261-5113-00L  Computational Challenges in Medical Genomics

SemesterSpring Semester 2024
LecturersA. Kahles
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
261-5113-00 SComputational Challenges in Medical Genomics2 hrs
Mon14:15-16:00CAB G 57 »
A. Kahles

Catalogue data

AbstractThis seminar discusses recent relevant contributions to the fields of computational genomics, algorithmic bioinformatics, statistical genetics and related areas. Each participant will hold a presentation and lead the subsequent discussion.
Learning objectivePreparing and holding a scientific presentation in front of peers is a central part of working in the scientific domain. In this seminar, the participants will learn how to efficiently summarize the relevant parts of a scientific publication, critically reflect its contents, and summarize it for presentation to an audience. The necessary skills to succesfully present the key points of existing research work are the same as needed to communicate own research ideas.
In addition to holding a presentation, each student will both contribute to as well as lead a discussion section on the topics presented in the class.
ContentThe topics covered in the seminar are related to recent computational challenges that arise from the fields of genomics and biomedicine, including but not limited to genomic variant interpretation, genomic sequence analysis, compressive genomics tasks, single-cell approaches, privacy considerations, statistical frameworks, etc.
Both recently published works contributing novel ideas to the areas mentioned above as well as seminal contributions from the past are amongst the list of selected papers.
Prerequisites / NoticeKnowledge of algorithms and data structures and interest in applications in genomics and computational biomedicine.
CompetenciesCompetencies
Subject-specific CompetenciesTechniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Media and Digital Technologiesassessed
Project Managementassessed
Social CompetenciesCommunicationassessed
Personal CompetenciesCreative Thinkingassessed
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersA. Kahles
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationStudents will be assessed based on their seminar presentation (70%) and contribution to dicussions of all presentations (30%). Attendance in all but one seminar weeks is required.

Learning materials

 
Main linkInformation
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Groups

No information on groups available.

Restrictions

Places20 at the most
Waiting listuntil 02.03.2024

Offered in

ProgrammeSectionType
CAS in Computer ScienceSeminarsWInformation
Computational Biology and Bioinformatics MasterTheoryWInformation
Data Science MasterInterdisciplinary ElectivesWInformation
Data Science MasterSeminarWInformation
Computer Science MasterSeminarWInformation