AY2018/2019 cohort
Nanoscience and Technology (NANO)
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 |
Group A – Choose one | |
EE4437 | Photonics – Principles and Applications |
PC3247 | Modern Optics |
PC3251 | Nanophysics |
PC4259 | Surface Physics (Applies from Cohort 2017 onwards) |
Group B – Choose TWO | |
BN5101 | Biomedical Engineering Systems (Not available from Aug 2022) |
CM3231 | Quantum Chemistry and Molecular Thermodynamics |
CM3232 | Physical Chemistry of the Solid State and Interfaces |
CM3251 | Nanochemistry |
CM5223 | Topics in Supramolecular Chemistry |
EE3407 | Analog Electronics |
EE3408C | Integrated Analog Design |
EE3431C | Microelectronics Materials and Devices |
EE4436 | Fabrication Process Technology |
EE4509 | Silicon Micro Systems |
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 |
PC3235 | Solid State Physics 1 |
PC3241 | Solid State Devices |
PC3274 | Mathematical Methods in Physics II |
PC4240 | Solid State Physics 2 |
PC4253 | Thin Film Technology |
PC4274 | Mathematical Methods in Physics III |
PC5209 | Accelerator Based Materials Characterization |
PC5212 | Physics of Nanostructures |
PC5214 | Principles of Experimental Physics |
PC5247 | Photonics II |
Energy Science and Technology (ES)
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 Note, the ECE department have now withdrawn EE3506C, and replaced it with EE2029, please ensure you take EE2029 as a UE, it allows you to take 4th year EE modules in the EST, EE4501, EE4502 and EE4511.
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 |
Group A – Choose THREE (Cohort 2017 onwards) | |
EE3506C | Electrical Energy Systems (RECOMMENDED) |
EE4438 | Solar Cells & Modules (Preclude : EE4432 Devices for Elect. Energy Gen.) |
EE4501 | Power System Management And Protection |
EE4502 | Electric Drives & Control |
EE4511 | Renewable Generation and Smart Grid |
ESP3102 / PC3242 | From Making Nano to Probing Nano / Nanofabrication and Nanocharacterization |
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 |
Computational Engineering Science (CES)
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.
Core Courses | |
---|---|
ESP4901 | Research Project |
Group A, Choose ONE from any of the below | |
(Modelling and Simulation track) | |
ME4291 | Finite Element Analysis |
(Computational Robotics track) | |
ESP3201 | Machine Learning in Robotics and Engineering |
Group B – Choose FOUR (Cohort AY2017/18 onwards) from any of the below | |
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 |
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 Mathematics |
ME4233 | Computational Methods in Fluid Mechanics |
ME4245 | Robot Mechanics and Control |
ME5302 | Computational Fluid Mechanics |
ME5361 | Advanced Computational Fluid Dynamics |
ME5402 | Advanced Robotics |
ME5404 | Neural Networks |
ME5405 | Machine Vision |
PC3236 | Computational Methods in Physics |
PC3274 | Mathematical Methods in Physics II |
PC4274 | Mathematical Methods in Physics III |
Engineering Science in Medicine (ESM)
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.
Core Courses | |
---|---|
PC3294 | Radiation Lab |
ESP4901 | Research Project |
Group A – Choose ONE | |
EE4603 | Biomedical Imaging Systems |
BN4406 | Biophotonics and Bioimaging |
BN4201 | Tissues Biomechanics |
Group B – Choose ONE | |
PC3232 | Nuclear and Particle Physics |
PC3232B | Applied Nuclear Physics |
Group C – Choose Choose TWO (Cohort AY2017/18 onwards) | |
BN3202 | Musculo-Skeletal Biomechanics |
BN3301 | Introduction to Biomaterials |
BN3402 | Bio-Analytical Methods in Bioengineering |
BN4202 | Biofluids Dynamics |
BN4402 | Electrophysiology |
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 Signalling and Memory Mechanisms |
LSM3222 | Human Neuroanatomy |
LSM3242 | Translation Microbiology |
LSM3243 | Molecular Biophysics |
PC3243 | Photonics |
PC3247 | Modern Optics |
PC3267 | Biophysics |
PC3295 | Radiation for Imaging and Therapy in medicine |