Title:

Modern Trends in Informatics (in English)

Code:MTIa
Ac.Year:2019/2020
Sem:Summer
Curriculums:
ProgrammeField/
Specialization
YearDuty
IT-MSC-2MGMe-Elective
MITAINADE-Compulsory
MITAINBIO-Compulsory
MITAINCPS-Compulsory
MITAINEMB-Compulsory
MITAINGRI-Compulsory
MITAINHPC-Compulsory
MITAINIDE-Compulsory
MITAINISD-Compulsory
MITAINISY-Compulsory
MITAINMAL-Compulsory
MITAINMAT-Compulsory
MITAINNET-Compulsory
MITAINSEC-Compulsory
MITAINSEN-Compulsory
MITAINSPE-Compulsory
MITAINVER-Compulsory
MITAINVIZ-Compulsory
Language of Instruction:English
Credits:4
Completion:classified credit
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:2600013
 ExamsTestsExercisesLaboratoriesOther
Points:0000100
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
Schedule:
DayLessonWeekRoomStartEndLect.Gr.Groups
ThulecturelecturesE104 E105 E112 12:0013:501EIT 1MIT 2EIT 2MIT INTE xx
 
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.
Description:
  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:
 
  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
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.
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.
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
 

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