Applied Algorithm Thinking

Instructions from my teacher **Important note: **We suggest that you use Colab to work on the Jupyter notebook that you will submit as your final project on mangebac:

do on Jupyter notebook.

Overview. This assignment will allow you to practice algorithmic thinking and basic Python programming with several small-scale problems. As you solve each problem, follow the steps of algorithmic thinking as outlined below.

Use this template to complete the assignment.

Step 1: Algorithm Description. Include a step-by-step algorithm accompanied by either a flowchart or a Pseudo code to develop and express your steps that accomplish the given task . Remember, you have to be very explicit and clear to make sure one can actually achieve the task following your directions. Describe the input(s), output(s) and the process of the algorithm.

NOTE: To import a picture, for example, “image.png” to your Jupyter notebook, you can use the following block of code from IPython.display import ImageImage(“my_image.png”)

Step 2: Program Code – Implementation: **Implement the algorithm in Python using the basic structures we covered in class (feel free to use additional ones):
User input
Conditional execution
Data structures: Lists, strings, tuples, sets, dictionaries

Step 3: Program Testing: **Create a Test Plan with enough test cases that demonstrate your code works as intended. Explain how you used these test cases in your comments.

Step 4: Program Documentation: **Be sure to comment thoroughly so that it is clear that you understand what every line of the code is intended to accomplish.

The Problems
Problem 1. **Write a function to calculate the cost of a trip to a theme park, which includes the cost of the hotel, car rental, and park tickets.
a. Define a function to calculate the cost of the hotel. The function should allow the user to choose one of the room types below and enter the length of their stay. The function then calculates the cost accordingly.
Standard room: 150$ per night
Deluxe room: 180$ per night
Suite: 220$ per night
b. Define another function to calculate the cost of renting a car.
Rental cars charge

100$ up to 24 hours and 60$ added for each additional day.
c. Define a third function to calculate the cost of parking at the theme park. The cost of parking is 175$ for the first day and 50$ for each additional day.
d. Your final function should calculate the total cost of the theme park trip by calling the three functions above and summing their results.

Problem 2.

Write a function that asks the user to enter their exam scores in their History, Math, Language Arts, and Social Science classes and save the scores in a dictionary.
{“History”: [56, 75, 25], “Math”: [75, 85, 95, 65], “Language Arts”: [43, 32, 25], “Social Studies”: [90, 100, 95, 80]}
Return the user the two following dictionaries:
Calculate the average score for each class and save it in a new dictionary.
Next convert the average scores into letter grades based on the following scale and save the letter grades in another dictionary.
score > 90: A

75 < score <= 90: B 60 < score <= 75: C score <= 60: D Problem 3. Write a function that accepts positive integers until the user enters “quit” and splits the numbers into three lists: the first one contains all the numbers, the second one contains all even numbers, and the third one contains all odd numbers. The function should return all three lists as well as the minimum and the maximum numbers in each list. Your function should prompt the user to enter a positive number if they enter a negative value. Your assignment submission needs to include the following resources: A .pdf file must be the first resource and it will include all the answers to the questions above, including all the python code you produce. Make sure that you submit a neat, clearly presented, and easy-to-read .pdf. The .pdf should be submitted under the name file “student_name.pdf”. Your second resource must be a single Jupyter Notebook with extension .ipynb (please see Figure below) and named “student_name.ipynb”. Zip your .pdf and .ipynb files. ***You need to submit two files: (1) pdf file from the first step and (2) the zip file from the second step. Learning Outcomes Added ComputationalTools: Apply the computational terminology and tools appropriately in different quantitative contexts. AlgorithmicStrategies: Demonstrate the ability to think logically and systematically about problems, breaking them down into a clear, ordered set of concrete steps that could be implemented by a machine. CompProgramDesign: Generate working programs in a computer language that can solve computational problems; find and fix bugs that appear in them. QuantCommunication: Communicate with a clear and precise style that is suited to an appropriate audience. Produce code that can be easily read and understood by others.