CSC 1001 - Problem Solving for Programming

• Draft software implementation requirements from non-technical descriptions.
• Decompose problems into a sequence of logical steps, identifying patterns such as iteration, conditional logic, and state management.
• Select and use appropriate data types to effectively model and manipulate real-world information.
• Evaluate complex expressions using arithmetic, relational, and Boolean operators to control program flow.
• Collaboratively design and articulate algorithmic solutions using high-level planning tools, including pseudocode, flowcharts, and state diagrams.
• Trace the execution of algorithms, manually tracking variables and control flow to predict output and identify mismatches between desired and predicted output.
• Evaluate modular software solutions in Python using fundamental programming constructs, including variables, control structures (conditionals and loops), and functions.
• Utilize AI Agents to design and implement code and tests based on structured requirements. 
• Apply systematic testing and debugging strategies to identify and resolve errors in code both manually and using generative AI tools.
• Design functions and procedures that use parameters and return values to modularize code, improve reusability, and manage complexity.
• Process data from files and create interactive and scriptable tools.
• Synthesize course concepts to design, implement, and test a complete software solution as part of a collaborative team, breaking the project into manageable tasks.

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