2. Create two class, a student class, and a course class, take advantage of the codes provided in the class slides and sample codes. python

3. Create a student object for every student in the UD.txt (you can use a loop for this)

4. Create 6 course objects:

5. After the student user login to their account as we have done in lab 2. Display the following:

When students choose option A, should display the following, where # is the actual number of students enrolled in the class.

Let the students add or drop a classes as they wish. When they choose E, exit the program.

6. For option D, show the courses in the student’s course list.

7. The hard part. Since your program will end when user chose option E. You need to keep track the classes been added and dropped by each students, and who are actually in the classes. Therefore, based on your experiences in lab 3 and 4, create a SI.txt (student info) to store the courses in each student’s course list. Create CI.txt (course info) to store all the students enrolled in each course. This will be executed in the background every time when the user chose option E: Exit. When you run your program, and create your course objects, this information needs to be read into each student and course object. When a student log into his or her account, the student should be able to see what courses is in the course list by chose option D. The number of students in each course also need to be displayed in Option A.

Student info

UD.txt

USERNAME,PASSWORD
sdd233,Pad231
dcf987, BHYW4fw
dgr803,Sb83d2d
mkr212,UNNHS322
lki065,dgw6234
ped332,9891ds
ytr876,dsid21kk
nmh223,3282jd3d2

Lubricants, Inc., produces a special kind of grease that is widely used by race car drivers. The grease is produced in two processing departments—Refining and Blending. Raw materials are introduced at various points in the Refining Department.

The following incomplete Work in Process account is available for the Refining Department for March:

The March 1 work in process inventory in the Refining Department consists of the following elements: materials, $7,200; direct labor, $3,800; and overhead, $20,800.

Costs incurred during March in the Blending Department were: materials used, $45,000; direct labor, $16,400; and overhead cost applied to production, $104,000.

Required:

1. Prepare journal entries to record the costs incurred in both the Refining Department and Blending Department during March. Key your entries to the items (a) through (g) below.

1. Raw materials used in production.
2. Direct labor costs incurred.
3. Manufacturing overhead costs incurred for the entire factory, $666,000. (Credit Accounts Payable.)
4. Manufacturing overhead was applied to production using a predetermined overhead rate.
5. Units that were complete with respect to processing in the Refining Department were transferred to the Blending Department, $692,000.
6. Units that were complete with respect to processing in the Blending Department were transferred to Finished Goods, $780,000.
7. Completed units were sold on account, $1,380,000. The Cost of Goods Sold was $630,000.

2. Post the journal entries from (1) above to T-accounts. The following account balances existed at the beginning of March. (The beginning balance in the Refining Department’s Work in Process is given in the T-account shown above.)

C programing.
Ask user to enter a word on sting and print all possible combinations. (please don't use printer) Using recursion.
example
ask user to input
user: "ABC"
output:
ABC
ACB
BAC
BCA
CAB
CBA

A monatomic ideal gas is heated while at a constant volume of 1.00 * 10^-3 m^3, using a 10 watt heater. The pressure of the gas increases by 5.0 * 10^4 Pa. How long was the heater on?

1. Say 5% of circuit boards tested by a manufacturer are defective. Let Y be the number of defective boards in a random sample of size n = 25.

   1. What kind of random variable is Y ? In particular, write Y ~Distribution(p, n), where you fill in the correct distribution name and parameters p and n.

   2. Determine P (Y ≥ 5).

   3. DetermineP(1≤Y ≤4).

   4. What is the probability that none of the 25 boards are defective?

1. Rejecting the null hypothesis that the population slope is equal to zero or no relationship and concluding that the relationship between x and y is significant does not enable one to conclude that a cause-and-effect relationship is present between x and y. Explain why.

2. Discuss the statistics that must be evaluated when reviewing the regression analysis output. Provide examples of what the values represent and an explanation of why they are important.

What to do

This assignment is going to be pretty simple - we're just going compute frequency counts of certain colors in certain ranges (Histogram of the image).

Because there is no natural way of segregating RGB color ranges, we usually do this color by color. So you'll be computing frequency counts for individual color components individually.

The expectation is that you will write a function as described by a python function signature below (while you are free to do whatever you want, I think doing future parts of the assignment will be easier if the code is structured this way) -

Think about what happens when one is comparing images of different sizes -

• Lets say A is an 4 by 4 image where half of the colors are gray (rgb(128, 128, 128)), and the other half is white (rgb(255, 255, 255))
• When you compute frequencies for Red component, you'll find that 128 occurs 8 times and 255 occurs 8 times also.
• Lets say B is an 8 by 8 image where half of the colors are gray (rgb(128, 128, 128)), and the other half is white (rgb(255, 255, 255))
• When you compute frequencies for Red component, you'll find that 128 occurs 32 times and 255 occurs 32 times also.
• This would mean that images that are basically the same in terms of colors (both half gray and white), end up with different histograms.

To make sure similar images have similar histograms regardless of image size, it is good to normalise frequencies by dividing each frequency count by the total number of pixel in the image.

• After normalization, frequency for red 128 in A would be 8 / (4 * 4) = 0.5
• After normalization, frequency for red 128 in B would be 32 / (8 * 8) = 0.5
• You will be given an image as a text file in the format we've been using so far - assignment_files.zip

How much heat (in kj) is needed to convert 866g of ice at -15*C to steam at 146*C? (Note: The specific heat of ice is 2.03J/g*C and the specific heat of steam is 1.99J/g*C. Delta fus for H20 is 6.01 kj/mol and Hvap is 40.79kj/mol)

As everybody knows that Black objects are black because almost all the light that falls on them is absorbed into the material. Little or no light is reflected back toward our eyes, therefore we see black.

It is also known that, since black objects absorbs all the light they ultimately become heated-up..!

If we see the snow in visible light, It appears to be White. But in the Infrared, it appears to be black. Does that mean that the Snow will feel warm in Infrared lights?

Describe two real life companies that you believe has a "High Fixed Cost Structure" and one that you believe has a "Low Fixed Cost Structure". Explain why you came to this conclusion. Then describe what would happen to your companies' net income if

a) in one year they were able to double their sales

b) in one year their sales would drop by 50%.

Select/identify 20 programming languages

1)Draw a graph, a chart or a table that shows the history/timeline of the development of the chosen 20
programming languages over years.

2)Identify the domain (area) that each one of the 20 programming languages is used in. The well known
programming domains are:
a. Scientific Applications
b. Business Applications
c. Artificial Intelligence
d. Systems Programming
e. Web Software

Calculate the pH during the titration of 25.00 mL of 0.1000 M LiOH(aq) with 0.1000 M HI(aq) after 24.2 mL of the acid have been added. Explain.

1. How do the following terms relate to bonds?
   1. Indenture
   2. Registered form
   3. Sinking fund
   4. Call provision
   5. Protective covenant
   6. Zero coupon
   7. Bid-ask spread

2. Use the data provided below and calculate:

1. Nominal GNP for 2014 and 2015.
2. Assuming 2014 is the base year, calculate price index for 2015.
3. Real GNP for 2014 and 2015.
4. Inflation rate from 2014 to 2015.
5. Real and nominal rates of economic growth from 2014 to 2015. (Note, rate of change is measured by “absolute change” from one year to another divided by what the GNP was in the previous year.

Consider a GaAs p-n junction diode. The p-type acceptor is Zn, with a dopant concentration of 2 x 10^17 cm^-3 and the n-tpye donor is Si, with a dopant concentration of 5 x 10^16 cm^-3. Working at temp= 300 K.

a) Calculate the Fermi Level in the p-type material. Assume that the hole density is equal to the density of the p-dopant atoms.

b) Performing the same calculation for the n-type material gives a fermi level of 1.363 eV. What is the zero-bias built- in potential at the junction?

c) Calculate the width of the depletion zone for this case