12 ECTS; 3º Ano, 1º Semestre, 80,0 PL + 28,0 TP + 25,0 OT , Cód. 814361.
Lecturer
- João Manuel Mourão Patrício (2)
- Sandra Maria Gonçalves Vilas Boas Jardim (1)(2)
- Fernando Sérgio Hortas Rodrigues (2)
- Renato Eduardo Silva Panda (2)
(1) Lead Professor
(2) Teaching Professor
Prerequisites
Knowledge of Linear Algebra, Integral/Differential Calculus, Programming (Python), Machine Learning.
Objectives
1. Understand Artificial Intelligence research and development methodologies
2. Document and develop practical work in Artificial Intelligence
3. Participate in the Artificial Intelligence event
Program
1. Research and development methodologies in Artificial Intelligence
2. Documentation tools: Latex, Office, OpenOffice
3. Software versioning system: git
4. Definition of work. Definition of the execution phases and practices to be carried out. Definition of documentation methodologies to be
followed
5. Templates for communicating work results
6. Design of the implementation plan and methodologies to be used in the practical work
7. Organizing an AI event
Evaluation Methodology
In all assessment periods:
(75%) AI practical work.
(25%) Participation in the organization of an AI event.
The final grade results from the weighted average of the grades obtained in each of the defined assessment components.
In all periods, the assessment of the practical work involves its presentation and discussion, with this discussion accounting for 50% of the practical work grade.
Passing the course implies attendance in at least 2/3 of the PL typology classes. Students with special status should contact the professor responsible for the course unit in order to define a weekly schedule for monitoring the work.
Passing the course unit implies a final grade equal to or greater than 10 points.
Bibliography
- --, -. A definir consoante os projetos a desenvolver. (Vol. --). (pp. -----). --: --
- Kottwitz, S. (2021). LaTeX Beginner's Guide: Create visually appealing texts, articles, and books for business and science using LaTeX. (Vol. 1). (pp. 1---). UK: Packt Publishing
- Liberty , J. e Galloway, J. (2021). Git for Programmers: Master Git for effective implementation of version control for your programming projects. (Vol. 1). (pp. 1---). UK: Packt Publishing
Teaching Method
Theoretical-practical classes: expository for the transmission of content and collaborative preparation for holding an AI event, as well as a seminar. Laboratory classes: design and implementation of a practical AI project.
Software used in class
Overleaf (collaborative writing of scientific documents)
Google Colab (computational development)
