| Código |
17019
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| Ano |
1
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| Semestre |
L0
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| Créditos ECTS |
1
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| Carga Horária |
O (14H)/TP(14H)
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| Área Científica |
Informática
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Learning outcomes |
The course "Introduction to ChatGPT in Public Administration" aims to provide students with a comprehensive understanding of how to apply generative AI tools in administrative contexts. By the end of the course, students should be able to:
• Understand and use techniques for writing and improving formal and informal texts.
• Apply ChatGPT to create content for digital media and administrative communications.
• Use translation tools effectively for different cultural and professional contexts.
• Extract and analyze data from spreadsheets using ChatGPT.
• Integrate AI tools with software like Excel and PowerPoint to enhance productivity.
• Demonstrate mastery of learned techniques through practical projects.
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Syllabus |
1. Introduction to Artificial Intelligence and ChatGPT
- Basic concepts of artificial intelligence.
- Practical applications of ChatGPT in public administration.
- Limitations and potentials of generative AI.
2. Assisted Writing of Formal Texts
- Writing administrative documents, emails, and announcements.
- Adjusting tone and style for different audiences.
- Revising and refining texts with ChatGPT's help.
3. Creating Posts and News for Social Media and Digital Platforms
- Generating content for social media engagement.
- Storytelling techniques and adapting messages for diverse audiences.
- Using complementary tools for image and video creation with AI.
- Personalizing messages based on audience characteristics.
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Teaching Methodologies and Assessment Criteria |
Teaching Methods:
• Theoretical lectures: To introduce basic concepts and AI applications.
• Practical sessions: To develop specific skills using ChatGPT.
• Individual and group projects: To apply acquired knowledge in practical situations.
• Tutoring sessions: To clarify doubts and guide practical activities.
Assessment Methods and Criteria:
The evaluation will consist of:
• Practical exercises (20%): Tasks performed during class to consolidate the content.
• Final project (80%): Developing a practical presentation combining all elements covered in the course, evaluated for clarity, creativity, and proper application of techniques.
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Main Bibliography |
1. Books and Articles:
o Brown, T., Mann, B., Ryder, N., et al. (2020). Language Models are Few-Shot Learners. OpenAI. Available at: https://arxiv.org/abs/2005.14165.
o Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. 4th edition. Pearson.
o Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30, 681-694.
o Carraro, F. (2023). Inteligência Artificial e ChatGPT: Da Revolução dos Modelos de IA Generativa à Engenharia de Prompt. Casa do Código.
2. Online Resources:
o OpenAI. ChatGPT Documentation and Guides. Available at: OpenAI.
o Microsoft. Excel Tutorials and Support. Available at: Microsoft Excel.
o Microsoft PowerPoint Designer. Automated Design Resources for Presentations. Available at: PowerPoint Designer.
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| Language |
Portuguese. Tutorial support is available in English.
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