Língua Natural

LN6 ECTSP1Página da Cadeira
Feedback(17)
4.4
Carga de trabalho
Leve
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Feedback dos Alunos

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2025/2026
Carga:Leve

há 3 meses

Este aluno não deixou comentário

Carga:Muito leve

há 3 meses

Este aluno não deixou comentário

Carga:Moderada

há 3 meses

Este aluno não deixou comentário

Carga:Leve

há 3 meses

Este aluno não deixou comentário

Carga:Leve

há 6 meses

Este aluno não deixou comentário

Carga:Leve

há 6 meses

Este aluno não deixou comentário

Carga:Leve

há 6 meses

Very interesting topic, with a professor that explains well. There is some lack of depth in some subjects but otherwise very informative. Workload is very manageable, compared with other courses, and not at all hard to do. Going to classes is the best way to be aware of the topics and the professor makes an effort to ensure people are engaged. Highly recommend.

Carga:Leve

há 7 meses

Tests can be a little vague as the teacher doesn't provide previous tests. But overall very easy and informative.

Carga:Leve

há 7 meses

Este aluno não deixou comentário

Carga:Leve

há 7 meses

Este aluno não deixou comentário

Carga:Moderada

há 7 meses

The content is interesting, but what really makes this course worthwhile is the professor who teaches the theory classes—Luísa Coheur. The “passionate” way she teaches her classes and cares about inspiring her students is commendable. From a pedagogical standpoint, she is perhaps one of the best professors at IST. Well-prepared classes with up-to-date content is what you can expect.

Assessment

  • No mandatory exam
  • 2 Maps with 10 multiple-choice questions to be discounted and the rest open-ended (accessible, but the teacher does not provide MAPs from previous years)
  • 1 video about a...
Carga:Leve

há 7 meses

Este aluno não deixou comentário

Carga:Moderada

há 7 meses

The professor is very fun in the lectures. TAs are super helpful Project is well balanced (difficulty wise)

2024/2025
Carga:Leve

há 2 meses

Não apreciei muito os conteúdos da cadeira, pois não esperava que focasse quase na totalidade em modelos de inteligência artificial. No entanto, a professora é espetacular, muito simpática e interativa com os alunos, e explica muito bem. Os slides são um pouco incompletos e os exercícios das práticas por vezes não têm muita qualidade. A avaliação consiste em dois projetos, os quais não gostei particularmente de fazer, e dois testes. Em exame de recurso é permitido melhorar cada teste individualmente, o que é excelente.

Carga:Moderada

há 11 meses

Overall Impression

This was one of my favorite courses, I highly recommend it. You’ll learn very interesting topics in a practical and engaging way.

Teacher

The course is taught entirely by Professor Luísa, both the theoretical lectures and lab sessions. She is one of the best teachers in Computer Science:

  • Truly passionate about teaching and helping students
  • Deeply understands the material
  • Presents complex topics in a clear and engaging way

Lectures and Labs

  • The theoretical lectures are very useful. I highly recommend attending them and they...

ano passado

I recommend this course 100%, even if the subject area isn't completely to your liking. If you're looking for a course to take, this is a good option.

Teaching Staff

Professor Luísa is excellent, genuinely concerned about students, and clearly passionate about what she teaches!

Lectures

Theoretical lectures are given by Professor Luísa and are quite useful.

The labs consist of exercises and project support, and really help consolidate the topics covered in the theoretical classes.

Evaluation Methods

The...

As avaliações abaixo deste ponto podem estar desatualizadas. O conteúdo, os métodos de ensino e os requisitos da cadeira podem ter mudado desde então.

2020/2021Pré-MEPP

há 4 anos

Easy course.

Teaching Staff

The course is divided into three parts. The first and last sections are taught by Professor Luísa, who is cool. The second part is taught by Professor Mamede, who is one of the worst instructors ever.

Course Content

You learn some interesting things, but there's significant overlap with other SI courses in my opinion.

The second part covers automata called Transducers, Parsing algorithms, and algorithms used for completing sentences. Though...