Métodos de Ensino e Avaliações

• Lectures: Covering foundational concepts of digital marketing and AI applications. • Practical Workshops: Hands-on sessions using AI tools for data analysis, content creation, and campaign optimization. • Case Studies: Analyzing successful digital marketing campaigns that utilize AI. • Group Projects: Collaborative projects to design and present a digital marketing campaign incorporating AI insights. Assessment - normal examination period: - 40% in class tests during the semester (minimum score 8 points) - 10% individual assessment based on class participation and engagement - 50% group work Assesment - repeat examination period: 100% retake exam (minimum score 10 points)