You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Creative Computing and Virtual Reality
  4. Elements of Artificial Intelligence and Data Science

Elements of Artificial Intelligence and Data Science

Code 16791
Year 2
Semester S2
ECTS Credits 6
Workload PL(30H)/T(30H)
Scientific area ENGENHARIA INFORMÁTICA
Entry requirements N/A
Learning outcomes The main general objective of this curricular unit is the following: 1) 1) To promote the learning of some fundamental concepts and techniques of Artificial Intelligence, namely the notion of agent and planning and search techniques. This course also has the purpose of familiarizing students with aspects of programming in Python. Regarding the specific objectives, and at the end of the semester, students should be able to: 1) Use the Python language at a basic level. 2) Develop reactive and/or deliberative agents at a basic level, making use of knowledge representation techniques, research and planning for agents.
Syllabus 1) Introduction to Artificial Intelligence: What is Artificial Intelligence? Historical framework. Ethics in Artificial Intelligence. Artificial Intelligence Paradigms. 2) Agents: The notion of agent; agent architectures; reactive, deliberative and hybrid agents. 3) Formalisms for knowledge representation: First order logic, semantic networks and their variants. 4) Problem solving and search methods: Uninformed search (in breadth, uniform cost, in depth, in depth with limit, in depth with increasing limit); greedy informed research, A* and its variants; search by constraint propagation; search for successive improvements. 5) Learning from data: types of learning, learning with trees, regression and classification with linear models.
Main Bibliography 1) The teacher’s classroom slides. 2) S. Russell and P. Norvig (2021), Artificial Intelligence - A Modern Approach (4th edition), Pearson. 3) E. Costa & A. Simões - Inteligência Artificial: Fundamentos e Aplicações, 2ª ed., FCA, 2008. 4) Summerfield, M., Programming in Python 3: A Complete Introduction to the Python Language, 2nd ed., Addison-Wesley Professional, 2009. 5) Downey, Allen B., Think Python: How to Think Like a Computer Scientist, 1st edition, O'Reilly Media, 2012.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2024-04-19

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.