requisite_processor 0.1.5

Module for working with course requisite data and checking requisite satisfaciton.

Requisite Processor

The RequisiteProcessor class is designed to evaluate whether the prerequisite rules for a course are met given a list of completed courses and test score data.

Prerequisite Data

This module can make use of any arbitrary prerequisite information given that it is formatted correctly. For more information on the necessary structure as well as the latest prerequsite data for UNM courses, see this repo:

https://lobogit.unm.edu/unm-data-analytics/requisite-data#

Usage

Initialization

Initialize the RequisiteProcessor with a dictionary of prerequisite rules.

from requisite_processor.requisite_processor import RequisiteProcessor

prerequisite_rules = {
    "202310": {
        "MATH 1512": {
            "type": "course",
            "course": {"code": "MATH 1234"},
            "minimum_course_grade": "C"
        }
    }
}

processor = RequisiteProcessor(prerequisite_rules)

Processor Methods

The RequisiteProcessor contains the following methods: availabile_academic_periods: Returns a list of all academic periods in the dataset.

academic_periods = processor.availabile_academic_periods
print(academic_periods)  # Output: ['202310', '202380']

latest_available_academic_period: Returns the most recent academic period.

latest_period = processor.latest_available_academic_period
print(latest_period)  # Output: '202380'

check_satisfaction: Checks if a student satisfies the prerequisites for a course in a specific academic period.

Parameters:

• course_code (str): Course to check prerequisites for.
• courses_taken (list[dict], optional): List of completed courses and grades. Defaults to [].
• test_scores (dict, optional): Test scores dictionary. Defaults to {}.
• academic_period (str, optional): Academic period. Defaults to the latest available.
• ignore_tests (bool, optional): Ignore test requirements. Defaults to False.
• ignore_grades (bool, optional): Ignore grade requirements. Defaults to False.

Returns: RequisiteCheckResult object. The result of the prerequisite check.

See below for example usage.

Example Prerequisite Satisfaction Check

courses_taken = [{"code": "MATH 1250", "grade": "B"}]
test_scores = {"A01": 28}

result = processor.check_satisfaction(
    course_code="MATH 1512",
    courses_taken=courses_taken,
    test_scores=test_scores
)

print(result.satisfied)  # Output: True or False

Future Work

• Write tests
• Allow for more customization in how requisites are processed.
• Write additional helper functions such as string representation of requirements, flattend requirements and more.