Modules

Prerequisites

Contents

The laboratory is implemented as one or several study projects. For each project in artificial intelligence and algorithmic approaches to bioinformatics the following work steps have to be accomplished: • Getting acquainted with the state of the art • Project planning • Selecting the models and mechanisms to be used • Implementation of a prototype • Testing and evaluating the prototype • Documentation The course will explicitly discuss ethical and social considerations of machine learning if human data is used.

Learning outcomes

After successfully completing the module, students will have acquired practical skills in developing and implementing artificial intelligence and algorithmic approaches to solving bioinformatics problems, in particular: • In-depth understanding of the state-of-the-art in methods of bioinformatics, • Ability to carry out projects (project planning, time management, communication, development tools etc.), • Ability to apply this knowledge and implement the relevant mechanisms, • Ability to collaborate with other developers.

Assessment

• Executable and tested prototype (50% of total marks) • Complete documentation, 10-20 pages (20% of total marks) • Successful intermediate presentation of results, 10 min (10% of total marks) • Successful final presentation of results, 20 min (20% of total marks) A student passed the module, if he/she achieves 75% of the total.

Remarks

• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories“ • Study programme Informatik M.Sc.: Compulsory elective module in complex "Seminare oder Praktika" (level 400)