13M111GI - Computational Genomics
Course specification | ||||
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Course title | Computational Genomics | |||
Acronym | 13M111GI | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | The course 13M111PSZ is not a prerequisite for this new course (13M111GI); however, it is recommended that the course 13M111GI, be taken after the course 13M111PSZ. Cosequently, on the level of master studies, 13M111PSZ is located in the Fall semesters and 13M111GI in the Spring semesters. | |||
The goal | This course presents some of the basic computational methods that can infer biological information from genomic data, the strengths and weaknesses of related methods, and the important parameters embedded in these analyses. Theoretical, applied, and statistical issues will be addressed. | |||
The outcome | Students should be able to understand the principles of algorithm design for biological datasets, to analyze problems, and use described methods in order to locate genes, repeat families, similarities between sequences of different organisms and several other applications. | |||
Contents | ||||
Contents of lectures | Sequence Alignments. Hidden Markov Models. Multiple Alignment Algorithms. Gene Expression Analysis. Population Genomics. Molecular Evolution. Comparative Genomics. | |||
Contents of exercises | Same as for the theoretical lessons. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
2 | 2 | 1 | ||
Methods of teaching | Lectures and auditory practices are supplied with electronic presentations. Students work on homework projects independently. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | 50 | ||
Practical lessons | Oral examination | |||
Projects | 50 | |||
Colloquia | ||||
Seminars |