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Department of Computer Science and Autonomous Systems

Head of Department
Hovhannes Dashtoyan
PhD in Engineering

The department of Computer Science and Autonomous Systems was established in 2022 through collaboration of the International Scientific-Educational Center of NAS RA and the Instigate Scientific Research Center Foundation.

The establishment of the department Computer Science and Autonomous Systems aims to conduct project-based research within the framework of real and socially significant projects provided by government bodies and companies and approved by ISRC. 

Department Objectives:

  • Prepare highly qualified masters in computer science and autonomous systems capable of conducting both theoretical research and applied work.
  • Contribute to enhancing the scientific research skills and qualifications of the workforce.
  • Establish a cooperation platform between government, private organizations, and research institutions.
  • Combine work and science.
  • Produce high-quality research work and publications endorsed by the ISRC and the university's scientific council, aimed exclusively at solving real issues.
  • Engage the stakeholders commissioning the research and students conducting the research, supporting their collaboration in addressing scientific research problems.
  • Promote a culture of designing, proposing and building effective research toolkits to be outsourced to research teams.

Specialization: Information systems development

Research Works

The research is conducted through real projects where students engage in theoretical learning individually through online materials and collaborate on practical assignments, structured as vertical projects, aimed at facilitating qualitative research and MS theses.

The list of subjects:

  • Research methodology
  • Semantic modeling and design
  • Computer networks
  • Cyber and information security
  • Additional chapters on mathematical physics equations
  • Compiler design
  • Computational geometry
  • Artificial intelligence
  • Numerical methods
  • POSIX programming
  • Databases
  • Linear programming
  • Abstract algebra
  • Statistics
  • Software defined radios
  • FPGA design
  • Python and Web programming
  • C++ Programming
  • Parallel programming
  • Formal grammars
  • Cryptography
  • Data science
  • Cloud and distributed systems

The Faculty

Vahagn Poghosyan Ph.D. inPhysics and Mathematics
Satenik Mnatsakanyan MS
Hrant Manasyan MS
Hovhannes Dashtoyan    
Ph.D. in Engineering
Anna Shahinyan Ph.D. in Physics and Mathematics
Karen Aleksanyan Ph.D. in Engineering
Aram Jivanyan Ph.D. in Engineering
Narine Hovhannisyan MS
Hmayak Arzumanyan MS
Vahagn Tukharyan MS

After graduation, the master will be equipped to:

  • Read, comprehend and analyze advanced scientific literature across in various fields of science.
  • Write articles addressing problems requiring science-based solutions.
  • Apply scientific methodology and approaches to solve complex system issues. 
  • Understand the methodology for partitioning and solving complex problems into components․
  • Utilize digital platforms to automate industry strategic objectives.
  • Create digital platforms adhering to an open-source ideology.

Department opportunities

A format of learning parallel to work has been developed enabling students to engage in a variety of real or socially relevant projects proposed by employers. This approach results in the creation of high-quality master's theses. Projects are tailored to match each student's work experience, abilities and skills.

An inter-university inter-professional distance education format, built on a proprietary information management platform, has been developed. This platform offers personalized pages for students, faculty and researchers, including project management pages, online courses access, video and document management pages. These pages serve as comprehensive representations of students' work, replacing traditional CVs by showcasing their real-world projects and contributions.

Tel:       (+374 60) 510 810