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Electrical&Computer Engin (ECE) 1, Study notes of Computer Networks

The courses offered by the Electrical&Computer Engin (ECE) department at an unnamed university. The courses include circuits, intro to electrical engineering, data science, computer methods in ECE, electronic circuits, and digital systems. The document also mentions a Cooperative Education Program for students wishing to gain work experience before graduation. Prerequisites and restrictions for each course are listed. 400 characters long.

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Download Electrical&Computer Engin (ECE) 1 and more Study notes Computer Networks in PDF only on Docsity! Electrical&Computer Engin (ECE) 1 ELECTRICAL&COMPUTER ENGIN (ECE) ECE 210     Circuits     4 Credit Hours Fundamental laws, electrical elements and sources, energy and power. DC analysis of linear circuits. Node and mesh analysis. Operational amplifiers and op-amp circuits, Thevenin and Norton theorems. Sinusoidal steady-state response and the phasor concept. Introductory concepts on complex frequency, average power in AC circuits. Transient responses. Three lecture hours per week and one three-hour laboratory per week. Prerequisite(s): (MATH 116 or Mathematics Placement with a score of 215) and PHYS 151* Corequisite(s): ECE 210L, ECE 210R Restriction(s): Can enroll if College is Engineering and Computer Science ECE 210R     Circuits     0 Credit Hours Recitation component for ECE 210. Must be taken concurrently with ECE 210. (F, S, W). Corequisite(s): ECE 210 ECE 270     Computer Methods in ECE I     4 Credit Hours Covers structured and object-oriented computer programming concepts in the context of the C/C++ programming language and engineering applications. Four lecture hours per week with programming assignments. Prerequisite(s): ENGR 100 and MATH 115* Corequisite(s): ECE 270R Restriction(s): Can enroll if College is Engineering and Computer Science ECE 270R     Computer Methods in ECE I     0 Credit Hours Recitation component for ECE 270. Must be taken concurrently with ECE 270. (F, S, W). Corequisite(s): ECE 270 ECE 273     Digital Systems     4 Credit Hours Introduction to digital logic. Topics include numbers and coding systems; Boolean algebra with applications to logic systems; Karnaugh and Quine- McCluskey minimization; combinatorial logic design; flip-flops; sequential network design; and design of digital logic circuits. Three lecture hours per week and one three-hour laboratory per week. Prerequisite(s): MATH 115* Corequisite(s): ECE 273L, ECE 273R Restriction(s): Can enroll if College is Engineering and Computer Science ECE 273R     Digital Systems     0 Credit Hours Recitation component for ECE 273. Must be taken concurrently with ECE 273. (F, S, W). Corequisite(s): ECE 273 ECE 276     Discrete Math in Computer Engr     4 Credit Hours An introduction to fundamental concepts of discrete mathematics for computer engineering. Topics will be chosen from set theory, partially ordered sets, lattices, Boolean algebra, semi-groups, rings, graphical representation of algebraic systems, graphs, and directed graphs. Applications in various areas of computer engineering will be discussed. Prerequisite(s): (MATH 116 or Mathematics Placement with a score of 215) ECE 299     Internship/ Co-Op     1 Credit Hour This is a Cooperative Education course. Students wishing to experience a work experience before graduation may elect to participate in the Cooperative Education Program (minimum of two terms). (F,W,S). Restriction(s): Can enroll if Class is Junior or Senior ECE 305     Intro to Electrical Eng     4 Credit Hours Introduction to electrical and electronic circuits, machinery, and instrumentation. Topics include Kirchoff's Laws, Thevenin and Norton theorems, sinusoidal and transient circuit analysis, numerical methods, solid state electronics, motors and generators, measuring instruments. Three lecture hours and one three-hour laboratory analysis. Not open to ECE students. Prerequisite(s): PHYS 151 and (MATH 205 or MATH 215) and (MATH 217* or MATH 227* or MATH 228*) Corequisite(s): ECE 305L Restriction(s): Can enroll if College is Engineering and Computer Science Cannot enroll if Major is Electrical Engineering ECE 3100     Data Science I     4 Credit Hours This course provides an overview of the mathematical and computational solution methodologies needed in the field of data science, including, data processing, analysis and visualization, regression, pattern recognition and classification, time series prediction, and clustering. The course includes case studies or assignments that require students to work on real-life data science problems. (F). Prerequisite(s): (CIS 1501 or CIS 150 or ECE 270) and (MATH 217 or MATH 227 or MATH 228) and (STAT 325* or IMSE 317* or BENG 364*) Restriction(s): Can enroll if Level is Undergraduate ECE 311     Electronic Circuits I     4 Credit Hours Terminal characteristics and biasing of semiconductor diodes, bipolar and field-effect transistors, operational amplifiers. Rectifiers, amplifiers, and logic. Design projects. Three lecture hours and one three hour laboratory per week. Prerequisite(s): ECE 210 and (CHEM 134 or CHEM 144) and (COMP 270 or COMP 106 or COMP 220 or COMP 280 or Composition Placement Score with a score of 40 or Composition Placement Score with a score of 107) Corequisite(s): ECE 311L Restriction(s): Can enroll if College is Engineering and Computer Science Cannot enroll if Major is ECE 314     Filter Design     3 Credit Hours Review of filter descriptions, transfer functions, and frequency response characteristics; first and second order passive and active filters; biquad circuits; filter transformations. Butterworth, Chebyshev, and Elliptic filters; OPAMP realization of active filters; sensitivity analysis of active circuits. Three lecture hours per week. Prerequisite(s): ECE 311 and ECE 317 ECE 316     Computer Electronics     3 Credit Hours Design of selected electronic circuits such as signal conditioning amplifiers. Switching and digital logic circuits, using FET and BJT devices, A/D and D/A converters. Two-hour lecture and one three-hour lab per week. (YR). Prerequisite(s): ECE 210 and ECE 273 and (COMP 270* or COMP 106* or Composition Placement Score with a score of 40 or Composition Placement Score with a score of 107 or COMP 220*) 2 Electrical&Computer Engin (ECE) ECE 3171     Analog & Discrete Sig & Sys     4 Credit Hours Signals and systems representation and classification. Impulse response and convolution integral. Laplace and Z transforms with applications to linear system analysis. Fourier series Fourier Transform and Discrete Fourier Transform, Frequency response, Filter design. Four lecture hours per week. Prerequisite(s): (MATH 216 and MATH 217) or (MATH 216 and MATH 227) or MATH 228 Restriction(s): Can enroll if Class is Junior or Senior Can enroll if College is Engineering and Computer Science ECE 319     Electromagnetic Compatibility     4 Credit Hours Introduction, cabling, grounding, balancing and filtering, passive components,shielding, digital circuit noise and PCB layout, radiation, ESD, regulations, demos, experiments, lab projects and guest lectures. Three Lecture hours and one three-hour laboratory per week. Prerequisite(s): ECE 311 Restriction(s): Can enroll if College is Engineering and Computer Science ECE 321     Electromagnetic Fields/Waves     3 Credit Hours Vector analysis; static electric field; steady electric currents; static magnetic fields; time-varying fields and Maxwell's equations; plane electromagnetic waves. Three lecture hours per week. Prerequisite(s): ECE 311* ECE 329     Intro to Computer Music     4 Credit Hours This course will introduce students to methods and technologies of computer music. The basics of digital audio will be covered, including sampling, quantization, and compression standards. Various analysis tools will be covered, including the Fourier transform and windowing techniques. Mathematical models of physical instruments will be introduced. Various sound synthesis strategies will be introduced: wave tables, additive synthesis, subtractive synthesis, frequency modulation, and granular synthesis. Prerequisite(s): MATH 105 Restriction(s): Can enroll if Class is Junior or Senior ECE 347     Applied Dynamics     4 Credit Hours Introduction to rigid, multi-body dynamics tailored to the analysis and design of linkage-based robotic systems. Three dimensional kinematics, Eulerian angles, general motion of rigid bodies subjected to various forcing functions. Matrix methods, numerial and software-based problem solving. Project required. Four lecture hours per week. Prerequisite(s): (MATH 216 and (MATH 217 or MATH 227)) or MATH 228 Restriction(s): Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science ECE 351     Bio-Sensors & Instrumentation     4 Credit Hours The course covers measurements in biological materials using a variety of sensor technologies along with electronic instrumentation design and use. Safety and FDA requirements are also presented. Prerequisite(s): (MATH 216 or MATH 228) and BENG 200 and BIOL 140 and ECE 305 and (ENGR 216 or ECE 270) Restriction(s): Can enroll if Class is Junior or Senior Can enroll if College is Engineering and Computer Science or Arts, Sciences, and Letters ECE 3641     Robotic Manipulation     4 Credit Hours Design, construction, and testing of field robotic systems. Focus on electronics, instrumentation, and machine elements. Particular attention to modeling dynamic systems, measuring and controlling their behavior, and making decisions about future courses of action. Examples include industrial robots, service robots, mobile robots, and medical robots. Three lecture hours and one three hour laboratory per week. (F, W). Prerequisite(s): (ECE 3731 or ECE 372) Restriction(s): Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science ECE 370     Adv Soft Techn in Comp Engr     4 Credit Hours Advanced concepts and techniques of modular object oriented and structured programming; representative real-world computer engineering applications including data structures, search and sorting. A term project is required. Four lecture hours per week. (F,W,S). Prerequisite(s): ECE 270 and ECE 273* Restriction(s): Can enroll if College is Engineering and Computer Science ECE 371     Information Structures     3 Credit Hours Fundamentals of computer data structures. Introduction to abstract data types. Characteristics and implementation of structured data types including arrays, stacks, queues, linked lists, generalized lists, trees, and graphs. Algorithms and applications of data structures in sorting and searching. Considerations of algorithm efficiency and complexity. Engineering applications and design. Three lecture hours per week. Prerequisite(s): ECE 370 or ECE 274 ECE 372     Intro to Microprocessors     4 Credit Hours Introduction to operation, interfacing, and applications of microcomputers and microprocessor-based systems. Assembly language programming, interrupts and interfacing. Three lecture hours and one three-hour laboratory per week. Prerequisite(s): (COMP 270 or COMP 106 or COMP 220 or Composition Placement Score with a score of 107 or Composition Placement Score with a score of 40) and ( and (ECE 270 and ECE 273) or CIS 310) ECE 3731     Microproc and Embedded Sys     4 Credit Hours This course is an introduction to the operation, interfacing, and applications of micro processor based systems, and real-time embedded system design. Topics include: microprocessor architecture, embedded C programming, real-time programming. Final project required. Three lecture hours and one three hour laboratory per week. Prerequisite(s): (ECE 270 and ECE 273) or CIS 310 Corequisite(s): ECE 3731L Restriction(s): Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science ECE 375     Intro to Comp Architecture     4 Credit Hours Introduction to architecture of mini- and mainframe computers. CPU, memory, and I/O characteristics. Introduction to parallel architectures and hardware design languages. Case studies of popular computer systems and design considerations. A design project is required. Three lecture hours and one laboratory hour per week. Prerequisite(s): ECE 270 and ECE 273 and (ECE 276* or MATH 276*) and (ECE 372* or ECE 3731*) Corequisite(s): ECE 375L Restriction(s): Can enroll if College is Engineering and Computer Science Electrical&Computer Engin (ECE) 5 ECE 438     Web Engr: Prin & Tech     4 Credit Hours Advanced concepts and techniques of web technology, focusing on interactive applications; real-world web engineering applications including data persistence, web security, hardware/software issues and asynchronous client/server communication. A term project is required. Four lectures per week. Prerequisite(s): ECE 311 or ECE 370 Restriction(s): Can enroll if Class is Junior or Senior Can enroll if Major is Electrical Engineering, Software Engineering, Computer Engineering ECE 443     Intr to Electric Power Systems     3 Credit Hours This course will introduce students to basic methods of electric power systems. Topics include AC circuits, phasors, complex power and complex impedance, transformers, per unit system, transmissions lines, power flow, economic dispatch, real and reactive power control, symmetric and unsymmetric faults, transient stability, relaying and protection. Three lecture hours per week. Prerequisite(s): ECE 317 or ECE 3171 ECE 4431     Vehicular Pwr Sys & Loads     4 Credit Hours This is an introductory course on power systems and load analysis with focus on automotive applications. The objectives are to familiarize the students with the basic principles and concepts of vehicular power systems and loads. Students are expected to be able to analyze and design basic vehicular power systems. The topics covered in this course include an overview of power systems, vehicular power system architecture, DC and AC power grid in vehicular systems, power system stability, reliability, reactive power control, load flow analysis, short circuit analysis, and vehicular power system protection. Four lecture hours per week. Prerequisite(s): ECE 317 or ECE 3171 Restriction(s): Can enroll if Class is Junior or Senior Can enroll if College is Engineering and Computer Science ECE 4432     Renewable Elec Pwr Sys     4 Credit Hours This course is an introduction to traditional power grids as well as renewable electric power systems. This course covers long-distance transmission of electric power with emphasis on admittance and impedance modeling of components and systems, complex power-flow studies, symmetrical and unsymmetrical fault calculations, economic operation of large-scale generation and transmission systems, an overview of emerging renewable energy technologies (e.g. wind and solar) and the impact of grid integration of renewable energy on power grids. Students cannot take both ECE 4431 and ECE 4432 for credit. Four lecture hours per week. Prerequisite(s): ECE 3171 Restriction(s): Can enroll if Class is Junior or Senior Can enroll if Major is Computer Engineering, Software Engineering, Industrial & Systems Engin, Mechanical Engineering, Computer & Information Science, Electrical Engineering ECE 446     Electromechanical Energy Conv     4 Credit Hours Introduces fundamental concepts and specifications of electromechanical energy conversion: AC and DC machines drive, electric and magnetic storage and transfer, transformer, and performance analysis of AC and DC machines. The topics include principles of energy conversion, permanent magnet synchronous machines, induction machines, and DC machines. The lab projects for the course will focus on modeling, evaluation, and practice of AC and DC machine drives based on computer simulation and DSP based experiments; transient and dynamic analysis; linearization and small signal analysis of machines. Four lecture/laboratory hours per week. Prerequisite(s): ECE 311 and (ECE 317* or ECE 3171*) ECE 450     Analog and Digital Comm Sys     4 Credit Hours Topics include introduction to communication systems, base band communications, sampling theorem, amplitude and frequency modulation system design, statistical analysis of error and performance, digital modulation of analogy signals, digital communication and digital modulation schemes, random processes and applications in digital communications, and noise analysis, optimal receiver. Four lecture hours per week. Prerequisite(s): (ECE 317 or ECE 3171) and IMSE 317 ECE 451     Signal Detection     3 Credit Hours Introduction to signal detection, parameter estimation and information extraction theory and its application to communication systems. Subject areas covered within the context of a digital environment are decision theory, detection and estimation of known and random signals in noise, adaptive recursive digital filtering, optimal linear filtering and pattern recognition. Three lecture hours. Prerequisite(s): ECE 450 ECE 452     Probabilistic Meth/Signal Alys     3 Credit Hours Introduction to probability, random processes, correlation functions, and spectral density. Response of linear systems to random inputs. Applications in the field of communications. Prerequisite(s): ECE 300 ECE 454     Intr to Modern Wireless Comm     3 Credit Hours This course provides an introduction to the fundamentals of modern wireless communication. The focus of this course will be on the (i) basic signal propagation issues and channel impairments, (ii) modulation schemes and bandwidth/power trade-offs, and (iii) overcoming channel impairment using equalizers, diversity and channel coding. Additionally case studies will examine current wireless LANs and cellular system. Three Hours of lecture per week. Prerequisite(s): ECE 450 or ECE 471 Restriction(s): Cannot enroll if Class is Freshman or Sophomore Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science ECE 456     Intro to Electro-optics     3 Credit Hours Laser sources, detectors, imaging systems, optical signal processing, illumination and image acquisition, triangulation, and fiber optics. Three one-hour lecture periods. Prerequisite(s): ECE 311 and ECE 321 6 Electrical&Computer Engin (ECE) ECE 460     Automatic Control Systems     4 Credit Hours Modeling and response of dynamic systems. Transfer functions, poles and zeros and their significance to transient and steady state response of feedback systems. Analysis of stability of closed-loop systems. Steady state errors and transient performance of closed-loop systems. Design of feedback control systems by root locus techniques and by frequency domain methods. Laboratory projects include modeling, controller design, controller realization, system performance evaluation, and simulation studies. Three lecture hours and one three hour laboratory per week. Prerequisite(s): ECE 317 or ECE 3171 Corequisite(s): ECE 460L ECE 464     Robotics     4 Credit Hours An overview of robotics systems and current technology. Spatial descriptions and transforms. Lagrange and Newton-Euler equations of motion. Path planning and trajectory calculations. Direct and inverse kinematics and dynamics of open articulated chains. Feedback control problems in manipulators. Prerequisite(s): ECE 3731 and ECE 3171 ECE 4641     Mobile Robots     4 Credit Hours This is an upper year course introducing foundational theory and applications of robotics engineering. The topics of this course include embedded computing, locomotion, localization, dead reckoning, inertial sensors and perception, navigation, multi-robotics systems, and human- robot interaction, and complex response processes. Three lecture hours and one three hour laboratory per week. Prerequisite(s): ECE 3731 and IMSE 317 Restriction(s): Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science ECE 465     Digital Control Desgn and Imp     4 Credit Hours Discrete model of a continuous-time system. Differential equations and Z-transforms. Similarities and differences between discrete-time and continuous-time models. Translation of analog designs to digital designs. State-space methods including state feedback and observers. Hardware limitations and implementation issues. Four lecture/laboratory hours per week. Prerequisite(s): ECE 460 ECE 467     Digital Forensics II     4 Credit Hours This course is a continuation of Digital Forensics I and will focus on Internet Forensics. Students will examine in-depth concepts in Internet evidence collection and preservation, as well as applications of contemporary commercial forensic investigative software. Prerequisite(s): (ECE 387 or CIS 387) and (ECE 471* or CIS 427*) Restriction(s): Cannot enroll if Class is Freshman Cannot enroll if Level is Rackham or Graduate Cannot enroll if College is Business ECE 470     Computer Int and Data Comm     4 Credit Hours Hardware and software techniques used in interfacing between computers and other computers or devices. Analog and digital techniques. Parallel and serial communications. Popular communication protocols. Error detection and correction. Lab project involves interfacing and communicating with a microprocessor. Prerequisite(s): ECE 372 ECE 471     Comp Networks/Data Comm     4 Credit Hours Hardware and software techniques used in interfacing between computers and other computers or devices. Data transmission techniques and protocols. Introduction to popular local area network protocols. Forward Error Control Techniques and Data Compression. Introduction to wireless communications with focus on major challenges and obstacles and the cellular phone infrastructure. Term projects involve developing a data link layer protocol for interfacing and communication with microprocessors. Four lecture hours per week. Prerequisite(s): (ECE 372 or ECE 3731) and (IMSE 317 or BENG 364) ECE 473     Embedded System Design     4 Credit Hours This course studies the issues dealing with real-time embedded system design. Topics include: microprocessor architecture, assembly language, real-time programming, space and time limitations, relations between ANSIC Compiler output and assembly language, compiler linkers and using a system development package for C programming. (F,W,S). Prerequisite(s): ECE 372 or ECE 3731 Corequisite(s): ECE 473L ECE 474     Compiler Design     3 Credit Hours Principles of language compilation. Introduction to formal languages. Lexical analysis, top-down and bottom-up parsing, code generation and optimization. Error handling and symbol table management. Run- time storage management. Programming language design. Introduction to compiler-writing tools. A software design project is required. Three lecture hours per week. Prerequisite(s): ECE 370 ECE 475     Comp Hardware Org/Design     4 Credit Hours Design methodology, performance analysis using probability and statistic methods, hardwired and microprogramming in CPU design, hardware design languages and memory design. Advanced concepts in computer architecture. A design project is required. Three lecture hours per week and one three-hour laboratory per week. Prerequisite(s): ECE 375 ECE 476     Intro to Parallel Processing     3 Credit Hours Advances in computer architecture, parallel structures, performance evaluation, memory bandwidth considerations, processing bandwidth, communication and synchronization. A design project is required. Three lecture hours per week. Prerequisite(s): ECE 375 ECE 478     Operating Systems     4 Credit Hours Introduction to computer operating systems. Process management, CPU scheduling, memory management, file systems and I/O devices. Advanced topics, e.g., multiprogramming and multitasking, virtual memory, deadlock, I/O, job scheduling, and performance analysis using queueing models, will be introduced. Case studies of modern operating systems. A design project is required. Prerequisite(s): CIS 310 or (CIS 350 or CIS 3501 or IMSE 350 or (ECE 370 and MATH 276) or (ECE 276 and ECE 370)) and IMSE 317* ECE 479     Artificial Intelligence     3 Credit Hours Basic concepts and methodology of artificial intelligence from a computer engineering perspective. Emphasis is placed on the knowledge representations, reasoning and algorithms for the design and implementation of intelligent systems. Introduction to an AI language and representative intelligence systems. A design project is required. Three lecture hours per week. Prerequisite(s): ECE 370 Electrical&Computer Engin (ECE) 7 ECE 480     Intro to Dig Signal Processing     4 Credit Hours Fundamentals of discrete-time signals and systems. Introduction to z- transform and its applications. Design of digital filters. Characteristics of analog-to-digital and digital-to-analog converters. Fourier transform of sequences, DFT and FFT algorithms. An introduction to software tools for the simulation and design of real time-digital filters. Implementation of digital systems using digital signal processing boards. Three hours lecture and three hours laboratory experiments per week. Prerequisite(s): (ECE 317 or ECE 3171) and (MATH 217 or MATH 227 or MATH 228) Corequisite(s): ECE 480L Restriction(s): Can enroll if College is Engineering and Computer Science ECE 488     Introduction to Machine Vision     4 Credit Hours Applications to machine vision. Representative topics are: optics and lighting, sensor characteristics, image acquisition, image analysis, segmentation, connectivity, shape description, hardware for vision applications, software considerations, applications including automatic inspection and metrology. Open lab and project will be required. Prerequisite(s): ECE 270 Restriction(s): Can enroll if Class is Senior ECE 4881     Introduction to Robot Vision     3 Credit Hours This course introduces the theories and modern technologies in robot vision. Topics include sensors, image analysis, region and segmentation, object recognition, stereo vision, optical flow, color image, object tracking and applications. Students cannot receive credit for both ECE 4881 and ECE 588. Three lecture hours per week. Prerequisite(s): ECE 270 Restriction(s): Can enroll if Class is Junior or Senior Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science Cannot enroll if Major is ECE 490     Selected Topics in Elec Engin     1 to 3 Credit Hours Advanced or applied topics in electrical engineering offered according to student's interest and availability of instructors and equipment. Lecture hours, laboratory, and/or computation period to be arranged. ECE 491     Directed Studies     1 to 4 Credit Hours Student in consultation with a faculty advisor will prepare a proposal in sufficient detail describing a subject topic to be studied. The proposal will be subject to approval by the department. A formal written and oral evaluation of the work performed are required for successful completion. Lecture hours, laboratory, and/or computation periods to be arranged. Restriction(s): Can enroll if Class is Senior or Graduate ECE 492     Directed Research     1 to 4 Credit Hours Student, in consultation with a faculty advisor will prepare a proposal in sufficient detail describing a research problem to be studied. The proposal will be subject to approval by the department. A formal written and oral evaluation of the research performed are required for successful completion. Lecture hours, laboratory, and/or computation period to be arranged. Restriction(s): Can enroll if Class is Senior or Graduate ECE 493     Design Factors in Eng     2 Credit Hours This course is comprised of a series of lectures on the subject of design. It will promote awareness of such factors as literature review, performance specifications, design considerations, product liability, standards and ethics, professional registration codes, patents and copyrights, packaging, documentation and report preparation. Two lecture hours. Restriction(s): Can enroll if Class is Senior or Graduate ECE 4951     Sys Desgn and Microcontrollers     3 Credit Hours Techniques for interfacing actuators and sensors to computers with emphasis on the use of a variety of microprocessors and a broad range of sensors. Topics include introduction to small microprocessors such as PIC16, PIC18, small systems such as oopic, basicx as well as using a PC as a controller. Control of motors and other actuators using opto- isolators and discrete electronics, use of H-bridges. Interfacing sensors that provide different encoding data, such as analog signals, digital communication using I2C protocol, handshake I/O, pulse width encoding. Interfacing to wireless communication using RF or IR. Includes laboratory experiments, individual midterm project and a final team project. Three lecture hours per week. (F,W) Prerequisite(s): ECE 311 and (ECE 372 or ECE 3731) ECE 4981     Electrical Engineering Des I     2 Credit Hours This course is conducted as a guided project design course over a two semester period, with the class divided into teams, each assigned a specific design project. Periodic progress reports, a final written report, an oral presentation and project demonstration are required. Cost analysis, societal impact, safety issues, evaluation of design alternatives and application of engineering principles will be emphasized. A series of tutorials will be presented to provide student teams with insight into important system level considerations and trade offs. Prerequisite(s): (COMP 270 or COMP 106 or COMP 220 or COMP 280) and (ECE 317 or ECE 3171) and (ECE 372 or ECE 3731) and (ECE 414 or ECE 415 or ECE 450 or ECE 460 or ECE 480 or ECE 4951) Restriction(s): Can enroll if Class is Senior Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science ECE 4982     Computer Engineering Des I     2 Credit Hours This course is conducted as a guided project design course over a two semester period, with the class divided into teams, each assigned a specific design project. Periodic progress reports, a final written report, an oral presentation and project demonstration are required. Cost analysis, societal impact, safety issues, evaluation of design alternatives and application of engineering principles will be emphasized. A series of tutorials will be presented to provide student teams with insight into important system level considerations and trade offs. Prerequisite(s): (COMP 270 or COMP 106 or COMP 220 or COMP 280) and (ECE 372 or ECE 3731) and ECE 375 and (ECE 471 or ECE 473 or ECE 475 or ECE 478) Restriction(s): Can enroll if Class is Senior Can enroll if Level is Undergraduate Can enroll if College is Engineering and Computer Science
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