Programación Didáctica

Artificial Intelligence

0. Introduction to AI
1. Learning: Biological Systems and AI
- Learning in Biological Systems: Decisions and Free Will
- Learning, AI, Programming, and Robots
2. Sensors, typology and applications
3. Fundamentals of AI
4. Basic techniques of AI
5. Automatic information processing
- Automatic information processing
6. Equity and inclusion in AI systems. Biases in AI
- Equity and inclusion in AI systems
- Biases in AI
7. Social and ethical implications of artificial intelligence
- Social and ethical implications of artificial intelligence

Programming

0. Introduction to Programming
1. Interpretation of reality through problem modeling
2. Abstraction, sequencing, algorithmic and its representation with natural language and flow diagrams
3. Pattern detection and reuse. Generalization
- None
4. Sustainability and inclusion as software design requirements
- None
5. Program flow control structures
- None
6. Variables, constants, conditions and operators
- None
7. Introduction to programming in high-level languages. Types of languages. Syntax and semantics
- None
8. Mobile device application programming
- None
9. Software evaluation and maintenance
- None
10. Software licenses. Free software and proprietary software
- None
11. Controller card simulators
- None
12. Initiative, self-confidence and metacognition in the software development learning process
- None
Project Rock Paper Scissors Lizard Spock

Robotics

0. Introduction to Robotics
1. Robots: Types, Degrees of Freedom, and Basic Technical Characteristics
- Item
2. Robot assembly
- None
3. Control of robotic systems
- Introduction to mBlock
4. Sensors, actuators and controllers
- Introduction
- Sensors
- Actuators
- Controllers
- mBot
5. Loading and execution of algorithms in robots
- None
Project (I): Robot Research
Project (II): mBot Robot Programming

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Sensors applications

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