Program in Python:
![credit_points = [6, 12, 18, 24, 30, 36, 42, 48] course_fee = [$4,737.50, $9,475.00, $14,212.50, $18,950, $23,687.50,](http://img.homeworklib.com/questions/7d9fcf70-a6d3-11eb-beb0-3dd3a0331f1e.png?x-oss-process=image/resize,w_560)
Output:
32 is not in list
$23,687.50
$37,900.00
$4,737.50
4 is not in list
54 is not in list
N.B. Whether you face any problem then share with me in the comment section, I'll happy to help you.
credit_points = [6, 12, 18, 24, 30, 36, 42, 48] course_fee = ['$4,737.50', '$9,475.00', $14,212.50', '$18,950', $23,687.50', $28,425.00', $33,162.50', '$37,900.00'] def calcE3001Fees (creditPoints): # Function returns the fees flag = False for i in range(len(credit_points)): if credit_points[i] == creditPoints: flag = True break if flag is True: return course_fee[i] else: return str(creditPoints)+' is not in list' print(calcE3001Fees (32) print(calcE3001Fees (30)) print(calcE3001Fees (48)) print(calcE3001Fees (6)) print(calcE3001Fees(4)) print(calcE3001Fees (54))
/////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
credit_points = [6, 12, 18, 24, 30, 36, 42, 48]
course_fee = ['$4,737.50', '$9,475.00', '$14,212.50','$18,950',
'$23,687.50', '$28,425.00', '$33,162.50', '$37,900.00']
function calcE3001Fees(creditPoints)
{
// Function returns the fees
let flag = false
for(var i = 0; i < credit_points.length; ++i)
{
if(credit_points[i] ===
creditPoints)
{
flag =
true;
break;
}
}
if(flag == true)
{
return course_fee[i];
}
else
{
return creditPoints + ' is not in
list'
}
}
console.log(calcE3001Fees(32))
console.log(calcE3001Fees(30))
console.log(calcE3001Fees(48))
console.log(calcE3001Fees(6))
console.log(calcE3001Fees(4))
console.log(calcE3001Fees(54))
Faculty of Engineering A standard full time year of study is equivalent to 8 credit points...
Consider the following table of data points:
Using least squares fitting, find the polynomial Q(x) of degree
2 that fits the data points given in the table above. Approximate
f(0.3) using Q(0.3).
f(x) i Xi 0 0.000 1.00000 1 0.125 0.98450 2 0.250 0.93941 0.375 0.86882 4 0.500 0.77880 5 0.625 0.67663 6 0.750 0.56978 0.875 0.46504 8 1.000 0.36788
f(x) i Xi 0 0.000 1.00000 1 0.125 0.98450 2 0.250 0.93941 0.375 0.86882 4 0.500 0.77880 5 0.625 0.67663...
Consider the following table of data points:
Using least squares fitting, find the polynomial Q(x) of degree
2 that fits the data points given in the table above. Approximate
f(0.3) using Q(0.3).
Use P(x) = Ax2+Bx +C to find 3 equations and then
find A,B,C.
f(x) i Xi 0 0.000 1.00000 1 0.125 0.98450 2 0.250 0.93941 0.375 0.86882 4 0.500 0.77880 5 0.625 0.67663 6 0.750 0.56978 0.875 0.46504 8 1.000 0.36788
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