AY2019 & AY2020 Cohort

Understanding, design, fabrication and testing of structures and materials at the nanometer scale. Students learn how controlling shape and size at the nanometer scale enables the design of smaller, lighter, faster and better performing materials, components and systems. This specialization combines both a physics and electrical engineering approach.

Core Courses
ESP3102 / PC3242 From Making Nano to Probing Nano / Nanofabrication and Nanocharacterization
CM3296 Molecular Modelling : Theory and Practice
Elective Courses (Choose any THREE)
BN5101 Biomedical Engineering Systems (Not available from Aug 2022)
CM3231 Quantum Chemistry and Molecular Thermodynamics
CM3251 Nanochemistry
CM5223 Topics in Supramolecular Chemistry
EE4407 Analog Electronics
EE3408C Integrated Analog Design
EE3431C Microelectronics Materials and Devices
EE4436 Fabrication Process Technology
EE4437 Photonics – Principles and Applications
EE5431 Fundamentals of Nanoelectronics
EE5434 CMOS Processes and Integration
EE5439 Micro/Nano Electromechanical Systems
EE5440 Magnetic Data Storage for Big Data
EE5502 MOS Devices
EE5508 Semiconductor Fundamentals
PC3233 Atomic & Molecular Physics I
PC3241 Solid State Devices
PC3247 Modern Optics
PC3251 Nanophysics
PC3274 Mathematical Methods in Physics II
PC4240 Solid State Physics 2
PC4253 Thin Film Technology
PC4259 Surface Physics
PC4274 Mathematical Methods in Physics III
PC5209 Accelerator Based Materials Characterization
PC5212 Physics of Nanostructures
PC5214 Principles of Experimental Physics
PC5247 Photonics II

Provides a multidisciplinary understanding of production and conversion of various forms of energy. It addresses non-renewable as well as renewable energy sources. Students learn to tackle some of the most pressing problems we face today in terms of energy generation, storage and management.

Note – ESP5403 has been recoded to ME4252 starting from AY2022/2023 Semester 1 onwards

Core Courses
ME4252/ESP5403 Nanomaterials for Energy Engineering/ Nanomaterials for Energy Systems
ESP5402 Transport Phenomena in Energy Systems
Elective Courses (Choose any THREE)
EE4438 Solar Cells & Modules
EE4501 Power System Management And Protection
EE4502 Electric Drives & Control
EE4511 Renewable Generation and Smart Grid
ESP3102 From Making Nano to Probing Nano
ESP4401 Optimization of Energy System
ME3122 Heat Transfer
ME3221 Sustainable Energy Conversion
ME4223 Thermal Environmental Engineering
ME4225 Applied Heat Transfer
ME4226 Energy and Thermal Systems
ME4227 Internal Combustion Engines
ME5204 Air Conditioning and Building Automation
ME5205 Energy Engineering
ME5516 Emerging Energy Conversion and Storage Technologies
PC3242 Nanofabrication and Nanocharacterization

Using mathematics and physics to build computational models to solve scientific and engineering problems. Models may be created in computers (virtual models), that enables the design of engineering systems to perform a function. Such virtual models guide the design and creation of engineering products like automobiles, airplanes, energy systems, etc. This specialization also gives the opportunity to discover assorted computational aspects associated with robotics and artificial intelligence.

Elective Courses (Choose any FIVE)

BN5205 Computational Biomechanics
BT3102 Computational Methods for Business Analytics
CE4258 Structural Stability & Dynamics
CG3207 Computer Architecture
CM3296 Molecular Modelling : Theory and Practice
CN3421 Process Modelling & Numerical Simulation
CS3216 Software Product Engineering for Digital Markets
CS3243 Introduction to Artificial Intelligence
CS3244 Machine Learning
CS4243 Computer Vision and Pattern Recognition
EE3331C Feedback Control Systems
EE4204 Computer Networks
EE4212 Computer Vision
EE4305 Fuzzy/Neural Systems for Intelligent Robotics
EE4308 Autonomous Robot Systems
EE4309 Robot Perception
EE5101 Linear Systems
EE5103 Computer Control Systems
EE5106 Advanced Robotics
EE5904 Neural Networks
ESP3201 Machine Learning in Robotics and Engineering
ESP5402 Transport Phenomena in Energy Systems
MA3220 Ordinary Differential Equations
MA3227 Numerical Analysis II
MA3236 Non-Linear Programming
MA4230 Matrix Computation
MA4255 Numerical Methods in Differential Equations
MA5233 Computational Math.
ME4233 Computational Methods in Fluid Mechanics
ME4245 Robot Mechanics and Control
ME4291 Finite Element Analysis
ME5302 Computational Fluid Mechanics
ME5361 Advanced Computational Fluid Dynamics
ME5402 Advanced Robotics
ME5404 Neural Networks
ME5405 Machine Vision
PC3236 Computational M. in Physics
PC3274 Mathematical Methods in Physics II
PC4274 Mathematical Methods in Physics III

This new specialisation aims to better align our program to the government RIE2020 plans where healthcare is cited as a major requirement for the future of Singapore. Engineering in Medicine is also one of six major research themes selected by the College of Design and Engineering at NUS that is encouraged and supported for research. The Engineering Science topic is naturally in many of the state-of-the-art instruments in the healthcare industry e.g. x-rays in computerized tomography (CT), gamma rays/radionuclides in nuclear medicine, magnetic fields and radio frequencies in magnetic resonance imaging (MRI), ultrasound in ultrasound imaging and Doppler measurements, focused ion beams for cancer therapy.

Elective Courses (Choose any FIVE)
BN3202 MusculoSkeletal Biomechanics
BN3301 Introduction to Biomaterials
BN4202 Biofluids Dynamics
BN5101 Biomedical Engineering Systems (Not available from Aug 2022)
BN5102 Clinical Instrumentation (Not available from Aug 2022)
BN5205 Computational Biomechanics
BN5209 Neurosensors and Signal Processing
EE3331C Feedback Control Systems
EE4704 Image Processing and Analytics
LSM3215 Neuronal Signaling and Memory Mechanisms
LSM3222 Human Neuroanatomy
LSM3242 Translation Microbiology
LSM3243 Molecular Biophysics
PC3232 Nuclear and Particle Physics
PC3243 Photonics
PC3247 Modern Optics
PC3267 Biophysics
PC3294 Radiation Lab
PC3295 Radiation for Imaging and Therapy in medicine