Module 4 Objective Mapping

Thomas J. Kennedy

Contents:
1 Module Objectives
2 Lectures & Objectives
3 Course Level Objectives

1 Module Objectives

You will notice quite a few mappings of Module 4 objectives (row) to Course Objectives (column).

# Module Objective 1 2 3 4 5 6.A 6.B 7.A 7.B 8 9 10 11 12 13 14 15
1 Perform basic string manipulations (e.g., extract a substring). ✓ ✓ ✓
2 Perform basic string comparison using built-in functions (e.g., startswith). ✓ ✓ ✓
3 Extract data from user input (through input). ✓ ✓
4 Write code that outputs to the command line. ✓ ✓
5 Make use of f-string syntax to format output (e.g., alignment, decimal precision, number of digits). ✓ ✓ ✓
6 Discuss the benefits of f-string syntax over the use of .format and % for formatting. ✓ ✓ ✓

2 Lectures & Objectives

The following table shows lectures (rows) vs Module Level Objectives (columns).

Lecture 1 2 3 4 5 6
Module 4 Objective Mapping
String Manipulation & Comparison ✓ ✓
User Input & Standard Input ✓ ✓
Basic F-Strings ✓ ✓ ✓ ✓
Module 4 Summary

3 Course Level Objectives

The course objectives are listed in section 2.4 of the syllabus and reproduced in this document for reference.

A student who successfully completes this course will be able to (in Python):

  1. Run a program consisting of a single file and containing a main function.
  2. Run a program consisting of multiple modules and containing a main function.
  3. Organize code into multiple modules.
  4. Write tests for a module.
  5. Apply the basics of test-driven development through PyTest and/or unittest.
  6. Make use of the various loops (for and while)
    1. Compare the various loops (for and while)
    2. Choose the most appropriate loop (for or while) for a given problem
  7. Make use of the conditional blocks (i.e., if, if-else, and if-else-if-else).
    1. Compare the various conditional blocks (i.e., if, if-else, and if-else-if-else)
    2. Construct the appropriate conditional block (i.e., if, if-else, and if-else-if-else) for a given problem.
  8. Test and write functions.
  9. Design ADTs in accordance with the Class Checklist.
  10. Discuss when polymorphism is appropriate.
  11. Discuss when it is appropriate to utilize dataclasses, classes, and enums.
  12. Write code that utilizes dunder functions.
  13. Refactor code to follow best practices (e.g., PEP 8 and PEP 20).
  14. Apply code linting tools (e.g., pylint and black) to write idiomatic (Pythonic) code.
  15. Discuss the various NumPy np.array mechanics (e.g., broadcasting).
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