Section outline
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Typical course examination (for students attending the lectures) is performed in 2 stages: midterm assignments and an oral presentation. Midterms waive the final project.
Midterm Assignment
Midterm assignments consist in a very short presentation (5 minutes per person) to be given in front of the class, presenting the key/most-interesting aspects of 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.
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 1 month, with the last one being performed the day of the oral examination.
Oral Exam
The oral examination will test knowledge of the course contents (models, algorithms and applications).
Grading
The final exam vote \(G\) is determined as
\( G = G_O + \sum_{i=1}^{4} G_{M}^{i} \)
where
- \( G_O \in [1,21] \) is the oral grade
- \( G_{M}^i \in [0,3] \) is the grade for the i-th midterm
Alternative Exam - Non attending students
Working students, those not attending lectures, those who have failed or are unsatisfied with midterms can complete the course by delivering a final project and an oral exam. Contact the instructor by mail to arrange project topics and examination dates.
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 20 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