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School: University Of Michigan
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
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: 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: 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
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: Intro Oper System
EECS 482 Final (Fall 1998) You will have 110 minutes to work on this exam, which is closed book. There are 4 problems on 14 pages. Read the entire exam through before you begin working. Work on those problems you nd easiest rst. Read each question ca
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
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
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
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: Nat Lng Proc
What makes a question difcult? Erin Rhode EECS 595 University of Michigan errhode@eecs.umich.edu Abstract The ability to determine a questions difculty before attempting to answer the question would be very useful for determining the price of a que
School: University Of Michigan
Cellular coverage In practice, unless we live somewhere flat without any buildings or vegetation we do not get nice circular cells Typically mobile antennas are low The propagation path is frequently not line of sight Blockage by buildings Blockage by veg
School: University Of Michigan
Radiowave Propagation and Link Design, EECS 430/AOSS 431 Radiowave Link Design WELCOME! INSTRUCTOR - BRIAN E. GILCHRIST UM Positions Professor, Electrical and Computer Engineering, EECS Department Professor, Atmospheric, Oceanic, and Space Sci
School: University Of Michigan
Antenna Arrays EECS 430 University of Michigan A Special Case A More General Case Uniform Separation, Uniform Amplitude, Different Current Phase A More General Case (Cont) The overall array far field is found using superposition. (Array factor for a unif
School: University Of Michigan
An Introduction to Radio Receivers EECS 430 University of Michigan Typical Receiver Parameters Noise Figure Min Detectable Signal (MDS) threshold Sensitivity Dynamic Range Spurious Outputs Desensitization Reciprocal Mixing Selectivity Radio Receiver Figur
School: University Of Michigan
Maxwell Equations EECS 430 - Radiowave Prop. & Link Design Brian E. Gilchrist, University of Michigan, Electrical Engineering and Computer Science Greens Theorem/Stokes Theorem EECS 430 - Radiowave Prop. & Link Design Brian E. Gilchrist, University o
School: University Of Michigan
An Introduction to RADAR EECS 430 University of Michigan Radar Radar RADAR - Radio Detection and Ranging Any active electromagnetic sensor that uses its own source to illuminate a region of space and then measure the echoes generated by reflecting objects
School: University Of Michigan
Course: Intro Oper System
EECS 482 Final (Fall 1998) You will have 110 minutes to work on this exam, which is closed book. There are 4 problems on 14 pages. Read the entire exam through before you begin working. Work on those problems you nd easiest rst. Read each question ca
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
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
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: 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: 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
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: 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: Estim Filter&detect
EECS 564 HW 1: Projections and the Signal Subspace Model Due Thursday, Jan. 11 0. Reading (0 points) Read chapters 1 and 2 of the course packet. 1. Bases, Projections, Filtering and the FFT (25 points) The vectors 1 uk = N 1 e2j N . . . e2j N
School: University Of Michigan
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
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
Blackjack! EECS 280 Winter 2013 Due: Tuesday, April 2nd, 11:59pm Introduction This project will give you experience implementing abstract data types, using interfaces (abstract base classes), and using interface/implementation inheritance. Blackjack (Simp
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
Stacks, Queues and Lists EECS 280 Winter 2013 Due: April 23rd, 11:59pm Introduction This project will give you experience implementing a templated container class (the double-ended, doubly-linked list) and using it to implement two simple applications. Ad
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
Composable Data Structures EECS 280 Winter 2013 Due: Friday, March 15th, 11:59 PM Introduction Sorry! is a Parker Brothers board game of the "move from start to home" genre, incorporating both random chance and strategy. Players draw cards which specify p
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
Project 2: Recursive Data Structures EECS 280 Winter 2013 Due: Friday, February 8th, 11:59 PM Introduction This project will give you experience writing recursive functions that operate on recursively-defined data structures and mathematical abstractions.
School: University Of Michigan
Course: PROGRAMMING AND INTRODUCTORY DATA STRUCTURE
Project 1: How much car can you afford? EECS 280 Winter 2013 Due: Tuesday, January 22nd, 11:59 PM Introduction This project will give you experience writing, compiling, and debugging a simple C+ program. You will gain experience with header files and mult
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