Academic year2016/17
CourseBIOMEDICAL ENGINEERING
Code688II
Credits6
PeriodSemester 1
LanguageItalian
| Modules | Area | Type | Hours | Teacher(s) |
| BIOINFORMATICA | ING-INF/05 | LEZIONI | 60 | |
Programma non disponibile nella lingua selezionata
Knowledge
The course is aimed at properly developing the skills of future Biomedical Engineers in the Computer Science field, addressing the specific area of Bioinformatics.
In the course, students will acquire the expertise required to participate in design, implementation and integration of heterogeneous software systems in the area of Bioinformatics and Computational Biology, developing also programming skills in the Python scripting language.
Assessment criteria of knowledge
The student will be assessed on his/her demonstrated ability to design and develop a self-contained software system in the areas of Bioinformatics.
The practical test is aimed at assessing the basic programming skills of the student.
The oral exams are devoted to assess the comprehension level of the course topics.
Methods:
- Final oral exam
- Final laboratory practical demonstration
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- individual study
- group work
- Laboratory work
Attendance: Advised
Teaching methods:
Syllabus
Introduction to Bioinformatics (Basics of Molecular Biology, Computational Complexity, Bio Data Banks).
Programming in Python (basics, modules, functional and OO programming, Numpy, Biopython)
Sequence Analysis (Comparison of sequences, alignment scoring, optimal alignment/algorithms, BLAST, Markov models of molecular evolution, MSA)
Structural Computational Biology (protein models, maths of rigid body transformation, structural comparison metrics, Force Fields and Molecular Dynamics, solution of motion equations, conformation prediction and toy models)
Bibliography
Students are recommended to study on personal class notes, although proper book titles would be indicated during lectures.
All the recommended material is reported on the course module website: http://www.iet.unipi.it/a.bechini/bioinfo/BioInfo_en.html
Updated: 14/11/2016 17:27
