Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
For the year 2008/2009 No calendar yet available
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrollment FAQs
Academic staff
Mastrogiacomo Elisa
Todorov Velitchko
velitchko.todorov@univr.itStudy Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
The Study plan 2008/2009 will be available by April 2nd. While waiting for it to be published, consult the Study plan for the current academic year at the following link.
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Algorithms - ALGORITMI PER BIOINFORMATICA (2009/2010)
Teaching code
4S02709
Teacher
Credits
6
Also offered in courses:
- Algorithms and Data Structures of the course Bachelor's degree in Bioinformatics (until 2008-2009)
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
1st Semester dal Oct 1, 2009 al Jan 31, 2010.
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
Objective of the course is to teach the basics in design and analysis of algorithms with emphasis on problems of interests for bioinformatics.
Program
Algorithms and complexity: big-O notation. Iterative vs. recursive algorithms. Sorting algorithms. Data structures. Exhaustive search. Greedy algorithms. Dynamic programming algorithms. Divide-and-conquer algorithms. Graph algorithms.
Introduction to NP-completeness.
Author | Title | Publishing house | Year | ISBN | Notes |
---|---|---|---|---|---|
Neil C. Jones, Pavel A. Pevzner | An introduction to bioinformatics algorithms (Edizione 1) | MIT Press | 2004 | 0-262-10106-8 | Testo adottato |
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein | Introduction to Algorithms (Edizione 3) | MIT Press | 2009 | 978-0-262-53305-8 | Testo complementare |
T. Cormen, C. Leiserson, R. Rivest, C. Stein | Introduzione agli Algoritmi e Strutture Dati (Edizione 2) | McGraw-Hill | 2005 | 88-386-6251-7 | Traduzione italiana della II edizione del testo complementare |
Examination Methods
The grade in Algorithms for Bioinformatics (AB) is worth 50% of the grade in the Algorithms class.
AB via multiple tests (only for the instance of the exam at the end of the course): AB = 50% C1 + 50% C2, where C1 and C2 are written tests in class.
AB via single test (for all instances of the exam): AB = 100% E, where E is a written test, whose difficulty equals that of C1+C2.
If a student tries both C1+C2 and E, the vote determined by C1+C2 is cancelled as soon as E is handed in for grading. There is no choosing of grades.
Type D and Type F activities
Training offer to be defined
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and soon also via the Univr app.
Graduation
List of theses and work experience proposals
Stage | Research area |
---|---|
Correlated mutations | Various topics |
Attendance
As stated in the Teaching Regulations for the A.Y. 2022/2023, attendance at the course of study is not mandatory.