Duration Time 13 weeks
Certificate yes
Lessons 0
Course features
Compulsory Course
Credits : 5
RE&D Department
Lecture Hours : 3
Lab Hours : 3
Autumn Semester
Assistant Professor
His primary research interests include machine learning and Big Data analytics, mobile networks, as well as secure digital technologies for the agricultural economy and the environment.
Assistant Professor
His research interests include dynamic graph problems, query optimization, data structures with sublinear space, as well as other theoretical problems in the field of Data Structures and Algorithms.
Course Content

Upon successful completion of the course the student will

  • be able to distinguish the capabilities of the components of a computer and will be able to choose the synthesis of a computer system that satisfies his/her needs
  • understand what an Operating System is (and does) and how the way that the operating system works interferes with the operational qualification of the computer.
  • exploit the basic concepts of Computer Science with broader extensions to society, employment, scientific progress and philosophy,
  • be able to exploit dedicated software packages for the processing and analysis of data,
  • be able to use the computer at a collaborative learning level with fellows, in the context of team work.
  • understand what a database is, design simple databases and implement them by using specialized for this purpose software
  • be able to create (in the form of data flow diagrams) algorithms for solving computational problems

Course Layout (EN)

Course Layout (EL)