Extra Credit Assignment #1
Due 9/15 by 11:59 pm
Go to Mathworks Matlab Onramp and create an account. Complete Part 10 - "Review Problems" (Project - Electricity Usage) and (Project - Audio Frequency).
Save your progress report and put it in a repository called 'ME3255-Extra_Credit'.
Extra Credit Assignment #2
Due 11/1 by 11:59 pm
Find a dartboard e.g. Sports Bar. And tack the
following polar_graph.pdf to the dartboard. Throw 10 darts (that hit
the board) and record the radius and angle that the dart hit the target in a csv file
in your 'ME3255-Extra_Credit' repository called data.csv. Organize the csv file in
columns with your netid on each row as such,
| user | radius (cm) | angle (deg) |
|---|---|---|
| rcc02007 | 1 | 30 |
| rcc02007 | ... | ... |
| rcc02007 | ... | ... |
Extra Credit Assignment #3
Due 11/17 by 11:59pm
Nonlinear Regression - Logistic Regression
logistic regression of Challenger O-ring failure
Use the Temperature and failure data from the Challenger O-rings
challenger_oring.csv. Your independent variable is temperature and your dependent
variable is failure (1=fail, 0=pass). Create a function called cost_logistic.m that
takes the vector a, and independent variable x and dependent variable y. Use the
function, 
where 
. Use the cost function,
and gradient
where 
is the k-th value of temperature raised to the i-th power (0, and 1)
a. edit cost_logistic.m so that the output is [J,grad] or [cost, gradient]
b. use the following code to solve for a0 and a1
% Set options for fminunc
options = optimset('GradObj', 'on', 'MaxIter', 400);
% Run fminunc to obtain the optimal theta
% This function will return theta and the cost
[theta, cost] = ...
fminunc(@(a)(costFunction(a, x, y)), initial_a, options);c. plot the data and the best-fit logistic regression model
plot(x,y, x, sigma(a(1)+a(2)*x))