📅 2023-11-13 — Session: Curriculum Design and Visualization Enhancements
🕒 19:30–20:20
🏷️ Labels: Curriculum, Education, Visualization, Python, Graphviz
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session focused on refining the curriculum design for a computer science program and enhancing data visualization techniques for educational planning.
Key Activities
- Discussed the placement and prerequisites for ‘Introducción a las Bases de Datos’ and ‘Aprendizaje Automático’ within the curriculum to ensure logical sequencing and foundational knowledge.
- Justified the removal of ‘Advanced Analysis’ and ‘Introduction to Natural Sciences Elective’ from the Data Science Bachelor’s program, emphasizing course relevance and applicability.
- Outlined implementation steps for an unspecified process, likely related to curriculum changes or visualization enhancements.
- Developed a strategy for color-coding nodes in graph visualizations by semester using Python and Matplotlib, enhancing clarity and understanding of course sequencing.
- Provided a method for converting RGBA colors to hexadecimal for Graphviz integration, facilitating better visualization compatibility.
Achievements
- Clarified curriculum adjustments and their justifications, aligning courses with educational goals.
- Enhanced visualization techniques for curriculum mapping, improving the clarity of educational planning tools.
Pending Tasks
- Further implementation of the outlined process steps and verification of the visualization enhancements in a practical setting.