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Bioinformatics
| Code: | CC4021 | Acronym: | CC4021 | Level: | 400 |
| Keywords | |
|---|---|
| Classification | Keyword |
| OFICIAL | Computer Science |
Instance: 2017/2018 - 2S 
| Active? | Yes |
| Web Page: | http:/dcc.dc.up.pt/~vsc/`bioinformatica.MCC |
| Responsible unit: | Department of Computer Science |
| Course/CS Responsible: | Master in Computer Science |
Cycles of Study/Courses
| Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
|---|---|---|---|---|---|---|---|
| M:CC | 22 | Study plan since 2014/2015 | 1 | - | 6 | 42 | 162 |
| MI:ERS | 27 | Plano Oficial desde ano letivo 2014 | 4 | - | 6 | 42 | 162 |
Teaching language
Suitable for English-speaking studentsObjectives
Our goal i ssto educate the student in the main concepts and techniques current;y used in the importnat area of compational biology. Ultimately, our goal is that the student wil be able to actually address new computationally significant tasks in the area.Learning outcomes and competences
In the end, it is intended that the student:
1 has familiarized himself with the basic concepts of Bioinformatics, with emphasis on Computational Molecular Biology;
2 Knows and understands the associated types and sources of data, as well as the most important computational problems;
3 Understands the most interesting and important algorithms, in particular on sequence alignment, phylogenetics and pattern recognition (on the genome, proteome and interaction networks).
4 Has a perspective on the most popular tools and of open research question in the area.
1 has familiarized himself with the basic concepts of Bioinformatics, with emphasis on Computational Molecular Biology;
2 Knows and understands the associated types and sources of data, as well as the most important computational problems;
3 Understands the most interesting and important algorithms, in particular on sequence alignment, phylogenetics and pattern recognition (on the genome, proteome and interaction networks).
4 Has a perspective on the most popular tools and of open research question in the area.
Working method
PresencialProgram
Computational Problems in Molecular Biology. Overview of Molecular Biology Fundamental Concepts. Pairwise and Multiple Sequence Alignment. Phylogenetic Trees. Probabilistic Models and Markov Chains. Systems Biology and Biological Networks Analysis. recent advances in BioinformaticsMandatory literature
Durbin Richard 070; Biological sequence analysis. ISBN: 0-521-62971-3Teaching methods and learning activities
Theoretical classes: expository, accompanied by examplesPractical classes: usage of existing tools, implementation of some algorithms and practical assignments support.
The evaluation will be distributed with final exam, with the following components:
Distributed component: weight 13
* Mini-Assignments: weight 6 (groups with a maximum of 2 students)
* Presentation/Revision of Scientific Article: weight 4 (individual)
Final Exam: weight 10
Evaluation Type
Distributed evaluation with final examAssessment Components
| designation | Weight (%) |
|---|---|
| Exame | 35,00 |
| Participação presencial | 65,00 |
| Total: | 100,00 |
Calculation formula of final grade
Sum from mini-projects, paper and exam.
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Page created on: 2024-10-06 at 20:12:15 | Acceptable Use Policy | Data Protection Policy | Complaint Portal
Page created on: 2024-10-06 at 20:12:15 | Acceptable Use Policy | Data Protection Policy | Complaint Portal