Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Applied Mathematics | Probability Theory | Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


University of Novi Sad

Faculty of Technical Sciences

The Faculty of Technical Sciences is a higher education institution located in Novi Sad, Serbia. The faculty offers various study programs in the fields of technical sciences, including engineering, technology, and natural sciences.


Departments

The faculty is organized into several departments, including:


  • Department of Energetics, Electronics, and Telecommunications
  • Department of Mechanical Engineering
  • Department of Architecture and Urban Planning
  • Department of Industrial Engineering and Management
  • Department of Graphics Engineering and Design
  • Department of Computer Science and Automation
  • Department of Civil Engineering and Geodesy
  • Department of Technical Mechanics

Study Programs

The faculty offers various study programs at the undergraduate, graduate, and doctoral levels. The study programs are accredited by the relevant authorities and are designed to provide students with a comprehensive education in their chosen field.


Accreditation

The faculty's study programs are accredited by the Accreditation Board of Serbia. The accreditation process involves a thorough evaluation of the study programs, including the curriculum, teaching staff, and infrastructure.


Research Areas

The faculty's research areas include:


  • Energetics and electronics
  • Mechanical engineering
  • Architecture and urban planning
  • Industrial engineering and management
  • Graphics engineering and design
  • Computer science and automation
  • Civil engineering and geodesy
  • Technical mechanics

Library and Publishing Activities

The faculty has a library that provides students and staff with access to a wide range of books, journals, and other resources. The faculty also publishes several journals and books in the fields of technical sciences.


International Cooperation

The faculty cooperates with several international institutions and organizations, including universities, research centers, and companies. The cooperation involves joint research projects, student exchanges, and other activities.


Student Services

The faculty provides students with various services, including:


  • Student council
  • Student mobility programs
  • Internships and practical training
  • Career counseling
  • Psychological counseling

Facilities

The faculty has modern facilities, including:


  • Classrooms and lecture halls
  • Laboratories and workshops
  • Library and reading rooms
  • Computer centers and internet access
  • Sports and recreational facilities

Contact

For more information about the Faculty of Technical Sciences, please visit our website or contact us directly.


Course: Principles of Large Deviations (17.D0M51L)

Basic Information

  • Category: Professional-applied
  • Narrow scientific field: Theoretical and applied mathematics
  • ESPB: 10

Course Objectives

The objective of this course is to provide students with basic knowledge of the principles of large deviations. Students will learn how to apply this knowledge in image processing, statistical mechanics, and coding theory.


Course Content

The course covers the following topics:


  1. Probability theory
  2. Random processes
  3. Definition of the principle of large deviations
  4. Principle of large deviations for processes
  5. Applications of the principle of large deviations

Teaching Methods

The course is taught through a combination of lectures, consultations, and seminars. Students will also work on a research project and present their findings.


Literature

  • J. Feng, T.G. Kurtz, "Large Deviation for Stochastic Processes", American Mathematical Society, 2006
  • , ., " ", , , 1989
  • A. Dembo, O. Zeitouni, "Large Deviation Techniques and Applications", Springer, 1988
  • Billingsley, P., "Probability and Measure", John Wiley & Sons, New York, 1986

Assessment

The course assessment includes:


  • Seminar paper (30 points)
  • Theoretical part of the exam (70 points)

Teachers

  • Prof. Dr. Tatjana Grbic
  • Prof. Dr. Biljana Mihailovic
  • Doc. Dr. Nataa Durakovic
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