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★★★★★
Pesada

40% of the final grade depends on a group project, with students randomly assigned to groups. The professor refuses to disclose individual group project grades, making it difficult to understand how the grade was determined. The workload of the groupwork is significantly higher than in other courses. The lectures have very dense lecture slides, which reach around 100 slides per lecture. The exam consists of two open-ended opinion questions, and the professor explicitly stated that “if I find your response boring, you will get a terrible grade,” making the grading criteria seem highly subjective. Getting a grade above 17/20 is very difficult, with only one student achieving a 19 and there were no 20s. I recommend starting the group project in the first week, as it requires a substantial amount of work. Use PowerPoint rather than Word to develop the project, as the best-graded projects were submitted as slide decks.

Sustentabilidade Financeira

Nova SBE

ontem

★★★★★
Moderada

Theoretical Professor Rodrigo Bruno explains the concepts very well and has no issue answering any question you might have during the lecture. The content is also pretty interesting, I would have only liked for it to be more Kubernetes/DevOps/CI/CD focused. At least to me, those were the most interesting parts of the course and they were either not even evaluated (in the mini-tests) or skimmed over faster than I would have liked. Labs Very well explained and detailed. It is not mandatory to go and there were no assessments made during these. Our TA seemed to not be fully on par with what the project statement asked though. Mini-tests 5, multiple-choice, lasting 20m each and done on Moodle and on every Monday (but the first and last of the quarter) before class started. Not too hard, you were evaluated on the material of the previous two theoretical lectures plus a paper you had to read yourself. 12-13/16 questions were about the lectures 3-4/16 were about the paper (There were never questions regarding the evaluation part of each paper, at least I cannot recall any.) NOTE: From what I was told, two year ago there were no exams or mini-tests, only a project. Last year, take-home lab mini-tests were added and graded. This year, the take home mini-tests were substituted for in-class theoretical mini-tests. Next year there might be a mandatory exam and no mini-tests, who knows, just beware of the evaluation methods for your curricular year when choosing this subject. Project The goal was to make a recommendation app, which has to be micro-service based and had to have AI integrated into it (for example, by having Ollama run an LLM and the application user prompting the LLM). We also had to deploy the application (the services, databases, NGINX/Haproxy and Ollama) with Terraform, Ansible and Kubernetes to GCP, which was the most interesting part. In the end you also had to have an advanced feature, they gave you 4 options: Persistent State - you had to save the database content persistently somewhere not on the GCP VMs, and load it when the app started CI/CD - every commit would redeploy the app or service Autoscaling kubernetes pods based on load DevSecOps You also had to create a 10m video and publish it on Youtube explaining the project: its components, how they were connected, how deployment was done and the advanced feature you chose. The video link would then be added to the report you uploaded into Fenix.

Plataformas de Suporte a IA

IST

anteontem

★★★★★
Leve

Theoretical Classes Professor Paulo Carreira makes classes really enjoyable, he is pretty enthusiastic. I also felt like the slides were enough to study for the exam.\ Regardless, there are notes in https://leicmybox.org/MEIC/1%C2%BA%20Semestre/AID/Resumos/ and in https://github.com/ana-mc-almeida/meic/tree/main/courses/dai. Additionally, at least in Tagus, for half the quarter the theoretical classes would end way early, sometimes we would only have 40m classes whereas the class is supposed to be 2h (or 1h:40m) long, which is always nice.\ \ Labs\ The labs are VERY easy to follow and have pretty detailed instructions. They are also not mandatory. Professor Paulo Carreira (who was the one present in my lab classes) was mostly on his computer for the whole duration of the lab and did not speak unless you had some issue with the lab or a question, which he answered without issues. \ Exam This year the exam was an overview of what you did in the project and why, the exam was basically only about the project. There were questions about how you would merge data, clean it, load it into dimensions and into the fact table, which choices you made and why and so on, the only outlier was probably the Edit Distance question. Oh and yes, questions regarding how you work with a specific tool such as PSW (to create the cube), PRD(to create reports), Saiku(to explore the data) and Hop(to create the ETL pipeline) and what components you would use in each tool and where you would drag stuff came up in the exam. Some topics like NoSQL, BigData and Data Privacy also did not come up in the exam.\ \ Project Pretty straight forward, similar to the labs themselves. Be careful though because even though a professor might give you an hint on how to do things, it does not mean different TAs have the same opinion, we had a TA give us an answer and the Lectures professor saying the opposite. Be sure you use all the fact tables for all the analysis you will hand in, do not limit yourself to using a single one. Speaking about handing in stuff and deliverables, I found it weird that we had to hand in files explaining what queries we did to answer a specific project statement question, their respective chart and what conclusions we obtained, but you had to, additionally, hand in a 60-100 slide long powerpoint with screenshots, the same exact queries and graphs and the same explanation of the answers you obtained. It simply felt like a useless duplicate most of the time. IMO it has way too many deliverables.

Análise e Integração de Dados

IST

anteontem

★★★★★
Leve

Workload light, for the quizzes it's easy to get 20 (weight 20% if total grade). Final exam (80% of final grade) it's harder than mock exam, but it's very manageable. There is no material to study, but you have to create your own notes with AI. Teacher is very engaging.

Statistical Analysis

Nova SBE

anteontem

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JD
João Duarte
IST

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