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School: University Of Michigan
Course: Digital Integrated Technology
) /-ik/f3 4- e Fa piu + e/A, sI p & II14 4/oi11 = I /-/Dq.2JAi 492q + i,t 1 A1 ,ww I (i&17q s)?Ivf I Q Z.4 ,c, C4c 3E) ,/ to -c )Y(.)L1)acO/ itl :d J(I UVfJ1141 1 . .4 I). ,OL4nDAC ,p,q do . 1 , af2L1P( [7 ,tQO U! :LA ft?1 c91 t) i 1 h e*Z 1 L, fa4L1qUI4
School: University Of Michigan
Course: EECS216
EECS 216 - Winter 2012 Pre Lab I Solutions (K. Winick, last revision Feb. 6, 2012) 1. (Problem 4.1) (a) ystep (t ) = (1 et /RC )u(t ) dystep (t ) dt RC 1 t /RC RC e = dystep (t ) dt 0 t >0 t <0 + ystep (t ) = 1 t >0 0 t <0 = u(t ) Also note that limt 0 y
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
EECS 370 Midterm Exam 2 Fall 2012 Name: _ unique name: _ Sign the honor code: I have neither given nor received aid on this exam nor observed anyone else doing so. _ Scores: Problem # Part A Part B 1 2 3 4 5 Part C Total Points /30 /12 /12 /6 /10 /10 /20
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
IntroductiontoComputerOrganizationWinter2015 Homework 3 Answer Key Assigned:February5,2015 Deadline:February17,2015 Name:_ ANSWERKEY _Uniqname:_ 1.SubmitasinglepdfofyourtypedorhandwrittenhomeworkinCTools.Yourfilemustbe nameduniqname_HW3.pdf. 2.Youranswer
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Midterm 2- Review EECS 370 Introduction to Computer Organization Fall 2013 Profs. Valeria Bertacco, Robert Dick & Satish Narayanasamy EECS Department University of Michigan in Ann Arbor, USA Bertacco-Dick-Narayanasamy, 2013 The material in this presentat
School: University Of Michigan
Course: Digital Integrated Technology
H N % -L qj _\ Q q - - 4-ED c ) c) - L \ Hj c N ( s .& I o >< <.-.-. - . . , - I c It N l cA -1 i 1 Q c 0 aI <1 1- + 1 ; - r 0 a LA I a o. _ -p -t 1 k >( 0 )S + I N - P. ft I - r4\ (r\ p co> IoI. [ *7 ts 7oxc ) O/Q 4 / s+ SvI/yjf tJ5ij fi /),o6/e4- 2 1OS
School: University Of Michigan
Course: Programming And Introductory Data Structures
EECS 280 Programming and Introductory Data Structures Midterm Exam Review Super-Fast-MultipleLectures-in-One 1 Exam Details Exam locations See the CTools announcement No notes no book no electronics only a writing tool 2 Exam Format Expected to be 5 Quest
School: University Of Michigan
Course: Machine Learn
Separating Hyperplanes Thursday, September 11, 2014 12:07 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8 Lecture Notes Page 9 Lectu
School: University Of Michigan
Course: Machine Learn
Logistic Regression Thursday, September 4, 2014 6:55 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8
School: University Of Michigan
Course: Machine Learn
Unconstrained Optimization Tuesday, September 8, 2015 8:39 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8 Lecture Notes Page 9
School: University Of Michigan
Course: Machine Learn
Nave Bayes Tuesday, September 2, 2014 4:38 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4
School: University Of Michigan
Course: Machine Learn
Bayes Classifiers Thursday, September 10, 2015 11:59 AM Lecture Notes Page 1 Lecture Notes Page 2 3 2 1 0 -1 -2 -3 -3 Lecture Notes Page 3 -2 -1 0 1 2 3 4 5 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7
School: University Of Michigan
EECS 270 Verilog Reference: Sequential Logic 1 Introduction In the first few EECS 270 labs, your designs were based solely on combinational logic, which is logic that depends only on its current inputs. However, there are many cases in which we would like
School: University Of Michigan
Course: Math Meth Sig Proc
Cleves Corner Professor SVD By Cleve Moler Stanford computer science professor Gene Golub has done more than anyone to make the singular value decomposition one of the most powerful and widely used tools in modern matrix computation. from its SVD. Take 1
School: University Of Michigan
Course: Math Meth Sig Proc
The PageRank Citation Ranking: Bringing Order to the Web January 29, 1998 Abstract The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said o
School: University Of Michigan
Course: Math Meth Sig Proc
Chapter 7 Google PageRank The worlds largest matrix computation. (This chapter is out of date and needs a major overhaul.) One of the reasons why GoogleTM is such an eective search engine is the PageRankTM algorithm developed by Googles founders, Larry Pa
School: University Of Michigan
Course: Math Meth Sig Proc
(12) United States Patent Page US006285999B1 (10) Patent N0.: US 6,285,999 B1 (45) Date of Patent: Sep. 4, 2001 (54) METHOD FOR NODE RANKING IN A LINKED DATABASE (75) Inventor: Lawrence Page, Stanford, CA (US) (73) Assignee: The Board of Trustees of the
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Foundations of processor design: finite state machines EECS 370 Introduction to Computer Organization Winter 2015 Robert Dick, Andrew Lukefahr, and Satish Narayanasamy EECS Department University of Michigan in Ann Arbor, USA Dick-Lukefahr-Narayanasamy, 2
School: University Of Michigan
Course: WEB DATA STRUCTURE
Web Essentials Lecture 1 Web Basics A brief history Transfer Content EECS 485 January 4, 2012 (some slides due to Dan Weld) Dewey Decimal system, library science 1960: Ted Nelson Xanadu Hypertext vision of WWW Focus on copyright, consistent (bidirectional
School: University Of Michigan
Course: WEB DATA STRUCTURE
Organization Lecture 15 Web Search Grab Bag! Today s class contains many search topics we have not yet explored 1 2 3 4 Crawler design Deduplication Inverted-index construction Distributed search architecture It s a bit of a grab-bag, but these are still-
School: University Of Michigan
Course: Circuits
RLC Circuits EECS 215: Intro. Second Order Circuits A second order circuit is characterized by a second order differential equation Resistors and two energy storage elements Determine voltage/current as a function of time Initial/final values of voltage/c
School: University Of Michigan
Cortex -M3 Revision r2p0 Technical Reference Manual Copyright 2005-2008, 2010 ARM Limited. All rights reserved. ARM DDI 0337H (ID032710) Cortex-M3 Technical Reference Manual Copyright 2005-2008, 2010 ARM Limited. All rights reserved. Release Information T
School: University Of Michigan
Course: Math Meth Sig Proc
Friday, October 24, 2014 12:30 PM Discussion Week 8 Page 1 Friday, October 24, 2014 12:38 PM Discussion Week 8 Page 2 Friday, October 24, 2014 12:46 PM Discussion Week 8 Page 3 Friday, October 24, 2014 12:50 PM Discussion Week 8 Page 4 Friday, October 24,
School: University Of Michigan
Course: Math Meth Sig Proc
Thursday, October 30, 2014 9:32 PM Discussion Week 9 Page 1 Thursday, October 30, 2014 10:14 PM Discussion Week 9 Page 2 Thursday, October 30, 2014 10:19 PM Discussion Week 9 Page 3 Thursday, October 30, 2014 10:25 PM Discussion Week 9 Page 4 Thursday, Oc
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
EECS 370 Midterm Exam 2 Fall 2012 Name: _ unique name: _ Sign the honor code: I have neither given nor received aid on this exam nor observed anyone else doing so. _ Scores: Problem # Part A Part B 1 2 3 4 5 Part C Total Points /30 /12 /12 /6 /10 /10 /20
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Midterm 2- Review EECS 370 Introduction to Computer Organization Fall 2013 Profs. Valeria Bertacco, Robert Dick & Satish Narayanasamy EECS Department University of Michigan in Ann Arbor, USA Bertacco-Dick-Narayanasamy, 2013 The material in this presentat
School: University Of Michigan
Course: QWE
University of Michigan WINTER 2011 EECS 401: Solution to Mid Term Examination I 1. TRUE. Consider the following argument: P (A B) C) = P (A C) (B C) (1) = P (A C) + P (B C) P (A C) (B C) (2) = P (A C) + P (B C) P (A B C), (3) where the rst equation follo
School: University Of Michigan
Course: Linear Systems Theory
PLACE NAME OR INITIALS HERE: 1 Exam Number: EECS 560 Midterm Exam Wednesday, Nov. 3, 2010, 4:40-6:30 PM By LAST Name A to R in 1013 DOW S to Z in 1005 DOW HONOR PLEDGE: Copy (NOW) and SIGN (after the exam is completed): I have neither given nor received a
School: University Of Michigan
Course: Circuits
Sample solutions EECS 314 Winter 2008 Final Exam Instructor: Alexander Ganago ganago@umich.edu Wednesday April 23, 2008, 10:30 AM 12:30 PM Exam rooms, according to the [first letter of] students' last names: A.K L.P R.Z 220 Chrysler Auditorium (our lectur
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
uniqname: _ EECS 280 Final Exam Fall 2012 This is a closed-book exam. There are 5 problems on 17 pages. Read the entire exam through before you begin working. Work on those problems you find easiest first. Read each question carefully, and note all that i
School: University Of Michigan
Course: Digital Integrated Technology
) /-ik/f3 4- e Fa piu + e/A, sI p & II14 4/oi11 = I /-/Dq.2JAi 492q + i,t 1 A1 ,ww I (i&17q s)?Ivf I Q Z.4 ,c, C4c 3E) ,/ to -c )Y(.)L1)acO/ itl :d J(I UVfJ1141 1 . .4 I). ,OL4nDAC ,p,q do . 1 , af2L1P( [7 ,tQO U! :LA ft?1 c91 t) i 1 h e*Z 1 L, fa4L1qUI4
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
IntroductiontoComputerOrganizationWinter2015 Homework 3 Answer Key Assigned:February5,2015 Deadline:February17,2015 Name:_ ANSWERKEY _Uniqname:_ 1.SubmitasinglepdfofyourtypedorhandwrittenhomeworkinCTools.Yourfilemustbe nameduniqname_HW3.pdf. 2.Youranswer
School: University Of Michigan
Course: Digital Integrated Technology
H N % -L qj _\ Q q - - 4-ED c ) c) - L \ Hj c N ( s .& I o >< <.-.-. - . . , - I c It N l cA -1 i 1 Q c 0 aI <1 1- + 1 ; - r 0 a LA I a o. _ -p -t 1 k >( 0 )S + I N - P. ft I - r4\ (r\ p co> IoI. [ *7 ts 7oxc ) O/Q 4 / s+ SvI/yjf tJ5ij fi /),o6/e4- 2 1OS
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: DISCRETE MATHEMATICS Homework 7 Solutions 1. (4 points) There are 15 gold coins, all of which are identical except for one counterfeit coin, which is either slightly heavier or slightly lighter than all the rest. You have at your disposal a bala
School: University Of Michigan
Course: Linear Systems Theory
Linear System Theory ME 564, EE 560, Aero 550 Professor Gillespie, University of Michigan Fall 2014 Homework #4 Assigned: Oct 1, 2014 Due: Monday, Oct 6, 2014 1. Prove or disprove the following: (to disprove you must provide a counterexample). Let A : V !
School: University Of Michigan
Course: Math Meth Sig Proc
EECS551: HW2 SOLUTIONS Problem 1 T Let A = QQ be the eigendecomposition of A. Then we may write B = A 10I = QQT 10QQT (I = QQT since Q is orthogonal) = Q( 10I)QT (0.1) Notice that 10I is a diagonal matrix, and since Q is orthogonal, the right hand side of
School: University Of Michigan
Course: Dsp Design Lab
EECS452 Lab4 Pre-lab Mei Yang Q1. Answer: From the figure that has been generated, we can clearly see that the max gain is 60dB. Q2. Answer: From the matlab design, we can easily get that: a. 210 b. 35 Q3. Answer: For the passband, the difference is very
School: University Of Michigan
Course: Embedded Control Systems
EECS 461 Spring 2014 Lab 1: Familiarization and Digital I/O 1 Overview The purpose of this lab is to familiarize you with the hardware and software used in EECS 461. For this class we will be using a 32-bit oating-point Freescale MPC5553 microcontroller r
School: University Of Michigan
Course: Dsp Design Lab
Pre-lab questions: Q1. Consider the logic statement (A*B)+(C*A) a. Write the truth table for that logic statement b. Draw the gates that implement that logic statement (without simplification). A, B 00 01 10 11 C=0 0 0 0 1 C=1 1 1 0 1 Q2. Consider a 2-to-
School: University Of Michigan
Course: Circuits
EECS 215 Lab Supplementary Materials / Op Amp Lab Cover page Op Amp Lab Report Students Name _ Date of Lab Work _ I have neither given nor received aid on this report, nor have I concealed any violations of the Honor Code. _ (students signature) Lab Secti
School: University Of Michigan
EECS 270 Verilog Reference: Combinational Logic 1 Introduction The goal of this document is to teach you about Verilog and show you the aspects of this language you will need in the 270 lab. Verilog is a hardware description language rather than drawing a
School: University Of Michigan
Course: Circuits
File Edit View ijm Opuate Touls Winduw Help n» C; II Horiz' Scale div Andrew Turek acturek B th Samuel Rohrer rohrer 0 2v 2v 500us 215 Waveforms 12"“ PM migrmls Kaushik Kannan 500us DC DC as 0V 0‘! 1 1 Andrew Turek Samuel Rohrer ' 12‘" P
School: University Of Michigan
2015 CSE SURE/SROP Projects 1/9/15 12:37 PM Search Academics+Admissions Academics +Admissions Course Information Research People Industry News+Awards Events About Resources Donate 2015 SURE/SROP Research Projects Computer Science and Engineering (CSE) Dir
School: University Of Michigan
Course: EECS216
EECS 216 SOLUTIONS TO PROBLEM SET #3 1. Compute the following convolutions without computing any integrals: (a) (t 2) [u(t) 3u(t 1) + 2u(t 2)] (b) [(t) + 2(t 1) + 3(t 2)] [4(t) + 5(t 1)] (c) u(t) [u(t) u(t 2) 2(t 2)] Solution: Using the convolution proper
School: University Of Michigan
Course: EECS216
&2192/87,21 W H(W ) LQ ( ) K(W ) G , DQG W IRU W V. LQ ( ) = , IRU W < . H(W ) G = H + W , RXW (W) = W K(W ) = H(W ) , W V RXW (W) = 7KH ORZHVW YDOXH WKDW WKH LQWHJUDWLRQ YDULDEOH FDQ DVVXPH LV ]HUR 7KHUHIRUH ZKHQ W < W < DQG K(W ) = &RQVHTXHQWO\ W <
School: University Of Michigan
Course: EECS216
Eulers theorem: ej = cos + j sin . x = j in innite series ex =1+x+x2 /2!+. . . M ej = M cos + jM sin for any M . cos = 1 (ej + ej ) denes cosine. 2 1 sin = 2j (ej ej ). sin(x)=cos(x/2). ej =1. j=ej/2 and j=ej3/2 . = y arctan( x ) + 0 y arctan( x ) M = x
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Study sheet for Final CS1100 by Matt in Wed night class Licensed under the GNU Free Documentation License (GFDL) http:/www.gnu.org/copyleft/fdl.html Sequences have patterns; possible patterns are: 1. Term related to other terms 2. Term described to positi
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS203finalexamstudyguide winter 2012, University of Michigan byEvanHahn+ScottGodbold+BradHekman+AlexIhlenburg+RyanYezman+Matt Schulte+LuluTang+AndyModell+KevinByung+DavidBrownman+OttoSipe+Yaoyun Shi+ThomasLovett+SeanHacker+MikeCuskley&DanielNees (addyou
School: University Of Michigan
Course: Control System Analysis And Design
Fall 2015 EECS 460: CONTROL SYSTEMS ANALYSIS AND DESIGN Instructor: Semyon M. Meerkov 4230C EECS bldg., 734-763-6349, smm@umich.edu Lectures: M and W, 1:30pm 3:00pm, Room 1500 EECS Office Hours: M and W, 12:30pm 1:30pm (or by appointment), Room 4230C EECS
School: University Of Michigan
Course: Intr Art Intell
syllabus-F15.xlsx 9/4/15 EECS 492: Artificial Intelligence topic read before class 9/8 9/10 What is AI? Agents and environments chapter 1 (29p) chapter 2 (22p) 9/15 9/17 State spaces and search Beyond classical search chapter 3 (45p) chapter 4 (34p) 9/22
School: University Of Michigan
Course: Intr Art Intell
EECS 492: Introduction to Artificial Intelligence Fundamental concepts of AI, organized around the task of building computational agents. Core topics include search, logic, representation and reasoning, automated planning, representation and decision maki
School: University Of Michigan
Course: Comp. Vision
EECS 598-01 Special Topic Foundations of Computer Vision Fall 2015 MW 12:00-1:30PM in 1005 DOW Course Overview: Computer Vision seeks to extract useful information from images, video and other visual content. This course will introduce the breadth of mode
School: University Of Michigan
Course: Comp. Vision
EECS 598-01 Foundations of Computer Vision Electrical Engineering and Computer Science University of Michigan Syllabus for Fall 2015 Last updated: 8 September 2015 Instructor: Jason Corso (jjcorso) Course Webpage: http:/web.eecs.umich.edu/jjcorso/t/598F15
School: University Of Michigan
Course: Comp. Vision
Week Monday Wednesday 9/7 No Class: Before Term 1: Introduction 9/14 2: Images as Functions 3: Image Operations 9/21 4: Geometric Invariance 5: Case Study on Geometric Invariance by Local Features: Rotation Invariance 9/28 6: Case Study on Geometric Invar
School: University Of Michigan
Course: Digital Integrated Technology
) /-ik/f3 4- e Fa piu + e/A, sI p & II14 4/oi11 = I /-/Dq.2JAi 492q + i,t 1 A1 ,ww I (i&17q s)?Ivf I Q Z.4 ,c, C4c 3E) ,/ to -c )Y(.)L1)acO/ itl :d J(I UVfJ1141 1 . .4 I). ,OL4nDAC ,p,q do . 1 , af2L1P( [7 ,tQO U! :LA ft?1 c91 t) i 1 h e*Z 1 L, fa4L1qUI4
School: University Of Michigan
Course: EECS216
EECS 216 - Winter 2012 Pre Lab I Solutions (K. Winick, last revision Feb. 6, 2012) 1. (Problem 4.1) (a) ystep (t ) = (1 et /RC )u(t ) dystep (t ) dt RC 1 t /RC RC e = dystep (t ) dt 0 t >0 t <0 + ystep (t ) = 1 t >0 0 t <0 = u(t ) Also note that limt 0 y
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
EECS 370 Midterm Exam 2 Fall 2012 Name: _ unique name: _ Sign the honor code: I have neither given nor received aid on this exam nor observed anyone else doing so. _ Scores: Problem # Part A Part B 1 2 3 4 5 Part C Total Points /30 /12 /12 /6 /10 /10 /20
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
IntroductiontoComputerOrganizationWinter2015 Homework 3 Answer Key Assigned:February5,2015 Deadline:February17,2015 Name:_ ANSWERKEY _Uniqname:_ 1.SubmitasinglepdfofyourtypedorhandwrittenhomeworkinCTools.Yourfilemustbe nameduniqname_HW3.pdf. 2.Youranswer
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Midterm 2- Review EECS 370 Introduction to Computer Organization Fall 2013 Profs. Valeria Bertacco, Robert Dick & Satish Narayanasamy EECS Department University of Michigan in Ann Arbor, USA Bertacco-Dick-Narayanasamy, 2013 The material in this presentat
School: University Of Michigan
Course: Digital Integrated Technology
H N % -L qj _\ Q q - - 4-ED c ) c) - L \ Hj c N ( s .& I o >< <.-.-. - . . , - I c It N l cA -1 i 1 Q c 0 aI <1 1- + 1 ; - r 0 a LA I a o. _ -p -t 1 k >( 0 )S + I N - P. ft I - r4\ (r\ p co> IoI. [ *7 ts 7oxc ) O/Q 4 / s+ SvI/yjf tJ5ij fi /),o6/e4- 2 1OS
School: University Of Michigan
Course: Dsp Design Lab
EECS452 Lab4 Pre-lab Mei Yang Q1. Answer: From the figure that has been generated, we can clearly see that the max gain is 60dB. Q2. Answer: From the matlab design, we can easily get that: a. 210 b. 35 Q3. Answer: For the passband, the difference is very
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: DISCRETE MATHEMATICS Homework 7 Solutions 1. (4 points) There are 15 gold coins, all of which are identical except for one counterfeit coin, which is either slightly heavier or slightly lighter than all the rest. You have at your disposal a bala
School: University Of Michigan
Course: Linear Systems Theory
Linear System Theory ME 564, EE 560, Aero 550 Professor Gillespie, University of Michigan Fall 2014 Homework #4 Assigned: Oct 1, 2014 Due: Monday, Oct 6, 2014 1. Prove or disprove the following: (to disprove you must provide a counterexample). Let A : V !
School: University Of Michigan
Course: Math Meth Sig Proc
EECS551: HW2 SOLUTIONS Problem 1 T Let A = QQ be the eigendecomposition of A. Then we may write B = A 10I = QQT 10QQT (I = QQT since Q is orthogonal) = Q( 10I)QT (0.1) Notice that 10I is a diagonal matrix, and since Q is orthogonal, the right hand side of
School: University Of Michigan
Course: Control System Analysis And Design
8 Solutions to Lab Assignment 8 (a) From Lab Assignment 6, the linearized plant is P (s) = s3 + 56.57 . 200s 200 (8.1) s2 In order to satisfy ess wrt step = 0, we need to increase the system type of P (s) by 1. Hence, the controller must have a PI part,
School: University Of Michigan
Course: EECS216
EECS 216 Winter 2012 Lab 4: Feedback Control Part I: Intro & Pre-lab Assignment K. A. Winick (Modied 30 March 2012) 1 Introduction In this laboratory project we will develop the idea of feedback control, the process of adjusting the input to a system as a
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 551/453 - HOMEWORK 1 Reading pertaining to the problem set: Chapter 1 of Laub Reading for next week: Chapter 2 Section 9.1 of Laub Problems marked with an asterisk (*) are for EECS 453 *Problem 1. Express the n m matrix A whose j th row equals j as a
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW1 SOLUTIONS Problem 1 (*) m Let e R be a vector with ei = 1 for i = 1, . . . , m. Let x Rn be a vector with xj = j for j = 1, . . . , n. Then the desired n m matrix whose j-th row equals j is given by the outer-product xeT . In MATLAB we w
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW 3 Reading for next week: Chapter 2 and Chapter 3 of Laub EECS 551 students solve all problems. EECS 453 students only solve problems with a *. *Problem 1. This what is known about the dietary habits of the mythical Michigan Wolverine who
School: University Of Michigan
Course: Introduction To Semiconductor Device Theory
111Equation Chapter 1 Section 1EECS 320 : Introduction To Semiconductor Devices Problem Set #7 Issued: Thursday, November 4, 2010 Due: Thursday, November 11, 2010 in class 1. (5 pts) Problem 14.1 (d) in Pierret 2. (20 pts) Problem 14.2 for combinations C
School: University Of Michigan
Course: Database Mgt Syst
EECS 484 Homework #5 Question 1 Consider the following relational schema and SQL query: Students(sid, sname, gpa) Takes(sid, cid) Class(cid, cname, ctype) SELECT S.sname, C.cname FROM Students S, Takes T, Class C WHERE S.sid = T.sid AND T.cid = C.cid AND
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW 8 Reading: Chapter 6 and Chapter 8 of Laub. EECS 453 students only solve problems marked with a * Problem 1. Find the (orthogonal) projection of the vector [2 4]T onto the subspace of R3 spanned by the plane 3 3x y + 2z = 0. *Problem 2. C
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: DISCRETE MATHEMATICS Homework 2 Solutions 1. (10 points) Chapter 1.4, Problem 10 Solution : (a) xF (x, F red) (b) yF (Evelyn, y ) (c) xyF (x, y ) (d) (xyF (x, y ) xy F (x, y ) (e) xyF (y, x) (f) x(F (x, F red) F (x, Jerry ) (g) xy (F (N ancy, x)
School: University Of Michigan
Course: WEB DATA STRUCTURE
Web Essentials Lecture 1 Web Basics A brief history Transfer Content EECS 485 January 4, 2012 (some slides due to Dan Weld) Dewey Decimal system, library science 1960: Ted Nelson Xanadu Hypertext vision of WWW Focus on copyright, consistent (bidirectional
School: University Of Michigan
Course: QWE
University of Michigan WINTER 2011 EECS 401: Solution to Mid Term Examination I 1. TRUE. Consider the following argument: P (A B) C) = P (A C) (B C) (1) = P (A C) + P (B C) P (A C) (B C) (2) = P (A C) + P (B C) P (A B C), (3) where the rst equation follo
School: University Of Michigan
Course: WEB DATA STRUCTURE
Organization Lecture 15 Web Search Grab Bag! Today s class contains many search topics we have not yet explored 1 2 3 4 Crawler design Deduplication Inverted-index construction Distributed search architecture It s a bit of a grab-bag, but these are still-
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551 - HW 2 Reading pertaining to problem set: Chapter 2, Chapter 5.1, Chapter 9.1, Chapter 13.1-13.2 Reading for next week: Chapter 3, Chapter 5.2 EECS 551 students solve all problems. EECS 453 students solve ONLY the problems that are NOT marked
School: University Of Michigan
Course: Linear Systems Theory
EECS 560 - Solutions to HW #9 Prof. Grizzle 1. det(I A) = 2 ( + 1) + ( + 1) 1 0 By the Routh-Hurwitz test, there is at least one e-value in the closed right half plane for all I R (Because 1 and 0 have opposite signs). Never asymp. stable i.s.L Can the sy
School: University Of Michigan
Course: Circuits
RLC Circuits EECS 215: Intro. Second Order Circuits A second order circuit is characterized by a second order differential equation Resistors and two energy storage elements Determine voltage/current as a function of time Initial/final values of voltage/c
School: University Of Michigan
Course: Linear Systems Theory
Linear System Theory ME 564, EE 560, Aero 550 Professor Gillespie, University of Michigan Fall 2014 Homework #7 Assigned: October 27, 2014 Due: November 3, 2014 1. A simplied model of the lateral dynamics of an aircraft are shown to obey a four-dimensiona
School: University Of Michigan
Course: Linear Systems Theory
EECS 560 - Solutions to HW #6 Prof. Grizzle 1. (a) det[x1 x2 x3 ] = 4 lin. indep. (b) v1 = x1 v2 = x2 a21 v1 where a21 = v1 , x2 0.4286 v1 2 v3 = x3 a31 v1 a32 v2 a31 = 1 v1 = 2 , 3 vi = vi v1 [ ] (c) Z cfw_1 ,2 ,3 v v v v1 , x3 = 0.3571 v1 2
School: University Of Michigan
Course: Embedded Control Systems
EECS 461 Spring 2014 Lab 1: Familiarization and Digital I/O 1 Overview The purpose of this lab is to familiarize you with the hardware and software used in EECS 461. For this class we will be using a 32-bit oating-point Freescale MPC5553 microcontroller r
School: University Of Michigan
Course: Embedded Control Systems
EECS 461, Spring 2014, Problem Set 71 issued: June 12, 2014 due: June 19, 2014 To receive full credit for your answers to the following questions, please explain your reasoning carefully. 1. In the following code, the function lSecondsSinceMidnight return
School: University Of Michigan
Course: Linear Systems Theory
EECS 560 - Solutions to HW #7 Prof. Grizzle 1. A(tt0 ) x(t) = e t A(t ) x0 + e bu( )d 1 eA(t ) bu( )d x(1) = t0 0 From last week, eAt b where 1 (t) x(1) = 1 (t)b + 2 (t)Ab = e2t + 2et ; = 1 0 2 (t) = et + e2t 1 (1 )bu( )d + 1 0 2 (1 )Abu( )d = 1 (1 t), u(
School: University Of Michigan
Course: Programming And Introductory Data Structures
EECS 280 Programming and Introductory Data Structures Midterm Exam Review Super-Fast-MultipleLectures-in-One 1 Exam Details Exam locations See the CTools announcement No notes no book no electronics only a writing tool 2 Exam Format Expected to be 5 Quest
School: University Of Michigan
Course: Machine Learn
Separating Hyperplanes Thursday, September 11, 2014 12:07 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8 Lecture Notes Page 9 Lectu
School: University Of Michigan
Course: Machine Learn
Logistic Regression Thursday, September 4, 2014 6:55 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8
School: University Of Michigan
Course: Machine Learn
Unconstrained Optimization Tuesday, September 8, 2015 8:39 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8 Lecture Notes Page 9
School: University Of Michigan
Course: Machine Learn
Nave Bayes Tuesday, September 2, 2014 4:38 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4
School: University Of Michigan
Course: Machine Learn
Bayes Classifiers Thursday, September 10, 2015 11:59 AM Lecture Notes Page 1 Lecture Notes Page 2 3 2 1 0 -1 -2 -3 -3 Lecture Notes Page 3 -2 -1 0 1 2 3 4 5 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7
School: University Of Michigan
Course: Machine Learn
SML Tuesday, September 8, 2015 11:20 AM New Section 1 Page 1 New Section 1 Page 2 New Section 1 Page 3 New Section 1 Page 4 New Section 1 Page 5 New Section 1 Page 6 New Section 1 Page 7 New Section 1 Page 8
School: University Of Michigan
Course: Machine Learn
LDA Thursday, September 4, 2014 4:28 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4
School: University Of Michigan
Course: Machine Learn
EECS 545 Exam Practice Problems Most of these problems are former exam problems, and all of them should help you study for the exam. If you want to simulate an exam, try to work problems 1, 4, 7 and 8 in 3 hours. Keep in mind that you will be allowed thre
School: University Of Michigan
Course: EECS216
EX #1: EX #2: Means: since: EX #3: y(t) = x(t 2) delays x(t) by 2: y(2) = x(0), y(3) = x(1). y(t) = x(2t) shrinks x(t) by 2: y(1) = x(2), y(2) = x(4). If x(t) = cos(o t), this doubles frequency & halves period y(t) = x(2t) = cos(o (2t) = cos(2o )t). y(t)
School: University Of Michigan
Course: EECS216
et/(RC) )u(t). EX: (u(t)u(t2)*(u(t)u(t3) has duration=2+3=5. Suppose h(t) = 0 only for 0 t S (h(t) has length S). Suppose x(t) = 0 only for 0 t T (x(t) has length T). Then y(t) = 0 only for 0 t S+T (y(t) has length S+T). h(t), x(t) both causal (h(t)=0
School: University Of Michigan
Course: EECS216
h( )ej d and y(t) = H(j)ejt . H(j) Note: This is Fourier Transform of impulse response h(t). Note: H(j) exists |h(t)|dt < BIBO stable. So: H(j) = Given: Impulse response h(t) for LTI system. Then: ejt LTI y(t) = h(t) ejt and: y(t)= h( )ej(t ) d =ejt h( )
School: University Of Michigan
Course: EECS216
x(t)=u(t)=step function. y(t)=s(t)=step response. s(t) = (1 et/(RC) )u(t) Capacitor charges up to 1 V Time constant=RC seconds. t (1 0 t e RC )d =(tRC(1e RC )u(t). t u( )d =ramp. t s( )d = the ramp response + x(t) + x(t) Units: Each term has units of tim
School: University Of Michigan
Course: EECS216
COURSE LAB SCHEDULE Sep. 21-25: Prelab #1. Due at beginning of: Sep. 28-02: Lab #1: Impulse Response Oct. 05-09: Prelab #4. Due at beginning of: Oct. 12-16: Lab #4: PD Feedback Control Oct. 26-30: Prelab #2. Due at beginning of: Nov. 02-06: Lab #2: FM Dis
School: University Of Michigan
Course: EECS216
Q: How to tell whether a system is linear? A: If doubling input doubles output, then the system is likely linear. This rule works most (not all) of the time. y(t) = 3x(t 2); y(t) = sin(t)x(t); 2 dy +3y(t)=4 dx +5x(t). dt dt 6 dy +ty(t)=t2 dx . dt dt EXAMP
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Distributions and Stirling Numbers Suppose there are n balls and k boxes. We determine the number of ways that the balls can be distributed among the boxes under a variety of conditions. Our main focus is on the case where the balls are distinguishable an
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Counting The best way to learn about counting is to do lots of problems. What Ill try to do here is outline the guiding principles and techniques. Only experience will help you decide what to do when. Rule of Sum. The number of outcomes of a process which
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Cartesian Products and Relations Denition (Cartesian product) If A and B are sets, the Cartesian product of A and B is the set A B = cfw_(a, b) : (a A) and (b B). The following points are worth special attention: The Cartesian product of two sets is a set
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Countable and Uncountable Sets In this section we extend the idea of the size of a set to innite sets. It may come as somewhat of a surprise that there are dierent sizes of innite sets. At the end of this section we show that there are innitely many diere
School: University Of Michigan
Course: DISCRETE MATHEMATICS
The Pigeonhole Principle It is easy to see, and follows immediately from Proposition F2 in the Functions section, that no function from a set of size at least k + 1 to a set of size k can be 1-1. Thus, some two elements of the domain have the same image.
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Mathematical Induction Principle of Mathematical Induction: Let P (n) be a statement involving the integer n. IF the statement is true when n = 1, and whenever the statement is true for n = k, then it is also true for n = k + 1, THEN the statement is true
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
The University of Michigan - Department of EECS EECS 370 Introduction to Computer Organization Midterm Exam 1 February 21, 2013 Name: _KEY_ University of Michigan uniqname: _ (NOT your student ID number!) Open book, open notes. No laptops, PDAs, cell phon
School: University Of Michigan
MIDTERM 1 & REVIEW 2/3/2015 Fred Terry Midterm 1 Topics All material from beginning through current Homework (HW4) Conservations Laws (KVL, KCL) Power/Power Conservation Nodal Analysis (MNA & Classical) Mesh Analysis (Classical) Diodes are legal but only
School: University Of Michigan
School: University Of Michigan
Course: Database Mgt Syst
Introduction to Project 2 Discussion Session 3 Outline Project 2 Introduction Goal: Query Fakebook data Introduction to JDBC Project Files Example Query 9 Tasks Execution, Submission, Grading Relational Algebra More Fun with SQL EECS 484 2 Project 2 Go
School: University Of Michigan
Course: ELEMENTARY PROGRAMMING CONCEPTS
Data Type: bool What is it? A single bit of information Binary state True or False Student Records: goodAcademicStanding activeStudent Data Type: bool Where is it used? Boolean Algebra That does not help! True/False data is pervasive in computing
School: University Of Michigan
Course: ELEMENTARY PROGRAMMING CONCEPTS
Pay Experience a bookbook http:/www.cnet.com/news/applemercilessly-mocked-by-ikea/ (page down to find video) bool done = false; done = playGame(); while (!done) cfw_ done = playGame(); Facebook unique identifiers for accounts 1.23 billion monthly 945 m
School: University Of Michigan
Course: Data Structures And Algorithms
Lecture 5 Arrays & Container Classes EECS 281: Data Structures & Algorithms Job Interview Questions Assume that a given array has a majority (>50%) element find it in linear time using O(1) memory 11 13 99 12 99 10 99 99 99 Same for an array that has an
School: University Of Michigan
Course: Data Structures And Algorithms
Improve Your Workflow EECS 281 Faster *nix Navigation Use the Ctrl Key! Ctrl+p Previous, (up arrow) Ctrl+n Next, (down arrow) Ctrl+f Forward, (right arrow) Ctrl+b Back, (left arrow) Ctrl+a home, (stArt of line) Ctrl+e End, (End of line) *Works on CA
School: University Of Michigan
Course: EECS216
1 Applications of the Fourier Transform We will explore the following topics: 1. Filtering (altering the frequency characteristics of a signal) 2. AM Radio: Modulation & Demodulation 3. Sampling Theorem (how to digitally store data) Low-pass High-pass Ban
School: University Of Michigan
EECS 270 Verilog Reference: Sequential Logic 1 Introduction In the first few EECS 270 labs, your designs were based solely on combinational logic, which is logic that depends only on its current inputs. However, there are many cases in which we would like
School: University Of Michigan
Course: Math Meth Sig Proc
Cleves Corner Professor SVD By Cleve Moler Stanford computer science professor Gene Golub has done more than anyone to make the singular value decomposition one of the most powerful and widely used tools in modern matrix computation. from its SVD. Take 1
School: University Of Michigan
Course: Math Meth Sig Proc
The PageRank Citation Ranking: Bringing Order to the Web January 29, 1998 Abstract The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said o
School: University Of Michigan
Course: Math Meth Sig Proc
Chapter 7 Google PageRank The worlds largest matrix computation. (This chapter is out of date and needs a major overhaul.) One of the reasons why GoogleTM is such an eective search engine is the PageRankTM algorithm developed by Googles founders, Larry Pa
School: University Of Michigan
Course: Math Meth Sig Proc
(12) United States Patent Page US006285999B1 (10) Patent N0.: US 6,285,999 B1 (45) Date of Patent: Sep. 4, 2001 (54) METHOD FOR NODE RANKING IN A LINKED DATABASE (75) Inventor: Lawrence Page, Stanford, CA (US) (73) Assignee: The Board of Trustees of the
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Foundations of processor design: finite state machines EECS 370 Introduction to Computer Organization Winter 2015 Robert Dick, Andrew Lukefahr, and Satish Narayanasamy EECS Department University of Michigan in Ann Arbor, USA Dick-Lukefahr-Narayanasamy, 2
School: University Of Michigan
Course: Power Electronics
E ECS 418: Power Electronics M id-term E xam O ctober 26, 2011 Name: _ _ _ Answer t he questions in the blue book provided. Be neat and concise in your answers. Circle your final answers. D on't forget to write your name in the blue-book. Q uestion 1 \ .)
School: University Of Michigan
Course: Math Meth Sig Proc
IV. ESTIMATOR Objective: ML estimator Where P is positive since the elements of P (compartmental parameters, concentrations, myocardial thicknesses, and endocardial radii) are physically positive, and with assumption of Poisson measurement noise where k i
School: University Of Michigan
Course: Math Meth Sig Proc
IEEE TRANSACTIONS ON MEDICAL IMAGING, V OL 13. NO. 2 , JUNE 1994 217 Model-Based Estimation for Dynamic Cardiac Studies Using ECT Ping-Chun Chiao, W . L eslie Rogers, Neal H. Clinthorne, Jeffrey A. Fessler, and Alfred 0. Hero Abstract-In this paper, we de
School: University Of Michigan
Course: WEB DATA STRUCTURE
Web Essentials Lecture 1 Web Basics A brief history Transfer Content EECS 485 January 4, 2012 (some slides due to Dan Weld) Dewey Decimal system, library science 1960: Ted Nelson Xanadu Hypertext vision of WWW Focus on copyright, consistent (bidirectional
School: University Of Michigan
Course: WEB DATA STRUCTURE
Organization Lecture 15 Web Search Grab Bag! Today s class contains many search topics we have not yet explored 1 2 3 4 Crawler design Deduplication Inverted-index construction Distributed search architecture It s a bit of a grab-bag, but these are still-
School: University Of Michigan
Course: Circuits
RLC Circuits EECS 215: Intro. Second Order Circuits A second order circuit is characterized by a second order differential equation Resistors and two energy storage elements Determine voltage/current as a function of time Initial/final values of voltage/c
School: University Of Michigan
Cortex -M3 Revision r2p0 Technical Reference Manual Copyright 2005-2008, 2010 ARM Limited. All rights reserved. ARM DDI 0337H (ID032710) Cortex-M3 Technical Reference Manual Copyright 2005-2008, 2010 ARM Limited. All rights reserved. Release Information T
School: University Of Michigan
Course: Math Meth Sig Proc
Friday, October 24, 2014 12:30 PM Discussion Week 8 Page 1 Friday, October 24, 2014 12:38 PM Discussion Week 8 Page 2 Friday, October 24, 2014 12:46 PM Discussion Week 8 Page 3 Friday, October 24, 2014 12:50 PM Discussion Week 8 Page 4 Friday, October 24,
School: University Of Michigan
Course: Math Meth Sig Proc
Thursday, October 30, 2014 9:32 PM Discussion Week 9 Page 1 Thursday, October 30, 2014 10:14 PM Discussion Week 9 Page 2 Thursday, October 30, 2014 10:19 PM Discussion Week 9 Page 3 Thursday, October 30, 2014 10:25 PM Discussion Week 9 Page 4 Thursday, Oc
School: University Of Michigan
Course: Math Meth Sig Proc
Friday, October 17, 2014 8:13 AM Discussion Week 7 Page 1 Friday, October 17, 2014 8:23 AM Discussion Week 7 Page 2 Friday, October 17, 2014 8:27 AM Discussion Week 7 Page 3 Friday, October 17, 2014 8:38 AM Discussion Week 7 Page 4 Friday, October 17, 201
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551 Week 11 1 Angles between subspaces Let X and Y be subspaces of Cn , with the same dimension. Let X be an orthonormal basis for X , and let Y be an orthonormal basis for Y. H The (non-zero) singular values of (X ) Y are the sines of the non-ze
School: University Of Michigan
Course: Math Meth Sig Proc
Thursday, October 2, 2014 1:13 PM Discussion Week 5 Page 1 Thursday, October 2, 2014 1:17 PM Discussion Week 5 Page 2 Thursday, October 2, 2014 1:23 PM Discussion Week 5 Page 3 Thursday, October 2, 2014 9:43 PM Discussion Week 5 Page 4 Thursday, October 2
School: University Of Michigan
Course: Math Meth Sig Proc
Thursday, October 9, 2014 12:16 PM Discussion Week 6 Page 1 Thursday, October 9, 2014 12:55 PM Discussion Week 6 Page 2 Thursday, October 9, 2014 1:01 PM Discussion Week 6 Page 3 Thursday, October 9, 2014 1:08 PM Discussion Week 6 Page 4 Thursday, October
School: University Of Michigan
Course: Math Meth Sig Proc
Thursday, October 2, 2014 9:43 PM new Page 1 Thursday, October 2, 2014 10:03 PM new Page 2 Thursday, October 2, 2014 10:13 PM new Page 3 Thursday, October 1, 2015 4:56 PM new Page 4 Thursday, September 25, 2014 4:57 PM new Page 5 Thursday, September 25, 2
School: University Of Michigan
Course: Math Meth Sig Proc
Saturday, October 10, 2015 11:57 AM Discussion Week 5 f15 Page 1 Discussion Week 5 f15 Page 2 Discussion Week 5 f15 Page 3
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
1. IntroducAon and Overview EECS 370 IntroducAon to Computer OrganizaAon Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA Dreslinski-Mudge-Wenisch
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
3. Instruc1on Set Architecture The LC2k and ARM architectures EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
2. Instruc1on Set Architecture Storage types and addressing modes EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan
School: University Of Michigan
Course: Circuits
1 CIRCUIT TERMINOLOGY Credits to J. Phillips, F. Ulaby EECS 215: Intro. Circuits (F. Terry FA15) Basic Concepts 2 Charge: Fundamental property of some particles (notably but not exclusively electrons, protons) Separating positive and negative charges in s
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Pipelined processor design: excep1ons, pipeline performance EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Pipeline data and control hazards EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA Dreslinski-Mudge-Wenisch,
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Basic Processor Design Pipelining With Data Hazards EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA Dre
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Basic Processor Design Introduc1on to Pipelining EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA Dreslin
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Basic Processor Design Mul1cycle Processors EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA Dres
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Founda1ons of processor design: Single-cycle datapaths EECS 370 Introduc1on to Computer Organiza1on Fall 2015 Ron Dreslinski, Trevor Mudge, and Thomas Wenisch EECS Department University of Michigan in Ann Arbor, USA
School: University Of Michigan
Course: Data Structures And Algorithms
Lecture 6: Linked Lists and Iterators EECS 281: Data Structures & Algorithms Linked List Each node is represented by a person Each node points to the next node The last node points to nullptr (nobody) Doubly-linked List Each node is represented by one
School: University Of Michigan
Course: Data Structures And Algorithms
Lecture 2: Complexity Analysis EECS 281: Data Structures & Algorithms Assignments First reading assignment (now) CLRS chapter 1 (short) Link to textbook available on CTools First homework coming soon Assigned by Thursday First project coming soon A
School: University Of Michigan
Course: Data Structures And Algorithms
EECS 281 Data Structures and Algorithms Dr. Andrew DeOrio Dr. Hector Garcia Dr. David Paoletti Winter, 2014 Course Staff Faculty Dr. Andrew DeOrio awdeorio@umich.edu Dr. Hector Garcia hjgarcia@umich.edu Dr. David Paoletti paoletti@umich.edu Teaching
School: University Of Michigan
Course: Data Structures And Algorithms
Lecture 4: Recursion EECS 281: Data Structures & Algorithms What Counts as One Step in a Program ? Primitive operations a) Variable assignment b) Arithmetic operation c) Comparison d) Array indexing or pointer reference In reality: a[i] is the same as
School: University Of Michigan
Course: Data Structures And Algorithms
Lecture 3: Measuring Runtime, and Pseudocode EECS 281: Data Structures & Algorithms Assignments Homework 1: Will be posted on CTools today CTools online submission, no paper Due Jan 28, 11:55 pm CTools strictly enforces deadlines Readings: CLRS cha
School: University Of Michigan
Course: Data Structures And Algorithms
Lecture 5 Arrays & Container Classes EECS 281: Data Structures & Algorithms Job Interview Questions Assume that a given array has a majority (>50%) element find it in linear time using O(1) memory 11 13 99 12 99 10 99 99 99 Same for an array that has an
School: University Of Michigan
Course: Data Structures And Algorithms
Lectures 8: Stacks and Queues EECS 281: Data Structures & Algorithms The Stack Container Supports insertion/removal in LIFO order Method Description push(object) Add object to top of the stack pop() Remove top element object& top() Return a reference to
School: University Of Michigan
Course: Data Structures And Algorithms
Lectures 7: The Standard Template Library EECS 281: Data Structures & Algorithms http:/www.quora.com/TopCoder/Why-mostpeople-on-TopCoder-use-C+-as-theirdefault-language Nothing has made life easier to programmers using C+ than the Standard Template Librar
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
EECS 370 Midterm Exam 2 Fall 2012 Name: _ unique name: _ Sign the honor code: I have neither given nor received aid on this exam nor observed anyone else doing so. _ Scores: Problem # Part A Part B 1 2 3 4 5 Part C Total Points /30 /12 /12 /6 /10 /10 /20
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
Midterm 2- Review EECS 370 Introduction to Computer Organization Fall 2013 Profs. Valeria Bertacco, Robert Dick & Satish Narayanasamy EECS Department University of Michigan in Ann Arbor, USA Bertacco-Dick-Narayanasamy, 2013 The material in this presentat
School: University Of Michigan
Course: QWE
University of Michigan WINTER 2011 EECS 401: Solution to Mid Term Examination I 1. TRUE. Consider the following argument: P (A B) C) = P (A C) (B C) (1) = P (A C) + P (B C) P (A C) (B C) (2) = P (A C) + P (B C) P (A B C), (3) where the rst equation follo
School: University Of Michigan
Course: Linear Systems Theory
PLACE NAME OR INITIALS HERE: 1 Exam Number: EECS 560 Midterm Exam Wednesday, Nov. 3, 2010, 4:40-6:30 PM By LAST Name A to R in 1013 DOW S to Z in 1005 DOW HONOR PLEDGE: Copy (NOW) and SIGN (after the exam is completed): I have neither given nor received a
School: University Of Michigan
Course: Circuits
Sample solutions EECS 314 Winter 2008 Final Exam Instructor: Alexander Ganago ganago@umich.edu Wednesday April 23, 2008, 10:30 AM 12:30 PM Exam rooms, according to the [first letter of] students' last names: A.K L.P R.Z 220 Chrysler Auditorium (our lectur
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
uniqname: _ EECS 280 Final Exam Fall 2012 This is a closed-book exam. There are 5 problems on 17 pages. Read the entire exam through before you begin working. Work on those problems you find easiest first. Read each question carefully, and note all that i
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS 280: Midterm Fall 2006 This is a closed-book exam; no notes are allowed. There are 5 problems on 17 pages. Read the entire exam through before you begin working. Work on those problems you find easiest first. Read each question carefully, and note al
School: University Of Michigan
Course: EECS216
EECS 216 EXAM #2 - Winter 2008 x(t) cos(3t)dt=: 1. Fourier series of x(t) is cos(t)+ 1 cos(2t)+ 1 cos(3t)+. . . Then 2 3 1 (a) 0 (b) 3 (c) (d) (e) 2 6 3 3 2 2. Impulse response of an LTI system with frequency response (j)2 +4(j)+4 is: (a) Nonc
School: University Of Michigan
Course: Programming And Data Structures
EECS 280: Midterm Winter 2012 This is a closed-book exam. There are 5 problems on 13 pages. Read the entire exam through before you begin working. Work on those problems you find easiest first. Read each question carefully, and note all that is required o
School: University Of Michigan
Course: Programming And Data Structures
uniqname: EECS 280 Midterm Exam Spring 2012 This is a closed-book exam. There are 5 problems on 13 pages. Read the entire exam through before you begin working. Work on those problems you find easiest first. Read each question carefully, and note all that
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS 280: Final Fall 2006 This is a closed-book exam; no notes are allowed. There are 5 problems on 13 pages. Read the entire exam through before you begin working. Work on those problems you find easiest first. Read each question carefully, and note all
School: University Of Michigan
Which ARM Cortex Core Is Right for Your Application: A, R or M? Introduction The ARM Cortex series of cores encompasses a very wide range of scalable performance options offering designers a great deal of choice and the opportunity to use the best-fit cor
School: University Of Michigan
Course: Machine Learn
Practice Prob Sols II Monday, November 24, 2014 6:37 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8 Lecture Notes Page 9 Lecture No
School: University Of Michigan
Course: Machine Learn
Practice Prob Sols I Tuesday, November 17, 2015 12:21 PM Lecture Notes Page 1 Lecture Notes Page 2 Lecture Notes Page 3 Lecture Notes Page 4 Lecture Notes Page 5 Lecture Notes Page 6 Lecture Notes Page 7 Lecture Notes Page 8 Lecture Notes Page 9 Lecture N
School: University Of Michigan
Course: Digital Integrated Technology
EECS 523 W07: Digital IC Technology Name_ Midterm #1: February 19, 2007 Instructions Read all of the instructions before beginning the exam. You must sign the Honor Pledge below to receive credit for the exam. There are 3 problems on this midterm exam (wi
School: University Of Michigan
Course: DISCRETE MATHEMATICS
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Exam 1 Sample Solutions (Part B Open Answer) EECS 203 Fall 2015 Name (Print): uniqname (Print): Part B Instructions This part of the exam contains 40 points worth of open-answer questions. Please write clearly. If we cannot read your writing, such as if i
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Exam 1 Sample Solutions (Part A Multiple Choice Questions) EECS 203 Fall 2015 Name (Print): uniqname (Print): General Instructions You have 90 minutes to complete the two parts of this exam. The exam is worth 100 points, so you should work at a pace of mo
School: University Of Michigan
EECS 215 Winter Semester 2013 Midterm Exam II Name (last, first): UM uniquename: Rules: 1. Friday, March 29, 2012, 6:00 to 8:00 PM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANYONE PRIOR UNTIL RECEIVING CTOOLS Announcement! 2. Closed Book, etc. 3. C
School: University Of Michigan
EECS 215 Winter Semester 2012 Midterm Exam II \ Name glast, first): Terry , Ere! UM uniguename: 54H 115'le Lecture Section Terry Guo 9. Rules: . Monday, March 26, 2011, 6:00 to 8:00 PM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANY CTOOLS Announce
School: University Of Michigan
EECS 215 Fall Semester 2013 Midterm Exam II Name(Last,First): 10:30AM Uniqname: 1:30PM Section(circleone): Rules: a) Nominalexamtime:Monday,November18,2013,6:00to8:00PM. DONOTDISCUSSTHISEXAMWITHANYONEUNTILAFTER8PM! b) ClosedBook,etc. c) 2Pages(8.5x11,do
School: University Of Michigan
EECS 215 Winter Semester 2013 Midterm Exam II Name (last, first): UM uniquename: Rules: 1. Friday, March 29, 2012, 6:00 to 8:00 PM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANYONE PRIOR UNTIL RECEIVING CTOOLS Announcement! 2. Closed Book, etc. 3. C
School: University Of Michigan
Problem 2 - Plot Not Required 1 0.5 vc (volts) 0 -0.5 -1 -1.5 -2 0 50 100 time (msec) 150 200
School: University Of Michigan
problem 2 plot 9000 8000 7000 vc (volts) 6000 5000 4000 3000 2000 1000 0 0 1 2 3 4 time(s) 5 6 7 -5 x 10 Problem 3 c 0.03 Matlab plot of analytic result Multisim Transient Analysis 0.025 Amps 0.02 0.015 0.01 0.005 0 0 0.2 0.4 0.6 0.8 time (s) 1 1.2 1.4 1.
School: University Of Michigan
EECS 215 Fall Semester 2013 Midterm Exam 11., 53(1);0”; Name (Last, First): /€f/z I Fro; Uniqname: Section (circle one): 10:30AM 1:30PM a) Nominal exam time: Monday, November 18, 2013, 6:00 to 8:00 PM. DO NOT DISCUSS THIS EXAM WITH ANYONE UNTIL AFTER 8P
School: University Of Michigan
EECS 215 Winter Semester 2010 Midterm Exam II Name (last, first): Lecture Section Terry Guo Rules: 1. Friday, March 26, 2010, 9:00 to 10:30 AM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANYONE PRIOR UNTIL RECEIVING CTOOLS Announcement! 2. Closed Boo
School: University Of Michigan
EECS 215 Winter Semester 2012 Midterm Exam II Name (last, first): UM uniquename: Lecture Section Terry Guo Rules: 1. Monday, March 26, 2011, 6:00 to 8:00 PM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANYONE PRIOR UNTIL RECEIVING CTOOLS Announcement!
School: University Of Michigan
EECS 215 Winter Semester 2010 Midterm Exam II Nameglast,ﬁrst1: thfyi Fftoi golqii'w Lecture Section Tergg Guo Rules: 1. Friday, March 26, 2010, 9:00 to 10:30 AM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANYONE PRIOR UNTIL RECEIVING CTOOLS Announcem
School: University Of Michigan
EECS 215 Winter Semester 2011 Midterm Exam II Name (last, first): Lecture Section Terry Guo Rules: 1. Monday, March 28, 2011, 7:00 to 9:00 PM nominal exam time. DO NOT DISCUSS THIS EXAM WITH ANYONE PRIOR UNTIL RECEIVING CTOOLS Announcement! 2. Closed Book
School: University Of Michigan
EECS 215 Fall Semester 2013 Midterm Exam I Name (Last, First): Uniqname: Rules: 1. Nominal exam time: Monday, October 7, 2013, 6:00 to 8:00 PM. DO NOT DISCUSS THIS EXAM WITH ANYONE UNTIL AFTER 8PM! 2. 3. 4. 5. 6. Closed Book, etc. 1 Page (8.5x11, double s
School: University Of Michigan
Course: Digital Integrated Technology
) /-ik/f3 4- e Fa piu + e/A, sI p & II14 4/oi11 = I /-/Dq.2JAi 492q + i,t 1 A1 ,ww I (i&17q s)?Ivf I Q Z.4 ,c, C4c 3E) ,/ to -c )Y(.)L1)acO/ itl :d J(I UVfJ1141 1 . .4 I). ,OL4nDAC ,p,q do . 1 , af2L1P( [7 ,tQO U! :LA ft?1 c91 t) i 1 h e*Z 1 L, fa4L1qUI4
School: University Of Michigan
Course: INTRODUCTION TO COMPUTER ORGANIZATION
IntroductiontoComputerOrganizationWinter2015 Homework 3 Answer Key Assigned:February5,2015 Deadline:February17,2015 Name:_ ANSWERKEY _Uniqname:_ 1.SubmitasinglepdfofyourtypedorhandwrittenhomeworkinCTools.Yourfilemustbe nameduniqname_HW3.pdf. 2.Youranswer
School: University Of Michigan
Course: Digital Integrated Technology
H N % -L qj _\ Q q - - 4-ED c ) c) - L \ Hj c N ( s .& I o >< <.-.-. - . . , - I c It N l cA -1 i 1 Q c 0 aI <1 1- + 1 ; - r 0 a LA I a o. _ -p -t 1 k >( 0 )S + I N - P. ft I - r4\ (r\ p co> IoI. [ *7 ts 7oxc ) O/Q 4 / s+ SvI/yjf tJ5ij fi /),o6/e4- 2 1OS
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: DISCRETE MATHEMATICS Homework 7 Solutions 1. (4 points) There are 15 gold coins, all of which are identical except for one counterfeit coin, which is either slightly heavier or slightly lighter than all the rest. You have at your disposal a bala
School: University Of Michigan
Course: Linear Systems Theory
Linear System Theory ME 564, EE 560, Aero 550 Professor Gillespie, University of Michigan Fall 2014 Homework #4 Assigned: Oct 1, 2014 Due: Monday, Oct 6, 2014 1. Prove or disprove the following: (to disprove you must provide a counterexample). Let A : V !
School: University Of Michigan
Course: Math Meth Sig Proc
EECS551: HW2 SOLUTIONS Problem 1 T Let A = QQ be the eigendecomposition of A. Then we may write B = A 10I = QQT 10QQT (I = QQT since Q is orthogonal) = Q( 10I)QT (0.1) Notice that 10I is a diagonal matrix, and since Q is orthogonal, the right hand side of
School: University Of Michigan
Course: Control System Analysis And Design
8 Solutions to Lab Assignment 8 (a) From Lab Assignment 6, the linearized plant is P (s) = s3 + 56.57 . 200s 200 (8.1) s2 In order to satisfy ess wrt step = 0, we need to increase the system type of P (s) by 1. Hence, the controller must have a PI part,
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 551/453 - HOMEWORK 1 Reading pertaining to the problem set: Chapter 1 of Laub Reading for next week: Chapter 2 Section 9.1 of Laub Problems marked with an asterisk (*) are for EECS 453 *Problem 1. Express the n m matrix A whose j th row equals j as a
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW1 SOLUTIONS Problem 1 (*) m Let e R be a vector with ei = 1 for i = 1, . . . , m. Let x Rn be a vector with xj = j for j = 1, . . . , n. Then the desired n m matrix whose j-th row equals j is given by the outer-product xeT . In MATLAB we w
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW 3 Reading for next week: Chapter 2 and Chapter 3 of Laub EECS 551 students solve all problems. EECS 453 students only solve problems with a *. *Problem 1. This what is known about the dietary habits of the mythical Michigan Wolverine who
School: University Of Michigan
Course: Introduction To Semiconductor Device Theory
111Equation Chapter 1 Section 1EECS 320 : Introduction To Semiconductor Devices Problem Set #7 Issued: Thursday, November 4, 2010 Due: Thursday, November 11, 2010 in class 1. (5 pts) Problem 14.1 (d) in Pierret 2. (20 pts) Problem 14.2 for combinations C
School: University Of Michigan
Course: Database Mgt Syst
EECS 484 Homework #5 Question 1 Consider the following relational schema and SQL query: Students(sid, sname, gpa) Takes(sid, cid) Class(cid, cname, ctype) SELECT S.sname, C.cname FROM Students S, Takes T, Class C WHERE S.sid = T.sid AND T.cid = C.cid AND
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW 8 Reading: Chapter 6 and Chapter 8 of Laub. EECS 453 students only solve problems marked with a * Problem 1. Find the (orthogonal) projection of the vector [2 4]T onto the subspace of R3 spanned by the plane 3 3x y + 2z = 0. *Problem 2. C
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: DISCRETE MATHEMATICS Homework 2 Solutions 1. (10 points) Chapter 1.4, Problem 10 Solution : (a) xF (x, F red) (b) yF (Evelyn, y ) (c) xyF (x, y ) (d) (xyF (x, y ) xy F (x, y ) (e) xyF (y, x) (f) x(F (x, F red) F (x, Jerry ) (g) xy (F (N ancy, x)
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551 - HW 2 Reading pertaining to problem set: Chapter 2, Chapter 5.1, Chapter 9.1, Chapter 13.1-13.2 Reading for next week: Chapter 3, Chapter 5.2 EECS 551 students solve all problems. EECS 453 students solve ONLY the problems that are NOT marked
School: University Of Michigan
Course: Linear Systems Theory
EECS 560 - Solutions to HW #9 Prof. Grizzle 1. det(I A) = 2 ( + 1) + ( + 1) 1 0 By the Routh-Hurwitz test, there is at least one e-value in the closed right half plane for all I R (Because 1 and 0 have opposite signs). Never asymp. stable i.s.L Can the sy
School: University Of Michigan
Course: Linear Systems Theory
Linear System Theory ME 564, EE 560, Aero 550 Professor Gillespie, University of Michigan Fall 2014 Homework #7 Assigned: October 27, 2014 Due: November 3, 2014 1. A simplied model of the lateral dynamics of an aircraft are shown to obey a four-dimensiona
School: University Of Michigan
Course: Linear Systems Theory
EECS 560 - Solutions to HW #6 Prof. Grizzle 1. (a) det[x1 x2 x3 ] = 4 lin. indep. (b) v1 = x1 v2 = x2 a21 v1 where a21 = v1 , x2 0.4286 v1 2 v3 = x3 a31 v1 a32 v2 a31 = 1 v1 = 2 , 3 vi = vi v1 [ ] (c) Z cfw_1 ,2 ,3 v v v v1 , x3 = 0.3571 v1 2
School: University Of Michigan
Course: Embedded Control Systems
EECS 461, Spring 2014, Problem Set 71 issued: June 12, 2014 due: June 19, 2014 To receive full credit for your answers to the following questions, please explain your reasoning carefully. 1. In the following code, the function lSecondsSinceMidnight return
School: University Of Michigan
Course: Linear Systems Theory
EECS 560 - Solutions to HW #7 Prof. Grizzle 1. A(tt0 ) x(t) = e t A(t ) x0 + e bu( )d 1 eA(t ) bu( )d x(1) = t0 0 From last week, eAt b where 1 (t) x(1) = 1 (t)b + 2 (t)Ab = e2t + 2et ; = 1 0 2 (t) = et + e2t 1 (1 )bu( )d + 1 0 2 (1 )Abu( )d = 1 (1 t), u(
School: University Of Michigan
Course: : Introduction To Artificial Intelligence
EECS 492 Fall 2012 Homework 6 Solution Guide 1. adult.data.ar @RELATION adultdata @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE @ATTRIBUTE age NUMERIC workcla
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: DISCRETE MATHEMATICS Homework 9 Solutions 1. (9 points) If R V V is a binary relation over V then R1 (the inverse) is dened as: (x, y ) R if and only if (y, x) R1 . Prove or disprove the following: (a) If R is transitive & reexive then R R1 is a
School: University Of Michigan
Course: Introduction To MEMS
EECS 414 Introduction to MEMS Homework #3 Total: 180 Points Fall 2007 Handed Out: Due: Friday Sept. 21, 2007 Friday Sept. 28, 2007 1. This problem deals with etching of the silicon device shown below. The figure shows the cross section and the t
School: University Of Michigan
Course: Database Mgt Syst
EECS 484 Homework #5 Question 1 Consider the following relational schema and SQL query: Students(sid, sname, gpa) Takes(sid, cid) Class(cid, cname, ctype) SELECT S.sname, C.cname FROM Students S, Takes T, Class C WHERE S.sid = T.sid AND T.cid = C.cid AND
School: University Of Michigan
Course: Circuits
EECS 314 Winter 2008 Homework set 8 Student's name _ Discussion section # _ (Last, First, write legibly, use ink) (use ink) Instructor is not responsible for grading and entering scores for HW papers lacking clear information in the required field
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203, Discrete Mathematics Winter 2007, University of Michigan, Ann Arbor Problem Set 5 Problems from the Textbook 9.1: 24[E] 9.2: 58[M] 9.3: 32[M], 68[M] 9.4: 16[E] 2.4: 26[C], 38[E] * Additional Problems Required for All Students Problem A5.
School: University Of Michigan
Course: ML
EECS445: Introduction to Machine Learning, Fall 2014 Homework #1 Due date: 5pm on 9/23 (Tuesday) Reminder: While you are encouraged to think about problems in small groups, all written solutions must be independently generated. Please type or hand-write s
School: University Of Michigan
Course: Introduction To MEMS
EECS 414 Introduction to MEMS Reading Assignments Homework #2 Total: 165 Points Fall 2007 Class Handouts and Notes, Introduction to Microfabrication Technologies Handed Out: Due: Thursday Sept. 13, 2007 Friday Sept. 21, 2007 1. Thermal and e-b
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: HW 6 SOLUTIONS Problem 1 (*) (A b)T (I A A)y =bT (A )T (I V U T U V T )y =bT U ( )T V T (V V T V V T )y =bT U ( )T ( )T )V T y If Rmn = diag(1 , 2 , . . . , r ), we can verify that ( )T = ( )T through direct multiplication, so that (A b)T (I
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203: Homework 1 Solutions Section 1.1 1. (E) 8bef b) You do not miss the final exam if and only if you pass the course. e) If you have the flu then you do not pass the course, or if you miss the final examination then you do not pass the course. f) Y
School: University Of Michigan
Course: Dsp Design Lab
EECS452 Lab4 Pre-lab Mei Yang Q1. Answer: From the figure that has been generated, we can clearly see that the max gain is 60dB. Q2. Answer: From the matlab design, we can easily get that: a. 210 b. 35 Q3. Answer: For the passband, the difference is very
School: University Of Michigan
Course: Embedded Control Systems
EECS 461 Spring 2014 Lab 1: Familiarization and Digital I/O 1 Overview The purpose of this lab is to familiarize you with the hardware and software used in EECS 461. For this class we will be using a 32-bit oating-point Freescale MPC5553 microcontroller r
School: University Of Michigan
Course: Dsp Design Lab
Pre-lab questions: Q1. Consider the logic statement (A*B)+(C*A) a. Write the truth table for that logic statement b. Draw the gates that implement that logic statement (without simplification). A, B 00 01 10 11 C=0 0 0 0 1 C=1 1 1 0 1 Q2. Consider a 2-to-
School: University Of Michigan
Course: Circuits
EECS 215 Lab Supplementary Materials / Op Amp Lab Cover page Op Amp Lab Report Students Name _ Date of Lab Work _ I have neither given nor received aid on this report, nor have I concealed any violations of the Honor Code. _ (students signature) Lab Secti
School: University Of Michigan
EECS 270 Verilog Reference: Combinational Logic 1 Introduction The goal of this document is to teach you about Verilog and show you the aspects of this language you will need in the 270 lab. Verilog is a hardware description language rather than drawing a
School: University Of Michigan
Course: Circuits
File Edit View ijm Opuate Touls Winduw Help n» C; II Horiz' Scale div Andrew Turek acturek B th Samuel Rohrer rohrer 0 2v 2v 500us 215 Waveforms 12"“ PM migrmls Kaushik Kannan 500us DC DC as 0V 0‘! 1 1 Andrew Turek Samuel Rohrer ' 12‘" P
School: University Of Michigan
Course: ELEMENTARY PROGRAMMING CONCEPTS
Saving as a .txt le in OS X You'll need to upload a plain text le to Autograder in this and future labs. Here's how to do it on Mac OS X (this is Lion; earlier versions may be slightly dierent): 1) Type TextEdit into Spotlight to open the TextEdit program
School: University Of Michigan
Course: Vlsi Design I
EECS427 Fall 2015 The Design and Simulation of an Inverter (Last updated: September 11, 2015) A. Overview of Full-custom Design Flow The following steps are involved in the design and simulation of a CMOS inverter. 1. Capture the schematic i.e. the circui
School: University Of Michigan
Course: Introduction To Semiconductor Device Theory
EECS203Homework3Fall2015 Thishomeworkassignmentconsistsofproblemsfromthetextbook(Rosen,7theditionifyouareusingan earlieredition,itisyourresponsibilitytomakesurethatyouhavethecorrectproblems). ThehomeworkshouldbesubmittedasaPDFthrough Gradescope (seeinstru
School: University Of Michigan
Course: Introduction To Semiconductor Device Theory
EECS 203 Homework 1 Fall 2015 This homework assignment consists of problems from the textbook (Rosen, 7th edition if you are using an earlier edition, it is your responsibility to make sure that you have the correct problems). The homework should be submi
School: University Of Michigan
Course: Introduction To Semiconductor Device Theory
EECS 301: Probabilistic Methods in Engineering (Fall 2015) 1. Time and Room: MW 9:00 am -10:30 am, EECS 1200. Discussion: F 10:30 am - 11:30 am, EECS 1500. Lectures serve to introduce new concepts. They have an overview nature, but also include some simpl
School: University Of Michigan
Course: Introduction To Semiconductor Device Theory
University of Michigan FALL 2015 EECS301: Homework 1 Assigned: September 9, 2015 Due: September 16, 2015 at the beginning of the lecture. Text: Probability, statistics and random processes for electrical engineering by Alberto LeonGarcia (third edition) R
School: University Of Michigan
Course: Parallel Computing
Serial Quicksort Quicksort is an important sorting algorithm. Given an array A(1:n) of items to be sorted, Quicksort(i,j,A) sorts the items in positions i . . . j. To sort the entire array, the main program calls Quicksort(1,n,A). Quicksort(i,j,A): If j
School: University Of Michigan
Course: Intro Oper System
EECS 551/EECS 453 EIG/SVD & what you can do with it 1. Sensor localization Multidimensional scaling http:/www.mathworks.com/products/statistics/demos.html?file=/products/demos/shipping/stats/cmdscaledemo.html MATLABs cmdscale.m Cmdscale.m 2. Image Compre
School: University Of Michigan
Course: Intro Oper System
vm_create (6028) vm_switch (6028) returning to (6028) with pages: vm_extend (6028) 1 vm_extend returned 0x60000000 returning to (6028) with pages: vm_extend (6028) 2 vm_extend returned 0x60001000 returning to (6028) with pages: vm_extend (6028) 3 vm_exten
School: University Of Michigan
Course: Intro Oper System
UCSD4& UCSDCU La Scala La ScalaLa Scala Luxury Villas201 10 Scala La apartment house 3 * 20134
School: University Of Michigan
Course: Intro Oper System
CAEN Remote Access * CAEN Accounts CAEN accounts are REQUIRED for EECS 281 http:/caen.engin.umich.edu/hotline * Connect to CAEN Remote CAEN VNC (Linux) http:/caen.engin.umich.edu/connect/vnc SFTP Transfer from your local machine http:/caen.engin.umich.edu
School: University Of Michigan
Course: Intro Oper System
EECS281 Discussion 1 Welcome to Discussion! What happens in discussion? Practice problems (exams/hw) Project specifications Class Logistics Programming exercises Interview style problems Agenda This week: Makefiles C+11 Getopt I/O Makefiles Makefiles are
School: University Of Michigan
Course: Digital Integrated Circuits
Lab 1: Introduction to Cadence EECS 312 Fall 2015 Posted: Thursday September 10, 2015 Due: Friday October 2, 2015, beginning of Discussion 1. Introduction This tutorial has been devised to walk you through all the steps involved in the design and simulati
School: University Of Michigan
Course: Data Structures And Algorithms
Project 1: The STL and You A quick intro to the STL to give you tools to get started with stacks and queues, without writing your own! Use a deque instead! Speed up your output! The vector<> Template You must #include <vector> Basically a variable-sized a
School: University Of Michigan
Course: Data Structures And Algorithms
EECS281Fall2015 ProgrammingAssignment1 SinisterSorceryandStacks (PathFinding) DueTuesday,September2911:55PM Overview BlimeyEvilLordMoldywarthasthreatenedtotakeoverthewizardingworld!Ouronlychance ofsurvivalisforPerryHotter,theChosenOne,tofindthemagicringin
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS280F14GoogleDriveRepository http:/goo.gl/GWEL82 EECS 280 Lab 07: ADTs and Polymorphism Due Friday, 31 October 2014, 11:55pm Inthislab,wewillrefactorandbuildontotheASCIIartprogramwefirstsawinLab4.Wewill useasetofAbstractDataTypes(ADTs)towritetheprogram
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
QuickReferences EECS 280 Lab 10: The Big Three Due Friday, 21 November 2014, 11:55pm Unfortunately,itturnsoutourA r y n V c o fromthepreviouslabstillhasafewissues raItetr thatcanleadtomemoryerrors.Whenweswitchedtousingadynamicallyallocatedarray, weprovide
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS 280 Lab 12: Functors (Not Collected) Inthislab,youwilllearnhowtodefineandusefunctors.Functorsaresimilartofunction pointers,butmuchmorepowerful.Theycancontainstateandtheybehavejustanyother objectinyourprogram!Indeed,aFunctorisanobjectwhichactslikeafu
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
QuickReferences EECS 280 Lab 11: Iterators Due Friday, 5 December 2014, 11:55pm Inthislab,wewillpracticeusingSTLstyleiteratorsforthesinglylinkedListclassintroduced inlecture.We'lluseValgrindtomakesurewecleanupmemorycorrectly. Thislabcoversmaterialfromthes
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS280F14GoogleDriveRepository http:/goo.gl/GWEL82 EECS 280 Lab 09: Dynamic Memory Due Friday, 14 November 2014, 11:55pm Inthislab,wewillmodifyI t e t r n V c o fromthepreviouslabbyusingdynamicallyallocated arraystosupportstorageofarbitrarilymanyelements
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS280F14GoogleDriveRepository http:/goo.gl/GWEL82 EECS 280 Lab 08: Container ADTs Due Friday, 7 November 2014, 11:55pm Inthislab,wewillpracticecreatingandusingcontainerabstractdatatypes.Acontainerisan objectthatcanstoreacollectionofelements.Inthisexampl
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
EECS280F14GoogleDriveRepository http:/goo.gl/GWEL82 EECS 280 Lab 06: Structs and Classes Due Friday, 24 October 2014, 11:55pm Inthislab,youwillpracticetechniquesforobjectorientedprogramming.We'lljuxtaposeboththe Cstyle(structs)andtheC+style(classes)herein
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
QuickReferences EECS 280 Lab 05: Strings and IO Due Friday, 10 October 2014, 11:55pm Inthislab,youwillpracticestringmanipulation(usingbothCstringsands r n objectsfrom tig theC+StandardLibrary)andfileinput/outputinC/C+andusethemtoimplementasimple spellchec
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
QuickReferences EECS 280 Lab 04: Arrays and Pointers Due Friday, 3 October 2014, 11:55pm Inthislab,youwillreviewthebasicsofpointersinC/C+andpracticeusingthemtotraverse andmanipulatearrays.Ourmotivatingexamplewillbethedesignofacanvasthatprintsout simpleASC
School: University Of Michigan
2015 CSE SURE/SROP Projects 1/9/15 12:37 PM Search Academics+Admissions Academics +Admissions Course Information Research People Industry News+Awards Events About Resources Donate 2015 SURE/SROP Research Projects Computer Science and Engineering (CSE) Dir
School: University Of Michigan
Course: EECS216
EECS 216 SOLUTIONS TO PROBLEM SET #3 1. Compute the following convolutions without computing any integrals: (a) (t 2) [u(t) 3u(t 1) + 2u(t 2)] (b) [(t) + 2(t 1) + 3(t 2)] [4(t) + 5(t 1)] (c) u(t) [u(t) u(t 2) 2(t 2)] Solution: Using the convolution proper
School: University Of Michigan
Course: EECS216
&2192/87,21 W H(W ) LQ ( ) K(W ) G , DQG W IRU W V. LQ ( ) = , IRU W < . H(W ) G = H + W , RXW (W) = W K(W ) = H(W ) , W V RXW (W) = 7KH ORZHVW YDOXH WKDW WKH LQWHJUDWLRQ YDULDEOH FDQ DVVXPH LV ]HUR 7KHUHIRUH ZKHQ W < W < DQG K(W ) = &RQVHTXHQWO\ W <
School: University Of Michigan
Course: EECS216
Eulers theorem: ej = cos + j sin . x = j in innite series ex =1+x+x2 /2!+. . . M ej = M cos + jM sin for any M . cos = 1 (ej + ej ) denes cosine. 2 1 sin = 2j (ej ej ). sin(x)=cos(x/2). ej =1. j=ej/2 and j=ej3/2 . = y arctan( x ) + 0 y arctan( x ) M = x
School: University Of Michigan
Course: DISCRETE MATHEMATICS
Study sheet for Final CS1100 by Matt in Wed night class Licensed under the GNU Free Documentation License (GFDL) http:/www.gnu.org/copyleft/fdl.html Sequences have patterns; possible patterns are: 1. Term related to other terms 2. Term described to positi
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS203finalexamstudyguide winter 2012, University of Michigan byEvanHahn+ScottGodbold+BradHekman+AlexIhlenburg+RyanYezman+Matt Schulte+LuluTang+AndyModell+KevinByung+DavidBrownman+OttoSipe+Yaoyun Shi+ThomasLovett+SeanHacker+MikeCuskley&DanielNees (addyou
School: University Of Michigan
Course: Digital Integrated Technology
EECS 523 Digital Integrated Technology Fall 2015 COURSE INFORMATION Instructor: Prof. G. Roientan Lahiji, Office: 3213 EECS Email: roientan@umich.edu Lecture: Room 1200 EECS, Tuesday and Thursday 1:00 3:00 PM Office Hours: Monday, Wednesday and Friday 1:3
School: University Of Michigan
Course: Circuits
2015 Winter EECS 314 Students name: _ (Last, First; write legibly; use ink) HW 1 pr 2 Discussion section # _ HW 1 problem 2 (200 points) Ohms law i
School: University Of Michigan
Course: PROBABILITY
Chapter 1 Sigma-Algebras 1.1 Denition Consider a set X . A algebra F of subsets of X is a collection F of subsets of X satisfying the following conditions: (a) F (b) if B F then its complement B c is also in F (c) if B1 , B2 , . is a countable collection
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 453/551: Googles Page-Rank algorithm In MATLAB, load the eecs.umich.edu adjacency matrix you produced by running surfer.m. Please download the pagerank_demo.zip file from Canvas under files\demos\pagerank section and unzip it into a working folder. I
School: University Of Michigan
Course: Math Meth Sig Proc
Thursday, September 18, 2014 1:27 PM Discussion Week 3 Page 1 Thursday, September 18, 2014 1:40 PM Discussion Week 3 Page 2 Thursday, September 18, 2014 1:45 PM Discussion Week 3 Page 3 Thursday, September 18, 2014 1:55 PM Discussion Week 3 Page 4 Thursda
School: University Of Michigan
Course: Math Meth Sig Proc
Discussion 2 Follow Up David Hiskens September 21, 2015 Eigendecomposition of Non-Diagonal Matrix There was a request for an example of an eigendecomposition in which the eigenvectors were not trivially the columns of the identity matrix. Consider the fol
School: University Of Michigan
Course: Comp. Vision
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. PAMI-8, NO. 6, NOVEMBER 1986 679 A Computational Approach to Edge Detection JOHN CANNY, MEMBER, IEEE Abstract-This paper describes a computational approach to edge detection. The success
School: University Of Michigan
Course: Comp. Vision
An Introduction to Projective Geometry for computer vision Stan Birch eld 1 Introduction We are all familiar with Euclidean geometry and with the fact that it describes our threedimensional world so well. In Euclidean geometry, the sides of objects have l
School: University Of Michigan
Course: PROBABILITY
EECS 501- Discussion 3 Discrete Random Variable Important Discrete PMFs: Bernoulli Random Variable: |S| = 2, X(S) = cfw_0, 1, P (1) : = p, p cfw_0, 1, E(X) = p, V ar(X) = p(1 p) Example: Tossing a coin, Passing a test Binomial: |S| = N + 1, N N cfw_0, X
School: University Of Michigan
Course: PROBABILITY
University of Michigan FALL 2015 Random Variable Consider a random experiment with sample space and an event space (sigma-algebra) F. Let P be a probability measure on F. We say that (, F, P ) is a probability space. We study the concept of random variabl
School: University Of Michigan
Course: Parallel Computing
Standard Computer Science Notation and Mathematics c Quentin F. Stout lg ln n! n m x x log base 2 Remember that loga x = loga b logb x. log base e n factorial, i.e., n (n 1) . . . 2 1. n choose m, the number of distinct subsets of m items in a set of n di
School: University Of Michigan
Course: Embedded Control Systems
Matlab RC Filter Design % m-file generates an R-C circuit antialiasing filter num = 1; den = [RC 1]; omega = logspace(-1,3); [mag, phase] = bode(num, den, omega); subplot(2,1,1) % Magnitude and Phase on one page % plot magnitude in dB vs. frequency in Hz
School: University Of Michigan
Course: Embedded Control Systems
EECS 461: Final Project Work Breakdown (Sp14) Work may be completed in any order or at a pace faster than listed below. Below is a suggestion which will allow you to complete as much modeling as possible outside of lab. However, you are responsible for ha
School: University Of Michigan
Course: Embedded Control Systems
RAppID Reference EECS461 March 28, 2013 1 GPIO Peripheral Blocks The main functionality of the GPI block is to set the selected GPIO pin for general purpose input. All the available pins are connected to Dipswitches in the lab. The main functionality of t
School: University Of Michigan
Course: Control System Analysis And Design
Fall 2015 EECS 460: CONTROL SYSTEMS ANALYSIS AND DESIGN Instructor: Semyon M. Meerkov 4230C EECS bldg., 734-763-6349, smm@umich.edu Lectures: M and W, 1:30pm 3:00pm, Room 1500 EECS Office Hours: M and W, 12:30pm 1:30pm (or by appointment), Room 4230C EECS
School: University Of Michigan
Course: Intr Art Intell
syllabus-F15.xlsx 9/4/15 EECS 492: Artificial Intelligence topic read before class 9/8 9/10 What is AI? Agents and environments chapter 1 (29p) chapter 2 (22p) 9/15 9/17 State spaces and search Beyond classical search chapter 3 (45p) chapter 4 (34p) 9/22
School: University Of Michigan
Course: Intr Art Intell
EECS 492: Introduction to Artificial Intelligence Fundamental concepts of AI, organized around the task of building computational agents. Core topics include search, logic, representation and reasoning, automated planning, representation and decision maki
School: University Of Michigan
Course: Comp. Vision
EECS 598-01 Special Topic Foundations of Computer Vision Fall 2015 MW 12:00-1:30PM in 1005 DOW Course Overview: Computer Vision seeks to extract useful information from images, video and other visual content. This course will introduce the breadth of mode
School: University Of Michigan
Course: Comp. Vision
EECS 598-01 Foundations of Computer Vision Electrical Engineering and Computer Science University of Michigan Syllabus for Fall 2015 Last updated: 8 September 2015 Instructor: Jason Corso (jjcorso) Course Webpage: http:/web.eecs.umich.edu/jjcorso/t/598F15
School: University Of Michigan
Course: Comp. Vision
Week Monday Wednesday 9/7 No Class: Before Term 1: Introduction 9/14 2: Images as Functions 3: Image Operations 9/21 4: Geometric Invariance 5: Case Study on Geometric Invariance by Local Features: Rotation Invariance 9/28 6: Case Study on Geometric Invar
School: University Of Michigan
Course: Parallel Computing
Parallel Computing: EECS 587 Quentin F. Stout 3605 CSE 763-1518 qstout@umich.edu www.eecs.umich.edu/~qstout Texts: None, but some computer manuals will be used, and there will be various papers, book excerpts, and web resources. Course Overview: The cours
School: University Of Michigan
Course: DISCRETE MATHEMATICS
EECS 203, F12 syllabus Lec Day Date Topic Logic, Proofs, and Objects (sets, relations, functions) 1 Tue 4-Sep-12 Introduction to Course, Propositional Logic 2 Thu 6-Sep-12 Propositional Equivalences 3 Tue 11-Sep-12 Predicates and Quantifiers
School: University Of Michigan
Course: Linear Systems Theory
ME564/EE560/AERO550/CEE571 - Linear Systems Theory Univ. of Michigan, Fall 2015 Instructor: Prof. Brent Gillespie 2142 GG Brown 647-6907 email: brentg@umich.edu Lectures: Oce Hours: Mo,We,Fr 1:30-2:30, 1670 Beyster see ctools homepage GSIs: Justin Storms,
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 551: MATRIX METHODS FOR SIGNAL PROCESSING, DATA ANALYSIS & MACHINE LEARNING EECS 453: APPLIED MATRIX ALGORITHMS FOR SIGNAL PROCESSING, DATA ANALYSIS & MACHINE LEARNING Summary: Theory and application of matrix methods to signal processing, data analy
School: University Of Michigan
Course: PROBABILITY
EECS 501: Probability and Random Processes University of Michigan, Fall 2015 Section 1 Lectures: Tu Th 10.30-12.00 AM, (BEYSTER 1670) Instructor: S. Sandeep Pradhan Email: pradhanv@umich.edu Office: 4240 EECS Office hours: W 3-5 PM (EECS 2246), Fri 3-4 PM
School: University Of Michigan
Course: PROBABILITY
EECS 501: Detailed Syllabus University of Michigan, Fall 2015 1. Sep 8, Course logistics, Set operations, Event space 2. Sep 10, Probability measure, conditional probability, independence 3. Sep 15, Law of total probability, Bayes' rule, MAP rule, sequ
School: University Of Michigan
Course: Math Meth Sig Proc
EECS 551: MATRIX METHODS FOR SIGNAL PROCESSING, DATA ANALYSIS & MACHINE LEARNING EECS 453: APPLIED MATRIX ALGORITHMS FOR SIGNAL PROCESSING, DATA ANALYSIS & MACHINE LEARNING Summary: Theory and application of matrix methods to signal processing, data analy
School: University Of Michigan
Course: Intr Art Intell
EECS 492: Introduction to Artificial Intelligence Fall 2014 Instructor: Prof. Emily Mower Provost Office Hours: Wednesday 911 Office: 3620 CSE emilykmp@umich.edu GSIs: GSI office hours will take place in the EECS Learning Center (BBB 1637). Duc Le Office
School: University Of Michigan
Course: Computer Vision
EECS442ComputerVision CourseDescription Thecourseisanintroductionto2Dand3Dcomputervision.Topicsinclude:camerasmodels,the geometryofmultipleviews;shapereconstructionmethodsfromvisualcues:stereo,shading,shadows, contours;lowlevelimageprocessingmethodologies
School: University Of Michigan
Course: Linear Systems Theory
No textbook is required. The following book is RECOMMENDED (but once again, not required). It is on reserve in the library. 1) ISBN: 9780471735557 Linear State-Space Control Systems Robert L Williams, III, Douglas A Lawrence The following books are also o
School: University Of Michigan
Course: Linear Systems Theory
EECS 560: LINEAR SYSTEMS THEORY OR (LINEAR ALGEBRA FOR FUN AND PROFIT) Instructor: Prof. Jessy W. Grizzle, 4421 EECS Bldg., grizzle@umich.edu, 734-7633598 Class Periods: Lecture meets MWF, 1:30 to 2:30 PM in 1670 CSE Fldg. Recitation meets W 4:30 to 6:30
School: University Of Michigan
Course: Lin Feedback Control
EECS 565: Linear Feedback Control Systems, Winter 2011 TIME: 10:30-12:00 Tuesday and Thursday PLACE: 1303 EECS Bldg. INSTRUCTOR: J. S. Freudenberg OFFICE: 4425 EECS bldg PHONE: (734) 763-0586 EMAIL: jfr@eecs.umich.edu OFFICE HOURS: 2:00-3:00 Monday and 12
School: University Of Michigan
Course: Introduction To Cryptography
University of Michigan, Computer Science and Engineering EECS 475: Introduction to Cryptography Instructor: Prof. Kevin Fu Handout 1 January 8, 2014 Course Information Instructor: Prof. Kevin Fu Lecture: Mondays/Wednesdays 10:30-12:00 (1610 IOE) Oce Hours
School: University Of Michigan
Course: Introduction To Machine Learning
ECE-340 Spring 2008 Probabilistic Methods in Engineering (3 credits) M, W 3:00-4:15 PM Room: Dane Smith Hall 325 Syllabus Course Goals: To introduce the student to basic theoretical concepts and computational tools in probability and statistics with empha
School: University Of Michigan
Course: Introduction To Probability
ECE-340 Spring 2008 Probabilistic Methods in Engineering (3 credits) M, W 3:00-4:15 PM Room: Dane Smith Hall 325 Syllabus Course Goals: To introduce the student to basic theoretical concepts and computational tools in probability and statistics with empha
School: University Of Michigan
Stats 412: Introduction to Probability and Statistics Winter 2013 Instructor: Dr. Shyamala Nagaraj 270 West Hall, 734-764-5493, shyamnk@umich.edu Section 1: T Th Lecture hours: 10 - 11.30 a.m., 296 Dennison GSI: Zahra Razaee, razaee@umich.edu Exam 1: Thur
School: University Of Michigan
EECS 482: Introduction to Operating Systems Winter 2013 1 Basic information Lecture time & place: TTh 4:30-6pm, 1013 Dow Instructor: Jason Flinn, jflinn@umich.edu, office hours M 2:30-4:30pm, 4641 BBB Course staff: Nathaniel Daly, Brett Higgins, Justin Pa
School: University Of Michigan
Rev 1/26/2013 Page 1 of 3 Syllabus CSE 496 Winter 2013 Instructor, Elliot Soloway, Instructor, soloway@umich.edu GSI, Prateek Tandon, prateekt@umich.edu YOU MUST JOIN THIS EMAIL LIST: 1. Go to: directory.um
School: University Of Michigan
Course: Linear Systems Theory
Syllabus ME 564/EECS 560/Aero 550 Prof. Tilbury, UMich, Fall 2012 Lectures: MWF 1:302:30pm, 1670 Beyster Instructor: Prof. Dawn Tilbury, 3124 GG Brown, 936-2129, tilbury@umich.edu. Ofce Hours: MWF 2:30-3:30pm or by appointment GSIs: Hamid Ossareh, hamido@
School: University Of Michigan
Course: Power Electronics
Syllabus for EECS 418 Power Electronics Fall 2012 Pre-requisites: EECS 215 and EECS 216, and preceded or accompanied by EECS 320, or graduate standing. Course: Lecture: Lab, Section 1: Lab, Section 2: Lab, Section 3: MW 3:00 p.m.4:30 p.m., Th 3:00 p.m.6:0
School: University Of Michigan
Course: PROBABILITY
EECS 501 Probability and Random Processes Fall 2009 Lectures: TTh 10:30 am 12 noon, 1500 EECS Bldg. Recitation: Tue 3:30 pm 5 pm 1010 DOW Bldg. (section 11) or M 4:30 pm -6 pm, 2233 GGBL Bldg. (section 12) Instr uctor: Professor K. A. Winick 4423 EECS Bld
School: University Of Michigan
Course: Circuits
EECS 215: Introduction to Electronic Circuits Winter Semester 2010 Instructors: Section 1: 9:30-10:30 AM, MWF and 1:30-2:30 PM, F, Prof. Fred Terry 2417F EECS Bldg. fredty@umich.edu (Please include EECS215 in the subject line) 763-9764 Section 2: 1:30-2:3