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ECE

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School: University Of Toronto
ECE552 Tutorial Oct 4, 2013 Wenbo Dai daiwenbo@eecg.toronto.edu Exercise 3.7 Classic 5stage pipeline Predict branches as always taken Branch instructions: Decoded in D Target address computed in D At the end of D Branch is always taken F is flush
School: University Of Toronto
Course: Www.control.utoronto.ca/~broucke/ece311s/ECE311.html
Problem Set 1 Solutions Problem 1 The mathematical model is u vC + L iL + C The state space model is diL =0 dt dVC + h(vC ) = 0. dt dx1 1 1 = x2 u dt L L 1 1 dx2 = x1 h(x2 ). dt C C Problem 2 Freebody diagram: there are two masses, m1 and m2 , hence we w
School: University Of Toronto
Course: Discrete Mathematics
UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING ECE190F  Discrete Mathematics Final Examination December 7, 2005 SOLUTIONS Duration: 2.5 hours This is a "closed book" examination; no aids are permitted. No electronic or mechanica
School: University Of Toronto
Course: Algorithms And Data Structures
Solutions 1 Some solutions are only sketches: you should be able to ll in the details. Note again that if you are asked to prove NPcompleteness the rst thing you must do is prove membership of NP. As this is normally very easy, I have not, apart from the
School: University Of Toronto
Course: Fields And Waves
Problem 7.19 Ignoring reection at the airsoil boundary, if the amplitude of a 3GHz incident wave is 10 V/m at the surface of a wet soil medium, at what depth will it be down to 1 mV/m? Wet soil is characterized by r = 1, r = 9, and = 5 104 S/m. Solution:
School: University Of Toronto
Course: Random Pro
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering Random ProcessesECE537 Fall 2013 Homework #2 (Solutions) 1. Problem 617. (a) (See Equation 5.48) We have independent Poisson random variables, therefore: for k1 0, k2 0, k3 0 (1 t)k
School: University Of Toronto
Course: Random Pro
ECE 537H1S  Random Processes, Fall 2014 Synopsis: Introduction to the principles and properties of random processes, with applications to communications, control systems, and computer science. Prerequisites: Introductory probability (ECE 302), linear sys
School: University Of Toronto
Course: Internetworking
University of Toronto ECE461 Internetworking Introduction Administrations Course Management Form Discussion. Prerequisite: You have mastered the material covered in ECE361 2 Labs The main experience of this course are the labs Routers This is where
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Border Gateway Protocol This lecture is largely based on a BGP tutorial by T. Griffin from AT&T Research. Internet Infrastructure 2 Internet Infrastructure Location where a network (ISP, corporate network, or regional network) gets
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP Control Flow What is Flow/Congestion/Error Control the sender ? Flow Control: Algorithms to prevent that overruns the receiver with information Error Control: Algorithms to recover or conceal the from packet losses effects Con
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP  Part I First module on TCP which covers packet format, data transfer, and connection management. Transmission Control Protocol Is used by most applications on the Internet Ensures delivery of data across an unreliable Networ
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP  Part II What is Flow/Congestion/Error Control the sender ? Flow Control: Algorithms to prevent that overruns the receiver with information Error Control: Algorithms to recover or conceal the from packet losses effects Conges
School: University Of Toronto
Course: Fields And Waves
Problem 7.19 Ignoring reection at the airsoil boundary, if the amplitude of a 3GHz incident wave is 10 V/m at the surface of a wet soil medium, at what depth will it be down to 1 mV/m? Wet soil is characterized by r = 1, r = 9, and = 5 104 S/m. Solution:
School: University Of Toronto
Course: ECE335
ECE335F Introduction to Electronic Devices Prof. Joyce Poon joyce.poon@utoronto.ca Lecture 1, Sept. 10, 2015 1 A bit about myself Research Focus Si microring modulator Highperformance optoelectronic devices For communications and computing Ult
School: University Of Toronto
Course: ECE335
Version Control and SVN ECE 297 V. Betz, Why Do We Need Version Control? Whats the Problem? (1) edits File1.cpp File2.cpp builds prog.exe File1.h File2.h What if prog.exe is now broken? What if you made many changes before figuring out it was broken? 1. N
School: University Of Toronto
Course: ECE335
1 ENERGY BANDS AND BANDGAPS ECE335F, Lecture 04 Sept. 17, 2015 2 Last time Electrons and holes Electrons = mobile electrons that contribute to conduction Doping = introducing impurities Acceptors: impurities that create holes Donors: impurities that
School: University Of Toronto
Course: ECE335
1 BONDING AND ENERGY BANDS ECE335F, Lecture 03 Sept. 15, 2015 2 Bonding in Si Si forms 4 pairs of covalent bonds with its nearest neighbours Figure 1.4 The silicon crystal structure in a twodimensional representation. 3 Electrical conduction
School: University Of Toronto
Course: ECE335
Interval Scheduling Interval Partitioning Greedy Algorithms T. M. Murali February 3, 2009 Minimising Lateness Interval Scheduling Interval Partitioning Algorithm Design Start discussion of dierent ways of designing algorithms. Greedy algorithms, divide an
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm Equation Sheet Date: October 29, 2015 Time: 18:00  20:00 Location: UC 266 (AL) / UC 273 (MZ) Periodic functions Period of f (t) = T t, f (t + T ) = f (t) T 0 1 T 1 T Xrms = Voltage Sourced Inverter (VSI) 2 (x(t) dt T x(t)dt Xavg = x = 0
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 359 Midterm 2012F Solutions (Exam date: October 19, 2012) Problem 1: 24 points, Problem 2: 24 points, Problem 3: 32 points, Problem 4: 20 points Problem 1 (24 points) The above circuit can be used to supply a load (represented by the resistor R) from
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
Name: Student ID: ECE 314 Midterm October 21, 2013 Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt T 1 Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)] = x + n=1
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm 2014F Solutions Voltage Sourced Inverter (VSI) Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt 1 T Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm 2013F Solutions Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt 1 T Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)] = x + n=1 cn cos(nt + n ) n=1
School: University Of Toronto
Course: Electrical Fundamentals
Page 1 of 7 UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING ECE IIOHI S  ELECTRICAL FUNDAMENTALS FINAL EXAMINATION, APRIL 17, 2014, 9:30 am. First Year — Computer, Electrical, Industrial, Mechanical, Materials, and Track One Engineering
School: University Of Toronto
Course: Algorithms And Data Structures
Solutions 1 Some solutions are only sketches: you should be able to ll in the details. Note again that if you are asked to prove NPcompleteness the rst thing you must do is prove membership of NP. As this is normally very easy, I have not, apart from the
School: University Of Toronto
Course: Random Pro
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering Random ProcessesECE537 Fall 2013 Homework #2 (Solutions) 1. Problem 617. (a) (See Equation 5.48) We have independent Poisson random variables, therefore: for k1 0, k2 0, k3 0 (1 t)k
School: University Of Toronto
Course: Random Pro
Homework #10 1. (Resnick, Adventures in Stochastic Processes) The Media Police have identied six states associated with television watching: 0 (never watch TV), 1 (watch only PBS), 2 (watch TV fairly frequently), 3 (addict), 4 (undergoing behavior modicat
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE314 Fall 2014, Homework 3 UNGRADED This homework assignment will not be marked. It is intended to give you some practice in analyzing square wave and modied square wave dc/ac converter operation. Krein, Problem 6.1 The circuit diagram for this problem
School: University Of Toronto
Course: ECE335
Last Name: First Name: Student Number: ECE335F Tutorial Problem Set 3 Section 0 1 , Sept. 30, 2015 1. A density of 3 x 10'^ cm'^ of B atoms is added to a Si sample. Assuming complete ionization of the impurities, find EF  Ev at 400 K in units of eV. x) ^
School: University Of Toronto
Course: ECE335
ECE335F: Homework Problem Set 2 Tutorial: Week of Sept. 21, 2015 1. Is a Ntype or Ptype semiconductor electrically neutral? Why or why not? 2. Consider two types of impurities for Si: boron and phosphorus. Which impurity is a donor and which is an accep
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311 LAB 2: Familiarization with Equipment and Basic Cruise Control Design 1 Purpose The purpose of this experiment is to introduce you to the lab setup and the associated control problem. Namely, the design of a cruise contro
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311S LAB 3: Control Design Using the Root Locus 1 Purpose The purpose of this laboratory is to design a cruise control system for a car using the root locus. 2 Introduction Disturbance D( s) = d s Plant Input + Output a s+b V
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
University of Toronto Department of Electrical and Computer Engineering Laboratory ECE 314 Experiment: # 1 BUCK CONVERTER Each student must submit their individual lab prep according to the guidelines in the syllabus. Each group must submit one lab report
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
Ver. 2, October 18, 2013 Voltage Source Converters (VSC) A voltage source converter (VSC) is a converter that can operate as inverter, i.e. dctoac converter, or as a rectifier (acdc converter). They are frequently used in utility systems, as bidirectio
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
University of Toronto Department of Electrical and Computer Engineering Laboratory ECE 314 Experiment: # 3 Grid Connected DCAC Converters Objectives of the Experiment 1. To investigate the capabilities of a grid connected dc/ac converter 2. To explore co
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311S LAB 2: Familiarization with Equipment and Basic Cruise Control Design 1 Purpose The purpose of this experiment is to introduce you to the lab setup (the IP02 cart system by Quanser Inc.) and the associated control proble
School: University Of Toronto
Course: Fundamentals Of Electrical Circuits
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 110H1 S Electrical Fundamentals 2013 COURSE INFORMATION 1. COURSE DESCRIPTION A study of the physics of electricity and magnetism: Coulombs law, Gauss laws, BiotSav
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
20130912 Tutorial September1213 3:12 PM TUT01 Page 1 TUT01 Page 2 TUT01 Page 3
School: University Of Toronto
Course: Parallel Programming
CLASS GOALS AND ADVICE ON RESEARCH PROJECTS AND PAPER PRESENTATIONS I have designed this class in such a way to give you some fundamental lessons in how to do research in grad school. Both lectures and paper selection introduce some concepts without exha
School: University Of Toronto
Course: C++
. , 7 7 " 77 77 .7 7 7043777 77 _7 7 77 7 7 7. 7 _ 7 77 _7 . 7 7 7r .) 5 M j; i # :1 A 7 1% 7 7'77777z)_7§7_4k:¢ 7 f wee76 ,7 7 , _7 7 690170140 C/M/aT/(m; 77 _ 77 I . . _7 .7 . 7 77 E 4 5 I 777 we  77.7 77_7,77_77,77.7,7.E i 2 1 W
School: University Of Toronto
Course: Electrical Fundamentals
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 110H1 S Electrical Fundamentals 2015 COURSE INFORMATION 1. COURSE DESCRIPTION A study of the physics of electricity and magnetism: Coulombs law, Gauss laws, BiotSav
School: University Of Toronto
Course: Computer Security
ECE 568 Computer Security Winter 2012 Course Syllabus General Information Welcome to ECE 568! This course covers principles of computer systems security. It starts by examining how to identfy security vulnerabilites, how they can be exploited, and then di
School: University Of Toronto
Course: Internetworking
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 461 Internetworking Fall 2015 Course Management Form Instructor: Dr. Hamid Timorabadi, P. Eng. Email: h.timorabadi@utoronto.ca Criteria for Emails: Subject area of t
School: University Of Toronto
School: University Of Toronto
Course: Computer Organization
ECE243H1S Computer Organization Winter 2015 Overview How computers represent and manipulate information. What is assembly language and how it relates to highlevel programming languages. How to design a computer that works correctly How to interface exter
School: University Of Toronto
Course: Circuit Analysis
UNIVERSITY OF TORONTO  FACULTY OF APPLIED SCIENCE AND ENGINEERING Department of Electrical and Computer Engineering ECE212H1F CIRCUIT ANALYSIS  COURSE OUTLINE (FALL 2014) COURSE OBJECTIVES ECE212 covers fundamental concepts and techniques for the analys
School: University Of Toronto
ECE552 Tutorial Oct 4, 2013 Wenbo Dai daiwenbo@eecg.toronto.edu Exercise 3.7 Classic 5stage pipeline Predict branches as always taken Branch instructions: Decoded in D Target address computed in D At the end of D Branch is always taken F is flush
School: University Of Toronto
Course: Www.control.utoronto.ca/~broucke/ece311s/ECE311.html
Problem Set 1 Solutions Problem 1 The mathematical model is u vC + L iL + C The state space model is diL =0 dt dVC + h(vC ) = 0. dt dx1 1 1 = x2 u dt L L 1 1 dx2 = x1 h(x2 ). dt C C Problem 2 Freebody diagram: there are two masses, m1 and m2 , hence we w
School: University Of Toronto
Course: Discrete Mathematics
UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING ECE190F  Discrete Mathematics Final Examination December 7, 2005 SOLUTIONS Duration: 2.5 hours This is a "closed book" examination; no aids are permitted. No electronic or mechanica
School: University Of Toronto
Course: Algorithms And Data Structures
Solutions 1 Some solutions are only sketches: you should be able to ll in the details. Note again that if you are asked to prove NPcompleteness the rst thing you must do is prove membership of NP. As this is normally very easy, I have not, apart from the
School: University Of Toronto
Course: Fields And Waves
Problem 7.19 Ignoring reection at the airsoil boundary, if the amplitude of a 3GHz incident wave is 10 V/m at the surface of a wet soil medium, at what depth will it be down to 1 mV/m? Wet soil is characterized by r = 1, r = 9, and = 5 104 S/m. Solution:
School: University Of Toronto
Course: Random Pro
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering Random ProcessesECE537 Fall 2013 Homework #2 (Solutions) 1. Problem 617. (a) (See Equation 5.48) We have independent Poisson random variables, therefore: for k1 0, k2 0, k3 0 (1 t)k
School: University Of Toronto
Course: Random Pro
Homework #10 1. (Resnick, Adventures in Stochastic Processes) The Media Police have identied six states associated with television watching: 0 (never watch TV), 1 (watch only PBS), 2 (watch TV fairly frequently), 3 (addict), 4 (undergoing behavior modicat
School: University Of Toronto
Tutorial 3: Pipelining by: Shehab Elsayed shehab.elsayed@mail.utoronto.ca 27 Sep., 2013 Shehab Elsayed (ECE Dept., UofT) Tutorial 3 27 Sep., 2013 1 / 37 Outline 1 Problem 3.4: a,b,c,d 2 Problem 3.5 3 Problem 3.6: a,b,c,d 4 Problem 3.8 Shehab Elsayed (ECE
School: University Of Toronto
Course: Random Pro
ECE 537H1S  Random Processes, Fall 2014 Synopsis: Introduction to the principles and properties of random processes, with applications to communications, control systems, and computer science. Prerequisites: Introductory probability (ECE 302), linear sys
School: University Of Toronto
Course: Fundamentals Of Electrical Circuits
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 110H1 S Electrical Fundamentals 2013 COURSE INFORMATION 1. COURSE DESCRIPTION A study of the physics of electricity and magnetism: Coulombs law, Gauss laws, BiotSav
School: University Of Toronto
Course: Electrical Fundamentals
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 110H1 S Electrical Fundamentals 2015 COURSE INFORMATION 1. COURSE DESCRIPTION A study of the physics of electricity and magnetism: Coulombs law, Gauss laws, BiotSav
School: University Of Toronto
Course: Computer Security
ECE 568 Computer Security Winter 2012 Course Syllabus General Information Welcome to ECE 568! This course covers principles of computer systems security. It starts by examining how to identfy security vulnerabilites, how they can be exploited, and then di
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm Equation Sheet Date: October 29, 2015 Time: 18:00  20:00 Location: UC 266 (AL) / UC 273 (MZ) Periodic functions Period of f (t) = T t, f (t + T ) = f (t) T 0 1 T 1 T Xrms = Voltage Sourced Inverter (VSI) 2 (x(t) dt T x(t)dt Xavg = x = 0
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
20130912 Tutorial September1213 3:12 PM TUT01 Page 1 TUT01 Page 2 TUT01 Page 3
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 359 Midterm 2012F Solutions (Exam date: October 19, 2012) Problem 1: 24 points, Problem 2: 24 points, Problem 3: 32 points, Problem 4: 20 points Problem 1 (24 points) The above circuit can be used to supply a load (represented by the resistor R) from
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
Name: Student ID: ECE 314 Midterm October 21, 2013 Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt T 1 Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)] = x + n=1
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm 2014F Solutions Voltage Sourced Inverter (VSI) Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt 1 T Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm 2013F Solutions Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt 1 T Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)] = x + n=1 cn cos(nt + n ) n=1
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE314 Fall 2014, Homework 3 UNGRADED This homework assignment will not be marked. It is intended to give you some practice in analyzing square wave and modied square wave dc/ac converter operation. Krein, Problem 6.1 The circuit diagram for this problem
School: University Of Toronto
Course: ECE335
ECE335F Introduction to Electronic Devices Prof. Joyce Poon joyce.poon@utoronto.ca Lecture 1, Sept. 10, 2015 1 A bit about myself Research Focus Si microring modulator Highperformance optoelectronic devices For communications and computing Ult
School: University Of Toronto
Course: ECE335
Version Control and SVN ECE 297 V. Betz, Why Do We Need Version Control? Whats the Problem? (1) edits File1.cpp File2.cpp builds prog.exe File1.h File2.h What if prog.exe is now broken? What if you made many changes before figuring out it was broken? 1. N
School: University Of Toronto
Course: ECE335
1 ENERGY BANDS AND BANDGAPS ECE335F, Lecture 04 Sept. 17, 2015 2 Last time Electrons and holes Electrons = mobile electrons that contribute to conduction Doping = introducing impurities Acceptors: impurities that create holes Donors: impurities that
School: University Of Toronto
Course: ECE335
1 BONDING AND ENERGY BANDS ECE335F, Lecture 03 Sept. 15, 2015 2 Bonding in Si Si forms 4 pairs of covalent bonds with its nearest neighbours Figure 1.4 The silicon crystal structure in a twodimensional representation. 3 Electrical conduction
School: University Of Toronto
Course: ECE335
Interval Scheduling Interval Partitioning Greedy Algorithms T. M. Murali February 3, 2009 Minimising Lateness Interval Scheduling Interval Partitioning Algorithm Design Start discussion of dierent ways of designing algorithms. Greedy algorithms, divide an
School: University Of Toronto
Course: ECE335
1 SMALLSIGNAL MODEL, OPTOELECTRONIC APPLICATIONS (1) ECE335F, Lecture 18 Oct. 22, 2015 2 Smallsignal model Apply a timedependent voltage biased at VDC of the form V = VDC + v(t), where v VDC, and analyze the current Very often v(t) is assumed to
School: University Of Toronto
Course: ECE335
Separate Chaining Collision Resolution Collision: when two keys map to the same location in the hash table. Two ways to resolve collisions: 1. Separate Chaining 2. Open Addressing (linear probing, quadratic probing, double hashing) Open Hashing (Chaining)
School: University Of Toronto
Course: ECE335
EFFECTIVE OXIDE CAPACITANCE AND THICKNESS, DIGITAL IMAGING Lecture 25 Nov. 6, 2015 2 Last time: Nonidealities 1. Work function mismatch 2. Oxide charge Vg = V fb + s + Vox 2 Vt =V fb + 2 B + qN a s B Cox Qox V fb = m s Cox 3. Polygate depletion (deplet
School: University Of Toronto
Course: ECE335
1 OHMIC CONTACTS, MICRO/NANOFABRICATION ECE335F, Lecture 21 Oct. 29, 2015 2 Last time: Schottky diodes Ntype Ptype m > s Rectifying Ohmic m < s Ohmic Rectifying Ntype Builtin potential Schottky barrier (Ec,surface  EF) qbi = q (m s ) q Bn = q m V P
School: University Of Toronto
Course: ECE335
1 METALSEMICONDUCTOR JUNCTIONS: SCHOTTKY DIODES ECE335F, Lecture 20 Oct. 27, 2015 2 Metalsemiconductor junctions Two possible behaviours Resistive Ohmic contact Rectifying Schottky diode P metal N metal 3 Definitions vacuum level, Evac Work function
School: University Of Toronto
Course: ECE335
VELOCITY SATURATION, DIGITAL SWITCHING, ANALOG SMALLSIGNAL MODEL Lecture 28 Nov. 13, 2015 2 Velocity saturation So far, surface mobility is assumed to be constant In reality, carrier velocity and mobility saturate with the strength of the electric fiel
School: University Of Toronto
Course: Random Pro
ECE 537H1S  Random Processes, Fall 2014 Synopsis: Introduction to the principles and properties of random processes, with applications to communications, control systems, and computer science. Prerequisites: Introductory probability (ECE 302), linear sys
School: University Of Toronto
Course: Internetworking
University of Toronto ECE461 Internetworking Introduction Administrations Course Management Form Discussion. Prerequisite: You have mastered the material covered in ECE361 2 Labs The main experience of this course are the labs Routers This is where
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Border Gateway Protocol This lecture is largely based on a BGP tutorial by T. Griffin from AT&T Research. Internet Infrastructure 2 Internet Infrastructure Location where a network (ISP, corporate network, or regional network) gets
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP Control Flow What is Flow/Congestion/Error Control the sender ? Flow Control: Algorithms to prevent that overruns the receiver with information Error Control: Algorithms to recover or conceal the from packet losses effects Con
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP  Part I First module on TCP which covers packet format, data transfer, and connection management. Transmission Control Protocol Is used by most applications on the Internet Ensures delivery of data across an unreliable Networ
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP  Part II What is Flow/Congestion/Error Control the sender ? Flow Control: Algorithms to prevent that overruns the receiver with information Error Control: Algorithms to recover or conceal the from packet losses effects Conges
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP  Part III TCP Timers Acknowledgements TCP Timers TCP maintains four (4) timers for each connection: Retransmission Timer: The timer is started during a transmission. A timeout causes a retransmission. Persist Timer: Ensure
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking IP Forwarding Relates to Lab 3. Covers the principles of endtoend datagram delivery in IP networks. Overview Internet is a collection of networks (clouds). IP provides an endtoend delivery service for IP datagrams between host
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Transport Protocols An overview of the transport protocols of the TCP/IP protocol suite. Also, a short discussion of UDP. Orientation We move one layer up and look at the transport layer. Transport layer is present in both TCP/IP
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Dynamic Routing Protocols I RIP This is the first module on the topic of dynamic routing protocols. This module provides an overview of routing, introduces terminology (interdomain, intradomain, autonomous system). Routing Recall:
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Dynamic Routing Protocols II OSPF This module covers link state routing and the Open Shortest Path First (OSPF) routing protocol. Distance Vector vs. Link State Routing With distance vector routing, each node has information only a
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Router Architectures An overview of router architectures. Introduction What is a Packet Switch? Basic Architectural Components Some Example Packet Switches The Evolution of IP Routers 2 Router Components Hardware components of a
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Address Lookup in IP Routers Routing Table Lookup Routing Table Switch Fabric Output Scheduling Routing Decision Routing Table Forwarding Decision Routing Table Forwarding Decision 2 IPv4 Routing Table Size Source: Geoff Huston, APN
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Review of Important Networking Concepts Introductory material. This module uses the example from the previous module to review important networking concepts: protocol architecture, protocol layers, encapsulation, demultiplexing, net
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Internet Control Message Protocol (ICMP) Overview The IP (Internet Protocol) relies on several other protocols to perform necessary control and routing functions: Control functions (ICMP) Multicast signaling (IGMP) Setting up ro
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking TCP/IP Networking An Example Introductory material. This module illustrates the interactions of the protocols of the TCP/IP protocol suite with the help of an example. A simple TCP/IP Example A user on host argon.tcpiplab.edu (Arg
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Summary of Key Concepts IPv4 Addresses Computers/Printers Suppose: Having computers and printers Need to communicate with each other, e.g. email, FTP, 2 Local Area Network If only two computers then can just connect them by a s
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking IPv4  The Internet Protocol Version 4 Orientation IP (Internet Protocol) is a Network Layer Protocol. There are currently two versions in use: IPv4 (version 4) and IPv6 (Version 6) Here we discuss IPv4 2 IP: The waist of the hou
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Address Resolution Protocol (ARP) Overview 2 Need for Address Translation Note: The Internet is based on IP addresses Local area networks use MAC addresses The ARP and RARP protocols perform the translation between IP and MAC la
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Data Link Protocols Relates to Lab 2. This module covers data link layer issues, such as local area networks (LANs) and pointtopoint links, Ethernet, and the PointtoPoint Protocol (PPP). OSI Model (ISO 7498) Was developed under
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Subnetting and Supernetting Network Prefix and Host number IP address consists of a network prefix and a host number Prefix notation: 128.100._._/16 Notation with netmask: 128.100._._ 255.255.0.0 2 Actual Network Prefix IP addre
School: University Of Toronto
Course: Internetworking
ECE461 Internetworking Introduction to IPv6 Addresses IPv6 Header 32 bits version (4 bits) Tra ffic Class (8 bits) Flow La bel (24 bits) N ext Hea der (8 bits) Pa yloa d Length (1 6 bits) Hop Limits (8 bits) Source IP a ddress (1 28 bits) Destina tion IP
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
School: University Of Toronto
Course: Fields And Waves
Problem 7.19 Ignoring reection at the airsoil boundary, if the amplitude of a 3GHz incident wave is 10 V/m at the surface of a wet soil medium, at what depth will it be down to 1 mV/m? Wet soil is characterized by r = 1, r = 9, and = 5 104 S/m. Solution:
School: University Of Toronto
Course: ECE335
ECE335F Introduction to Electronic Devices Prof. Joyce Poon joyce.poon@utoronto.ca Lecture 1, Sept. 10, 2015 1 A bit about myself Research Focus Si microring modulator Highperformance optoelectronic devices For communications and computing Ult
School: University Of Toronto
Course: ECE335
Version Control and SVN ECE 297 V. Betz, Why Do We Need Version Control? Whats the Problem? (1) edits File1.cpp File2.cpp builds prog.exe File1.h File2.h What if prog.exe is now broken? What if you made many changes before figuring out it was broken? 1. N
School: University Of Toronto
Course: ECE335
1 ENERGY BANDS AND BANDGAPS ECE335F, Lecture 04 Sept. 17, 2015 2 Last time Electrons and holes Electrons = mobile electrons that contribute to conduction Doping = introducing impurities Acceptors: impurities that create holes Donors: impurities that
School: University Of Toronto
Course: ECE335
1 BONDING AND ENERGY BANDS ECE335F, Lecture 03 Sept. 15, 2015 2 Bonding in Si Si forms 4 pairs of covalent bonds with its nearest neighbours Figure 1.4 The silicon crystal structure in a twodimensional representation. 3 Electrical conduction
School: University Of Toronto
Course: ECE335
Interval Scheduling Interval Partitioning Greedy Algorithms T. M. Murali February 3, 2009 Minimising Lateness Interval Scheduling Interval Partitioning Algorithm Design Start discussion of dierent ways of designing algorithms. Greedy algorithms, divide an
School: University Of Toronto
Course: ECE335
1 SMALLSIGNAL MODEL, OPTOELECTRONIC APPLICATIONS (1) ECE335F, Lecture 18 Oct. 22, 2015 2 Smallsignal model Apply a timedependent voltage biased at VDC of the form V = VDC + v(t), where v VDC, and analyze the current Very often v(t) is assumed to
School: University Of Toronto
Course: ECE335
Separate Chaining Collision Resolution Collision: when two keys map to the same location in the hash table. Two ways to resolve collisions: 1. Separate Chaining 2. Open Addressing (linear probing, quadratic probing, double hashing) Open Hashing (Chaining)
School: University Of Toronto
Course: ECE335
EFFECTIVE OXIDE CAPACITANCE AND THICKNESS, DIGITAL IMAGING Lecture 25 Nov. 6, 2015 2 Last time: Nonidealities 1. Work function mismatch 2. Oxide charge Vg = V fb + s + Vox 2 Vt =V fb + 2 B + qN a s B Cox Qox V fb = m s Cox 3. Polygate depletion (deplet
School: University Of Toronto
Course: ECE335
1 OHMIC CONTACTS, MICRO/NANOFABRICATION ECE335F, Lecture 21 Oct. 29, 2015 2 Last time: Schottky diodes Ntype Ptype m > s Rectifying Ohmic m < s Ohmic Rectifying Ntype Builtin potential Schottky barrier (Ec,surface  EF) qbi = q (m s ) q Bn = q m V P
School: University Of Toronto
Course: ECE335
1 METALSEMICONDUCTOR JUNCTIONS: SCHOTTKY DIODES ECE335F, Lecture 20 Oct. 27, 2015 2 Metalsemiconductor junctions Two possible behaviours Resistive Ohmic contact Rectifying Schottky diode P metal N metal 3 Definitions vacuum level, Evac Work function
School: University Of Toronto
Course: ECE335
VELOCITY SATURATION, DIGITAL SWITCHING, ANALOG SMALLSIGNAL MODEL Lecture 28 Nov. 13, 2015 2 Velocity saturation So far, surface mobility is assumed to be constant In reality, carrier velocity and mobility saturate with the strength of the electric fiel
School: University Of Toronto
Course: ECE335
MOS CAPACITOR: NONIDEALITIES Lecture 24 Nov. 5, 2015 2 Last time Threshold (Vg = Vt) Found threshold voltage kT ! N a $ st = 2 ln # & q # ni & " % CV relation Vg = s + Vox = qN aWdep 2 s 2 + qN aWdep 2 Vt = 2 B + qN a s B Cox Wdep,max = 4 s B qN a Whe
School: University Of Toronto
Course: ECE335
MOSFET IV RELATION Lecture 27 Nov. 12, 2015 2 Ids Last time  overview Vgs > Vt Small Vds > 0 Vgs S N+ G Vdsat Larger Vds Vgs Vds Vds D N+ Pbody Depletion layer Vds = Vdsat (saturation voltage) Vgs Vds Vds > Vdsat Vgs Lost inversion Channel pinch off Vd
School: University Of Toronto
Course: ECE335
MOS FIELD EFFECT TRANSISTOR Lecture 26 Nov. 10, 2015 2 MOSFET NChannel (NFET or NMOS) Vgs> Vt N+ Source oxide Vds > 0 Gate Ids N+ Drain Pbody Vgs: Gate voltage relative to source Vds: Drain voltage relative to source Vdd: Supply voltage Source: take to
School: University Of Toronto
Course: ECE335
1 PN JUNCTION DIODES: QUALITATIVE DESCRIPTION ECE335F, Lecture 12 Oct. 6, 2015 2 Last time Wrapped up carrier transport Diffusion Einsteins relation Excess carriers Builtin electric field in a nonuniform semiconductor QuasiFermi levels Inclass
School: University Of Toronto
Course: ECE335
1 CURRENT CONTINUITY, IV RELATION ECE335F, Lecture 16 Oct. 15, 2015 2 Last time Steps for analysis: 1. Find pN(x) and nP(x) 2. Find JP,diff(x = xn) and JN,diff(x = xp). 3. Since J = JN + JP and the current is assumed to be constant in the depletion region
School: University Of Toronto
Course: ECE335
1 REVERSE BREAKDOWN, FORWARD BIAS ECE335F, Lecture 15 Oct. 13, 2015 2 Last week PN junction electrostatics d E (x) 1. Charge density = dx s 2. Electric field dV =E 3. Electrostatic potential dx (ve of shape of the energy bands) Derived: Depletion laye
School: University Of Toronto
Course: ECE335
1 PN DIODE APPROXIMATIONS ECE335F, Lecture 17 Oct. 20, 2015 2 Last time Derived IV relation Current continuity and minority carrier diffusion equation d 2 p p p = = 2 2 dx D p p L p d 2 n! n' n! = = 2 2 Dn n Ln dx Derived IV relationship of the diode F
School: University Of Toronto
Course: ECE335
EFFECTIVE OXIDE CAPACITANCE AND THICKNESS, DIGITAL IMAGING Lecture 25 Nov. 6, 2015 2 Last time: Nonidealities 1. Work function mismatch 2. Oxide charge Vg = V fb + s + Vox 2 Vt =V fb + 2 B + qN a s B Cox Qox V fb = m s Cox 3. Polygate depletion (deplet
School: University Of Toronto
Course: ECE335
1 OPTOELECTRONIC APPLICATIONS (2): SOLAR CELLS AND LEDS ECE335F, Lecture 19 Oct. 23, 2015 2 Last time Solar cell Photons I Front contact electron Load No light With light N Voc hole P Isc V Maximal efficiency operating point (biggest rectangle) Rear con
School: University Of Toronto
Course: ECE335
MOSFET IV RELATION Lecture 27 Nov. 12, 2015 2 Ids Last time  overview Vgs > Vt Small Vds > 0 Vgs S N+ G Vdsat Larger Vds Vgs Vds Vds D N+ Pbody Depletion layer Vds = Vdsat (saturation voltage) Vgs Vds Vds > Vdsat Vgs Lost inversion Channel pinch off Vd
School: University Of Toronto
Course: ECE335
MOS CAPACITOR Lecture 23 Nov. 3, 2015 2 Vg Last time MOS capacitor, with a Ptype substrate M O S Accumulation (Vg < 0) Depletion (Vg > 0) Inversion (Vg > Vt, Vt :threshold voltage) Threshold: when surface charge density (ns) = bulk doping density (N
School: University Of Toronto
Course: ECE335
MOS FIELD EFFECT TRANSISTOR Lecture 26 Nov. 10, 2015 2 MOSFET NChannel (NFET or NMOS) Vgs> Vt N+ Source oxide Vds > 0 Gate Ids N+ Drain Pbody Vgs: Gate voltage relative to source Vds: Drain voltage relative to source Vdd: Supply voltage Source: take to
School: University Of Toronto
Course: ECE335
MOS CAPACITOR: NONIDEALITIES Lecture 24 Nov. 5, 2015 2 Last time Threshold (Vg = Vt) Found threshold voltage kT ! N a $ st = 2 ln # & q # ni & " % CV relation Vg = s + Vox = qN aWdep 2 s 2 + qN aWdep 2 Vt = 2 B + qN a s B Cox Wdep,max = 4 s B qN a Whe
School: University Of Toronto
Course: ECE335
1 OHMIC CONTACTS, MICRO/NANOFABRICATION ECE335F, Lecture 21 Oct. 29, 2015 2 Last time: Schottky diodes Ntype Ptype m > s Rectifying Ohmic m < s Ohmic Rectifying Ntype Builtin potential Schottky barrier (Ec,surface  EF) qbi = q (m s ) q Bn = q m V P
School: University Of Toronto
Course: ECE335
TRANSISTORS, MOS CAPACITOR OVERVIEW Lecture 22 Oct. 30, 2015 2 Transistors Transferresistor 3 terminals a small signal (current or voltage) in one terminal controls a much larger signal between the other pair of terminals Switching element Amplifier
School: University Of Toronto
Course: ECE335
1 METALSEMICONDUCTOR JUNCTIONS: SCHOTTKY DIODES ECE335F, Lecture 20 Oct. 27, 2015 2 Metalsemiconductor junctions Two possible behaviours Resistive Ohmic contact Rectifying Schottky diode P metal N metal 3 Definitions vacuum level, Evac Work function
School: University Of Toronto
Course: ECE335
1 SMALLSIGNAL MODEL, OPTOELECTRONIC APPLICATIONS (1) ECE335F, Lecture 18 Oct. 22, 2015 2 Smallsignal model Apply a timedependent voltage biased at VDC of the form V = VDC + v(t), where v VDC, and analyze the current Very often v(t) is assumed to
School: University Of Toronto
Course: ECE335
1 CURRENT CONTINUITY, IV RELATION ECE335F, Lecture 16 Oct. 15, 2015 2 Last time Steps for analysis: 1. Find pN(x) and nP(x) 2. Find JP,diff(x = xn) and JN,diff(x = xp). 3. Since J = JN + JP and the current is assumed to be constant in the depletion region
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm Equation Sheet Date: October 29, 2015 Time: 18:00  20:00 Location: UC 266 (AL) / UC 273 (MZ) Periodic functions Period of f (t) = T t, f (t + T ) = f (t) T 0 1 T 1 T Xrms = Voltage Sourced Inverter (VSI) 2 (x(t) dt T x(t)dt Xavg = x = 0
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 359 Midterm 2012F Solutions (Exam date: October 19, 2012) Problem 1: 24 points, Problem 2: 24 points, Problem 3: 32 points, Problem 4: 20 points Problem 1 (24 points) The above circuit can be used to supply a load (represented by the resistor R) from
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
Name: Student ID: ECE 314 Midterm October 21, 2013 Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt T 1 Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)] = x + n=1
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm 2014F Solutions Voltage Sourced Inverter (VSI) Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt 1 T Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE 314 Midterm 2013F Solutions Periodic functions Period of f (t) = t, f (t + T ) = f (t) T 2 1 T Xrms = T 0 (x(t) dt 1 T Xavg = x = T 0 x(t)dt Fourier series For x(t) with period T = 2 , x(t) = x + [an cos(nt) + bn sin(nt)] = x + n=1 cn cos(nt + n ) n=1
School: University Of Toronto
Course: Electrical Fundamentals
Page 1 of 7 UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING ECE IIOHI S  ELECTRICAL FUNDAMENTALS FINAL EXAMINATION, APRIL 17, 2014, 9:30 am. First Year — Computer, Electrical, Industrial, Mechanical, Materials, and Track One Engineering
School: University Of Toronto
Course: Discrete Mathematics
UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING ECE19OS — Discrete Mathematics Final Examination ‘ May 1, 2006 Examiner: John Carter Duration: 2.5 hours o This is a “closed book” examination; no aids are permitted. o No electronic or mech
School: University Of Toronto
Course: Discrete Mathematics
UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING ECE190H1 — Discrete Mathematics Final Examination April 27, 2007 Examiner: Mahdi Shabany Duration: 2.5 hours 0 This is a “closed book" test; no aids are permitted. 0 No electronic or mechani
School: University Of Toronto
Course: Computer Organization
Student # (use if pages get separated) _ UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING FINAL EXAMINATION, APRIL 2012 Second Year ECE243H1 S COMPUTER ORGANIZATION Exam Type: D Examiner P. Anderson, N. Enright Jerger, A. Moshovos Instruct
School: University Of Toronto
Course: Computer Organization
UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING FINAL EXAMINATION, DECEMBER 2004 Third Year  Computer / Electrical ECE341H1F — COMPUTER ORGANIZATION Exam Type: D Examiners — D. Lie (01), G. Steffan (02,04), G. Gulak (03) Instructions Thi
School: University Of Toronto
Course: Computer Organization
Print: First Name:. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Last Name:. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Student Number:. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Un
School: University Of Toronto
Course: Computer Organization
I l ll H University of Toronto Faculty of Applied Science and Engineering Final Examination December 2001 Exam Type: D ECE341 — Computer Organization Examiners: P. Anderson. A. Bilas, and A. Moshovos Instructions l. Thla la a type D exam. You are allowed
School: University Of Toronto
Course: Computer Organization
UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING FINAL EXAMINATION, DECEMBER 2002 Third Year — Computer / Electrical ECE341H1F — COMPUTER ORGANIZATION Exam Type: D Examiners  M. Hu P. Anderson ECEMIF Computer Organization page I of 10 Fin
School: University Of Toronto
Course: Computer Organization
Student # (use if pages get separated) _ UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING MIDTERM EXAMINATION, MARCH 15, 2012 Second Year ECE243H1 S COMPUTER ORGANIZATION Examiners Phil Anderson, Natalie Enright Jerger, Andreas Moshovos In
School: University Of Toronto
Course: Computer Networks
University of Toronto Department of Electrical and Computer Engineering ECE361 Computer Networks Final Exam April 29, 2013 Instructor: Professor Valaee Last Name: First Name: Student Number: Signature: Instructions ° This is a Type A examination. 0 You a
School: University Of Toronto
Course: Computer Networks
ECE361 SP15 —Final Exam Page 1 of 14 UNIVERSITY OF TORONTO  DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE361 — Computer Networks I Final Exam 9:30 am — 12:00 pm, April 23, 2015 Examiner: B. Liang Last Name: First Name: Student Number: Instruction
School: University Of Toronto
Course: Computer Networks
University of Toronto Department of Electrical and Computer Engineering ECE361— Computer Networks Final Exam April 25, 2014 Instructor: Professor Valaee Last Name: First Name: Student Number: Signature: Instructions ° This is a Type A examination.
School: University Of Toronto
Course: Computer Networks
ECE361 SP10 Test 1 Page 1 of 8 UNIVERSITY OF TORONTO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE361 Computer Networks I Term Test 1 13:10 14:00, February 8, 2010 Instructor: B. Liang First Name: _ Last Name: _ Student Number: _ Signature: _ Inst
School: University Of Toronto
Course: Computer Networks
ECE361 SP10 Test 2 Page 1 of 9 UNIVERSITY OF TORONTO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE361 Computer Networks I Term Test 2 13:10 14:00, March 15, 2010 Instructor: B. Liang Last Name: _ First Name: _ Student Number: _ Signature: _ Instru
School: University Of Toronto
Course: Computer Networks
ECE361 SP09 Final Exam Page 1 of 15 UNIVERSITY OF TORONTO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE361 Computer Networks I Final Exam 9:30 12:00, April 17, 2009 Examiner: B. Liang Last Name: _ First Name: _ Student Number: _ Instructions This
School: University Of Toronto
Course: Computer Networks
ECE361 SP09 Test 2 Page 1 of 10 UNIVERSITY OF TORONTO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE361 Computer Networks I Term Test 2 11:10 12:00, March 26, 2009 Instructor: B. Liang Last Name: _ First Name: _ Student Number: _ Signature: _ Instr
School: University Of Toronto
Course: Computer Networks
Student Name: Student Number: UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING Final Examination December 19, 2013 ECE361F — Computer Networks Type A Exam: Closed Book, NonProgrammable Calculators Examiner: A. Leon—Garcia Page 1 of 15
School: University Of Toronto
Course: Computer Networks
ECE361 SP09 Test 1 Page 1 of 8 UNIVERSITY OF TORONTO DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE361 Computer Networks I Term Test 1 11:10 12:00, February 12, 2009 Instructor: B. Liang Last Name: _ First Name: _ Student Number: _ Signature: _ Ins
School: University Of Toronto
Course: Computer Networks
University of Toronto Department of Electrical and Computer Engineering ECE361 Computer Networks Final Exam December 14, 2011 Instructor: Professor Valaee Last Name: First Name: Student Number:~ Si gnaturez. Instructions ° This is a Type A'examination.
School: University Of Toronto
Course: Computer Networks
University of Toronto Department of Electrical and Computer Engineering. ECE361 Computer Networks Final Exam December 16, 2010 Instructor: Professor Valaee Last Name: First Name: Student Number: Signature: Instructions 0 This is a Type A examination. 0 Y
School: University Of Toronto
Course: Fields And Waves
Family Name: Given name: Student number Signature Faculty of Applied Science and Engineering ECE357 Electromagnetic Fields First Test, February 16, 2006 Examiners M. Mojahedi Only Calculators approved by Registrar allowed Answer the questions in the space
School: University Of Toronto
Course: Fields And Waves
Family Name: Given name: Student number Signature Faculty of Applied Science and Engineering ECE357 Electromagnetic Fields First Test, February 4, 2005 Examiners M. Mojahedi Only Calculators approved by Registrar allowed Answer the questions in the spaces
School: University Of Toronto
Course: Fields And Waves
Question 2 (35 marks) A 75 lossless transmission line, with r = 2.25, is connected to a 40 V pulse generator with a source impedance of 125 . The line is 200 m long and is terminated in a 25 load. At time t = 0, a single rectangular pulse of width 1 s is
School: University Of Toronto
Course: Electrical Fundamentals
ECE110  Quiz #5 Only nonprogrammable calculators are allowed. Duration: 30 Minutes First Name: _ Last Name: _ Student #:_ Tutorial Section: _ [5 Marks] Determine Thevenins equivalent of the following circuit. R1= 6 2.I Volts R3= 10  + V= 20Volts +  R2
School: University Of Toronto
Course: Electrical Fundamentals
ECE110  Quiz #4 Only nonprogrammable calculators are allowed. Duration: 30 Minutes First Name: _ Last Name: _ Student #:_ Tutorial Section: _ In the circuit shown below apply Nodal Analysis to determine: a) Voltage at nodes b and c. [2 Marks] b) Current
School: University Of Toronto
Course: Algorithms And Data Structures
Solutions 1 Some solutions are only sketches: you should be able to ll in the details. Note again that if you are asked to prove NPcompleteness the rst thing you must do is prove membership of NP. As this is normally very easy, I have not, apart from the
School: University Of Toronto
Course: Random Pro
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering Random ProcessesECE537 Fall 2013 Homework #2 (Solutions) 1. Problem 617. (a) (See Equation 5.48) We have independent Poisson random variables, therefore: for k1 0, k2 0, k3 0 (1 t)k
School: University Of Toronto
Course: Random Pro
Homework #10 1. (Resnick, Adventures in Stochastic Processes) The Media Police have identied six states associated with television watching: 0 (never watch TV), 1 (watch only PBS), 2 (watch TV fairly frequently), 3 (addict), 4 (undergoing behavior modicat
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
ECE314 Fall 2014, Homework 3 UNGRADED This homework assignment will not be marked. It is intended to give you some practice in analyzing square wave and modied square wave dc/ac converter operation. Krein, Problem 6.1 The circuit diagram for this problem
School: University Of Toronto
Course: ECE335
Last Name: First Name: Student Number: ECE335F Tutorial Problem Set 3 Section 0 1 , Sept. 30, 2015 1. A density of 3 x 10'^ cm'^ of B atoms is added to a Si sample. Assuming complete ionization of the impurities, find EF  Ev at 400 K in units of eV. x) ^
School: University Of Toronto
Course: ECE335
ECE335F: Homework Problem Set 2 Tutorial: Week of Sept. 21, 2015 1. Is a Ntype or Ptype semiconductor electrically neutral? Why or why not? 2. Consider two types of impurities for Si: boron and phosphorus. Which impurity is a donor and which is an accep
School: University Of Toronto
Course: ECE335
Last Name: 30 UT ions First Name: Student Number: ECE335F Tutorial Problem Set 7 Section 02, Oct. 27, 2015 1. Assuming the diffusion constant (Dn, Dp), diffusion iength (Ln, LP), and bandgap are roughly constant over a temperature range of interest, find
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 2 Due: Friday, October 16. Submit at beginning of class. Transfer Functions and Solutions of Linear Dierential Equations 1. For the system
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 6 Due: Tuesday, December 8. Submit at beginning of class. Solve at least one of the problems in Section 1, and two of the problems in Secti
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 1 Due: Friday, October 2. Submit at beginning of class. 1 Models of Control Systems 1. The controlled Van der Pol oscillator has the circui
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 1 Due: Friday, October 2. Submit at beginning of class. 1 Models of Control Systems 1. The controlled Van der Pol oscillator has the circui
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 3 Due: Friday, October 30. Submit at beginning of class. Time response and control specications 1. Consider the closed loop system in Figur
School: University Of Toronto
Course: Dynamic Systems And Control
ECE311S Dynamic Systems & Control Course notes by Bruce Francis January 2010 Contents 1 Introduction 1.1 Familiar Examples . . . . . . 1.2 DC to DC Voltage Converters 1.3 Linear Functions . . . . . . . 1.4 Notation . . . . . . . . . . . . . . . . . . . .
School: University Of Toronto
Course: Dynamic Systems And Control
Problem Set 10 Solutions Problem 1 Let K = k1 k2 . We need to show that the eigenvalues of A + BK can be assigned to be the eigenvalues of any real 2x2 matrix by a suitable choice of K . To do this, we simply need to show that with a suitable K , the char
School: University Of Toronto
Course: Dynamic Systems And Control
Problem Set 9 Solutions Problem 1 The Bode plot of 500 with phase and gain margins is depicted in Figure 1. s(s + 10)(s + 100) Bode Diagram Gm = 46.8 dB (at 31.6 rad/sec) , Pm = 86.9 deg (at 0.499 rad/sec) 50 Magnitude (dB) 0 50 100 150 200 90 Phase (deg)
School: University Of Toronto
Course: Dynamic Systems And Control
ECE311S: Dynamic Systems and Control Problem Set 3 Problem 1 For the system described by the ODE . y + 3 2y + y = u 3u + 2u, y nd the transfer function from u to y . Next, nd a state space representation of the system. Problem 2 For the system with state
School: University Of Toronto
Course: Dynamic Systems And Control
Problem Set 1 Solutions Problem 1 The mathematical model is u vC + L iL + C The state space model is diL =0 dt dVC + h(vC ) = 0. dt dx1 1 1 = x2 u dt L L 1 1 dx2 = x1 h(x2 ). dt C C Problem 2 Freebody diagram: there are two masses, m1 and m2 , hence we w
School: University Of Toronto
Course: Dynamic Systems And Control
ECE311S: Dynamic Systems and Control Problem Set 1 Problem 1 The controlled Van der Pol oscillator has the circuit diagram shown below. i + _ u iL + + C _ vC i = h(v ) v L _ The output of the system is the voltage accross the capacitor, vC . The nonlinear
School: University Of Toronto
Course: Dynamic Systems And Control
ECE311S: Dynamic Systems and Control Problem Set 6 Problem 1 Given the unity feedback system of Figure 1 with G(s) = (s2 Ks(s + 2) 4s + 8)(s + 3) a. Find the range of K for stability. b. Find the frequency of oscillation when the system is marginally sta
School: University Of Toronto
Course: Dynamic Systems And Control
Problem Set 5 Solutions Problem 1 Combine G6 and G7 yielding G6 G7 . Add G4 and obtain the following diagram: C (s) G8 R(s) G5 G1 + G4 + G6 G7 G2 + + G3 Figure 1: Initial block diagram. Next combine G3 and G4 + G6 G7 , as shown in Figure 2. Push G5 to the
School: University Of Toronto
Course: Dynamic Systems And Control
ECE311S: Dynamic Systems and Control Problem Set 4 Problem 1 Compute eAt using the Laplace transform method and the eigenvalue/eigenvector method for the following matrix: A= 2 2 0 1 . 0 3 4 0 0 Problem 2 Determine the best method to compute eAt for the f
School: University Of Toronto
Course: Dynamic Systems And Control
ECE311S: Dynamic Systems and Control Problem Set 2 Problem 1 You are given a nonlinear system x1 = x1 + u x2 = 2x2 + x3 x3 = ex1 x2 + u y = x1 + x2 . (i) Setting u = 1, nd the equilibrium point of the system. (ii) Find a linearized model of the system abo
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 5 Due: Friday, November 27. Submit at beginning of class. Nyquist Stability Criterion 1. For each of the following cases, using the Nyquist
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 1 Solutions 1 Models of Control Systems Note: The solutions to problems 3, 4, and 5 in this section are omitted because they were presented
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 2 Solutions Transfer Functions and Solutions of Linear Dierential Equations Note: The solution to problems 1, 6 is omitted because it was p
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 4 Solutions SteadyState Error 1. Design the values of K1 and K2 in the system below to meet the following specications: steadystate error
School: University Of Toronto
Course: Dynamic Systems And Control
University of Toronto Department of Electrical and Computer Engineering ECE311 Dynamic Systems and Control Homework 4 Due: Friday, November 13. Submit at beginning of class. SteadyState Error 1. Design the values of K1 and K2 in the system below to meet
School: University Of Toronto
Course: High
Written Assignment 1 Math 100 Fall 2013 Due: Friday, September 27 Total: 100 points 1. (10 pts) Solve the given inequality, and illustrate the solution set on the real line. (a) x2 (x2 1)(x + 1)(x + 3) (x2 1)(3x 2)(x + 1)(x + 3) (b) 2x < 3x + 4 2x2 + 5x 2
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311 LAB 2: Familiarization with Equipment and Basic Cruise Control Design 1 Purpose The purpose of this experiment is to introduce you to the lab setup and the associated control problem. Namely, the design of a cruise contro
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311S LAB 3: Control Design Using the Root Locus 1 Purpose The purpose of this laboratory is to design a cruise control system for a car using the root locus. 2 Introduction Disturbance D( s) = d s Plant Input + Output a s+b V
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
University of Toronto Department of Electrical and Computer Engineering Laboratory ECE 314 Experiment: # 1 BUCK CONVERTER Each student must submit their individual lab prep according to the guidelines in the syllabus. Each group must submit one lab report
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
Ver. 2, October 18, 2013 Voltage Source Converters (VSC) A voltage source converter (VSC) is a converter that can operate as inverter, i.e. dctoac converter, or as a rectifier (acdc converter). They are frequently used in utility systems, as bidirectio
School: University Of Toronto
Course: Introduction To Electrical Energy Systems
University of Toronto Department of Electrical and Computer Engineering Laboratory ECE 314 Experiment: # 3 Grid Connected DCAC Converters Objectives of the Experiment 1. To investigate the capabilities of a grid connected dc/ac converter 2. To explore co
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311S LAB 2: Familiarization with Equipment and Basic Cruise Control Design 1 Purpose The purpose of this experiment is to introduce you to the lab setup (the IP02 cart system by Quanser Inc.) and the associated control proble
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311 LAB 1: The Magnetic Ball Suspension System: Modelling and Simulation Using Matlab 1 Introduction and Purpose The purpose of this experiment is to familiarize you with the simulation of a magnetic ballsuspension system us
School: University Of Toronto
Course: Dynamic Systems And Control
CONTROL SYSTEMS LABORATORY ECE311S LAB 3: Control Design Using the Root Locus 1 Purpose The purpose of this laboratory is to design a cruise control system for a car using the root locus. 2 Introduction Recall the mathematical model of a car moving on a s
School: University Of Toronto
ECE540 Optimizing Compilers Winter 2014 Project Optimizations Objective In this final assignment, you will write several different optimizations that will (ideally) improve the quality of the code generated by the compiler. The evaluation of your assignme
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ECE540 Optimizing Compilers Winter 2014 Assignment 3 Dataflow and Live Variable Analysis Objective The purpose of this assignment is to build a generic dataflow problem solver (an engine) that can solve any dataflow problem when given appropriate paramete
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ECE540 Optimizing Compilers Winter 2014 Assignment 4 Available Expressions Objective The purpose of this assignment is to use your generic dataflow framework to implement available expressions analysis. Procedure For each procedure in the input source fil
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ECE540 Optimizing Compilers Winter 2014 Assignment 2 Natural Loops Objective The purpose of this assignment is to determine the loops that exist in the program. You will build on your code from the last assignment, and use the code you write for this assi
School: University Of Toronto
ECE540 Optimizing Compilers Winter 2014 Assignment 1 Control Flow Analysis Objective The purpose of this assignment is to get you familiar with the SUIF compiler system and its intermediate representation. You will do this by writing a pass in the compile
School: University Of Toronto
Course: Internetworking
4/7/2015 Labs(ECE461) LabInformation ImportantInformation WhatyouneedtodoforaLab? Beforealabsession: Readbookchapteranddorelatedreading. Answerthequestionstotheprelab. TurninprelabanswersusingtheAssignmentToolofthePortal.Prelabanswersare submittedindividu
School: University Of Toronto
Course: Internetworking
This is a sample Lab report from ECE 461 from previous years. LAB 6 Part 1 1. Do the source and destination M A C/IP addresses change when a packet traverses a bridge? Provide an explanation and include an example for the captured data. Suppose that PC2 w
School: University Of Toronto
Course: C++
: University of Toronto Lab 5: Audio Power Amplier with Feedback Preparation 1. Seriesshunt feedback. 2. f3dB = 1/2 RLCs = 50 Hz. For RL = 8 , Cs = 398 F. This is from Lab 3. 3. R1 = 7.2 k. This is also from Lab 3. 4. See Figure 1. 5. See Figure 2. 6. Se
School: University Of Toronto
Course: C++
: University of Toronto Lab 4: Operational Amplier TA Preparation 1. Ad = gm4 (ro4 ro2 ) Ac = gm4 ro4 2g r 1/gm2 1/2gm2 ro5 me4 o4 ro5 +1/gm2 CMRR = Ad /Ac = 2gm2 gm4 ro5 (ro4 ro2 ) f3dB = 1/2 (ro4 ro2 )CL 2. Ad = 65.1 = 36.3 dB Ac = 1/231.8 = 47.3 dB
School: University Of Toronto
Course: C++
: University of Toronto Lab 5: Audio Power Amplier with Feedback Introduction The linearity requirement of audio power ampliers is usually very high because our ear is very sensitive to distortion of sound. Despite the glitchles classAB operation, the p
School: University Of Toronto
Course: C++
: University of Toronto Lab 4: Operational Amplier Introduction The operational amplier (opamp) is a device that performs amplication of its two input voltages. Opamps are often used as means of detecting and amplifying error in feedback systems. Noninver
School: University Of Toronto
Course: C++
: Lab 0: University of Toronto Introduction to Lab Equipment and Components Introduction This lab introduces you to the lab equipment and components you will use for labs through some simple exercises. Proper use of the equipment and components is essenti
School: University Of Toronto
Course: C++
: University of Toronto Lab 3: PushPull Power Amplier Introduction The commonsource ampliers in Lab 1 and Lab 2 provide a large voltage gain, but they cannot drive a lowimpedance load such as an 8 speaker while maintaining the gain because of the high
School: University Of Toronto
Course: C++
: University of Toronto Lab 2: Current Mirrors Introduction A current mirror is used to copy or multiply the input current. It is often used as a bias circuit that provides a known current to an analog circuit like a commonsource amplier with an active l
School: University Of Toronto
Course: C++
: University of Toronto Lab 1: Commonsource Ampliers Introduction The commonsource amplier is one of the basic ampliers in CMOS analog circuits. Because of its very high input impedance, relatively high gain, low noise, speed, and simplicity, commonsour
School: University Of Toronto
Course: Electrical Fundamentals
University of Toronto The Edward S. Rogers Sr. Department of Electrical and Computer Engineering ECE110S ELECTRICAL FUNDAMENTALS  SUPPLEMENT Laboratory Instructions Page i. ii. iii. iv. v. vi. Laboratory Guidelines Experiment 1 Equipment Exploration Expe
School: University Of Toronto
Course: Electrical Fundamentals
ECE110S Tutorial / Test Schedule  2015 WEEK DATE Mon 13 Mon 35 GB405 TUT 01 1 2 2 2 2 3 3 3 3 4 4 4 4 5 5 5 5 5 6 6 6 6 Jan.12 Jan.14 Jan.15 Jan.16 Jan.19 Jan.21 Jan.22 Jan.23 Jan.26 Jan.28 Jan.29 Jan.30 Feb.2 Feb.4 Feb.5 Feb.5 Feb.6 Feb.9 Feb.11 Feb.1
School: University Of Toronto
Course: Digital Signal Processing
Practical Signals Theory Lab #6 with MATLAB Applications RICHARD J. TERVO Sampling and Reconstruction A discrete signal s(nT) can be created from a continuous signal s(t) by multiplying s(t) by an impulse train with period T as: s(nT ) = + (t nT ) s(t)
School: University Of Toronto
Course: Digital Signal Processing
Practical Signals Theory Lab #7 with MATLAB Applications Laplace Transform RICHARD J. TERVO The Laplace transform X(s) of a time domain signal x(t) is generally defined as: X(s) = + x(t) e st dt The onesided form of the Laplace transform is commonly see
School: University Of Toronto
Course: Digital Signal Processing
Practical Signals Theory Lab #8 with MATLAB Applications RICHARD J. TERVO The zTransform The ztransform X(z) of a sampled time domain signal x(nT) or x[n] is generally defined as: X(z) = + x[n] z n n= where z is a complex term. The onesided form of th
School: University Of Toronto
Course: Digital Signal Processing
Practical Signals Theory Lab #4 with MATLAB Applications RICHARD J. TERVO The Fourier Transform The Fourier transform S(f) of a time domain signal s(t) is given by: + S( f ) = s(t) e j 2 ft dt and the inverse Fourier transform is: s(t) = + S( f ) e+ j 2
School: University Of Toronto
Course: Digital Signal Processing
Practical Signals Theory with MATLAB Applications RICHARD J. TERVO Lab #5 System Modelling When a time domain signal s(t) enters a system with response function h(t), the output g(t) is described by the convolution: + g(t) = s(t) h(t) = s(x) h(t x) dx The
School: University Of Toronto
Course: Fundamentals Of Electrical Circuits
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 110H1 S Electrical Fundamentals 2013 COURSE INFORMATION 1. COURSE DESCRIPTION A study of the physics of electricity and magnetism: Coulombs law, Gauss laws, BiotSav
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Course: Introduction To Electrical Energy Systems
20130912 Tutorial September1213 3:12 PM TUT01 Page 1 TUT01 Page 2 TUT01 Page 3
School: University Of Toronto
Course: Parallel Programming
CLASS GOALS AND ADVICE ON RESEARCH PROJECTS AND PAPER PRESENTATIONS I have designed this class in such a way to give you some fundamental lessons in how to do research in grad school. Both lectures and paper selection introduce some concepts without exha
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Course: C++
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Course: C++
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School: University Of Toronto
Course: C++
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School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F  SEMICONDUCTOR PHYSICS Tutorial Problems #1 P.R. Herman taken up Jan. 6, 2015. Announce: Make up Lecture Jan. 6, 10:1011am to precede the tutorial in BA 3116. Attempt the f
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #13 P.R. Herman taken up Dec. 01, 2000. Work out the following problems in preparation for the next tutorial. 1. Sketch separate Ek d
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #14 P.R. Herman The following questions and attached solutions are provided to help you prepare for your final exam. Several questions
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Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #12 P.R. Herman taken up Nov. 24, 2000. Work out the following problems in preparation for the next tutorial. Quiz 5 will take place a
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #11 P.R. Herman taken up Nov. 17, 2000. Work out the following problems in preparation for the next tutorial. Quiz 5 will take place N
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #10 P.R. Herman taken up Nov. 10, 2000. Work out the following problems in preparation for the next tutorial. 1. Why is there difficul
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Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #4 P.R. Herman taken up Fri. Sept. 29, 1999. Complete unfinished parts of tutorial 3 and attempt the problems that follow. Note that T
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #7 P.R. Herman taken up Oct. 20, 2000. Work out the following problems in preparation for the next tutorial and Quiz 3. Quiz 3 will be
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #8 P.R. Herman taken up Oct. 27, 2000. Work out the following problems in preparation for the next tutorial and Quiz 4. 1. An electron
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #6 P.R. Herman taken up Oct. 13, 2000. Work out the following problems in preparation for the next tutorial. 1. A particle is incident
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS Tutorial Problems #5 P.R. Herman taken up Fri. Oct. 6, 2000. Attempt the following problems before the next tutorial. Solutions to Test 2 will also be p
School: University Of Toronto
Course: C++
UNIVERSITY OF TORONTO Department of Electrical and Computer Engineering ECE 330F SEMICONDUCTOR PHYSICS P.R. Herman Tutorial Problems # 3 taken up Sept. 22, 2000. Attempt the following problems before the next tutorial. You are encouraged to bring your own
School: University Of Toronto
Course: C++
ECE 788  Optimization for wireless networks Final Please provide clear and complete answers. PART I: Questions Q.1. Discuss an iterative algorithm that converges to the solution of the problem minimize fo (x) x s.t. Ax = b , where fo (x) is a strictly co
School: University Of Toronto
Course: C++
ECE 788  Optimization for wireless networks Midterm, Fall 2011 Please provide clear and complete answers. PART I: Questions Q.1. (1 point) Calculate the distance between two parallel hyperplanes cfw_x Rn aT x = b1 and cfw_x Rn aT x = b2 as a function
School: University Of Toronto
Course: Electrical Fundamentals
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 110H1 S Electrical Fundamentals 2015 COURSE INFORMATION 1. COURSE DESCRIPTION A study of the physics of electricity and magnetism: Coulombs law, Gauss laws, BiotSav
School: University Of Toronto
Course: Computer Security
ECE 568 Computer Security Winter 2012 Course Syllabus General Information Welcome to ECE 568! This course covers principles of computer systems security. It starts by examining how to identfy security vulnerabilites, how they can be exploited, and then di
School: University Of Toronto
Course: Internetworking
University of Toronto Edward S. Rogers Sr. Dept. of Electrical & Computer Engineering ECE 461 Internetworking Fall 2015 Course Management Form Instructor: Dr. Hamid Timorabadi, P. Eng. Email: h.timorabadi@utoronto.ca Criteria for Emails: Subject area of t
School: University Of Toronto
School: University Of Toronto
Course: Computer Organization
ECE243H1S Computer Organization Winter 2015 Overview How computers represent and manipulate information. What is assembly language and how it relates to highlevel programming languages. How to design a computer that works correctly How to interface exter
School: University Of Toronto
Course: Circuit Analysis
UNIVERSITY OF TORONTO  FACULTY OF APPLIED SCIENCE AND ENGINEERING Department of Electrical and Computer Engineering ECE212H1F CIRCUIT ANALYSIS  COURSE OUTLINE (FALL 2014) COURSE OBJECTIVES ECE212 covers fundamental concepts and techniques for the analys
School: University Of Toronto
Course: Electricity And Magnetism
UNIVERSITY OF TORONTO  FACULTY OF APPLIED SCIENCE AND ENGINEERING Edward S. Rogers Sr. Department of Electrical and Computer Engineering ECE221H1S: ELECTRIC AND MAGNETIC FIELDS  COURSE SYLLABUS FOR WINTER 2015 COURSE OBJECTIVES This course builds on the
School: University Of Toronto
Course: SIGNALS AND SYSTEMS
University of Toronto Department of Electrical and Computer Engineering ECE216 SIGNALS AND SYSTEMS Information Sheet Spring 2015 Lecturers Professor Raymond Kwong (course coordinator) Oce GB343; email kwong@control.utoronto.ca Section LEC0102: Mon 1112n
School: University Of Toronto
Course: Introductory Electronics
4/8/2015 ECE231SIntroductoryElectronics(2006) ECE231SIntroductoryElectronics(2006) 1.Instructors LEC02,03:KhomanPhang(CourseCoordinator),Office:BahenBA5136,Email: kphang@eecg.toronto.edu LEC01:BelindaWang,Office:GalbraithGB345,Email:belinda.wang@utoronto.
School: University Of Toronto
Course: Analog Integrated Circuits
ECE 530 University of Toronto Fall 2014 Instructor Office Hours: Prerequististies: TA TA Office Hours Prof. Hao Zhu, 4058 ECEB, 2445958, Tuesday 24PM (tentative) ECE 476 and ECE 464 or consent of instructor Hao Jan (Max) Liu, 4068/4E20 ECEB, Thursday 9
School: University Of Toronto
Course: Advanced Power Electronics
ECE533HPowerElectronics ProfessorO.Trescases UniversityofToronto Thecoursecoversthedesignandanalysisofswitchedmodepowersupplies(SMPS)usedin virtuallyallelectronicequipment,includinglowpowermobileapplications,computers,medical devices,consumerelectronics,m
School: University Of Toronto
ECE454H1F Computer Systems Programming Overview This course goes beyond prior programming courses to teach students to better understand computer hardware, operating systems, and compilers from a programmer's perspective. In particular this course leverag
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Course: Parallel Programming
4/7/2015 ECE1747HParallelProgramming ECE1747HParallelProgramming Fall2014 Instructor: CristianaAmza BA4142 (416)9460299 amza@eecg.toronto.edu TA: SahelSharify BA4187 sahel.sharifymoghaddam@mail.utoronto.ca Location: BA4164 ClassTime: Mondays3:005:00PM Pro
School: University Of Toronto
Course: Electric Drives
ECE 463 Syllabus Course: Credit Hours: Course Title: Course Description: ECE 463 3 Advanced Microprocessor System Design Advanced topics in microprocessor systems design. Measuring performance. Instructionset architectures. Memory hierarchies, including
School: University Of Toronto
Course: Internetworking
4/7/2015 ECE461(Fall2014) ECE461Internetworking Fall2014 MainPage Syllabus Instructor JorgLiebeherr,BA4126, (416)9463403, jorg@comm.utoronto.ca Officehours: Wednesday,14:0015:00, orbyappointment(via email). Prerequisites ECE361(mustbecompleted beforetakin
School: University Of Toronto
Course: Passive Photonic Devices
ECE527F: Photonic Devices (2013) Course website: https:/portal.utoronto.ca/ Overview This course provides the fundamentals to understand, analyze, and design microscale photonic devices. We will begin with the wave description of light and study optical
School: University Of Toronto
Course: Analog Integrated Circuits
ECE530H  Analog Integrated Circuits Introduc8on Generally, this course deals with analog integrated circuit analysis and design including integrated circuit devices and modeling, single stage amplier design, feedback, oper
School: University Of Toronto
Course: Algorithms And Data Structures
UofTorontoECE 345Fall, 2014 1 Course Information Course Information ECE 345 Algorithms and Data Structures University of Toronto Dept. of Electrical and Computer Engineering Fall Semester, 2014 Welcome to ECE345! Algorithms today play an important role i
School: University Of Toronto
Course: Intro To Electronics
ECE335F Electronic Devices Fall 2013 ECE335F Introduction to Electronic Devices LEC 01 ECE335H1F Prof. Wai Tung Ng PT484A, ngwt@vrg.utoronto.ca LEC 01 Tue 10:00 11:00 GB303 ECE335H1F Wed 10:00 11:00 GB303 ECE335H1F Thu 10:00 11:00 GB303 ECE335H1F TUT 01 W
School: University Of Toronto
Course: Introductory Electronics
Lecture Week ECE231&Course&Syllabus&and&Detailed&Course&Schedule& Jan& 1 8~11 1 2 3 Jan& 4 14~18 5 6 Jan& 7 21~25 8 9 Jan28&O& 10 Feb1 Section Description Course&outline Learning2objectives:2From2this2section,2students2will2be2able2to2 Reading Homework Pr
School: University Of Toronto
Course: Introductory Electronics
# UNIVERSITY OF TORONTO FACULTY OF APPLIED SCIENCE AND ENGINEERING Department of Electrical and Computer Engineering ECE 231S Introductory Electronics Course Outline This course is an introduction to electronic circuits using operational amplifiers, diode
School: University Of Toronto
Course: Introductory Electronics
2013/ ECE216H1S SIGNALS AND SYSTEMS Course Description: Introduction to the general mathematical modeling of signals and systems, useful in many areas of engineering including communications, control, biomedical processing and power engineering, to name a
School: University Of Toronto
Course: Introductory Electronics
Lecture Week ECE231&Course&Syllabus&and&Detailed&Course&Schedule& Jan& 1 8~11 1 2 3 Jan& 4 14~18 5 6 Jan& 7 21~25 8 9 Jan28&O& 10 Feb1 Section Description Course&outline Learning2objectives:2From2this2section,2students2will2be2able2to2 Reading Homework Pr
School: University Of Toronto
Course: Digital Communication
SYLLABUS  PROJECT MANAGEMENT aps1001hf September to December 2011 Instructors: Keith Farndale (Farndale@procept.com) Class size: Cap of 50 for each of the two sections Prerequisite: None, but those with some engineering work experience will get it much b