Why computational thinking is a life skill in Intro to Computing - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to show the first step in computational thinking: breaking a problem into smaller parts.

Intro to Computing

def solve_problem(problem):
    parts = problem[1]  # Break problem into parts
    return parts

Drag options to blanks, or click blank then click option'

A.split()

B.join()

C.append()

D.remove()

Attempts:

3 left

💡 Hint

Common Mistakes

Using .join() which combines parts instead of splitting.

Using .append() which adds to a list, not splitting.

Breaking a problem into smaller parts is like splitting a big task into manageable pieces. The .split() method divides a string into parts.

2fill in blank

medium

Complete the code to show pattern recognition by checking if two parts are equal.

Intro to Computing

def check_pattern(part1, part2):
    if part1 [1] part2:
        return True
    else:
        return False

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A==

B<

C>

D!=

Attempts:

3 left

💡 Hint

Common Mistakes

Using != which checks for inequality.

Using > or < which compare sizes, not equality.

Pattern recognition involves finding similarities. Using == checks if two parts are the same.

3fill in blank

hard

Fix the error in the code that shows abstraction by hiding details in a function.

Intro to Computing

def calculate_area(radius):
    area = 3.14 * radius [1] 2
    return area

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A+

B**

C*

D//

Attempts:

3 left

💡 Hint

Common Mistakes

Using * which multiplies but does not square.

Using + which adds instead of exponentiation.

Abstraction hides details. Calculating area uses radius squared, which is radius ** 2 in Python.

4fill in blank

hard

Fill both blanks to complete the code that shows algorithm design by looping through steps.

Intro to Computing

steps = ['Understand', 'Plan', 'Execute', 'Review']
for step [1] steps:
    print(step [2] '!')

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Ain

B+

C*

Don

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'on' instead of 'in' in the loop.

Using '*' which repeats strings instead of joining.

Algorithm design means following steps. The for loop uses in to go through each step. Adding '!' uses + to join strings.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that models computational thinking steps with conditions.

Intro to Computing

steps = ['Break', 'Recognize', 'Abstract', 'Design']
result = { [1] : [2] for step in steps if len(step) [3] 6 }

Drag options to blanks, or click blank then click option'

Astep.upper()

Bstep

C<

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using '>' instead of '<' which changes the condition.

Using step.lower() which is not required here.

This dictionary comprehension models computational thinking steps. It uses {step.upper()} as keys, step as values, and includes steps with length less than 6 using <.