Teaching material

1. Introduction to the course
2. Representation of numbers
3. Information and coding
4. Introduction to logic
5. Logic: A closer look
6. Introduction to algorithms (GCD, Fibonacci, and related stuff)
7. Notes on computational complexity (Prof. Breno)
8. Syllabus

References

• Dino Mandrioli et al, "Informatica - arte e mestiere", MacGrow Hill Education, quarta edizione
• Robert Sedgewick, "Algorithms in C++ (Parts 1-4)," Third Edition, 1998 Addison-Wesley (good reference for learning how to code)
• Richard Johnsonbaugh, "Discrete Mathematics," 2009 Prentice Hall (basic principles, ideal for curious people who want something more ...)
• John Nilt, Dennis Rohatyn, and Achille Varzi, "Logic," Second Edition, Shaum's Outlines, 1998
  • Marco Gori, Paolo Nesi, Elio Pasca, "Pascal e C", 1996 McGraw-Hill (for your first steps on easy algorithms and programs)
• Links utili