Collaborative Computer Science & coding lessons with creativity

The Student and Tutor discussed various AI-driven project ideas, focusing heavily on a data governance solution. The Tutor provided guidance on the implications of AI on intellectual property and suggested using secure cloud platforms for development. They outlined a technical plan for building a Retrieval Augmented Generation (RAG) model locally for prototyping, and the Student was tasked with gathering relevant policy documents as homework.

The session focused on introducing Python lists and their operations. The Student reviewed previous concepts like loops and basic data types before learning how to create, access, add, and remove elements from lists. Practice involved creating a treasure hunt game and simulating a supermarket trolley, with a homework assignment to apply lists for comparing subject marks.

The session began with a review of Python variables and data types. The Tutor then introduced and practiced conditional statements (`if`, `elif`, `else`) and `for` loops with the Student, who applied these concepts by writing code in VS Code. The class concluded with a quiz on the learned topics, and future sessions will focus on UI design and game building.

The Student and Tutor practiced reducing Boolean expressions using 4-variable K-maps, focusing on correct cell indexing, applying grouping rules for Sum of Products (SOP) expressions, and incorporating "don't care" terms for optimal circuit reduction. The Student was advised to practice more on 4-variable K-maps and prepare for 5 and 6-variable K-maps in the next session.

Student and Tutor reviewed fundamental Python programming concepts, including syntax, variables, data types (integers, floats, strings), and variable naming rules. They applied these concepts by building an interactive 'guess my favorite animal' game, incorporating user input, conditional logic, and string manipulation for case-insensitivity and whitespace removal. The session also covered installing and using the PIL (Pillow) library to display images based on game outcomes, involving significant troubleshooting of Python environment variables and interpreter versions. For homework, the student was asked to add the image display functionality for the 'lose' condition.

The session provided an introductory Python lesson where the Student learned to develop a basic "random guess" game. The Tutor guided the Student through fundamental Python commands for random number generation, user input, and conditional logic. Future sessions will build upon these basics by incorporating UI design for more complex game projects.