Difference between revisions of "Learning outcome"

(Learning outcomes)
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== Learning outcomes ==
 
== Learning outcomes ==
After completing the course, the students should be able to:
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On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
* describe the contents and propeties of the most important bioinformatical databases, perform text- and sequence-based searches, and analyse and discuss the results in light of molecular biological knowledge
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* explain the major steps in pairwise and multiple sequence alignment, explain the principle for, and execute pairwise sequence alignment by dynamic programming
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Knowledge
* explain the major features of evolution of genes and proteins and explain how different methods can be used to construct phylogenetic trees.
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* explain the major features of methods for modelling protein structures and use programs for visualizing and analysing such structures.
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- The student can explain which type of data is available from the most common protein sequence and structure databases (UniProt, GenBank, Protein Data Bank, CATH).
* give examples of methods for describing and analysing genes, genomes and gene expression
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* define and discuss central concepts used in systems biology
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- The candidate can explain the theories underlying the most common methods for sequence searches and sequence alignments, and in particular knows the principle and main steps for pairwise and multiple sequence alignments;
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- The student can explain and is able to apply the main steps of dynamic programing for/to simple alignments of short sequences;
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- The student can list methods to uncover structure-function relationship in proteins and knows their underlying principles;
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- The student can explain the principles of computational methods for the prediction of secondary structure elements from protein sequence, prediction and modeling of three-dimensional protein structures (homology modeling, threading and ab initio methods).
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Skills
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The student is able to:
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- select and apply the most appropriate bioinformatics sequence or structure database to retrieve or search  data given a specific question in molecular biology;
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- select and apply the most appropriate method for aligning sequences, visualizing and analyzing protein structures, predicting secondary structure elements and modeling protein structures from sequence.
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 +
General competence
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- The student is able to reflect using its knowledge and skills in bioinformatics so as to decide whether a given molecular biology problem could benefit from a bioinformatics approach, and which methods to use.
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- Using their theoretical knowledge about the most commonly used bioinformatics methods, the student is able, if encountering a new online tool, to get a general understanding of its underlying principle]

Revision as of 20:32, 20 August 2017

MOL204 - Aim and content

The aim for this course is to give students knowledge of and competence in use of bioinformatical methods central to conduction of molecular biological research projects. The course has emphasis on bioinformatics related to exploration of proteins and includes analyses of sequences, database searches, sequence comparison, visualization and analysis of protein structures, and introduction to phylogenetic analyses. The students will get an introduction to the theoretical foundations for a few key methods. The course will also give an introduction to analysis of DNA sequences, genes and genomes, gene expression and systems biology. Through practical exercises, the course aims to give students a basic competences in the use of bioinformatical tools. The course emphasizes the the learning of bioinformatical tools in light of the student's knowledge of molecular biology.

Learning outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

- The student can explain which type of data is available from the most common protein sequence and structure databases (UniProt, GenBank, Protein Data Bank, CATH).

- The candidate can explain the theories underlying the most common methods for sequence searches and sequence alignments, and in particular knows the principle and main steps for pairwise and multiple sequence alignments;

- The student can explain and is able to apply the main steps of dynamic programing for/to simple alignments of short sequences;

- The student can list methods to uncover structure-function relationship in proteins and knows their underlying principles;

- The student can explain the principles of computational methods for the prediction of secondary structure elements from protein sequence, prediction and modeling of three-dimensional protein structures (homology modeling, threading and ab initio methods).

Skills

The student is able to:

- select and apply the most appropriate bioinformatics sequence or structure database to retrieve or search data given a specific question in molecular biology;

- select and apply the most appropriate method for aligning sequences, visualizing and analyzing protein structures, predicting secondary structure elements and modeling protein structures from sequence.

General competence

- The student is able to reflect using its knowledge and skills in bioinformatics so as to decide whether a given molecular biology problem could benefit from a bioinformatics approach, and which methods to use.

- Using their theoretical knowledge about the most commonly used bioinformatics methods, the student is able, if encountering a new online tool, to get a general understanding of its underlying principle]