Curriculum Design and Visualization Enhancements

• Day: 2023-11-13
• Time: 19:30 to 20:20
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Curriculum, Education, Visualization, Python, Graphviz

Description

Session Goal

The session aimed to refine the computer science curriculum by determining course placement and removing irrelevant courses, as well as enhancing [[data visualization]] techniques for educational planning.

Key Activities

• Curriculum Placement: Discussed the strategic placement of ‘Introducción a las Bases de Datos’ and ‘Aprendizaje Automático’ within the curriculum, focusing on foundational knowledge and logical sequencing.
• Course Removal Justifications: Reflected on and documented the reasons for removing ‘Advanced Analysis’ and ‘Introduction to Natural Sciences Elective’ from the Data Science program to maintain relevance.
• Graph Visualization Enhancements: Developed a method for coloring nodes in course graphs by semester using Python and Matplotlib, and converted RGBA colors to hexadecimal for Graphviz integration.

Achievements

• Established a clear framework for course placement and removal in the curriculum.
• Successfully implemented a color coding system for graph visualization to enhance clarity and planning.

Pending Tasks

• Further validation of course placement and removal decisions with stakeholders.
• Complete integration of color-coded visualization into existing educational planning tools.

Evidence

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