This course will introduce students to circuit analysis techniques including nodal analysis, mesh analysis, source transformation, Thevenin's and Norton theorems, and superposition. The course will also cover transient response topics, such as first order RC & RL circuits, step response & time constants, second order RLC circuits, and resonance & quality factor. Phasor representation of sinusoids, impedance & admittance, and circuit analysis using phasors will be also discussed. Average power and RMS values. Finally, operational amplifiers (Op Amp) topics such as ideal Op Amp operation, circuit analysis of Op Amp inverting configuration, applications of inverting configuration, and circuit analysis of Op Amp non-inverting configuration are discussed in detail.
The objective of this course is to introduce the concepts of discrete mathematics which includes sets, sequences, summations, functions, matrices, graphs and trees. It also introduces logical reasoning which includes the logic of compound statements (simple statements joined by logical connectives), logic of quantified statements which is in fact the symbolic analysis of ordinary compound statements (sometimes called statement calculus or propositional calculus), and different proof techniques, such as direct proof technique, contradiction proof technique, contrapositive proof technique, induction and recursion proof technique. Finally, the course introduces the concepts of elementary number theory and counting techniques.
This course introduces students to the basic concepts of digital systems, including binary systems and codes, digital logic gates, combinational and sequential logic circuits. It also introduces students to the basic concepts of computers, their design and how they work. It encompasses the definition of the machine's instruction set architecture, its use in creating a program, and its implementation in hardware. The course addresses the bridge between gate logic and executable software,
This course introduces students to the basic concepts of data communication system, computer networks and TCP/IP layer model. It provides students with an overview of the functionalities, processes and operations of physical layer, data layer, network layer and transport layer. This overview will include basics on signals, analog and digital transmission, multiplexing, modulation, data encoding, medium access control, error control, IP addressing, and flow/congestion control mechanisms.
The course covers primary building blocks of general-purpose computing systems. The course topics include MIPS Instruction Set Architecture and corresponding assembly language. Other covered topics include: digital building blocks of processor micro-architecture, ALU design, and single-cycle processor design. Memory hierarchy and cache micro-architectures are also covered. Additionally, the students learn how to measure performance and how to improve it using pipe-lining. They also learn the structural optimization for preventing data and control hazards. Overall, the course encompasses the core principles of the classical Von Neumann architecture.
This course consists of a set of laboratory experiments designed to provide students with hands-on experience in electrical and electronic circuits. Students will learn how to design, simulate, hardware implementation and take measurement on basic AC and DC circuits including electronic components such as BJT and op-amp circuits. Students will become familiar with circuit simulation, safety and grounding considerations and instrumentation. They will also gain hands-on experience on how to use oscilloscopes, signal sources, multimeters, and signal analyzers.
This course introduces students to continuous-time and discrete-time signals and systems. The course covers linear time invariant (LTI) systems in terms of system properties, convolution sum, and convolution integral representations. LTI systems are also described using differential and difference equations. Throughout this course, topics such as Fourier series, Fourier transform and Laplace Transform will be discussed in detail. All signals and systems manipulations will be done through MATLAB.
This course introduces students to hardware design techniques using a Hardware Description Language (HDL). The course covers concepts of designing, modeling, simulating, and synthesizing digital systems at different abstraction levels including structural, data-flow and behavioral levels. It also introduces HDL-based simulations and testing environments for functional verification and debugging. The course also discusses important HDL features, modeling techniques and finite state machine design.
This lab provides intensive hand-on experiments in digital circuits design and implementation using Verilog as an HDL language. In this lab students will learn the full custom design process using Verilog structural modeling, and Verilog behavioral and logic synthesis. This lab covers the design of both combinational and sequential logic circuits, simulation tools will be used to simulate and debug designs. FPGA boards will be used for implementing simulated error-free design
This course covers various aspects of embedded system design using micro-controllers. Equipped with the CPU design background from the prerequisite course, in this course, students are expected to comprehend and apply various techniques to build a working embedded system. The topics covered in this course include: mechanism of interfacing peripheral input/output (I/O), timer and Pulse Width Modulation (PWM), analog-digital conversions (ADC and DAC), communication ports, interrupt principles, real-time design issues, and system design methods. In addition to theoretical topics, this course also fosters students’ hands-on and communication skills by working on cutting-edge embedded prototype devices through group projects.
This course consists of laboratory experiments on practical implementation of the microcontroller building blocks including timers, counters, PWM, interrupts, I/O techniques and requirements, A/D and D/A conversion and serial communications. Students will learn how to code control softwarefor I/O devices and use system design process to implement embedded systems.
The course covers fault tolerance and hardware testing techniques for circuits and systems. The course topics include: reliability, faults and fault models, and metrics such as availability, mean time to failure (MTTF) and mean time between failures (MTBF). The students learn how to derive reliability using reliability block diagrams and Markov chains. The other covered topics are: error detection and correction in digital circuits and systems. The students also learn the techniques for testing digital circuits, for example, built-in self-testing (BIST).
This course covers the topics of VLSI design and fabrication based on CMOS technology. The models for MOS transistors, resistance and capacitance are covered. The layout rules for simple circuits as well as full-/semi-custom layout topologies are included. Other topics include the designs of arithmetic circuits and memories, and chip-level physical designs requirements. Logic verification and timing simulations are also discussed. The issues related to circuit’s low-power operation and the effects of process variations on the circuits are also introduced.
This course takes the knowledge from a number of prerequisite courses and integrates them into the basis of a hardware and software co-designed embedded systems. The topics covered in this course include: concept of hardware and software, application modeling and analysis, hardware/software communication, performance and trade-offs, state-of-the-art System-on-Chip (SoC), and interfacing and on-chip buses. Hardware implementation techniques using HDL are employed to demonstrate the taught concepts.
This laboratory provides students with a series of hands-on experiments in introductory network topics. It covers the design, configuration and troubleshooting of wired and wireless network as well as implementing basic security mechanisms. Students will gain an understanding of the layered approach to networks and examine the OSI and TCP/IP models to understand their function and services. The lab provides also experimental activities on inter-networking and routing concepts and protocols to develop an understanding on how networks are linked together.
This course exposes students to the details of the TCP/IP protocols. Students will learn the IP addressing and sub-netting schemes, data packets delivery and routing techniques. The course covers protocols at various layers with a deep explanation of address resolution protocol (ARP), IP protocol, and transport protocols: UDP and TCP. Students will also learn network troubleshooting using ICMP and routing protocols such as RIP and OSPF. The course also includes an introduction to Internet of Things (IoT), its standards, and protocols.
The objective of this course is to give an introduction to the fundamentals of wireless and mobile communications. The course will cover topics such as RF spectrum, transmission fundamentals, principles of radio communication systems, signal encoding and modulation techniques. It will also cover wireless network architectures, technologies, protocols, and applications. The course will introduce topics related to wireless sensor networks (WSNs) such as WSN architecture and design, routing and transport layer techniques.
This course introduces students to the principles of network security with emphasis on network security architectures and mechanisms. Students will learn about network security threats and their countermeasures, types of firewalls, and firewall implementations. The course also covers concepts in Virtual Private Networks and Web security, including IPSEC, L2TP, SSL and SET protocols.
Converged network technologies for voice, video and data with emphasis on application layer VoIP protocols (H.323 and SIP); Media gateway controller protocols (MGCP) and the transport of VoIP, and RTP/RTCP; Further topics include:- quality of service (QoS) issues and dimensioning a VoIP network, MPLS, design of VoIP networks, and voice compression standards (G.721, G.729).
Special topics in computer engineering is a unique course, which covers advanced and emerging topics of special interest to undergraduates. The topics are selected from recent developments and trends in computer engineering. The course may introduce new or emerging aspects in the field, contemporary applications and theory in computer engineering, or assesses the state-of-the-art through readings, discussions, and critiquing current literature. (Pre-requisites: Senior standing)
One of the primary reasons behind the emergence of IoT is the rise of embedded platforms (low cost, small form factor devices with significant processing power) which are powering a number of IoT applications in a wide variety of domains. This course aims to cover trends and challenges in embedded systems design understanding the hardware-software trade-offs, introduce microcontrollers, interfacing these with digital/analog systems and the ability to program these systems. The focus of this course will be on the following topics: Micro-controllers (MCUs) and computer interfacing with analog and digital systems; Real-time control issues; Assembly language programming methods for control; Design of control software; Input/output methods, data interrupts, and general issues in digital signal processors (DSPs); Differences in the architectures, functions, and applications of DSPs.
IoT is multi-disciplinary and broadly involves leveraging sensing and communication technology to solve problems in a wide variety of domains. The objective of this course is to highlight different verticals where IoT has been and continues to be employed. Ubiquitous connectivity is another key reason behind the emergence of the IoT and therefore, this course aims to cover the history, evolution, and developments in wireless and mobile network systems with a particular emphasis on technologies relevant to the IoT (both short-range and long-range). In particular, this course will cover topics on Wireless HART, IEEE 802.15.4, IEEE 802.11ah, Bluetooth Low Energy, Zigbee Smart Energy, HomePlug Low Power Wide Area Networks (focusing on LoRaWAN, SIGFOX, NB-IoT) and 3GPP Machine Type Communications (MTC).
This course builds on the introductory communication networks course(s) that the students may have taken during their undergraduate education. A brief overview of some of the important topics from the network and transport layer from the undergraduate course is provided followed by treatment of advanced topics, in particular, protocols that have been developed to meet the requirements of the Internet of Things. The specific topics covered will focus on IPv6, network layer protocols such as Routing for Low Power and Lossy Networks (RPL), 6LoWPAN, IPv6 over time slotted channel hopping (6tisch), IPv6 over Bluetooth Low Energy and application layer protocols such as Constrained Application Protocol (CoAP) and Message Queue Telemetry Transport (MQTT). The motivation and overview of different IoT platforms will also be provided in addition to hands-on exercise on how to use the Thingworx platform for building an IoT application.
This course covers a selection of sensors, transducers and the signal conditioning necessary for including these in a data acquisition system such as internet of things. It investigates most common types of sensors, the analogue to digital and digital to analogue conversion principles and their practical applications for data acquisition and control. Examples of a selection of output drivers and devices are also provided. Applications of recording data from sensors (real-time data acquisition and interfaces) in daily life are also provided.
This course will examine the security and ethical issues of the vast implementation of smart devices known as the Internet of Things (IoT). It will discuss IoT technology and market-specific topics, relevant case studies of IoT security vulnerabilities and attacks, and mitigation controls. It will also discuss common security architectures that can be applied to IoT systems and discusses regulations and standards that apply to secure IoT systems.
This course covers special topics on various advanced or specialized topics in Computing. Its content is customized on every offering depending on current trends and expression of mutual interest by students and faculty
Computer simulation concepts and modeling theory, probability distributions and queuing theory, random number generation, probability distribution generation, data collection and input analysis, discrete modeling and simulation concepts, Monte Carlo" Simulation.
This course covers topics essential to modern computing systems including review of current state of computer hardware and architecture; single and multi-core hardware; memory hierarchy and performance; cache hierarchies; cache coherence protocols; pipelining and hazards; quantitative design and analysis; instruction-level parallelism; data-level parallelism; thread-level parallelism; ultra-low power/energy design and optimization; microarchitectures for dependability; microarchitecture modeling and simulation; buses and arbitration; and peripheral devices.
This is a course focusing on advanced and emerging research topics in networks. The course topics include advancement of the following; sensor networks such as nanonetworks and IoT, emerging network management methods such as cognitive networks, current and new network paradigms such as fog, dew, cloud computing, state-of-the-art network technologies such 5G broadband networks, Li-Fi, and 802.11ax, and new network services such as information-centric networks and IoT services. The course consists of both a research papers reading/lecture/discussion component and a project component.
Review of classical topics in advanced computer architecture: pipelining, branch prediction, shared memory architecture, message passing architecture, synchronicity, performance metrics and laws, scalability. Special emphasis will be placed on parallel architectures: instruction-level parallelism, thread-level parallelism, data-level parallelism, SIMD/MIMD computers, PRAM models, multi/many-cores, vector processors, interconnection networks, network computing, advanced techniques for exploiting parallelism, parallel processing using modern graphics cards, mapping of parallel algorithms. Students will get exposure to multi-core microprocessors as well as advanced graphic/accelerator cards for a better understanding of how modern computing systems support and implement basic parallel processing concepts.
This course presents classical reliability based on statistical analysis of observed failure distributions. Techniques to improve reliability, based on the study of root-cause failure mechanisms, will be presented, based on knowledge of the life-cycle load profile, product architecture, and material properties. Techniques to prevent operational failures through robust design and manufacturing processes will be discussed. Students will gain the skills in the field of reliability as it directly pertains to the design and the manufacture of reliable products.
Modern architecture, instruction set analysis and design, pipelined and multi-core architectures, software-hardware interaction, memory hierarchy, virtual memory stresses, and evaluation of multi-level systems.
The course will cover ASICs and digital system design methods with emphasis on field-programmable devices; logic design fundamentals; digital system architectures; programmable logic devices; computational unit design; state machines, memories, busses; hardware description languages (VHDL); synthesis, simulation, and testing.
This course covers design of digital Application Specific Integrated Circuits (ASICs) based on Hardware Description Languages (Verilog) and EDA tools, logic synthesis. Emphasis on design practices and underlying algorithms, timing-driven design, low-power design, design-for-test and ASIC applications.
This course builds upon basic CMOS VLSI design and introduce novel techniques and issues that arise in the design of: advanced microprocessors, memories, FPGAs, and embedded cores in sub-130nm technologies and beyond.
This course covers selected topics of current interest in computer engineering with emphasis on new frontiers in field and topics taken from current research and/or technical publications.
This course covers advanced topics in networking including network services and performance, network requirements analysis, network flow analysis, internetworking, end-to-end protocols, congestion control and resource allocation. The course also covers topics in quality of service approaches (integrated and differentiated services), scalable and highly available networks, and policy-based networking. New trends in emerging network technologies will also be covered.
This course explores research issues in pervasive computing and covers concepts related to ubiquitous data access, virtualization, sensing and actuation, mobile technologies, location and context awareness, security and trust. This course will expose students to existing architectures, mechanisms and design patterns pertaining to pervasive and ubiquitous computing.
This course covers concepts related to radio channel characterization concepts such as signal strength prediction techniques and coverage, indoor/outdoor models, fading, delay spread, interference models and outage probabilities, Digital modulation and transmission system performance issues, Signal processing techniques, diversity and beam-forming, multiple-input multiple-output (MIMO) systems, Basic principles of antenna design and analysis for mobile communication systems. Selected MAC protocol standards e.g. 802.11 and 802.16.
This course focuses on the tools and techniques for the economic design of telecommunication networks that meet the requirement goals of an organization (for example, reliability or performance.) In particular, it emphasizes the application of queuing methods, optimization & network models, and heuristic search techniques for the design of modern communication networks. Applications to VANETs, Call Center Design, Virtual Private Network Design, Local Distance Networks, and Wireless & Satellite Communications will be discussed.
This course covers research advances in vehicular ad hoc networks (VANET). Students taking this course will be exposed to VANET communication architecture, issues and challenges; routing techniques; data dissemination and resource discovery; communication standards and protocols: Wave, IEEE 802.11p. Security issues in VANET.
The content of this course is customized on every offering depending on current trends and interests.
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