(click to insert) (2020/2021)

Course code
4S008228
Credits
12
Coordinator
Gloria Menegaz
Teaching is organised as follows:
Unit Credits Academic sector Period Academic staff
SEGNALI E IMMAGINI I 6 INF/01-INFORMATICS See the unit page See the unit page
RICONOSCIMENTO E RECUPERO DELL'INFORMAZIONE PER BIOINFORMATICA 6 INF/01-INFORMATICS See the unit page See the unit page

Learning outcomes

The course aims at providing the students with the fundamentals of signal and image processing with emphasis on aspects that are relevant in the field of bioinformatics at both theoretical and practical levels. At the end of the course the students will be able to analyze the typical signal and image processing problems encountered in bioinformatics as well as to devise and implement suitable solutions grounding on the knowledge gained in the theory sessions and using the main available toolboxes.

Syllabus

Please refer to the program of the two parts.

Assessment methods and criteria

To pass the exam, the student must prove:
- the capability to clearly and concisely describe the different components of a Pattern Recognition System
- the capability to analise, understand and describe a Pattern Recognition system (or a given part of it) relative to a biological problem
- the ability to analyze the typical signal and image processing problems encountered in bioinformatics as well as to devise and implement suitable solutions grounding on the knowledge gained in the theory sessions and using the main available toolboxes;
- the ability to describe the concepts in a clear and exhaustive way;
- the ability to apply the acquired knowledge to solve application scenarios described by means of questions and exercises.

The exam of INFORMATION RETRIEVAL AND SIGNAL AND IMAGE PROCESSING FOR BIOINFORMATICS consists of two parts:
i) a written exam of INFORMATION RETRIEVAL containing questions on topics presented during the course (15 points available). The (i) written part is passed if the grade is greater or equal to 9;
ii) a written exam of SIGNAL AND IMAGE PROCESSING consisting in questions concerning the topics of both the theory and the laboratory sessions, with respective weight of 2/3 and 1/3, and one exercise (15 punti). In case the exam would be in teleconference mode the exam would be be in oral form.

The two parts of the exam can be passed separately: the final grade is the sum of the two grades.
The total exam is passed if each of the two grades is greater or equal to 9. Each evaluation is maintained valid for the whole academic year.

Reference books
Author Title Publisher Year ISBN Note
Rafael C. Gonzalez and Richard E. Woods Digital Image Processing (Edizione 4) Prentice Hall College Div 2017 0133356728
B.P. Lathi Signal Processing and Linear Systems Berkeley-Cambridge 1998 0-941413-35-7
Alan C. Bovik The Essential Guide to Image Processing (Edizione 2009) Academic Press 2009 ISBN 9780080922515