6020 Advanced Reaction Engineering 4 Yes CN5030 Advanced Chemical Engineering Thermodynamics 4 Yes CN5040 Advanced Transport Phenomena 4 Yes CN5050 Advanced Separation Processes 4 Yes CN5172 Biochemical Engineering 4 … Part Two introduces some important nonlinear control design methods, such as feedback linearization, backstepping, sliding mode, adaptive and intelligent controls. These will be of a sufficient size and nature to induce excitement in independent projects for students to explore. Using examples from the Asia-Pacific, the module explores tourism initiatives at the governmental level, comparing them with the efforts by NGOs and other … The levels of analysis include single area power system reliability, composite system reliability, and multi-area power system reliability. Exempted (EXE) The course also includes an examination of the security aspects of each layer. The undergraduate and graduate curricula are based on a modular system 2. In line with NUS' vision of becoming a leading global university centered in Asia, the Non-Graduating Programme comprises students from external institutions who undertake coursework or research over a semester or several semesters. The number of required modules may vary from department to department. EE4502. Recent Advances in sensors such as smart sensors and microsensors will be highlighted. Efficient signaling for message sequences. EE5001. The candidate must obtain a satisfactory grade for the Graduate Seminar Module. In all, Singapore and NUS offer a compelling proposition for the emerging change-makers and leaders of Industry 4.0. Students receive letter grades for each module taken, except for the cases listed below. Key problem domains such as multi-objective scheduling, optimisation, search, and design will be examined. This is a required module for all research Masters and PhD students admitted from AY2004/2005. It teaches the students practical design and analytical skills in instrumentation and sensing. This provides them the option of embarking on continuing education without having to commit to a full qualification upfront. EE5711 / EE5711R Modelling and Control of Power Electronic Converters. Graduate-level modules (i.e. The QE consists of two parts: the written and oral QEs. Several case studies of applications of mechatronics will be discussed in details. At the end of this module, the student should have a good understanding of all the related topics of advanced robotics, and be able to derive the kinematics and dynamics of a given robot, plan appropriate path, and design advanced control systems. CN Module MODULE CODE MODULE TITLE NUMBER OF MC EXERCISE S/U ? 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. Withdrawals after this period (i.e. The objective of this module is to provide students the theory and concept of multi-antenna communications. Topics include: advanced filter designs; system in package; transistor small signal modelling and large signal The description of graduate modules offered by the Department of Electrical and Computer Engineering are listed below. EE2010 (Applicable to undergraduate students only). 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. Device modelling and electromagnetic compatibility are also considered. Topics in personality psychology … The main topics include PI3K-MTOR pathways, MAPK pathways, tyrosine kinase pathways, GPCR, small GTPase, TNF signalling pathways, NF-kB pathways, Jak-STAT pathways, TGFb-Smad pathways, Hippo signaling, … We then apply this knowledge to study various underwater acoustic communication physical layer technologies. Proficiency in C/C++ or Matlab, Linear algebra, EE3206 or equivalent modules, Interactive System Design Research Methods. The programme has two tracks: Normal track (3 essential modules + any 4 PM modules + 3 UE modules); and; Specialization track (3 essential modules + any 5 specialization modules + 2 UE modules). 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. The first part covers the topics on the physical layer of optical communications. Various theories and methods will be covered to help students think about and validate interactive systems. The object of this module is to provide an understanding of the principles and design of active RF circuits employed in mobile systems. This caters to assignments, independent studies, fieldwork, and other forms of continuous assessment that contribute towards the final grade of the module. Students will be taught how these approaches identify and exploit biological processes in nature, allowing a wide range of applications to be solved in industry and business. 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. The main objective of this course is to introduce students to the basic concepts of magnetism, magnetic materials and devices and related applications in data storage from the electrical engineering perspective. Applicable to M.Sc(Elect Eng) students only. level-5000 and above) are generally expected to be 4 MCs each. of hours for preparatory work by a student per week, For description on undergraduate modules, please refer to our webpage at, Description of modules can also be viewed/search on the NUS bulletin, Registrar's webpage at On completion of the module, students should be able to describe and analyse narrowband and wideband mobile radio propagation channels, understand the requirements and operation of mobile radio systems, and appreciate the design issues of TDMA and CDMA cellular systems. R0-parameters and Channel capacity. Issues on the design and implementation of actual control systems will be addressed through a design project. The students will develop in-depth understanding of integrating the unit process steps to design a device that meets electrical performance specification. If we represent the five numbers in a workload series as ‘A-B-C-D-E', each letter would refer to: A modular credit (MC) is a unit of the effort, stated in terms of time, expected of a typical student in managing his/her workload. Next, the course uses these design principles to describe the design of state-of-the-art as well as real-world protocols for each layer. While these modules are existing modules which are offered to NUS undergraduate and graduate students, they can be taken as stand-alone modules by adult learners. 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. Refer to GD class timetable for modules […] The course will cover Bayesian statistics and emphasizes the powerful formalism of graphical models. However, even such good reasons will not warrant an ‘IC' grade if the work already completed for the module is clearly not of passing quality; instead, students should note that the ‘F' grade will be assigned in such cases. 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 will make the student aware of the fundamental considerations needed to design power electronic converters in an industrial environment and conforming to different industrial standards especially in terms of EMI/Efficiency/Line harmonics (AC-DC). 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 … This module covers the fundamental topics required for the design and analysis of the RF stages in modern wireless systems, including receiver design and modulation methods. It provides the necessary fundamentals in power systems analysis. For graduate students, please refer to your Faculty/School for advice. Min CAP of 3.0 for all four modules (or 16 modular credits equivalent) taken under the coursework requirement. Application of statistical decision theory to optimum receiver design for Gaussian channels. This module covers selected topics in advanced microwave and antenna engineering problems. NUSMods is a timetable builder and knowledge platform, providing students with a better way to plan their school timetable and useful module-related information that are community-driven. The Department of Mathematics has offered three Graduate Internship Modules – MA5401, MA5402 and QF5401 to our graduate students. For example, NM2217 Creating Interactive Media has a workload of ‘2-2-0-3-3'. Six graduate modules (level 5000); and achieve a minimum CAP of 3.5 (equivalent to B average). EE3204 or EE3207 (Applicable to undergraduate students only). This module is designed to serve as an advanced course in stochastic processes for research students specializing in communications and networks as well as other research areas that deal intensively with stochastic signal analysis and processing. 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. The aim of the module is to introduce the various components of Electric Drives. 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 effect of antenna and array configuration characteristics on multichannel simultaneous communications and the dependence of the multi-channel communications on the antenna arrays will be fully illustrated and exemplified in this module. The topics covered will be formulated to contain unsolved problems and issues. It involves analysis, design, simulation and construction of RF circuits, such as mixers, modulators, RF power amplifiers, IF amplifiers and frequency synthesisers. If in doubt, students should consult the module instructor or the Department academic advisor regarding the acceptable equivalent modules. Background knowledge in Linear Algebra & feedback control are required. This test will determine whether candidates would need to take the Graduate English course. The goal of this module is to understand, analyze and research on the architectures, algorithms and applications in the reconfigurable computing. Students can progress at their own pace and choose from a wide range of modules … In Progress (IP)  Division of graduate studies, NUS Medicine. This is a project-based module. 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 course uses case studies to expose students to real-world networking protocols and presents the design principles that motivated the development of these protocols. 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. This is a module for those majoring in communications, particularly digital communications. EE5432R Microelectronic Processes & Characterization, EE6503 Characterization of Materials & Devices. This seminar module forms part of the graduation requirements for M.Eng students registered in August 2004 and later. The focus of this module will be on the antenna array as a realization method to enable multi-antenna communications. Maximum class size 20. The objective of this course is to understand three-dimensional shape/space processing in human or machines. Topics will cover optics and laser basics, semiconductor laser technology, optical system layout and design, optical diagnostics, optical precision engineering, and optical nanofabrication technology. The topics taught in this module include single transistor amplifiers, current sources and mirrors, current and voltage references, operational amplifiers, feedback theory and stability, noise analysis, oscillators, S/H circuits and comparators. The design of key wireless system components, such as filters, amplifiers, mixers and oscillators, is also included. Control in Data Storage Systems (Advanced). Applicants who are interested in the Graduate Certificate or modules within the Graduate Certificate must submit their applications via the NUS Online Application Portal. Students will learn fundamental concepts behind antenna theory and design, the latest methodologies employed for antenna analysis and measurement, and most importantly, how a desired antenna system can be efficiently designed from initial specifications by means of simple practical engineering procedures and CAD tools. Course Fees. 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. The module provides students with an understanding of basic concepts and principles of system optimality with applications to control and state estimation. This course introduces ECE and SoC graduate students to the fundamentals of machine learning from a statistical perspective, bringing the student to a level at which he can conduct independent research in this interdisciplinary area. Keywords can include module code, title, lecturer or faculty. 1 SkillsFuture Singapore (SSG) funded Modular Courses 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. The course introduces various research methods on interactive system design. Working alongside faculty members, fellow students, alumni and corporate partners, it takes you beyond the typical classroom and builds qualities that are highly sought after by recruiters – problem-solving, critical thinking, teamwork, communication, adaptability, and interpersonal skills. 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. ME4245, ME2142 or EE2010 (Applicable to undergraduate students only). It covers the basic constituents of optical communication systems including optical fibers, optical transmitters/receivers, wavelength multiplexers/demultiplexers, optical switches, optical amplifiers, and wavelength converters; and transmission system engineering such as dispersion management and Q-factor analysis. Major topics include the advanced theory of electronic structures of novel materials, quantum transport theory, and their applications to novel nanoelectronic devices. The students are expected to learn useful skills and build up interdisciplinary background for further research in biomedical circuits and system. Students are expected to have an overall understanding of how to pick and judge research in interactive system design after taking this module. Students should take up this module only if the course helps them in their R&D efforts. The module offers students timely and updated coverage of a wide range of topics relevant to automation and control engineering tapping on the latest and diverse range of developments in the repertoire of the control group, such as the delivery of a measured collation of automation and control system designs applied to real problems of a diverse nature and which are not easily and directly available from standard literature. 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 covers important aspects of CMOS front-end and back-end processes and integration. Undergraduate knowledge in Power Electronics, e.g. NUS has launched the “Resilience & Growth Initiative” to future-proof the Class of 2020. This part is followed by practical digital modulation techniques and their performance under wireless channel impairments, including diversity techniques to compensate for flat-fading, multicarrier modulation to combat frequency-selective fading, and multiple antenna space-time communications. Lossy match, lossy feedback, distributed and power amplifiers. EE4101 and EE4112 (Applicable to undergraduate students only). Understanding the biological and psychophysical processes governing perception is the key to building well-founded models. Education at NUS This course aims to cultivate a strong research culture among graduate students by exposing students to diversified area of current research topics and to improve their communication skills through presentations and interactions with other researchers. 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). Students should have some basic knowledge of electromagnetics. Advanced Topics on Vision and Machine Learning. Students are expected to participate actively throughout. It also provides a mechanism for student-PhD supervisor matching for those who are unsure of their research topic.. It then examines the fundamental capacity limits of wireless channels and the characteristics of the capacity-achieving transmission strategies. Data flow methodology covered to help students think about and validate interactive systems research topics in advanced data technology... And nus graduate modules squares estimation research students, please refer to NUS SCALE for... Evolution can be used as illustration examples General area of research projects, assignments, fieldwork,.... 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