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The University Of Georgia
Program name: Pure and Applied Mathematics
Study Level: Graduate
Program leader: George Tephnadze
Study language: Georgian
Qualification:
Program capacity: 120
Program permission:
Program goals:
Methods for Attaining Learning Outcomes:
Learning outcomes:
Outcomes
  • After completing the program, the graduate:

    • Thoroughly and systematically familiarizes himself with the issues of real and complex analysis and applies them in various fields of mathematics.
    • Characterizes the nature of sets from two different angles, from the point of view of size theory and topology, applies them in statistics and some other areas of mathematics.
    • Studies the numerical characteristics of probability spaces and statistical experiments, random variables, distributions, statistical estimates of the parameters of various probability distributions, and uses appropriate estimates in specific cases.
    • Knows and explains the issues and methods of operator theory and operator algebras, the fundamental methods of function theory and functional analysis, and using them, studies various problems, both in these fields themselves, as well as in differential equations and other fields of mathematics;
    • Possesses knowledge of various differential equations and numerical approximation methods and creates algorithms by implementing the appropriate program code in the MATLAB language;
    • Explains and formulates the basic methods and algebraic structures of abstract algebra and general and algebraic topology and uses them to solve various practical and theoretical problems.
    • Within the framework of the master's thesis, studies important methods of the field and plans and conducts research using them.
    • Analyzes important issues of the field during team and individual work and substantiates his/her conclusions with relevant knowledge and logic;
    • Analyzes the initial data of practical and applied problems based on team and individual work, summarizes the obtained results and formulates them in the language of mathematics;
    • Using modern technologies, draws their own conclusions on issues in the field, effectively presents them in written and oral communication, and consistently and clearly formulates and presents them to both specialists and non-specialists, while adhering to the standards of academic ethics.

     


     

  • Date of approval: 01-01-1900
    Approval protocol number:
    Date of program update:
    Update protocol number:
    Program details:
    Teaching Process Characteristics:

    Program Elective

    Code Subject ECTS
    MATH11026

    Credits sum:

    6

    Specialization Core

    Code Subject ECTS Semester
    MATH5001Abstract Algebra6 1
    MATH5006Software Packages in Mathematics (MATLAB)6 1
    MATH5030Theory of Functions of a Real Variable6 1
    MATH5002Operator Theory and Operator Algebras6 1
    MATH5007Mathematical statistics6 2
    MATH5003Partial Differential Equations6 2
    MATH5032Theory of functions of complex variables6 2
    MATH5004General and Algebraic Topology6 3
    MATH5005Numerical Methods6 3
    MATH5400Master Thesis30 4

    Credits sum:

    84

    Specialization Elective

    Code Subject ECTS
    INFO7855R (Statistical Computing)6
    MATH5009Selected Chapters in Mathematics6
    MATH5010Harmonic Analysis6
    INFO5112Database Design and Management6
    INFO6270Artificial Intelligence Based Machine Learning Algorithms6
    MATH5016Lie Groups and Lie Algebras6
    MATH5017Martingales and Their Applications to Mathematical Analysis6
    MATH5018Integral equations6
    MATH5019Fundamentals of the general theory of measure and integral6
    INFO7854Python6
    INFO6271Database Systems6
    INFO5120Geoinformation Systems6
    MATH5020Nonlinear Partial Derivative Equations6
    MATH5020Nonlinear Partial Derivative Equations6
    MATH5021Fourier Analysis6
    MATH5022Basics of Wavelet analysis6
    MATH5031Financial Mathematics6
    MATH5029Algorithms and analysis6
    MATH50266
    MATH5027Cryptography6
    MATH5024Homological Algebra6
    MATH5028Risk assessment methods for innovative financial instruments6
    INFO6340Structural analysis of systems6
    INFO6263Big Data System6

    Credits sum:

    144









    Matrix Of Privequisites


    Point GPA The university assessment   The general assessment in Georgia
    97-100 4,00 A+ A Excellent
    94-96 3,75 A
    91-93 3,50 A-
    87-90 3,25 B+   Very good
    84-86 3,00 B B
    81-83 2,75 B-  
    77-80 2,50 C+   C good
    74-76 2,25 C
    71-73 2,00 C-
    67-70 1,75 D+   D Satisfactory
    64-66 1,50 D
    61-63 1,25 D-
    51-60 1,00 E E Sufficient
    Not passed
    41-50   FX FX Insufficient
    <40   F F Failed



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