OVERVIEW

The course "Introduction to Digital Engineering" provides an overview of the main disciplines in digital engineering, including computer science, artificial intelligence, electronics, electrical communications, systems engineering, and automation. Through lectures given by experts in the field, first-year computer engineering students will acquire a solid foundation of knowledge to stimulate their interest and understanding of the fundamental subjects, laying the groundwork for further studies and advanced research in their future master's degree program.

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to:

• Provide an introductory overview of the main disciplines of digital engineering.
• Stimulate students' interest in fundamental subjects such as computer science, artificial intelligence, electronics, electrical communications, systems engineering, and automation.
• Engage students in advanced studies and research in their future master's degree program.

Introduction to Core Disciplines:

• Provide foundational knowledge in computer science, artificial intelligence, electronics, electrical communications, systems engineering, and automation.
• Highlight the interconnectedness of these disciplines within the broader context of digital engineering.

Skill Development:

• Develop critical thinking and problem-solving skills through practical applications and examples.
• Enhance technical proficiency in basic concepts and methodologies used in digital engineering.

Research Orientation:

• Introduce students to research opportunities and advancements in digital engineering.
• Promote a research-oriented mindset to prepare for future academic and professional activities.

Foundation for Advanced Studies:

• Establish a knowledge base that supports further studies and specializations in the master's degree program.
• Provide insights into advanced topics and trends shaping the future of digital engineering.

Projects and Research:

• Develop projects and research based on cooperative learning techniques and peer learning.

Learning Outcomes

Upon completion of the course, students will be able to:

Understand and Explain Key Concepts:

• Describe the basic principles and applications of computer science, artificial intelligence, electronics, electrical communications, systems engineering, and automation.
• Recognize the importance and impact of these disciplines on modern technology and society.

Apply Fundamental Skills:

• Demonstrate practical skills in programming, circuit design, system modeling, and basic AI techniques.
• Solve introductory-level problems related to the various fields within digital engineering.

Engage in Research and Development:

• Identify potential areas for research and innovation within digital engineering.
• Develop a preliminary understanding of how to approach research questions and projects.

Prepare for Advanced Studies:

• Articulate how the knowledge gained in this course will support their future academic endeavors in the master's degree program.
• Show readiness for more advanced coursework and specialized study in digital engineering.

Additional Competencies

Additionally, students will develop:

• Advanced technical literacy skills
• Enhanced personal development skills
• Advanced interpersonal skills
• Proficiency in advanced project development
• Competence in foundational project management skills

TEACHERS AND EXAM BOARD

Exam Board

DAVIDE ANGUITA (President)

ANDREA SCIARRONE

ROBERTO SACILE (President Substitute)

MERIEM GUERAR (Substitute)

CECILIA CATERINA PASQUALE (Substitute)

SILVIA SIRI (Substitute)

ENRICO ZERO (Substitute)

EXAMS

Exam schedule