DM845: Advanced Algorithms for Computational Biology (5 ECTS)

STADS: 15016501

Level
Master's level course approved as PhD course

Teaching period
The course is offered in the spring semester.

Teacher responsible
Email: vandinfa@imada.sdu.dk

Timetable
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Comment:
Ubegrænset deltagerantal

Prerequisites:
None

Academic preconditions:
The content of DM507: Algorithms and Data Structures and of DM552: Programming Languages assumed known.

Course introduction
The course focuses on the algorithms employed in a few, selected areas of computational biology, and provides the students with an understanding of the state-of-the-art computational methods in the selected topics. The focus is on problems that arise in the analysis of high-throughput biological datasets. The course provides theoretical and practical skills to develop novel methods in new computational biology applications.

Qualifications
At the end of the course the students will have the following competencies:

• knowledge of computational problems that arise in computational biology and of state-of-the-art solutions for such problems;
• application of advanced computational techniques to the analysis of large biological datasets;
• design of advanced methods for computational biology.

Expected learning outcome
At the end of the course the student is expected to be able to:

• describe and assess the content of research scientific papers;
• describe the computational problems arising in the topics presented in the course;
• describe state-of-the-art algorithms for solving the computational problems presented in the course;
• reflect on and assess the state-of-the-art computational methods for the topics presented in the course;
• undertake experimental evaluation of advanced methods in computational biology and report the results;
• assess and reflect on the experimental evaluation of algorithmic methods in computational biology.

Subject overview
Algorithms for genome sequencing; computational methods for large network analysis.

Literature

Meddeles ved kursets start.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
Presentation of one or more scientific articles, and short written reviews of articles presented in class. Pass/fail, internal evaluation by teacher. (15016512)

Assessment and marking:

1. Project assignment. Is evaluated by external censorship by the Danish 7-mark scale (5 ECTS). (15016502)

Reexam in the same term or immediately thereafter. Reexam is an oral exam, evaluated by external censorship by the Danish 7-mark scale.

Expected working hours
The teaching method is based on three phase model.
Intro phase: 28 hours
Skills training phase: 16 hours, hereof:
 - Tutorials: 16 hours

Educational activities Study phase: 16 hours

Language
This course is taught in English.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.