Hw5 Study guides, Class notes & Summaries
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HW_5 Dynamics
- Exam (elaborations) • 5 pages • 2023
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hw5 with solutions
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University of California, Berkeley CS 61C61C HW5
- Exam (elaborations) • 6 pages • 2021
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Q1 Single-Cycle Datapath 4 Points I think we've had enough of Datapath in Lecture and Discussion (or not), but here, have some more anyways! And no, this homework is not optional. We have reprodu ced the RISC-V single-cycle pipeline here. Using the following delays for the rest of the problem. Assume any component not listed is negligible in calculations. ELEMENT REGISTER CLK-TO-Q REGISTER SETUP MUX ALU MEMREAD MEM WRITE REGFILE READ REGFILE Parameter Delay (ps) 30 20 25 200 250 200 150 20 Q1.1...
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Communication Systems - HW5 Notes
- Class notes • 5 pages • 2023
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ELEC 3400. COMMUNICATION SYSTEMS: Pulse code modulation, 
line coding, information rate, equalization, amplitude modulation, angle modulation, noise in communication systems.
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HW5_Deferred Annuities and More Complicated Equivalence Calculations_EE
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A deferred annuity is an annuity that does not begin making payments until a specified date in the future. In engineering economy, deferred annuities are often used to evaluate investments in which cash inflows or outflows are expected to occur at a future date. Engineers use present worth, future worth, annual worth, and nominal rate factors to calculate the value of deferred annuities and compare them to other investment options. 
 
In more complicated equivalence calculations, engineers may u...
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STAT 1031 Biostatistics HW5 QUESTIONS WITH VERIFIED ANSWERS
- Exam (elaborations) • 5 pages • 2021
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20 BME 3060: Introduction to Biostatistics 
Homework #5 
Download the data ‘studentdata’ from the package ‘LearnBayes.’ 
1. Create a separate column labelled as ‘HoursSlept’ in the ‘studentdata’ folder recording 
how many hours each student slept the previous night. Obtain summary statistics of all 
data in the enhanced ‘studentdata.’ 3 points 
Code: 
library(LearnBayes) 
data("studentdata") 
studentdata$HoursSlept= (studentdata$WakeUp- studentdata$ToSleep) 
dim(studentdata...
As you read this, a fellow student has made another $4.70
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HW5_SOL ECE 468ECE 468 & 573 Problem Set 5: Dataflow analysis and Loop transformations
- Exam (elaborations) • 7 pages • 2022
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ECE 468 & 573 
Problem Set 5: Dataflow analysis and Loop transformations 
Loop transformations 
For the following problems, consider the code below: 
1. X = 2; 
2. Y = 10; 
3. Y = X * Y; 
4. A = Y * X - 2 * Y; 
5. B = X / 2 + Y; 
6. Z = 10; 
7. if (B < Z) goto 12 
8. D = Y - Z * Y; 
9. Q = Y - 8; 
10. Z = Z - Q; 
11. goto 7; 
12. X = X + A*Y; 
13. if (X < Z*100) goto 4; 
14. Y = D; 
15. halt; 
1. Draw the CFG for the code above. Identify the loops in the code. 
Answer: 
1 
1. X = 2; 
2. Y ...
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block-v1_GTx+ISYE6501x+2T2020a+type@openassessment
- Other • 45 pages • 2021
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Contents 
 
ISYE 6501 HW5 
 
Question 8.1	2 
Question 8.2	2 
Discussion of the data and disclaimer about my results	2 
Start of code for Question 8.2	4 
Investigating scaling the data	5 
Investigating the unscaled data	15 
Looking at regression on unscaled data	23 
Evaluation of scaled vs. unscaled data	23 
Determining which predictors to use in my regression model using p values	24 
Choosing predictors based on Coefficient estimates from scaled data	24 
predictions based on different models	2...
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LATEST University of California, Berkeley - CS 70hw5-sol
- Exam (elaborations) • 9 pages • 2021
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CS 70 Discrete Mathematics and Probability Theory 
Fall 2019 Alistair Sinclair and Yun S. Song HW 5 
Note: This homework consists of two parts. The first part (questions 1-4) will be graded and will 
determine your score for this homework. The second part (questions 5-6) will be graded if you 
submit them, but will not affect your homework score in any way. You are strongly advised to 
attempt all the questions in the first part. You should attempt the problems in the second part only 
if you ar...
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block-v1_GTx+ISYE6501x+2T2020a+type@openassessment
- Other • 45 pages • 2021
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- $16.49
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Contents 
 
ISYE 6501 HW5 
 
Question 8.1	2 
Question 8.2	2 
Discussion of the data and disclaimer about my results	2 
Start of code for Question 8.2	4 
Investigating scaling the data	5 
Investigating the unscaled data	15 
Looking at regression on unscaled data	23 
Evaluation of scaled vs. unscaled data	23 
Determining which predictors to use in my regression model using p values	24 
Choosing predictors based on Coefficient estimates from scaled data	24 
predictions based on different models	2...
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block-v1_GTx+ISYE6501x+2T2020a+type@openassessment
- Other • 45 pages • 2021
-
- $16.49
- + learn more
Contents 
 
ISYE 6501 HW5 
 
Question 8.1	2 
Question 8.2	2 
Discussion of the data and disclaimer about my results	2 
Start of code for Question 8.2	4 
Investigating scaling the data	5 
Investigating the unscaled data	15 
Looking at regression on unscaled data	23 
Evaluation of scaled vs. unscaled data	23 
Determining which predictors to use in my regression model using p values	24 
Choosing predictors based on Coefficient estimates from scaled data	24 
predictions based on different models	2...
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