Artificial Intelligence in Science 1000-3D26AIS
The subject of the seminar will be an overview of various aspects of using artificial intelligence to support scientific research. We will address all the challenges faced by such systems in various applications, for example in mathematics, physics, or chemistry. We will discuss all elements of utilizing such systems, such as data preparation, model building, the use of existing models, and aspects of explainability.
During the seminar, students will present papers from journals and conference proceedings dedicated to this field of computer science.
Master's theses can be either review-based or study-experimental in nature.
If foreign students are present, the classes will be conducted in English.
Main fields of studies for MISMaP
Course coordinators
Type of course
Mode
Learning outcomes
Knowledge (KW_01, KW_02):
- The student knows the basic applications of artificial intelligence in supporting scientific research and is familiar with current trends in this field.
Skills (K_U11 - KU_15):
- Is able to independently define a problem and propose a correct and efficient solution for it.
- Is able to prepare a scientific publication on the use of artificial intelligence in science, also in English.
- Is able to prepare a presentation on the use of artificial intelligence in science, also in English.
Social competence (K_K01-K_K09):
- Is able to search for specialized information in available sources and evaluate its reliability and usefulness.
- Is able to present specialized knowledge in a comprehensible manner to non-specialists.
- Understands the importance of intellectual property when using the results of others.
Assessment criteria
Active participation in the seminar and giving a talk.
Bibliography
Modern scientific literature of the subject, including scientific journals and data from the Internet. Details are provided by the lecturers at the first meeting.