Faculty of Information Technology, BUT

Course details

Modern Trends in Informatics (in English)

MTIa Acad. year 2019/2020 Summer semester 4 credits

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.

Guarantor

Deputy Guarantor

Language of instruction

English

Completion

Classified Credit

Time span

26 hrs lectures, 13 hrs projects

Assessment points

100 projects

Department

Lecturer

Subject specific learning outcomes and competences

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 competences

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.

Learning objectives

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.

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. 

Study literature

  • 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.

Fundamental literature

  • 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.

Syllabus of lectures

  1. Quantum computing
  2. Security, safety, and credibility
  3. Recent progress in AI research
  4. Synthetic biology
  5. Machine translation
  6. Astroinformatics
  7. Physical modeling
  8. Continent-scale weather forecast
  9. Automotive driving systems
  10. Medical domain modeling
  11. Algorithmic trading
  12. Brain-computer interfaces
  13. Current and future supercomputers

Progress assessment

  • 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.

Exam prerequisites

  • At least 50 points for the assignment paper surveying recent developments in a chosen computer science area

Schedule

DayTypeWeeksRoomStartEndLect.grpGroupsInfo
Thulecturelectures E104 E105 E112 12:0013:50 1EIT 1MIT 2EIT 2MIT INTE xx

Course inclusion in study plans

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