Course detail
Modern Trends in Informatics (in English)
FIT-MTIaAcad. year: 2024/2025
The course is based on a series of self-contained lectures focusing on modern trends in computer science. An initial list of topics is given below.
Assignment conditions
Students must answer at least six tests and get at least 50 points.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Offered to foreign students
Entry knowledge
Rules for evaluation and completion of the course
- At the end of most of the lectures, there will be a couple of questions to be answered on the topic. Answers will be assessed and students get points (~10 per lecture). Everybody paying attention to the presentation should be able to answer correctly.
Aims
To get an overview of novel research and development directions in computer science and information technologies, to gain an insight into modern trends in a wide range of theoretical areas of the computer science and their known and expected applications, to understand basic concepts of the fields and processes influencing their future development.
Students will get acquainted with modern trends of computer science and information technology that have a great potential to impact future development in the field. They will self-study a chosen topic and prepare an overview of the current state of the art and recent advancements.
Thanks to the contacts with experts presenting lectures on their specific domains of interest, students will be able to get an insight into the way researchers and developers think about problems in their respective field. They will also strenghten their ability to get grasp of a new theoretical subjects, to correctly use referred papers and to follow the current development in scientific disciplines.
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
Russell, S.J. and Norvig, P., 2016. Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited. (EN)
(EN)
(EN)
Yampolskiy, R.V., 2018. Artificial Intelligence Safety and Security. Chapman and Hall/CRC. (EN)
Elearning
Classification of course in study plans
- Programme IT-MGR-1H Master's
specialization MGH , 0 year of study, summer semester, recommended course
- Programme MIT-EN Master's 0 year of study, summer semester, elective
- Programme MITAI Master's
specialization NGRI , 0 year of study, summer semester, compulsory
specialization NADE , 0 year of study, summer semester, compulsory
specialization NISD , 0 year of study, summer semester, compulsory
specialization NMAT , 0 year of study, summer semester, compulsory
specialization NSEC , 0 year of study, summer semester, compulsory
specialization NISY up to 2020/21 , 0 year of study, summer semester, compulsory
specialization NNET , 0 year of study, summer semester, compulsory
specialization NMAL , 0 year of study, summer semester, compulsory
specialization NCPS , 0 year of study, summer semester, compulsory
specialization NHPC , 0 year of study, summer semester, compulsory
specialization NVER , 0 year of study, summer semester, compulsory
specialization NIDE , 0 year of study, summer semester, compulsory
specialization NISY , 0 year of study, summer semester, compulsory
specialization NEMB , 0 year of study, summer semester, compulsory
specialization NSPE , 0 year of study, summer semester, compulsory
specialization NEMB , 0 year of study, summer semester, compulsory
specialization NBIO , 0 year of study, summer semester, compulsory
specialization NSEN , 0 year of study, summer semester, compulsory
specialization NVIZ , 0 year of study, summer semester, compulsory
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Quantum computing
- Security, safety, and credibility
- Recent progress in AI research
- Synthetic biology
- Machine translation
- Astroinformatics
- Physical modeling
- Continent-scale weather forecast
- Automotive driving systems
- Medical domain modeling
- Algorithmic trading
- Brain-computer interfaces
- Current and future supercomputers
Elearning