📅 2024-10-17 — Session: Development of Academic Curriculum Plans
🕒 15:30–15:45
🏷️ Labels: Curriculum Development, Education, Machine Learning, Data Science, AI, Planning
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to develop and outline comprehensive academic curriculum plans across various domains, focusing on fulfilling specific academic hour requirements.
Key Activities
- Estrategias para Cumplir con Requerimiento de Horas Académicas: Explored combinations of academic subjects to meet a 640-hour requirement, emphasizing AI-focused topics.
- Advanced Machine Learning and Deep Learning Curriculum: Outlined a curriculum for advanced machine learning and deep learning techniques, totaling 640 hours.
- Plan de Estudios en Ciencia de Datos Aplicada a Biología y Neurociencia: Proposed a 680-hour curriculum at the intersection of machine learning, biology, and neuroscience.
- Plan de Estudios en Optimización y Logística con IA: Designed a curriculum for applying optimization and machine learning in industrial and logistical settings.
- Plan de Estudios para Procesamiento de Imágenes y Simulación: Proposed a 640-hour curriculum focused on image processing and simulation techniques.
- Interdisciplinary Data Science Plan with Behavioral Sciences: Suggested a curriculum for applying AI and data science to behavioral sciences, totaling 640 hours.
- Plan de Estudios para Visualización y Gestión de Datos: Proposed a curriculum for advanced data visualization and management, totaling 640 hours.
Achievements
- Developed multiple curriculum plans across diverse fields, each tailored to specific educational goals and hour requirements.
Pending Tasks
- Review and finalize each curriculum plan for implementation.
- Align curriculum plans with institutional requirements and standards.