Skills Reference

Comprehensive teaching guides for each programming skill covered in CS2000. Each guide includes what to teach, common student mistakes, and practical examples.

Learn to design functions with proper type annotations, docstrings, and test cases using Pyret's function design pattern.

Topics covered:

Type annotationsFunction designDocstringsTest casesExamples and where clauses

Master table operations including creation, filtering, sorting, and transforming data using Pyret's table functions.

Topics covered:

Table creationload-tablefilter-withorder-bybuild-columntransform-column

Learn to use for-each loops and mutable variables to process lists element by element in Pyret.

Topics covered:

Mutable variables (var)for each loopsList iterationAccumulation patterns

Define and work with custom data types using data definitions and cases expressions in Pyret.

Topics covered:

data definitionscases expressionsStructured dataConditional dataVariants

Implement recursive functions over lists using the base case and recursive case pattern in Pyret.

Topics covered:

Recursive functionsList structureBase casesRecursive casesList processing

Design tree data structures and implement recursive tree traversal algorithms in Pyret.

Topics covered:

Tree data structuresRecursive traversalBinary treesN-ary trees

Understand variable scoping rules, global vs local variables, and scope differences between Pyret and Python.

Topics covered:

Variable scopeGlobal variablesLocal variablesFunction scopeScope resolution

Design Python functions with type hints, docstrings, and proper testing practices.

Topics covered:

Python functionsType hintsDocstringsTestingFunction signatures

Learn Python's for loops and iteration patterns for processing lists.

Topics covered:

Python loopsIteration patternsLocal variables

Understand Python's object references, aliasing effects, and how mutation works with shared data.

Topics covered:

Object referencesAliasingMutationShared dataVariable assignment vs modification

Learn to identify privacy concerns and develop appropriate mitigation strategies in computational problem-solving contexts.

Topics covered:

Privacy analysisData protectionPrivacy threatsMitigation strategiesEthical computing

Learn to identify stakeholders and analyze conflicts between their values and interests in computational problem-solving contexts.

Topics covered:

Stakeholder analysisValue-sensitive designStakeholder matrixValues conflictsEthical computing

Skills Reference

Skill 1: Designing Basic Functions (Pyret)

Skill 2: Construct/Transform Tables (Pyret)

Skill 3: Iteration with Lists (Pyret)

Skill 4: Structured & Conditional Data (Pyret)

Skill 5: Recursion with Lists (Pyret)

Skill 6: Recursion with Trees (Pyret)

Skill 7: Variable Scope (Pyret & Python)

Skill 8: Basic Function Design (Python)

Skill 9: Iteration with Lists (Python)

Skill 10: Aliasing & Mutation (Python)

Skill 11: Identifying Privacy Issues in Problem Formulation

Skill 12: Identifying Stakeholders in Problem Formulation