TRACK 1 Wireless Communication Systems Choose a minimum of 5 modules from the following: EE3104C Intro to RF and Microwave Systems & Circuits (Outer Core) EE3131C Communication Systems (Outer Core) EE4112 Radio Frequency Design and Systems (PDM) EE4204 Computer Networks (former: EE3204) EE4210 Network Protocols and Applications (PDM) EE4211 Data Science for Internet of Things EE5135 Digital Communications (RFM) Synopsis: Wireless communications and networks are at the center of many of the activities and services people encounter everyday. This track provides a grounding in the fundamentals of wireless systems. Additionally, some advanced topics are covered to equip students with state-of-the-art industry trends and technologies. Further, practical issues and concepts are dealt with in the professional development modules. The topics covered in the track include fundamentals of communication systems and the basic design of transceivers for communication systems, including circuit implementation. Further topics include system level concepts such as wireless network design and protocols, electromagnetic interference, and digital communications. Upon successful completion, students should understand the fundamental concepts, design, and applications of wireless communication systems, and be well equipped to contribute to the Telecommunications and Internet of Things (IoT) industries and more broadly in the Information and Communication sector. TRACK 2 Computational Intelligence Choose a minimum of 5 modules from the following: EE3731C Signal Processing Methods (Outer Core) EE4211 Data Science for Internet of Things EE4212 Computer Vision EE4305 Fuzzy/Neural Systems for Intelligent Robots EE4703 Digital Media Technologies (former:EE3701) EE4704 Intro to Computer Vision & Image Proc (former:EE3206) (PDM) EE5907 Pattern Recognition (RFM) EE5934 Deep Learning Synopsis: Artificial intelligence (AI) is contributing to a massive transformation of industry and society. Much of the current boom in AI is due to advances in machine learning. The increasing importance of digital data requires the training of engineers to master its acquisition, processing and automatic interpretation. This track exposes students to common data analysis problems such as classification and regression in data, image, and video, as well as techniques that create novel enabling technologies for smart interaction. It will train students to solve these problems with an effective use of analytical methods, including machine learning techniques. It will also provide students with an understanding of how to recover and create 3D content of the world, which is important for robots and cars to interact intelligently with the real world. Students specializing in this track will be able to work in the many areas that AI touches, which include business, social sciences, government, entertainment, industrial, military, and biomedical. TRACK 3 Microelectronic Devices and Technologies Choose a minimum of 5 modules from the following: EE3431C Microelectronic Materials and Devices (Outer Core) EE4211 Data Science for Internet of Things EE4409 Modern Microelectronic Devices & Sensors (former:EE3409) EE4434 Integrated Circuit Technology, Design and Testing (PDM) EE4435 Modern Transistors and Memory Devices EE4436 Fabrication Process Technology (PDM) EE4437 Photonics – Principles and Applications EE4438 Solar Cells and Modules EE5440 Magnetic Data Storage for Big Data (RFM) Synopsis: Microelectronic devices and technologies form the bedrock of Singapore’s manufacturing sector, contributing to about 30% of the total manufacturing output and 20% of the manufacturing workforce. Microelectronic devices and technologies pervade our everyday lives from smartphones, wearable gadgets, flexible screens, IOT applications, enterprise storage and clean energy, and many of these innovations are designed and manufactured in Singapore. Students specializing in this track will be exposed to the full range of microelectronics technologies, ranging from fundamental device physics and materials, to fabrication and integration, and to the operation of specific classes of devices (such as memory, storage, photonics and clean energy). The two PDM’s in this track will introduce students to industry practices related in semiconductor fabrication and chip manufacturing. This track will be especially relevant to students who aspire to a career in our nation’s semiconductor industry, which forms a vital node in global electronics network, and is underpinned by industry leaders such as Infineon, Intel, Micron, GlobalFoundries, TSMC, Seagate, Xilinx, Avago, REC and Applied Materials. [Advisory: It is highly recommended for any student specializing in this track to take EE3431C Microelectronic Materials and Devices (Outer Core) and EE4436 Fabrication Process Technology (PDM)]. TRACK 4 Control and Intelligent Systems Choose a minimum of 5 modules from the following: EE3331C Feedback Control Systems (Outer Core) EE4302 Advanced Control System EE4303 Industrial Control (former:EE3302) (PDM) EE4304 Digital Control Systems (former:EE3304) EE4305 Fuzzy/Neural Systems for Intelligent Robots EE4307 Control System Design and Simulation EE4308 Autonomous Robot Systems EE5934 Deep Learning Synopsis: Control and Intelligent Systems technologies are pervasively used in a wide range of applications in today’s modern industries such as developments in new medical systems and instruments, intelligent mechatronics, intelligent building automation, intelligent automated systems, financial analysis, precision manufacturing, chemical and biological processing, vehicle guidance, semiconductor manufacturing and power system control. Indeed nearly all next-generation engineering systems will incorporate automation, and thus training and expertise in Control and Intelligent Systems technologies will be invaluable for careers where such automation is clearly needed. This track provides the necessary well-founded training and expertise, developing students in the proper fundamentals of feedback systems (necessary for automation), industrial control, fuzzy/neural systems, control system design and simulation, advanced control (on the important ideas of system state and nonlinear systems), digital controls, and many other essential aspects of intelligent systems necessary for automation. TRACK 5 Integrated Circuits and Systems Choose a minimum of 5 modules from the following: EE3104C Intro to RF and Microwave Systems & Circuits (Outer Core) EE3408C Integrated Analog Design (Outer Core) EE4218 Embedded Hardware System Design EE4407 Analog Electronics (former:EE3407) EE4415 Integrated Digital Design EE4434 Integrated Circuit Technology, Design and Testing (PDM) EE4436 Fabrication Process Technology EE4505 Power Semiconductor Devices & ICs Synopsis: IC technology is ubiquitous in our everyday life. The advance of CMOS technology has brought about significant improvement in the circuit performance. It unleashes tremendous digital signal processing power for digital circuits, and available spectral bandwidth by pushing analog/RF circuit into mm-Wave regime. Through this advances, it has enabled creative electronic systems or products, such as mobile phones, internet-of-thing, and etc. Students specialize in this track will be exposed to fabrication process, IC design, and testing. They can also learn about the embedded system design which consists of the use of IC technology. This track will be relevant to students who aspire to work in IC design company such as Mediatek, Marvell, Broadcom, Infineon, Xilinx, or foundries such as GlobalFoundries, TSMC, UMC, and etc. TRACK 6 Power and Energy Choose a minimum of 5 modules from the following: EE3506C Introduction to Electrical Energy Systems (Outer Core) EE4303 Industrial Control (former: EE3302) (PDM) EE4501 Power System Management & Protection EE4502 Electric Drives and Control EE4503 Advanced Power Electronics [PDM] (Anti-req: EE2025) EE4505 Power Semiconductor Devices & ICs EE4511 Renewable Generation and Smart Grid EG4211 Energy Storage Systems for Electric Grids (non-EE module taken under UEM) ESP4401 Optimization of Energy Systems (non-EE module taken under UEM) EE5702 Advanced Power System Analysis [RFM] EE5703 Modelling and Control of Electrical Actuators [RFM] EE5711 Modelling and Control of Power Electronic Converters [RFM] Synopsis: Electricity is the preferred energy type of modern economies. Demand for electricity is ever increasing as more systems like transportation etc are being electrified. Also, as climate change concerns increase, focus has been on developing efficient renewable energy sources for generation of electricity. Singapore is planning to continuously increase deployment of solar energy. This brings new challenges for integration of intermittent and variable renewable energy sources to existing power supply systems. The electrification of transportation industry requires expertise in the field of electric drives. The power and energy track provides the necessary fundamental engineering knowledge and hands-on experience with design and analysis tools in this field. Emerging field of renewable energy and their integration, grid-level energy storage systems and smart grid deployment and management are covered in recommended elective modules. The Electric Power industry in Singapore offers many meaningful careers in generation, distribution and marketing sectors. Companies like Singapore Power, Energy Market Authority, Sun Seap Group, Red Dot Power, BOSCH, ST Marine, SMRT etc. are among those who employ engineers in the field.