Electrical Engineering and Information Technology form the foundation of the digital age and are among the prime engines of technological and economic progress. They offer us a head start on the challenges of the future in areas as diverse as automotive technology, power engineering and electronics engineering, with applications ranging from household appliances to space satellites. The rapid developments in information and communications technology in particular underscore the tremendous importance of Electrical Engineering and Information Technology.
This degree programme offers an interdisciplinary approach to the design, manufacture and integration of energy and information into engineering systems and processes. It covers fundamental engineering principles and application-based skills in innovative product development. Students have a choice of specialisation in Microelectronics, Integrated Circuit Design or Automation.
Electrical Engineering and Information Technology professionals excel in research and development, planning, design, operation, purchasing, sales, teaching, patent procedures and business management, in telecommunications, construction, power supply, consumer electronics, and more.
Eligibility and Exemption
Ngee Ann Polytechnic
*Students who do hold a diploma from other programmes which are not listed here are welcome to apply. Applications will be considered on a case-by-case basis.
Applicants who are not graduates from a Polytechnic in Singapore, but have completed a formal 12-year education equivalent to A-Levels, are eligible to apply.
Overseas University Partner
A-Level / IB Diploma Prerequisites:
Technical University of Munich
Bachelor of Science in Electrical Engineering & Information Technology
*GCE A Level applicants must have taken two language subjects, out of which one must be at H1 to fulfil the language requirements as stipulated by the German Higher Education System. If you have been exempted from taking MTL for your GCE A Level, you can retake the subject to fulfil the language requirements. For further enquiries on the language requirements, please contact TUM Asia Admission Office at email@example.com.
All students will have to complete an attachment at the home campus of Technical University of Munich (TUM) in Germany within the final semester of their degree programme. Students will undergo matriculation at the TUM home campus when they attend the Overseas Immersion Programme. The exact duration of their stay in Germany may vary with each student but in general, students from the EEIT degree programme will have to spend about 12 weeks abroad, whilst students from the CE degree programme will have to spend about 17 weeks abroad. EEIT students will carry out their Bachelor’s thesis under supervision by their German professors. CE students, in addition to the Bachelor’s thesis, will have to attend laboratory courses on Physical Chemistry and Chemical Engineering at the home campus.
The trip to Germany will provide students an enriching immersive experience of living and studying at the TUM campus in Munich. The estimated cost ranges from S$7,000 to S$9,000.
Note: Estimated costs are dependent on the prevailing currency exchange rate and flight ticket prices.
Vectors, matrices, linear equation systems, scalar and vector product, determinants, orthogonality, linear spaces, linear transformation, eigenvalues, matrix factorizations (especially diagonalization and singular value decomposition), matrix norm, Linear differential equations with constant coefficients.
Linear and nonlinear resistive circuits.
Mechanics, oscillations and waves, thermodynamics, optics, atomic and nuclear physics.
Automata theory, formal languages and grammar, fundamental string processing, design and analysis of algorithms, abstract data structures, graphs, trees, lists, pointers, queues, stacks, basic algorithms, sorting, searching, graph algorithms, complexity measures, modelling, basic programming techniques (loops, branches, pointers, etc.), basic language structure (programming using C), usage of editors and compilers.
Structure of computer systems, micro-architecture, instruction set architecture, data and instruction formats, assembler programming and high-level language, interaction of computer programs and operating system, operating system tasks.
Linear and nonlinear dynamic circuits.
Physical theory of electric and magnetic phenomena, that is relevant to technical applications:
Time-continuous and time-discrete signals, linear time-invariant systems (LTI- systems), convolution, convolution integral and convolution sum, pulse response of LTI-systems, stability and causality, periodic signals, orthogonal function systems, time-continuous Fourier series (FS), time-continuous Fourier transform (FT), Fourier integral, relationship between FS and FT, corresponding TF pairs, amplitude modulation and signal reconstruction, linear differential equations and transfer functions, Bode diagram, introduction to filter technology, time-discrete Fourier transform (TDFT), linear differential equations, time-discrete filters, sampling in the frequency domain, Laplace transform (LT), convergence properties of the LT, z- transform, residue theorem, discrete Fourier transform (DFT).
Theory of electromagnetism from field theory point of view as basis for the physical understanding of electromagnetic phenomena in technical applications:
Basics of quantum mechanics; structure of matter (atoms, molecules, crystals); mechanical, thermal, dielectric, optical and magnetic properties of solids; electrical and thermal transport, free electron gas; metals, dielectrics, plastics, glass and ceramics; energy band model; semiconductors and their applications; superconductivity; the most important materials for applications in electronics.
Numerical Analysis and Optimization: linear and nonlinear equation systems, error analysis, interpolation, numerical integration, initial value problems for ordinary differential equations (ODE), boundary value problems, partial differential equations.
Source signals and their spectra, sampling theorem, quantization, basic concepts of the rate-distortion theory, pulse code modulation (PCM), differential PCM. Basic concepts of information theory, source coding and entropy encoding. Baseband transmission: pulse waveforms and their spectra, Nyquist criterions, eye diagram. Transmission channel (e.g. AWGN-channel), matched filter, detection in random noise, error probability for anti-periodic and orthogonal transmission, linear digital modulation schemes (PSK, QAM), realization aspects (clock, phase and frequency estimation).
Basics of open-loop and closed-loop control, automation in technical and nontechnical systems. -Modelling, linearization and linear systems. - Time response of linear dynamical systems. – Standard dynamic system components, time-lagged systems. - Stability of LTI-systems, stability criteria. – Basics of closed- loop control and standard controllers. - Stability analysis of closed-loop control circuits in the frequency domain, Nyquist- and Bode-diagrams. –Control unit design and methods for controller parameters. - Structural extension of single closed loop control structures via feed forward control and controller cascades. - Condition-based control unit design, linear-quadratic control, state monitor of LTI-systems. - Digital implementation of open-loop control, closed-loop control regulations and filter laws. – Discrete event open-loop control and Petri-Netz-modelling, coordination of partial control. - Technology of regulatory, control (open-loop control and closed-loop control) and automation systems. - Application examples
Introduction to digital measurement systems, measuring amplifiers and bridges, display, conversion and processing of measurement data, measurement systems with resistive, capacitive and inductive sensors, technical temperature measurement, measurement systems with optical sensors, electric and magnetic effects in sensor materials, measurement systems with ion-conducting sensors, measurement systems with gravimetric sensors, measurement systems with time delay and Doppler sensors.
Importance of electricity industry, generation of electrical energy, energy storage technologies, three-phase system (alternating current technology), electric machines, transmission of electrical energy, electric power grids, high voltage technology, electric drives, (electronic) power converters, electrical safety.
This course gives students the opportunity to learn the basics of the design and the characterization of analog circuits. Therefore basic circuitry (e.g. differential pair, current and voltage references) has to be designed with standard industry-tools (Cadence, Matlab). The students have to develop the full schematic diagram and dimension the device parameters. Afterwards the circuitry has to be assembled with discrete devices and the functionality has to be tested. The device and circuit parameters have to be determined and evaluated with test circuits and measurement equipment. Familiarization with CAD environment, PVT (Process, Voltage, and Temperature) variation, Transistor Characterization.
The aim of the module is to provide the students with knowledge and understanding of practical Integrated Circuit (IC) design techniques in digital IC. It includes both digital IC design at transistor level as well as system level using hardware description language (HDL). Verilog-HDL is the targeted HDL in this semester. This is a full laboratory course with 100% laboratory assessment, and that’s no written examination.
Understanding of micro-structured energy converter system design and dimensioning of micro-transducers, piezoresistive transducers, piezoelectric transducers, magnetic transducers, Calculation of basic structures and design of micro-structured mechanical and fluidic elements.
The Lecture "Real-Time and Embedded Systems" covers the topics:
Representation and Analysis of Multi-Input Multi-Output Systems, performance specification and limitations, H control (PK structure, H control problem, Mixed sensitivity design, characterization of H norm, control synthesis), bisection algorithm.
The laboratory consists of experiments on the following topics: computer aided control design, state space control design, systems with distributed parameters, machine vision in automation systems, mobile robots, automation with petrinets and neuronal networks.
NOTE - 'A' level students have to do 2 soft skills modules and Engineering Practice (Internship) in Semester 6.