Electrical & Computer Engineering

ECE 1799. FRONTIERS AND CURRENT ISSUES OF ELECTRICAL AND COMPUTER ENGINEERING

Cat. I (1/6 unit semester course, spread out evenly over A and B terms)

This is a seminar-based course intended for First Year students seeking to
understand the breadth of activities, career choices and technology that are
considered to comprise Electrical and Computer Engineering. Students
considering ECE as a major, both those who are “decided” as well as those who
are “undecided” should enroll in ECE 1799. The class meets once a week during
the fall semester (A & B terms).

Note: There are no “recommended” or “suggested” courses for this description.

ECE 2010. INTRODUCTION TO ELECTRICAL AND COMPUTER ENGINEERING

The objective of this course is to introduce students to the broad field of
electrical and computer engineering within the context of real world applications.
This course is designed for first-year students who are considering ECE as
a possible major or for non-ECE students fulfilling an out-of-major degree
requirement.
The course will introduce basic electrical circuit theory as well as analog and
digital signal processing methods currently used to solve a variety of engineering
design problems in areas such as entertainment and networking media, robotics,
renewable energy and biomedical applications. Laboratory experiments based on
these applications are used to reinforce basic concepts and develop laboratory
skills, as well as to provide system-level understanding. Circuit and system
simulation analysis tools are also introduced and emphasized.
Topics: Basic concepts of AC/DC and Digital electrical circuits, power, linear
circuit simulation and analysis, op-amp circuits, transducers, feedback, circuit
equivalents and system models, first order transients, the description of
sinusoidal signals and system response, analog/digital conversion, basic digital
logic gates and combinatorial circuits.
Recommended Background: high school physics, and MA 1022 (concurrent).

ECE 2019. SENSORS, CIRCUITS, AND SYSTEMS

Cat. I

This course investigates commonly used sensors such as resistive temperature
sensors, capacitive touch sensors, and inductive motion sensors and actuators.
Numerous applications are presented to motivate coverage of fundamental
operating principles of circuit elements such as resistors, capacitors, and
inductors; model the signals produced by these sensors; and analyze the circuits
and systems used to amplify and process these signals. After a review of
Kirchhoff ‘s current and voltage laws, fundamental analysis techniques such as
Thevenin and Norton’s theorems and the superposition principle are used to
model and analyze sensors, circuits, and systems. Concepts from analysis of
linear, time-invariant continuous-time signals and systems are introduced as
necessary, including Fourier series and characterization of systems such as filters
in both the frequency domain (bandwidth, transfer function) and time domain
(rise time, step response). Capacitance, inductance and mutual inductance are
explored as energy storage elements, including consideration of resonance and
energy losses in power systems. Concepts will be reinforced with the use of
laboratory exercises and computer simulation.
Recommended background: ECE 2010, MA 1024 (or equivalent),
PH 1120/21 and MA 2051 (concurrent)
Note: Students who have received credit for ECE 2111 may not receive credit
for ECE 2019.

ECE 2029. INTRODUCTION TO DIGITAL CIRCUIT DESIGN

Cat. I

Digital circuits are the foundation upon which the computers, cell phones, and
calculators we use every day are built. This course explores these foundations by
using modern digital design techniques to design, implement and test digital
circuits ranging in complexity from basic logic gates to state machines that
perform useful functions like calculations, counting, timing, and a host of other
applications. Students will learn modern design techniques, using a hardware
description language (HDL) such as Verilog to design, simulate and implement
logic systems consisting of basic gates, adders, multiplexers, latches, and
counters. The function and operation of programmable logic devices, such as
field programmable gate arrays (FPGAs), will be described and discussed in
terms of how an HDL logic design is mapped and implemented. Experiments
involving the design of combinational and sequential circuits will provide
students a hands-on introduction to basic digital electrical engineering concepts
and the skills needed to gain more advanced skills. In the laboratory, students
will construct, troubleshoot, and test the digital circuits that they have developed
using a hardware description language. These custom logic designs will be
implemented using FPGAs and validated using test equipment.
Topics: Number representations, Boolean algebra, design and simplification of
combinational circuits, arithmetic circuits, analysis and design of sequential
circuits, and synchronous state machines.
Lab exercises: Design, analysis and construction of combinational and
sequential circuits; use of hardware description languages to implement, test,
and verify digital circuits; function and operation of FPGAs.

Recommended background: Introductory Electrical and Computer
Engineering concepts covered in a course such as ECE 2010 or RBE 1001, and
MA 1022.

Note: Students will not be able to receive credit for both ECE 2022 and
ECE 2029.

ECE 2049. EMBEDDED COMPUTING IN ENGINEERING DESIGN

Cat. I

Embedded computers are literally everywhere in modern life. On any given day
we interact with and depend on dozens of small computers to make coffee, run
cell phones, take pictures, play music, control elevators, manage the
emissions and antilock brakes in our automobile, control a home security
system, and so on. Using popular everyday devices as case studies, students in
this course are introduced to the unique computing and design challenges posed
by embedded systems. Students will then solve real-world design problems using
small, resource constrained (time/memory/power) computing platforms. The
hardware and software structure of modern embedded devices and basic
interactions between embedded computers and the physical world will also be
covered in lecture and as part of laboratory experiments. In the laboratory,
emphasis is placed on interfacing embedded processors with common sensors
and devices (e.g. temperature sensors, keypads, LCD display, SPI ports, pulse
width modulated motor controller outputs) while developing the skills needed
to use embedded processors in systems design. This course is also appropriate for
RBE and other engineering and CS students interested in learning about
embedded system theory and design.
Topics: Number/data representations, embedded system design using C,
microprocessor and microcontroller architecture, program development and
debugging tools for a small target processor, hardware/software dependencies,
use of memory mapped peripherals, design of event driven software, time and
resource management, applications case studies.
Lab Exercises: Students will solve commonly encountered embedded
processing problems to implement useful systems. Starting with a requirements
list students will use the knowledge gained during the lectures to implement
solutions to problems which explore topics such as user interfaces and
interfacing with the physical world, logic flow, and timing and time constrained
programming. Exercises will be performed on microcontroller and/or
microprocessor based embedded systems using cross platform development tools
appropriate to the target platform.

Recommended Background: ECE 2010 or equivalent knowledge in basic
circuits, devices and analysis; and C language programming (CS 2301 or
equivalent)

Suggested Background: ECE 2029 or equivalent knowledge of digital logic,
logic signals and logic operations;

Note: Students who have received credit for ECE 2801 may not receive
credit for ECE 2049.

ECE 2112. ELECTROMAGNETIC FIELDS

Cat. I

The object of this course is a comprehensive treatment of electromagnetic
engineering principles covering the entire application spectrum from static to
dynamic field phenomena.
The starting point will be the basic electric and magnetic field definitions of Coulomb
and Biot-Savart leading to Gauss’s and Ampere’s laws. They form the foundation of electro- and magnetostatics fields. Students will examine capacitive and inductive
systems and relate them to lumped element circuit models. By introducing tempora l
and spatial magnetic flux variations, Faraday’s law is established. The engineering
implications of this law are investigated in terms of transformer and motor actions.
Incorporation of the displacement current density into Ampere’s law and combining it
with Faraday’s law will then culminate in the complete set of Maxwell’s field equations.
As a result of these equations, students will develop the concept of wave propagation in
the time and frequency domain with practical applications such as wireless communication,
radar, Global Positioning Systems, and microwave circuits.
Recommended background: ECE 2019.

ECE 2201. MICROELECTRONIC CIRCUITS I

Cat. I

This course is the first of a two-course sequence in electronic circuit design. It
begins with a substantive treatment of the fundamental behavior of semiconductor
materials and moves on to the semiconductor diode, the bipolar transistor,
and the field-effect transistor. Laboratory exercises are provided to reinforce the
theory of operation of these devices. Numerous circuit applications are
considered, including: power supplies, transistor amplifiers, and FET switches.

Topics include: the pn junction, diode operation, transducers, rectification, voltage
regulation, limiting and clamping circuits, transistor operation, biasing, small-signal
and large-signal models, transistors amplifiers, and switching applications.
Recommended background: ECE 2019.

ECE 2305. INTRODUCTION TO COMMUNICATIONS AND NETWORKS

Cat. I

This course provides an introduction to the broad area of communications and
networking, providing the context and fundamental knowledge appropriate for
all electrical and computer engineers, as well as for further study in this area.
The course is organized as a systems approach to communications and
networking. Topics include key concepts and terminology (delay, loss,
throughput, bandwidth, etc.), types of transmission media, addressing,
switching, routing, networking principles and architectures, networking
protocols, regulatory and applications issues.

Recommended background: ECE 2010.

ECE 2311. CONTINUOUS-TIME SIGNAL AND SYSTEM ANALYSIS

Cat. I

This course provides an introduction to time and frequency domain analysis of
continuous time signals and linear systems. Topics include signal characterization
and operations; singularity functions; impulse response and convolution;
Fourier series; the Fourier transform and its applications; frequency-domain
characterization of linear, time-invariant systems such as filters; and the Laplace
transform and its applications.

Recommended background: MA 2051, ECE 2019 and a prior course in computer programming such as CS 2301 or CS 1101/2/4.

ECE 2312. DISCRETE-TIME SIGNAL AND SYSTEM ANALYSIS

Cat. I

This course provides an introduction to the time and frequency domain analysis of
discrete-time signals and linear systems. Topics include sampling and quantization,
characterization of discrete-time sequences, the discrete-time Fourier transform, the discrete Fourier transform and its applications, the Z transform and its applications, convolution, characterization of FIR and IIR discrete-time
systems, and the analysis and design of discrete-time filters. The course will include a focus on applications such as sampling and quantization, audio processing, navigation systems, and communications. Extensive use will be made of simulation tools including Matlab.
Recommended background: MA 2051, ECE 2311 and a prior course in computer programming such as CS 2301 or CS 1101/2/4.

ECE 2799. ELECTRICAL AND COMPUTER ENGINEERING DESIGN

Cat. I

The goal of this course is to provide experience with the design of a system,
component, or process. Basic sciences, mathematics, and engineering sciences
are applied to convert resources to meet a stated objective. Fundamental steps of
the design process are practiced, including the establishment of objectives and
criteria, synthesis, analysis, manufacturability, testing, and evaluation. Student
work in small teams and are encouraged to use creativity to solve specific but
open-ended problems, and then present their results.
ECE 2799 is strongly recommended for all students as a preparation for the
design element of the MQP. It is anticipated that ECE 2799 will be of most
benefit to students when taken well in advance of the MQP (late sophomore
year or early junior year).

Recommended background: At least three of ECE 2019, ECE 2029, ECE 2049, ECE 2311.

ECE 3012. INTRODUCTION TO CONTROL SYSTEMS ENGINEERING

This course provides an introduction to the analysis and design of continuous-time control systems. Topics covered in the course include: modeling in the frequency and time domain, characteristics of control systems time response, reduction of multiple subsystems, analysis of systems transient response, stability, steady-state errors, root locus techniques, design of PI, PD, and PID controllers via root locus, frequency response techniques, and design via frequency response. The course will not have a formal laboratory. It will include projects which will require the use of software such as MATLAB, Simulink, or LabVIEW for analysis and design of control systems.
Recommended Background: Ordinary Differential Equations (MA 2051), Sensors, Circuits, and Systems (ECE 2019), and Continuous-time Signal and System Analysis (ECE 2311).
Students may not receive credit for both ES3011 and ECE3012.

ECE 3113. INTRODUCTION TO RF CIRCUIT DESIGN

Cat. I

This course is designed to provide students with the basic principles of radio
frequency (RF) circuit design. It concentrates on topics such as designing tuning
and matching networks for analog and digital communication, satellite
navigation, and radar systems.

After reviewing equivalent circuit representations for RF diodes, transistors,
FETs, and their input/output impedance behavior, the course examines the
difference between lumped and distributed parameter systems. Characteristics
impedance, standing waves, reflection coefficients, insertion loss, and group
delay of RF circuits will be explained.

Within the context of Maxwell’s theory the course will then focus on the
graphical display of the reflection coefficient (Smith Chart) and its importance
in designing matching circuits. Students will learn the difference between SPICE
and monolithic and microwave integrated circuit analysis, and design
(MMICAD) modeling. Biasing and matching networks for single and
multistage amplifiers in the 900 to 2,000 MHz range are analyzed and
optimized in terms of input/output impedance matching, insertion loss, and
groups delays.

Recommended background: ECE 2019, ECE 3204.
Suggested background: ECE 2112.

ECE 3204. MICROELECTRONIC CIRCUITS II

Cat. I

This course is the second of a two-course sequence in electronic circuit design. More
complex circuits are analyzed and the effects of frequency and feedback are considered
in detail. The course provides a comprehensive treatment of operational amplifier
operation and limitations. The use of Bode plots to describe the amplitude and phase
performance of circuits as a function of operating frequency is also presented. In
addition, the concepts of analog signal sampling, analog-to-digital conversion and
digital-to-analog conversion are presented along with techniques for interfacing analog
and digital circuitry. Laboratory exercises are provided to reinforce student facility with
the application of these concepts to the design of practical circuits.
Topics include: transducers; differential amplifiers, inverting/non-inverting
amplifiers, summers, differentiators, integrators, passive and active filers, the
Schmitt trigger, monostable and a-stable oscillators, timers, sample-and-hold
circuits, A/D converters, and D/A converters.
Recommended background: Introductory electronic-circuit design and analogsignal
analysis as found in ECE 2201 and ECE 2311.

ECE 3308. INTRODUCTION TO WIRELESS NETWORKS

Cat. I

This course is intended for students interested in obtaining a systems-level
perspective of modern wireless networks. It starts with an overall understanding
of telecommunication and computer communication networks. Then the
fundamental theory of operation of wireless networks as well detailed description
of example networks will be covered. Topics included in the course are an
overview of computer networks, an overview of wireless network standards and
products, radio channel modeling and medium access control, deployment of
wireless infrastructures, and examples of voice- and data-oriented wireless
networks using TDMA, CDMA, and CSMA access methods.
With extra work, this course can be successfully completed by non-
ECE students; basic concepts of radio propagation, transmission, and medium
access control will be introduced as needed.
Recommended
background: MA 1022 and PH 1120.
Suggested background: ECE 2312 and
ECE 2305.

ECE 3311. PRINCIPLES OF COMMUNICATION SYSTEMS

Cat. I

This course provides an introduction to analog and digital communications
systems. The bandpass transmission of analog data is motivated and typical
systems are analyzed with respect to bandwidth considerations and implementation
techniques. Baseband and passband digital transmission systems are
introduced and investigated. Pulse shaping and intersymbol interference criteria
are developed in relation to the pulse rate transmission limits of bandlimited
channels. Finally, digital carrier systems and line coding are introduced in
conjunction with applications to modern modem transmission schemes.

Recommended background: MA 1024 and ECE 2312.

Suggested background: ECE 2305.

ECE 340X FOUNDATIONS AND TRENDS IN MACHINE LEARNING FOR ENGINEERING

Machine learning has achieved huge success in many engineering applications such as computer vision, gene discovery, financial forecasting, credit card fraud detection, autonomous vehicle navigation, biomedical signal modeling, wireless/radar/aerospace systems and others. The course will briefly review discrete-time signals and systems, including convolution and Fourier transforms. This course will introduce the fundamental concepts, algorithms, and theories in machine learning, including linear models, projection/nonlinear embedding methods, neural networks/deep learning, parametric/non-parametric methods, kernel machines, mixture models, and pattern recognition/classification. Also, the lectures will briefly summarize recent trends in the field to provide students with cutting-edge knowledge for engineering. The course will give the student the basic ideas and intuition behind these methods, as well as a more formal understanding of how and why they work. Students will have an opportunity to experiment with machine learning techniques and apply them in one or more application-based project.

Recommended Background: Discrete-Time Signal and System Analysis (ECE 2312)

Suggested Background: Linear Algebra (MA 2071) and Probability (MA 2621 or MA 2631)

ECE 3500. ELECTRIC POWER AND RENEWABLE ENERGY SYSTEMS

Cat. I
Concepts integral to the generation, transmission, storage, and use of electrical power are introduced with particular emphasis on economic, environmental, and regulatory influences that have shaped the structure of our power grid for over 100 years. Power generators, including those powered by traditional fossil fuels and renewable sources, are covered, providing a background of technology evolution that leads to distributed energy resources (DERs), energy storage systems, and smart grid solutions. Three-phase lines, loads, and generators are discussed together with the need for power factor calculation and correction. Construction and performance of high voltage transmission lines is introduced. Power flow analysis across a power network from generation to transmission to consumption is provided and modeled, including consideration of basic faults at various points in the network. Methods of energy storage are considered together with basic power grid protection techniques. These technologies converge toward the construction of robust smart grids that employ
advanced data analytics and communications for real-time fault identification, load
balancing, and correction.
Recommended background: ECE 2010

ECE 3501. ELECTROMECHANICAL ENERGY SYSTEMS

The duality of electromechanical systems, which may be used to either generate or consume electrical power, is studied through examination of methods and machines that enable energy conversion to occur. The analysis and design of systems that employ coupled magnetic fields to convert electrical to mechanical energy and vice versa is explored using fundamental electromagnetic concepts, AC/DC systems analysis, and numerical simulation. Generator and motor machine components are modeled using magnetic circuits to demonstrate energy flow. Electric transformers are carefully considered to understand voltage and current conversion with corresponding device power losses. The principles of rotating single and polyphase systems are covered with application examples ranging from micro to industrial scale. AC/DC motors and generators are explored through a review of their physical construction, equivalent circuits, and performance characteristics. Power factor and power factor correction are examined to enable greater system efficiency. Special emphasis is given to synchronous machines, which comprise most of modern power generation, and induction machines, which are used in a myriad of everyday applications. This course includes simulations of motors and generators with some circuit analysis using circuit simulators, project work, and selected power system demonstrations.
Recommended background: ECE 3500.
Suggested background: ECE 2019, ECE 2112, and ECE 2311.

ECE 3829. ADVANCED DIGITAL SYSTEM DESIGN WITH FPGAs

This course covers the systematic design of advanced digital systems using FPGAs. The emphasis is on top-down design starting with high level models using a hardware description language (such as VHDL or Verilog) as a tool for the design, synthesis, modeling, test bench development, and testing and verification of complete digital systems. These types of systems include the use of embedded soft core processors as well as lower level modules created from custom logic or imported IP blocks. Interfaces will be developed to access devices external to the FPGA such as memory or peripheral communication devices. The integration of tools and design methodologies will be addressed through a discussion of system on a chip (SOC) integration, methodologies, design for performance, and design for test.
Topics: Hardware description languages, system modeling, synthesis, simulation and testing of digital circuits; Design integration to achieve specific system design goals including architecture, planning and integration, and testing; Use of soft core and IP modules to meet specific architecture and design
goals. Laboratory exercises: Students will design and implement a complete
sophisticated embedded digital system on an FPGA. HDL design of digital systems including lower level components and integration of higher level IP cores, simulating the design with test benches, and synthesizing and implementing these designs with FPGA development boards including interfacing to external devices.
Recommended background: ECE 2029 and ECE 2049.
Students who have received credit for ECE 3810 may not receive credit for ECE 3829.

ECE 3849. REAL-TIME EMBEDDED SYSTEMS

Cat. I
This course continues the embedded systems sequence by expanding on the topics of real-time software and embedded microprocessor system architecture. The software portion of this course focuses on solving real-world problems that require an embedded system to meet strict real-time constraints with limited resources. On the hardware side, this course reviews and expands upon all the major components of an embedded microprocessor system, including the CPU, buses, memory devices and peripheral interfaces. New IO standards and devices are introduced and emphasized as needed to meet system design, IO and performance goals in both the lecture and laboratory portion of the course. Topics: Cross-compiled software development, embedded system debugging, multitasking, real-time scheduling, inter-task communication, software design
for deterministic execution time, software performance analysis and optimization, device drivers, CPU architecture and organization, bus interface, memory management unit, memory devices, memory controllers, peripheral interfaces, interrupts and interrupt controllers, direct memory access. Laboratory exercises: Programming real-time applications on an embedded platform running a real-time operating system (RTOS), configuring hardware interfaces to memory and peripherals, bus timing analysis, device drivers.
Recommended background: ECE 2029 and ECE 2049.

ECE 4011. BIOMEDICAL SIGNAL ANALYSIS

Cat. II
Introduction to biomedical signal processing and analysis. Fundamental
techniques to analyze and process signals that originate from biological sources:
ECGs, EMGs, EEGs, blood pressure signals, etc. Course integrates physiological
knowledge with the information useful for physiologic investigation and medical
diagnosis and processing. Biomedical signal characterization, time domain analysis
techniques (transfer functions, convolution, auto- and cross-correlation),
frequency domain (Fourier analysis), continuous and discrete signals, deterministic
and stochastic signal analysis methods. Analog and digital filtering.

Recommended background: ECE 2311, ECE 2312, or equivalent.
This course is offered in 2016-17, and in alternating years thereafter.

ECE 4023. BIOMEDICAL INSTRUMENTATION DESIGN

This course builds on the fundamental knowledge of instrumentation and sensors. Lectures cover the principles of designing, building and testing analog instruments to measure and process biomedical signals. The course is intended for students interested in the design and development of electronic bioinstrumentation. Emphasis is placed on developing the student’s ability to design a simple medical device to perform real-time physiological measurements.
Recommended background: BME 3012, BME 3013, ECE 2010 and ECE 2019.

ECE 4305. SOFTWARE-DEFINED RADIO SYSTEMS AND ANALYSIS

Cat. I
This course provides students with hands-on exposure to the design and
implementation of modern digital communication systems using software-defined
radio technology. The prototyping and real-time experimentation of
these systems via software-defined radio will enable greater flexibility in the
assessment of design trade-offs as well as the illustration of “real world”
operational behavior. Performance comparisons with quantitative analytical
techniques will be conducted in order to reinforce digital communication system
design concepts. In addition to laboratory modules, a final course project will
synthesize topics covered in class. Course topics include software-defined radio
architectures and implementations, digital signaling and data transmission
analysis in noise, digital receiver structures (matched filtering, correlation),
multicarrier communication techniques, radio frequency spectrum sensing and
identification (energy detection, matched filtering), and fundamentals of radio
resource management.

Recommended background: ECE 3311, MA 2621, familiarity with Simulink,
familiarity with general programming.

ECE 4503. POWER ELECTRONICS AND POWER MANAGEMENT

The availability of electric power in a variety of forms is integral to modern society. Very often, electric power must be converted from one form to another to meet a specific application need – this conversion process is accomplished through the use and efficient management of power electronics. Design of power electronics is introduced first by examining the performance characteristics of basic switching devices, which enable critical management functions that include pulse width modulation (PWM) and output power regulation. Half and full-wave AC source rectification and techniques for improving the resulting DC power characteristics are covered, including polyphase AC sources. AC voltage control with applications for induction motors is studied. DC-DC power conversion is examined, covering a variety of circuit architectures, with applications in feedback control. DC to AC power inversion and resulting power quality considerations are explored. The impacts of design decisions on power electronics systems, from micro- to megawatts, are demonstrated through numerical simulation. This course includes guest lectures, project work including case-studies and selected power system demonstrations.
Recommended background: ECE 3204, ECE 3501.
Student who has previously received credit for ECE 3503 may not receive credit for ECE 4503.

ECE 4703. REAL-TIME DIGITAL SIGNAL PROCESSING

Cat. I

This course provides an introduction to the principles of real-time digital signal
processing (DSP). The focus of this course is hands-on development of real-time
signal processing algorithms using audio-based DSP kits in a laboratory
environment. Basic concepts of DSP systems including sampling and
quantization of continuous time signals are discussed. Tradeoffs between fixed-point
and floating-point processing are exposed. Real-time considerations are
discussed and efficient programming techniques leveraging the pipelined and
parallel processing architecture of modern DSPs are developed. Using the audio-based
DSP kits, students will implement real-time algorithms for various
filtering structures and compare experimental results to theoretical predictions.

Recommended background: ECE 2049, ECE 2312, some prior experience in
C programming.

Suggested background: ECE 3311.

ECE 4801. COMPUTER ORGANIZATION AND DESIGN

Cat. I
This course focuses on the computer organization and architectural design of
standalone embedded and high-performance microprocessor systems. This course covers performance metrics, machine level representation of information, the assembly level interface, memory system organization and architecture, computer input/output,instruction set architecture (ISA) design, single cycle and multicycle CPU datapath and controlpath design as well as more advanced level topics such as pipelining, interrupts, cache and memory system design. Special attention will be paid into measuring architectural performance and into improving computer architectures at various levels of the design hierarchy to reach optimal performance. The course will include several hands-on projects and laboratory components where students will be required to perform simulations of CPU designs using architectural simulation tools such as MIPS Simulators and SimpleScalar.
Recommended Background: ECE 3849.
Suggested Background: ECE 3829.

ECE 4802. INTRODUCTION TO CRYPTOGRAPHY AND COMMUNICATION SECURITY

This course provides an introduction to modern cryptography and communication security. It focuses on how cryptographic algorithms and protocols work and how to use them. The course covers the concepts of block ciphers and message authentication codes, public key encryption, digital signatures, and key establishment, as well as common examples and uses of such schemes, including the AES, RSA-OAEP, and the Digital Signature Algorithm. Basic cryptanalytic techniques and examples of practical security solutions are explored to understand how to design and evaluate modern security solutions. The course is suited for students interested in cryptography or other security related fields such as trusted computing, network and OS security, or general IT security.
Recommended background: ECE 2049 Embedded Computing in Engineering Design or CS 2301 Systems Programming for Non-Majors or equivalent
Suggested background: CS 2022/MA2201 Discrete Mathematics

ECE 4902. ANALOG INTEGRATED CIRCUIT DESIGN

Cat. II
This course introduces students to the design and analysis of analog integrated
circuits such as operational amplifiers, phase-locked loops, and analog multipliers.
Topics: integrated circuit building blocks: current mirrors and sources,
differential amplifiers, voltage references and multipliers, output circuits.
Computer-aided simulation of circuits. Layout of integrated circuits. Design and
analysis of such circuits as operational amplifiers, phase-locked loops, FM
detectors, and analog multipliers. Laboratory exercises.

Recommended background: familiarity with the analysis of linear circuits and
with the theory of bipolar and MOSFET transistors. Such skills are typically
acquired in ECE 3204.
Suggested background: ECE 4904.
This course will be offered in 2015-16, and in alternating years thereafter.

ECE 490X CMOS FUNDAMENTALS

This course introduces fundamental concepts of CMOS (Complementary Metal Oxide Semiconductor) analog and digital circuit design, emphasizing the physical implementation of integrated circuits. To develop a fundamental understanding of CMOS integrated circuit design and layout, the course begins with an introduction to CMOS integrated circuit fabrication technology and crucial process layers. Then, resistors and capacitors in integrated circuit technology, and MOSFET capacitors and transistors are introduced, emphasizing concepts in nano-CMOS devices such as velocity saturation and drain-induced barrier lowering. Building on these concepts, the course next develops models for analog and digital integrated circuit design using MOSFETs. Next, the concept of basic digital building blocks in CMOS technology, and associated timing and loading constraints are covered. Finally, the course will explore matching and sensitivity concepts through a simple circuit example, such as a current mirror.

Recommended Background: ECE 2029, and ECE 2201

Suggested Background: ECE 3204