Semester 2 | MSc in Electronics and Technology

Digital Communications

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge of digital communication and skills/competencies in the design and performance analysis of the major parts of a modern digital communication systems. The course covers the design and performance analysis of the major parts of a modern digital communication system. It also discusses some fundamental limits for transmission of digital information over noisy channels.

What you will learn

Analyze complex modern digital communication systems.
Identify and summarize common problems in existing digital communication setups.
Propose and formulate solutions for common problems related modulation and noise in digital communication systems.
Evaluate and assess the performance of proposed solutions related to modulation and noise in digital communication systems.

Meet your instructor

Michalis Michaelides

Course content

Session 1: Digital modulation schemes (Part 1)
Session 2: Digital modulation schemes (Part 2)
Session 3: Performance analysis of digital communication systems in the presence of noise (Part 1)
Session 4: Performance analysis of digital communication systems in the presence of noise (Part 2)
Session 5: Optimum signal detection methods
Session 6: Optimum receivers for AWGN channels
Session 7: Source encoding and channel capacity, and error correcting codes.
Session 8: Practical examples and real-life problems.

Teaching methodology

Lectures, group discussion for problem solving, seminars.

Assessment

Midterm exam (40%) Will include combination of numerical exercises and open-ended theoretical questions.
Final written exam (60%) Will include combination of numerical exercises and open-ended theoretical questions.

Advanced Digital Signal Processing I

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge on the most important theoretical and practical aspects of advanced digital signal processingand skills/competencies in process analysis of discrete-time signals. The most important knowledge will be developed throughout the course is the analysis of signals and systems with the help of discrete-time Fourier series and transform, and extraction of quantitative parameters for the evaluation of their properties. Significant knowledge is gained about the Discrete Fourier transform and its various applications such as the analysis of design of digital filters of finite and infinite (FIR and IIR) impulse response. With this knowledge, students will be able to address real world problems and design digital filters that are widely used in applications. This course covers theoretical knowledge and applications in the form of computer projects in MATLAB or similar environment.

What you will learn

Analyze discrete-time signals and systems.
Extract quantitative parameters to identify signal properties
Design digital filters of finite and infinite (FIR and IIR) impulse response.
Analyze practical systems from various industrial sectors

Meet your instructor

Takis Kasparis

Course content

Session 1: Fourier series of discrete time signals
Session 2: Discrete Fourier Transform and applications
Session 3: Design of digital filters of finite impact response (FIR)
Session 4: Design of digital filters of infinite impact response (IIR)
Session 5: Design of filters meeting given specifications
Session 6: Analysis and design in practical systems
Session 7: Programming applications in MATLAB environment (Part 1)
Session 8: Programming applications in MATLAB environment (Part 2)

Teaching methodology

Presentations, group discussions, and case studies.

Assessment

Midterm exam (25%) Will include combination of numerical exercises and open-ended theoretical questions.
Computer Projects (35%)
Numerical and theoretical exercises (10%).
Final written exam (30%) Will include combination of numerical exercises and open-ended theoretical questions.

Advanced System Theory and Automatic Control

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge on non-linear systems and control and skills/competencies in complex system control design. The course covers the technological field of non-linear control systems theory, covering modeling approaches, stability analysis, and control design.

What you will learn

Analyze non-linear systems and assess their stability.
Design control solutions for common non-linear systems.
Evaluate the performance of various non-linear control design methods.
Validate practical solutions to control of non-linear problems in industry.

Meet your instructor

Petros Aristidou

Course content

Session 1: Review of linear systems and control
Session 2: Introduction to non-linear systems
Session 3: Introduction to non-linear control systems
Session 4: Performing stability analysis of non-linear systems using a variety of methodologies (Lyapunov stability, passivity, input-output stability etc.) (Part 1)
Session 5: Performing stability analysis of non-linear systems using a variety of methodologies (Lyapunov stability, passivity, input-output stability etc.) (Part 2)
Session 6: Performing stability analysis of non-linear systems using a variety of methodologies (Lyapunov stability, passivity, input-output stability etc.) (Part 3)
Session 7: Design control mechanisms for non-linear systems
Session 8: Practical applications of non-linear control.

Teaching methodology

Presentations, group discussions, case studies.

Assessment

Midterm exam (30%) Will include combination of numerical exercises and open-ended theoretical questions.
Project (20%) Group project assigned to the students during the semester.
Final written exam (50%) Will include combination of numerical exercises and open-ended theoretical questions/

Research Methods

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The purpose of this course is to teach students how to perform their research properly, how to find information on scientific articles from the university’s library, how to write an excellent scientific article for a conference or scientific journal and to help them present the results of their research.

What you will learn

Acquire basic knowledge of how to find information from the library and international databases,
Write successful scientific articles for scientific conferences and journals and excellent research proposals,
Write very good scientific theses,
Analyze and study a subject in depth and write a literature review on the subject,
Acquire the knowledge on how to collect and process data.

Meet your instructor

Petros Aristidou

Course content

Unit 1 Research Basics Chapter 1 Introduction Chapter 2 Empirical Methodology for Conducting Research Chapter 3 Formal Methodology for Conducting Research Chapter 4 Research Supervision
Unit 2 Library Tools and Literature Search Chapter 1 Library Tools Chapter 2 Library Search Chapter 3 Database Search Tips Chapter 4 Digital Libraries
Unit 3 Literature Review Chapter 1 Types of Scientific Literature Chapter 2 Analyzing a Scientific Paper Chapter 3 Writing a Paper Review Chapter 4 Systematic Literature Reviews
Unit 4 Data Chapter 1 The Nature of Data Chapter 2 Collecting Primary Data Chapter 3 Collecting and Analyzing Secondary Data Chapter 4 Quantitative Data Analysis Chapter 5 Qualitative Data Analysis
Unit 5 Writing Up your Work Chapter 1 Writing a Scientific Research Paper Chapter 2 Writing a Thesis

Teaching methodology

Lectures, group discussion, independent research, collaborative discussion.

Assessment

Presentation of thesis topic (20%) Student needs to present their thesis topic in front of an audience.
Written literature review report (50%) Student needs to write a literature review on a selected topic.
Presentation of literature report (30%) Student needs to present their literature review in front of an audience.

Medical Imaging

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge on various medical imaging methods and skills/competencies in design and analysis of medical imaging solutions. This course aims to describe the most important theoretical and practical parameters of the various imaging methods. The course examines the physical principles of the main types of medical imaging such as ultrasound, magnetic resonance imaging, X-rays, CT, SPECT, PET, optical coherence tomography (OCT), and electrical impedance tomography (EIT). The most important knowledge that will be developed through the course is the elaboration and understanding, separation and use of the above concepts. With this knowledge, students will be able to provide solutions to medical imaging problems as well as analyze the data that emerge from them.

What you will learn

Differentiate, classify and compare medical imaging such as ultrasound, magnetic resonance imaging, X-rays, CT, SPECT, and PET.
Analyze applications of the above imaging systems.
Critically distinguish the difference of the above imaging modalities using quantitative comparison factors.
Identify and recommend important requirements for the approval of medical devices

Meet your instructor

Christakis Damianou

Course content

Session 1-2: Physical principles of the main types of medical imaging such as ultrasound, magnetic resonance imaging, X-rays, CT, SPECT, PET, optical coherence tomography (OCT), and electrical impedance tomography (EIT).
Session 3-4: Ultrasound will focus on topics such as waves (transverselongitudinal), ultrasound speed calculation, wavelength, A-Mode, B-Mode, M-Mode, acoustic impedance, reflection, refraction, scattering, attenuation, absorption, transducer design, ultrasound technical errors, ultrasonic doppler, calculation of intensity mechanical and thermal index, ultrasonic components (linear-phase etc.), distinctive ability (axial / lateral), ultrasound imaging phantoms for diagnostic ultrasound, and ultrasound wave equations.
Session 5-6: In magnetic resonance imaging, emphasis will be given to issues such as magnetization creation, Larmor equation, tuning, magnetic resonance imaging, T1 and T2 relaxation, Hardware, Fast spin Echo, Frequency and phase coding, 2-dimensional display, slice selection, Kspace, fast sequences, fMRI and the physical properties of various specialized sequences.
Session 7: X-rays, X-ray tube construction, X-ray interaction with tissues, Xray spectrum, Fluoroscopy, Digital subtraction angiography, Mammography, Osteoporosis Measurement (DEXA method), Dental applications, Linear accelerators, SPECT (γ camera), PET (Cyclotron), Approval of medical devices (CE, FDA), Application for clinical trials.
Session 8: Finally, optical coherence tomography (OCT) and electrical impedance tomography (EIT) will be reviewed.

Teaching methodology

Presentations, group discussion, and laboratory demonstrations.

Assessment

Midterm exam (30%) Will include combination of numerical exercises and open-ended theoretical questions.
Exercises (20%) Written assignements throughout the course.
Final written exam (50%) Will include combination of numerical exercises and open-ended theoretical questions.

Advanced Digital Signal Processing II

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge of more advanced digital signal processing methodologies and skills/competencies in analysis of practical problems. The course teaches the theoretical background of digital signal processing methodologies verified by series of computer projects and applications of real problems.

What you will learn

Multirate digital signal processing applications in various practical applications and least-square methods for designing a variety of systems.
Develop solutions for practical problems with a combination of advanced signal processing methodologies.
Evaluate the performance of system modeling and estimation/prediction methods in modern applications

Meet your instructor

Takis Kasparis

Course content

Session 1: Multirate digital signal processing and applications
Session 2: Least-square methods for system modeling and filter design
Session 3: Forward and backward linear prediction
Session 4: AR, MA and ARMA modeling
Session 5: Inverse systems and deconvolution
Session 6: Weiner filters
Session 7: Power spectrum estimation.
Session 8: Introduction to adaptive filters

Teaching methodology

Presentations, group discussions, case studies.

Assessment

Midterm exam (25%) Will include combination of numerical exercises and open-ended theoretical questions.
Computer Projects (35%)
Numerical and theoretical exercises (10%).
Final written exam (30%) Will include combination of numerical exercises and open-ended theoretical questions

Introduction to Photonics

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge on photonics and skills/competencies in the design and performance analysis of communication systems based on photonics. The course will first provide an introduction to photonics and optical communication followed by the analysis of different communication technologies and their practical applications.

What you will learn

Differentiate, categorize, and compare different photonics and optical communication technologies.
Identify the characteristics of optical devices and specify their functionalities.
Propose communication solutions based on photonics technologies.
Evaluate and compare the performance of practical optical communication solutions.

Meet your instructor

Kyriacos Kalli

Course content

Session 1: Introduction to Photonics and Optical Communication Overview of photonics and the applications in different areas such as information technology and communications, healthcare, life sciences, optical sensing, lighting, energy and manufacturing. The evolution of light-wave systems will be discussed before the basics of optical communications systems will be introduced. Session 2: Nature of light and the production of EM radiation for photonics applications i) Wave Nature of Light Light waves in homogeneous media. Refractive index. Group velocity and group index. Magnetic field, Irradiance and Poynting vector. Snell’s law and total internal reflection. Fresnel’s equations. Multiple interference and optical resonators. Temporal and spatial coherence. Diffraction principles. Polarisation. Methods to define the characteristics of light mathematically (Stokes parameters, Jones vectors & matrices) and how to determine these characteristics. ii) Optical sources and transmitters Principles of light emission and amplification in semiconductors, light emitting diodes, semiconductor lasers (edge emitting lasers and VCSELs). Semiconductor science and light emitting diodes (LED). Semiconductor concepts and energy bands. Direct and indirect band-gap semiconductors: E-k diagrams. Pn junction principles and band diagram. LED and materials. Heterojunction high intensity LED and characteristics. Steady state semiconductor rate equation. LED for Optical fibre communications. Single frequency solid state lasers. Quantum well devices. Optical amplifiers. Session 3: Optical waveguides The propagation of light in optical waveguides.Dielectric waveguides and optical fibres. Symmetric planar dielectric slab waveguide. Modal and waveguide dispersion in the planar waveguide. Step index fibre. Numerical aperture. Dispersion in single mode fibres. Bit-rate, dispersion and optical non-linearities, Electrical and optical bandwidth. Graded index optical fibre. Attenuation in optical fibres-light absorption and scattering. Fibre manufacture. Session 4: Optical detectors and receivers The detection of light and the demodulation of light including photoconductors, photodiodes and receiver systems. Principle of the p-n junction photodiode. External photocurrent. Absorption coefficient and photodiode materials. Quantum efficiency and responsivity. The pin, avalanche and heterojunction photodiodes. Phototransistors. Photoconductive detectors and photoconductive gain. Noise in photodetectors. Generic system issues: sources of noise and signal-to-noise ratio, limitations on temporal response and effective bandwidth. Sesison 5-6: Imparting information onto EM radiation & communication techniques i) Basic modulation principles Polarisation and modulation of light. Light propagation in anisotropic media: birefringence. Birefringent optical devices. Optical activity and circular birefringence. Electro-optic effects. Integrated optical modulators. Acousto-optic modulator. Magneto-optic effects. Non-linear optics and second harmonic generation. ii) Modulation Acousto-optic and electro-optic techniques, LED switching, analogue and digital techniques using lasers, AM, FM, phase modulation techniques Session 7-8: Applications for light-wave systems A summary of important concepts of digital communication including base band and broadband digital transmission, bit error rate, bit group error rate and time division multiplexing (TDM) and wavelength division multiplexing (WDM). Trends and new directions in photonic applications i) Noise and detection Noise arising from the properties of fibres, transmitters, receivers and amplifiers as well as the determination of the bit error rate. ii) Optical MUX and DEMUX The operating principle of multiplexers and demultiplexers. Different optical devices, essential to optical networks, optical amplifiers, polarisation control devices, optical isolators, optical filters and diffraction gratings, modulators and switches. iii) Optical systems design Design process for a point-to-point optical links.

Teaching methodology

Lectures, group discussion, independent learning.

Assessment

Midterm exam (30%) Will include combination of numerical exercises and open-ended theoretical questions.
Exercises (20%) Written assignements throughout the course.
Final written exam (50%) Will include combination of numerical exercises and open-ended theoretical questions.

Wireless Communications

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge on wireless communication systems and skills/competencies in the design and performance analysis of wireless communication systems. The course will cover a wide range of subjects including the basic principles, design and performance analysis of cellular systems, the modeling of radio propagation in the wireless channel and multiple access techniques (FDMA, TDMA, CDMA).

What you will learn

Differentiate, categorize, and compare different wireless communication technologies.
Identify the characteristics of wireless devices and specify their functionalities.
Propose communication solutions based on wireless technologies.
Evaluate and compare the performance of practical wireless communication solutions.

Meet your instructor

Michalis Michaelides

Course content

Session 1: Introduction in the technological field of wireless communications.
Session 2: Basic principles, design and performance analysis of cellular systems
Session 3-4: Modeling of radio propagation in the wireless channel
Sessions 5-6: Multiple access techniques (FDMA, TDMA, CDMA)
Session 7: Outlook on future technologies
Sesison 8: Practical applications and code development.

Teaching methodology

Lectures, group discussion and problem solving, and project-based learning

Assessment

Midterm exam (30%) Will include combination of numerical exercises and open-ended theoretical questions.
Project (20%) Group project assigned to the students during the semester.
Final written exam (50%) Will include combination of numerical exercises and open-ended theoretical questions.

Electronic System Design

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to understand and master the general methods and skills of electronic system design. The course covers systematic to study of integrated operational amplifiers, power semiconductor devices, new semiconductor sensors, new integrated circuits, data communication technology, power system design, filter design, Multisim circuit simulation technology, electronic system design example analysis.

What you will learn

Master the ability of comprehensive design of general electronic system.
Analyze of relevant cases of integrated circuits and semiconductors,
Understand the application of integrated circuits and semiconductors in automotive electronics and industrial automation control system,
Identify and summarize common problems in electronic system design.
Evaluate and assess the performance of proposed solutions related to electronic system.

Meet your instructor

Mingyu Gao

Course content

Session 1: Operational amplifiers
Session 2: Amplification circuit design (part 1)
Session 3: Amplification circuit design (part 2)
Session 4: Power semiconductor devices
Session 5: Power system design
Session 6: Semiconductor sensor and filter design
Session 7: MCU / ARM (part 1)
Session 8: MCU / ARM (part 2)
Session 9: A / D and D / A conversion circuit design (part 1)
Session 10: A / D and D / A conversion circuit design (part 2)
Session 11: Communication circuit design
Session 12: Circuit simulation technologies based on Multisim
Session 13: Examples of integrated electronic system design.

Teaching methodology

Lectures, group discussion for problem solving, collaborative learning, independent learning

Assessment

Assignments (40%) Written assignements throughout the course.
Final examination （60%） Will include combination of numerical exercises and open-ended theoretical questions.

Analogue and Mixed IC Design

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to establish a theoretical foundation and gradually master the methodology of analog and mixed IC design for students. The course covers the basic knowledge of analog integrated circuit design and the course design. The first aspect is the basis theory of electric circuit, including the background and development of analog and mixed-signal integrated circuit, CMOS integrated circuit technology and active device, single stage amplifier, differential amplifier, current mirror, active load and voltage reference circuit, output stage, operational amplifier. The other aspect is the course design, including designing and simulating a module of integrated circuit according to circuit requirements

What you will learn

Analyze complex analog and mixed-signal integrated circuit
Design integrated circuit according to circuit requirements
Master expertly the use of EDA software to simulate integrated circuits
Evaluate and assess the performance of analog and mixed-signal integrated circuit

Meet your instructor

Hui Hong

Course content

Session 1: Background and design process
Session 2: CMOS technology
Session 3: Single transistor amplifier
Session 4: Differential amplifier
Session 5: Current sink and current mirror
Session 6: Voltage and current reference
Session 7: Output stage
Session 8: CMOS amplifier design
Session 9: Frequency Response of Amplifiers
Session 10: Op-Amps characteristics and frequency compensation
Session 11: Course design
Session 12: Course design
Session 13: Course design

Teaching methodology

Presentations, group discussions, case studies.

Assessment

In-class assessment (30%) Will include combination of regular discussions, classroom questioning, etc.
Design project (70%) Will include combination of circuit design and design report.

Nano Sensor Principles and Applications

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote nano sensor principles and applications and skills/competencies to design a multi-function board-level micro systems using embedded software, hardware design technology, signal detection and processing technology. The course covers the basic theory of micro-nano sensors and the application of sensing technology. It also discusses the micro-nano processing method of the micro-nano sensing system.

What you will learn

Analyze modern external signal detection technology
Identify the role of external signal detection and processing
Master the physical structure design of signal detection devices
Evaluate and assess the performance of multi-function board-level micro systems
establish a systematic understanding of the application of various external physical signal acquisition principles

Meet your instructor

Linxi Dong

Course content

Session 1: Introduction and its basic signal
Session 2: Measure physical signals and their data fit
Session 3: The theoretical basis of the sensor (part 1)
Session 4: The theoretical basis of the sensor (part 2)
Session 5: Strain sensor
Session 6: Inductive sensor
Session 7: Capacitive sensor
Session 8: Piezoelectric sensors
Session 9: Magnetic sensors
Session 10: Photoelectric sensor
Session 11: Thermoelectric sensors
Session 12: semiconductor sensors
Session 13: Application example of micro sensor

Teaching methodology

Lectures, questioning and discussion, independent learning, independent research.

Assessment

Midterm report (40%) Will include combination of micro- nano sensors’ principles and openended theoretical questions.
Final written exam (60%) Will include combination of micro- nano sensors’ principles and open-ended theoretical questions.

Microelectronic Device Evaluating and Modeling

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to provide students with a basic understanding of semiconductor device modelling. The course covers the background theory of device modelling, passive and active device model methodology, and device models’ application in advanced EDA tools. It also discusses the characterization method of semiconductor devices for modelling.

What you will learn

 Analyze the compact model structure  Identify the role of EDA tools in the modelling process  Collect the semiconductor characteristics with measurement techniques  Construct a model with the model description language of Verilog-A  Construct a model for passive and active device modelling with modern EDA tools  Evaluate and assess the performance of proposed models

Meet your instructor

Jun Liu

Course content

 Session 1: Introduction of semiconductor device modelling.  Session 2: Establish a model with Verilog-A.  Session 3: Passive device modelling of CMOS process (part 1).  Session 4: Passive device modelling of CMOS process (part 2).  Session 5: Active device modelling of CMOS process (part 1).  Session 6: Active device modelling of CMOS process (part 2).  Session 7: Bipolar device modelling of BiCMOS process.  Session 8: Modeling of MOSFET Devices in CMOS Technology  Session 9: Semiconductor Device Testing and Modeling Based on Agilent IC-CAP.  Session 10: Passive and active device modelling of the compound process.  Session 11: On-wafer measurement techniques of RF semiconductor devices.  Session 12: Devices and Models in Compound Semiconductor Processes.  Session 13: Quality assurance of device model and PDK.

Teaching methodology

Lectures, group discussion for problem-solving

Assessment

 Class assignment (40%) Will include a combination of device model analysis and open-ended theoretical questions.  Final assessment (60%) Will include a combination of device model analysis and open-ended theoretical questions

Novelty Class: FPGA Application Training

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

This course aims to provide the practical process of FPGA application for master students of relevant disciplines through guided teaching and hands-on practice, explore the main new theories and technologies, representative methods and some typical application examples in FPGA application, and track the development trend and hot research direction of modern FPGA application. The course covers the performance analysis and application of the modern FPGA based software and hardware collaborative, and cultivate the practical ability of FPGA.

What you will learn

Identify and summarize the main new theories and technologies in FPGA application.
Analyze the development trend and hot research direction of modern FPGA application.
Test the basic theory and implementation method of modern FPGA application.
Propose and formulate solutions for common problems Common problems in complex applications based on FPGA
Evaluate the software and hardware collaborative design method based on FPG

Meet your instructor

Jiye Huang

Course content

 Session 1: YUV to RGB video displaying (Part 1)  Session 2: YUV to RGB video displaying (Part 2)  Session 3: CRC fast checking (Part 1)  Session 4: CRC fast checking (Part 2)  Session 5: Hardware Language and FPGA technology Learning(part 1)  Session 6: Hardware Language and FPGA technology Learning(part 2)  Session 7: Realization of 256-point FFT (Part 1)  Session 8: Realization of 256-point FFT (Part 2)  Session 9: Self designed comprehensive training project based on FPGA (Part 2)  Session 10: Self designed comprehensive training project based on FPGA (Part 2)  Session 11: Self designed comprehensive training project based on FPGA (Part 3)  Session 12: Practical cases learning  Session 13: Practical cases learning

Teaching methodology

Lectures, group discussion, lab experiment, collaborative learning, independent learning, independent research, project-based learning

Assessment

Midterm exam (40%) Will include combination of exercises and open-ended questions.
Final written exam (60%) Will include course report and physical acceptance (divided into four parts: theory, design, implementation and defense, each accounting for 25% of the final examination).

IC Technology and Progress

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge of semiconductor or microelectronic fabrication. The course covers the covers the entire basic unit processes used to fabricate integrated circuits and other devices.

What you will learn

Master the basic principles, methods
Design key microelectronics processes
Experiment the main process equipment and testing instruments
Arrange the manufacturing process of typical integrated circuit chips

Meet your instructor

Tiejun Zhou

Course content

Section 1: introduction of integrated circuit and nanotechnology
Section 2: introduction of semiconductors
Section 3: fabrication of Si wafers
Section 4: chemical mechanical polishing
Section 5: oxidation and doping
Section 6: introduction of vacuum technology
Section 7: film deposition by chemical means
Section 8: film deposition by physical means
Section 9: etching by chemical and physical means
Section 10: lithography
Section 11: ion implantation gettering
Section 12: Chip Package
Section 13: Chip test

Teaching methodology

Lecture, teaching and practice in clean room

Assessment

Midterm Presentation (40%) Will include an introduction and summary of topics relevant to this course
Final course paper (60%) Will include combination of numerical exercises and open-ended theoretical questions.

Integrated Microsystems

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge of microelectronic mechanical systems (MEMs) and skills/competencies in the design and performance analysis of typical microelectronic mechanical systems. It also discusses some basic principles, processing technology and design methodology of these systems.

What you will learn

Master basic theory of MEMs technology;
Identify and summarize pros and cons in existing MEMs technology
Experiment basic processing techniques and design methodology of MEMs
Evaluate and assess the performance of MEMs

Meet your instructor

Ningning Wang

Course content

Session 1: Introduction of MEMS
Session 2: Basic principles and common methods of MEMS design
Session 3: Microsystem Design Process
Session 4: Microsystem Design Methods
Session 5: Microsystem Modular Design
Session 6: Microsystem Integrated Design
Session 7: Key Technologies of Microsystem Design
Session 8: manufacturing process of a typical MEMS system
Session 9: Lithography and Etching Technology
Session 10: MEMs sensors
Session 11: Calibration and Self-Calibration of Smart Sensors
Session 12: Typical Microsystem - Lab on a Chip
Session 13: Industry applications.

Teaching methodology

Lectures, independent research, project-based learning

Assessment

Lab assignment (40%) Will include lab assignment and open-ended theoretical questions.
Final written exam (60%) Will include project based essay and open-ended theoretical questions.

Novelty Class: Radio Frequency Practical Training

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

What you will learn

Meet your instructor

TBA

Course content

Teaching methodology

Assessment

Design and Analysis of RF Transceiver Module

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course is to foster and promote knowledge of RF communication circuits and the simulation software ADS related to the front-end circuit module design of RF communication. The course covers the circuits design, the basic principles including low noise amplifier and power amplifier, broadband amplifier, mixer, oscillator. It also discusses software simulation, circuit optimization design, the layout design with PCB board and processing technology.

What you will learn

Master Basic knowledge in the design, simulation software, and circuit principles.
test the RF circuits
Identify and summarize common problems in circuit debugging
Evaluate and assess the performance of RF communication circuits
Experiment the use of RF test instruments.

Meet your instructor

Zhiqun Cheng

Course content

Session 1: Introduction of RF Transceiver Module
Session 2: Design of low noise amplifier circuits (part 1)
Session 3: Design of low noise amplifier circuits (part 2)
Session 4: Design of power amplifier circuits
Session 5: Design of broadband amplifier circuits (part 1)
Session 6: Design of broadband amplifier circuits (part 2)
Session 7: Design of mixer circuits
Session 8: Design of oscillator circuits
Session 9: Process and design of PCB circuits (part 1)
Session 10: Process and design of PCB circuits (part 2)
Session 11: Testing and debugging of circuits
Session 12: Practical examples (Part 1)
Session 13: Practical examples (Part 2)

Teaching methodology

Lectures, group discussion for problem solving, independent learning

Assessment

Assignments (30%) Written assignments throughout the course.
Final examination （70%） Will include combination of numerical exercises and open-ended theoretical questions.

Deep learning and AI Application

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

The aim of this course focuses on machine learning models and several key steps of deep learning in the design and performance analysis of the major parts of deep neural network. This course covers image data preprocessing, convolutional neural networks, pooling, activation function design and selection, network construction and training, and analysis of training results.

What you will learn

Analyze and understand the basic knowledge in the field of artificial intelligence
Design networks for specific applications, process data, train and optimize networks
Evaluate and assess the performance of proposed solutions related to Object classification and detection
Construct the engineering needs of artificial intelligence systems with MATLAB or Python

Meet your instructor

Mian Pan

Course content

Session 1: Overview of Machine Learning Framework and Steps
Session 2: Principles and Implementation of Classical Machine Learning Algorithms
Session 3: Machine Learning (ML) Strategies
Session 4: Convolutional Neural Network
Session 5: Convolutional Neural Networks – Programming Practice
Session 6: Basic Algorithms of Deep Learning
Session 7: Deep Convolutional Neural Networks
Session 8: Deep Convolutional Neural Networks– Programming Practice
Session 9: The Object Detection Based on Deep Learning Neural Networks
Session 10: Design and Implementation of the Object Detection Based on Deep Learning Neural Networks Based on Matlab Platform
Session 11: Network Design and Implementation
Session 12: Programming for the Design and Implementation of the Object Detection
Session 13: final project design and field Report

Teaching methodology

Assessment

Assignments (40%) Written assignments throughout the course.
Final examination （60%） Will include combination of numerical exercises and open-ended theoretical questions.

Novelty Class: Antenna Design and Training

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

What you will learn

Meet your instructor

TBA

Course content

Teaching methodology

Assessment

Novelty Class: Practice and application of Internet of Things

Fri, 01 Jan 2021 00:00:00 +0000

Course overview

This course is a follow-up course of Embedded System and Applications. The aim of this course is to promote the knowledge of basic open source hardware and Linux Ability to design and develop environment independently. This course covers Arduino and raspberry PI open-source hardware platform and QT software platform.

What you will learn

Practice systematic training on Internet of Things and maker practiceindependently
Master basic open source hardware and Linux Ability to design and develop environment independently.
cultivate strong innovation ability and comprehensive ability of internet of things
Identify the new situation and demands of source hardware and Linux of enterprises

Meet your instructor

Jiadong CUI

Course content

Session 1: Fundamental: What is Internet of Things
Session 2: State of the Internet of Things
Session 3: Elements of realizing the IoT
Session 4: IoT devices and protocols
Session 5: Open source hardware platform, Arduino and raspberry PI (part 1)
Session 6: Open source hardware platform, Arduino and raspberry PI (part 2)
Session 7: IoT programming with Linux system, commands and programming (part 1)
Session 8: IoT programming with Linux system, commands and programming (part 2)
Session 9: IoT and data analysis and observability
Session 10: Building IoT GUI with QT (part 1)
Session 11: Building IoT GUI with QT (part 2)
Session 12: Industrial practice of IoT
Session 13: The future of the Internet of Things

Teaching methodology

Lectures, group discussion and problem solving

Assessment

Midterm exam (40%) Will include combination of exercises and open-ended questions.
Final written exam (60%) Will include course report and physical acceptance (divided into four parts: theory, design, implementation and defense, each accounting for 25% of the final examination).