Section outline
-
Typical course examination (for students attending the lectures) is performed in 2 stages: midterm assignments and an oral exam. Midterms waive the final project.
Midterm Assignment
Midterms consist in short assignments involving with one of the following tasks:
- A quick and dirty (but working) implementation of a simple pattern recognition algorithm
- A
report concerning the experience of installing and running a demo
application realized using available deep learning and machine learning
libraries
- A summary of a recent research paper on topics/models related to the course content.
The midterms can consist in either the delivery of code (e.g. colab notebook) or a short slide deck (no more than 10 slides) presenting the key/most-interesting aspects of the assignment.
Students might be given some amount of freedom in the choice of assignments, pending a reasonable choice of the topic. The assignments will roughly be scheduled every 3/4 weeks.
Oral Exam
The oral examination will test knowledge of the course contents (models, algorithms and applications).
Exam Grading (with Midterms)
The final exam vote is given by the oral grade. The midterms only wave the final project but do not contribute to the grade. In other words you can only fail or pass a midterm. You need to pass all midterms in order to succesfully wave the final project.
Alternative Exam Modality (No Midterms / Non attending students)
Working students, those not attending lectures, those who have failed midterms or simply do not wish to do them, can complete the course by delivering a final project and an oral exam. Final project topics will be released in the final weeks of the course: contact the instructor by mail to arrange choice of the topics once these are published.
The final project concerns preparing a report on a topic relevant to the course content or the realization of a software implementing a non-trivial learning model and/or a PR application relevant for the course. The content of the final project will be discussed in front of the instructor and anybody interested during the oral examination. Students are expected to prepare slides for a 15 minutes presentation which should summarize the ideas, models and results in the report. The exposition should demonstrate a solid understanding of the main ideas in the report.
Grade for this exam modality is determined as
\( G = 0.5 \cdot (G_P + G_O) \)
where \( G_P \in [1,32] \) is the project grade and \( G_O \in [1,30] \) is the oral grade