Modern Trends in Informatics (in English)
|Language of Instruction:||English|
|Guarantor:||Smrž Pavel, doc. RNDr., Ph.D. (DCGM)|
|Deputy guarantor:||Zemčík Pavel, prof. Dr. Ing. (DCGM)|
|Lecturer:||Smrž Pavel, doc. RNDr., Ph.D. (DCGM)|
|Faculty:||Faculty of Information Technology BUT|
|Department:||Department of Computer Graphics and Multimedia FIT BUT|
| || ||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.|
| || ||The course is based on a series of self-contained lectures focusing on modern trends of computer science. An initial list of topics is given below.|
|Subject specific learning outcomes and competencies:|
| || ||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.|
|Generic learning outcomes and competencies:|
| || ||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. ||Why is the course taught:|
| || ||The course reflect the fact that students cannot take part in a large variety of theoretical fields in the course of their two-years Master study. Thus, it offers a kind of tasting of the actual development in the computer science. Students can then decide to continue their interest or even their future research in a particular domain. |
|Syllabus of lectures:|
- Quantum computing
- Security, safety, and credibility
- Recent progress in AI research
- Synthetic biology
- Machine translation
- Physical modeling
- Continent-scale weather forecast
- Automotive driving systems
- Medical domain modeling
- Algorithmic trading
- Brain-computer interfaces
- Current and future supercomputers
Michael A. Nielsen and Isaac L. Chuang. 2011. Quantum Computation and Quantum Information: 10th Anniversary Edition (10th ed.). Cambridge University Press.
Yampolskiy, R.V., 2018. Artificial Intelligence Safety and Security. Chapman and Hall/CRC.
Russell, S.J. and Norvig, P., 2016. Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited.
Solomon, L.D., 2017. Synthetic Biology: Science, Business, and Policy. Routledge.
- Michael A. Nielsen and Isaac L. Chuang. 2011. Quantum Computation and Quantum Information: 10th Anniversary Edition (10th ed.). Cambridge University Press.
- Yampolskiy, R.V., 2018. Artificial Intelligence Safety and Security. Chapman and Hall/CRC.
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- As a mid-term check point (milestone) a detailed outline of the assignment paper as well as an annotated list of the reference material (scientific papers) will need to be delivered.
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- At least 50 points for the assignment paper surveying recent developments in a chosen computer science area