Designing Information Devices and Systems I Fall 2016 Babak Ayazifar, Vladimir Stojanovic Midterm 1. Exam location: 2050 VLSB, Last Name: Tong-Zzz

Similar documents
Designing Information Devices and Systems I Fall 2016 Babak Ayazifar, Vladimir Stojanovic Midterm 1. Exam location: 145 Dwinelle, last SID# 2

Designing Information Devices and Systems I Spring 2017 Babak Ayazifar, Vladimir Stojanovic Midterm 1

Designing Information Devices and Systems I Spring 2016 Elad Alon, Babak Ayazifar Midterm 1

Designing Information Devices and Systems I Spring 2017 Babak Ayazifar, Vladimir Stojanovic Midterm 2. Exam location: 145 Dwinelle, last SID# 2

Designing Information Devices and Systems I Spring 2016 Elad Alon, Babak Ayazifar Midterm 1

Designing Information Devices and Systems I Summer 2017 D. Aranki, F. Maksimovic, V. Swamy Midterm 1. Exam Location: 2050 VLSB

Designing Information Devices and Systems I Fall 2015 Anant Sahai, Ali Niknejad Midterm 1. Exam location: 60 Evans, last digit SID= 6

Designing Information Devices and Systems II Spring 2016 Anant Sahai and Michel Maharbiz Midterm 1. Exam location: 1 Pimentel (Odd SID + 61C)

Discrete Mathematics and Probability Theory Summer 2014 James Cook Midterm 1 (Version B)

Problem Point Value Points

EECS 16A Designing Information Devices and Systems I Spring 2016 Elad Alon, Babak Ayazifar Final. Exam location: RSF Back Left, last SID# 1, 4, + 5

Designing Information Devices and Systems I Fall 2017 Midterm 2. Exam Location: 150 Wheeler, Last Name: Nguyen - ZZZ

Designing Information Devices and Systems I Spring 2018 Midterm 1. Exam Location: 155 Dwinelle Last Name: Cheng - Lazich

Designing Information Devices and Systems II Spring 2016 Anant Sahai and Michel Maharbiz Midterm 2

Designing Information Devices and Systems I Spring 2016 Elad Alon, Babak Ayazifar Midterm 2. Exam location: 145 Dwinelle, last SID# 2

Designing Information Devices and Systems I Summer 2017 D. Aranki, F. Maksimovic, V. Swamy Midterm 2. Exam Location: 100 Genetics & Plant Bio

Designing Information Devices and Systems I Fall 2017 Midterm 1. Exam Location: 155 Dwinelle

Designing Information Devices and Systems I Fall 2016 Babak Ayazifar, Vladimir Stojanovic Final Exam

Designing Information Devices and Systems I Fall 2015 Anant Sahai, Ali Niknejad Final Exam. Exam location: RSF Fieldhouse, Back Left, last SID 6, 8, 9

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Midterm 1

Math 110 (Fall 2018) Midterm II (Monday October 29, 12:10-1:00)

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you.

Discrete Mathematics and Probability Theory Summer 2014 James Cook Midterm 1

Discrete Mathematics and Probability Theory Summer 2015 Chung-Wei Lin Midterm 1

Discrete Mathematics and Probability Theory Fall 2014 Anant Sahai Midterm 1

CS 70 Discrete Mathematics and Probability Theory Fall 2016 Seshia and Walrand Midterm 1 Solutions

Exam 2 MAS 3105 Applied Linear Algebra, Spring 2018

Math 54 First Midterm Exam, Prof. Srivastava September 23, 2016, 4:10pm 5:00pm, 155 Dwinelle Hall.

Midterm 1. Your Exam Room: Name of Person Sitting on Your Left: Name of Person Sitting on Your Right: Name of Person Sitting in Front of You:

Prob. 1 Prob. 2 Prob. 3 Total

Math 51 First Exam October 19, 2017

MATH 33A LECTURE 3 PRACTICE MIDTERM I

Designing Information Devices and Systems I Fall 2016 Babak Ayazifar, Vladimir Stojanovic Homework 2

Designing Information Devices and Systems I Babak Ayazifar, Vladimir Stojanovic. This homework is due October 25, 2016, at 1PM.

Designing Information Devices and Systems I Fall 2015 Anant Sahai, Ali Niknejad Final Exam. Exam location: You re Done!!

Problem Score Problem Score 1 /12 6 /12 2 /12 7 /12 3 /12 8 /12 4 /12 9 /12 5 /12 10 /12 Total /120

Discrete Mathematics and Probability Theory Summer 2015 Chung-Wei Lin Midterm 2

Designing Information Devices and Systems I Spring 2016 Elad Alon, Babak Ayazifar Homework 12

No books, notes, any calculator, or electronic devices are allowed on this exam. Show all of your steps in each answer to receive a full credit.

MATH 1553, JANKOWSKI MIDTERM 2, SPRING 2018, LECTURE A

Designing Information Devices and Systems I Spring 2017 Babak Ayazifar, Vladimir Stojanovic Homework 2

Midterm Exam 1 Solution

2. (10 pts) How many vectors are in the null space of the matrix A = 0 1 1? (i). Zero. (iv). Three. (ii). One. (v).

Math 51 Midterm 1 July 6, 2016

Math 54 Second Midterm Exam, Prof. Srivastava October 31, 2016, 4:10pm 5:00pm, 155 Dwinelle Hall.

CS154 Final Examination

CS 170 Algorithms Spring 2009 David Wagner Final

MA 242 LINEAR ALGEBRA C1, Solutions to First Midterm Exam

Designing Information Devices and Systems I Fall 2016 Babak Ayazifar, Vladimir Stojanovic Final Exam. Exam location: 145 Dwinelle, last SID# 2

2018 Fall 2210Q Section 013 Midterm Exam II Solution

Prob. 1 Prob. 2 Prob. 3 Total

Designing Information Devices and Systems II Spring 2016 Anant Sahai and Michel Maharbiz Midterm 1

Question Total Score

EECS 70 Discrete Mathematics and Probability Theory Fall 2015 Walrand/Rao Final

Family Feud Review. Linear Algebra. October 22, 2013

Solutions to Math 51 First Exam October 13, 2015

CMPSCI 611 Advanced Algorithms Midterm Exam Fall 2015

Total 100

Shorts

Discrete Mathematics and Probability Theory Summer 2014 James Cook Final Exam

Midterm 2. Your Exam Room: Name of Person Sitting on Your Left: Name of Person Sitting on Your Right: Name of Person Sitting in Front of You:

Matrix multiplications that do row operations

MATH 2250 Exam 1 Solutions

Name: MATH 3195 :: Fall 2011 :: Exam 2. No document, no calculator, 1h00. Explanations and justifications are expected for full credit.

APPM 2360 Spring 2012 Exam 2 March 14,

Math 3A Winter 2016 Midterm

MATH 1553, FALL 2018 SAMPLE MIDTERM 2: 3.5 THROUGH 4.4

UNIVERSITY OF CALIFORNIA, BERKELEY College of Engineering Department of Electrical Engineering and Computer Sciences

2.3. VECTOR SPACES 25

Math 314H EXAM I. 1. (28 points) The row reduced echelon form of the augmented matrix for the system. is the matrix

Coding for Digital Communication and Beyond Fall 2013 Anant Sahai MT 1

Discrete Mathematics and Probability Theory Fall 2014 Anant Sahai Midterm 2

Math 221 Midterm Fall 2017 Section 104 Dijana Kreso

CS154 Final Examination

Problem Score Problem Score 1 /10 7 /10 2 /10 8 /10 3 /10 9 /10 4 /10 10 /10 5 /10 11 /10 6 /10 12 /10 Total /120

Midterm Exam 1 (Solutions)

Check that your exam contains 20 multiple-choice questions, numbered sequentially.

Designing Information Devices and Systems I Spring 2019 Midterm 2. Exam Location: Cory 521 (DSP)

Section 2 Equations and Inequalities

Chapter 3: Theory Review: Solutions Math 308 F Spring 2015

Class Note #14. In this class, we studied an algorithm for integer multiplication, which. 2 ) to θ(n

Week #4: Midterm 1 Review

MIDTERM EXAM SOLUTIONS

This is a closed book exam. No notes or calculators are permitted. We will drop your lowest scoring question for you.

DO NOT TURN PAGE TO START UNTIL TOLD TO DO SO.

MTH 310, Section 001 Abstract Algebra I and Number Theory. Sample Midterm 1

EECS 16A: Designing Information Devices and Systems I Department of Electrical Engineering and Computer Sciences UNIVERSITY OF CALIFORNIA, BERKELEY

COMPSCI 611 Advanced Algorithms Second Midterm Exam Fall 2017

EECS 16A Designing Information Devices and Systems I Spring 2016 Elad Alon, Babak Ayazifar Final. Exam location: Solutions

EECS 126 Probability and Random Processes University of California, Berkeley: Fall 2014 Kannan Ramchandran September 23, 2014.

September 23, Chp 3.notebook. 3Linear Systems. and Matrices. 3.1 Solve Linear Systems by Graphing

Introduction to Spring 2009 Artificial Intelligence Midterm Exam

Test 3, Linear Algebra

MTH 132 Solutions to Exam 2 Apr. 13th 2015

COMPSCI 611 Advanced Algorithms Second Midterm Exam Fall 2017

Math 116 Second Midterm November 13, 2017

Designing Information Devices and Systems I Fall 2018 Lecture Notes Note 6

The exam is closed book, closed calculator, and closed notes except your one-page crib sheet.

MATH 33A LECTURE 2 SOLUTIONS 1ST MIDTERM

Math 308 Midterm Answers and Comments July 18, Part A. Short answer questions

Transcription:

EECS 16A Designing Information Devices and Systems I Fall 2016 Babak Ayazifar, Vladimir Stojanovic Midterm 1 Exam location: 2050 VLSB, Last Name: Tong-Zzz PRINT your student ID: PRINT AND SIGN your name:, (last) (first) (signature) PRINT your Unix account login: ee16a- PRINT your discussion section and GSI (the one you attend): Name and SID of the person to your left: Name and SID of the person to your right: Name and SID of the person in front of you: Name and SID of the person behind you: Section 0: Pre-exam questions (3 points) 1. What other courses are you taking this term? (1 pt) 2. What activity do you really enjoy? Describe how it makes you feel. (2 pts) Do not turn this page until the proctor tells you to do so. You can work on Section 0 above before time starts. EECS 16A, Fall 2016, Midterm 1 1

Section 1 (18 points) Unless told otherwise, you must show work to get credit. There will be very little partial credit given in this section. 3. True/False (6 points, 1 point for each question) Answer each of the following questions by circling True or False. No work is necessary for credit on this part. (a) (True) (False) The pivot columns of matrix A forms a basis for the column space of A. (b) (True) (False) Let A be a 2 2 matrix, where A 2 = 0. Then A is the zero matrix. (c) (True) (False) Let A,B,C be some arbitrary matrices. Then, (AB)C = A(BC). (d) (True) (False) An M N matrix has at most N pivots. (e) (True) (False) AB = BA where A and B are N N matrices. (f) (True) (False) Applying any pair of 2 2 rotation matrices to an input vector is a commutative operation. EECS 16A, Fall 2016, Midterm 1 2

4. Proof (7 points) (a) Prove that if A x = 0 for some nonzero x, then the columns of A are linearly dependent. (b) Prove that if A 2 = 0 where A is an arbitrary square matrix, then the columns of A are linearly dependent. EECS 16A, Fall 2016, Midterm 1 3

5. Inverse of a Matrix (5 points) 5 4 2 Find the inverse of A, if it exists. If not, explain why. A = 1 2 1. 9 6 3 EECS 16A, Fall 2016, Midterm 1 4

Section 2 (55 points) 6. Directional Shovels (10 points) Kody and Nara were found exceptional at taking measurements to figure out light intensities, and they were both granted admission to a graduate school. Unfortunately, they both supported their new school s football team while they were playing against Berkeley and angry Berkeley fans found them and left them in a room at an unknown location under the ground. As compassionate people, Berkeley fans left some tools in the room that can help them escape. (a) Kody found a shovel in the room and figured that it can operate in the following directions: 1 0 { 0, 1 }. Is it possible for them to escape to Berkeley by digging in the given directions to a 1 1 3 0 point which is located at 2 given that they are at point 0? If so, find the scalars that multiply 5 0 the vectors such that they reach Berkeley. EECS 16A, Fall 2016, Midterm 1 5

(b) While Kody was busy planning his escape to Berkeley, Nara found a pick-axe in the room that can 2 1 3 operate in the following directions: { 2, 1, 2 }. Nara is convinced that the axe she found 0 2 5 is better, but Kody disagrees. Show that Kody s shovel can reach anywhere that Nara s pick-axe can. EECS 16A, Fall 2016, Midterm 1 6

7. Graph Majors (30 points) We d like to understand how engineering undergrads change their majors. For simplicity, there are three majors we ll look at: EECS, CS, and MechE. Let s assume that students can only be studying one major at a time, and must be studying one of these three majors. Let s also assume that once a week, students can choose to switch to another major, or stick with what they re studying. So, a discrete time step represents one week. k 3 0.5 0.4 0.3 0.3 EECS CS MechE k 4 k 2 k 1 0.2 At the start of week n, the number of EECS, CS, MechE students are x e [n], x c [n], and x m [n], respectively. k x e [n] 1 Let x[n] = x c [n]. Also let k = k 2 k x m [n] 3. k 4 (a) Write the transition matrix, A, such that x[n + 1] = A x[n]. EECS 16A, Fall 2016, Midterm 1 7

k 3 0.5 0.4 0.3 0.3 EECS CS MechE k 4 k 2 k 1 0.2 (b) Assume that from one week to the next, no students drop out or are enrolled to the system in other words, the total number of students is conserved. Write a system of four linear equations that relate k 1, k 2, k 3, k 4. Hint: you should use x e [n], x c [n], x m [n], x e [n + 1], x c [n + 1], x m [n + 1] in your answer. EECS 16A, Fall 2016, Midterm 1 8

k 3 0.5 0.4 0.3 0.3 EECS CS MechE k 4 k 2 k 1 0.2 100 150 (c) Let x[10] = 200 and x[11] = 100. Rewrite your four linear equations from part (b) in the form 200 250 T k = b, where k is the vector defined above and b is a vector of constants. Do not solve for k. EECS 16A, Fall 2016, Midterm 1 9

0.6 0.4 0.2 (d) Now let us redefine our graph transition matrix A such that A = 0.3 0.2 0.3. Given x[923], is it 0.1 0.4 0.5 possible to find x[2]? Give a mathematical justification and a brief explanation of how. Do not make any assumptions derived from previous parts of this problem. EECS 16A, Fall 2016, Midterm 1 10

0.2 0.1 0.3 120 (e) Let us redefine A as A = 0.4 0.7 0.1. Is x[5] = 120 a valid state for this system? Explain. Assume the states begin with some x[0], where x[0] is not the zero vector 0. Do not make any assumptions 0.4 0.2 0.6 260 derived from previous parts of the problem. EECS 16A, Fall 2016, Midterm 1 11

8. Transformation Basketball (15 points) Kevin Bancroft just joined the Column Space Warriors. In order to better learn how to cooperate with the team before the season starts, he and his teammates are practicing some basketball drills. (a) Kevin Bancroft and Draymond Blue-Gold are running a drill where they each have to run from a starting coordinate to an end coordinate. Kevin starts at point k s = [3 7] T and wants to go to point k e = [ 4 10] T. Draymond starts at point d s = [ 6 1] T and wants to go to point d e = [ 7 5] T. y 11 10 9 8 7 6 5 4 3 2 1 0 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 10x 1 d e d s k e 2 3 4 5 6 Each player must apply the same matrix transformation A on his starting point to reach reach his end point, such that Ak s = k e and Ad s = d e. Derive the transformation [ ] matrix A, if possible. We also know 1 a that the transformation matrix A is of the form A =, where a,b are real numbers. b 1 k s EECS 16A, Fall 2016, Midterm 1 12

(b) Steph Current noticed Kevin and Draymond running this drill, and decided to join them. For their next move, they will be using transformation matrix B. [ ] 2 2 B = 2 2 Describe what transformation matrix B performs to an input position in terms of rotations, scaling, and reflections. EECS 16A, Fall 2016, Midterm 1 13

(c) After a couple of drills, Kevin Bancroft came up with a new idea he decided to race his teammates across the court to see who is faster. Kevin starts at point k s = [ 2 1] T and ends at k e = [3 2] T. Steph starts at s s = [0 0] T and ends at s e = [ 6 3] T. Can this be represented by a transformation matrix? Briefly justify why or why not. y 5 0 6 5 4 3 2 1 0 1 2 3 4 5 6 x 1 s e k s 4 3 2 1 2 3 4 5 s s k e EECS 16A, Fall 2016, Midterm 1 14