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VU DOCTORAL STUDY PROGRAM INFORMATICS ENGINEERING (T 007)

 

Compulsory Subjects

 Scientific areas  Course unit title  Number of
credits
 Semester  Lecturers
N 009, T 007 Research Methods in Informatics and Informatics Engineering 8 In the spring of the first study year A. Lupeikienė
S. Gudas
V. Marcinkevičius
I. Belovas
N 009, T 007 Fundamental methods of informatics and informatics engineering science 8 In the autumn of the second study year J. Žilinskas
R. Baronas
A. Jakaitienė
O. Kurasova
L. Laibinis
V. Marcinkevičius
G. Tamulevičius

 

Alternative Optional Subjects

Scientific areas

Course unit title

Number of
credits

Semester

Lecturers

T 007

Blockchain technologies

7

Spring

R. Paulavičius
E. Filatovas
S. Masteika

T 007

Big data analytics

7

Autumn

V. Medvedev
J. Bernatavičienė
G. Dzemyda

T 007

Speech signal processing

7

Autumn

G. Tamulevičius
G. Korvel
P. Treigys

T 007

Parallel and distributed computing

7

Spring

J. Žilinskas
A. Lančinskas
V. Medvedev

T 007

Machine learning

7

Autumn

V. Marcinkevičius
L. Petkevičius
V. Valaitis

T 007

Model-driven systems engineering

7

Spring

S. Gudas
A. Lopata
A. Lupeikienė

T 007

Natural language processing

7

Spring

V. Marcinkevičius
G. Korvel
G. Tamulevičius

T 007

Requirements engineering: methods and tools

7

Autumn

S. Gudas
A. Lopata
A. Lupeikienė

T 007

Systems analysis technologies of informatics engineering

7

Autumn

S. Gudas
A. Lopata
A. Lupeikienė

T 007

Digital signal processing

7

Spring

G. Tamulevičius
G. Korvel
P. Treigys

T 007

Decision making strategies

7

Autumn

G. Dzemyda
O. Kurasova
E. Filatovas

T 007

Technology enhanced learning

7

Autumn

V. Dagienė
T. Jevsikova
V. Dolgopolovas

T 007

Image analysis and processing

7

Spring

P. Treigys
J. Bernatavičienė
G. Tamulevičius

T 007

Knowledge-based information systems engineering

7

Spring

A. Lopata
S. Gudas
D. Dzemydienė

 

In all: 14

VU Doctoral Study Program  Informatics (N 009)

 

 Scientific areas  Course unit title  Number of
credits
 Semester  Lecturers
N 009, T 007 Research Methods in Informatics and Informatics Engineering 8 In the spring of the first study year A. Lupeikienė
S. Gudas
V. Marcinkevičius
I. Belovas
N 009, T 007 Fundamental methods of informatics and informatics engineering science 8 In the autumn of the second study year J. Žilinskas
R. Baronas
A. Jakaitienė
O. Kurasova
L. Laibinis
V. Marcinkevičius
G. Tamulevičius

 

Alternative Optional Subjects

Scientific areas

Course unit title

Number of
credits

Semester

Lecturers

N 009

Automated verification and validation methods

7

Spring

L. Laibinis
R. Vaicekauskas
H. Giedra

N 009

Multidimensional data visualization

7

Spring

G. Dzemyda
O. Kurasova
J. Žilinskas

N 009

Efficient algorithms

7

Autumn

A. Juozapavičius
T. Meškauskas
E. Manstavičius

N 009

Deep neural networks

7

Spring

P. Treigys
O. Kurasova
V. Medvedev

N 009

Applications of classical geometry in surface modeling

7

Autumn

S. Zubė
R. Krasauskas
K. Karčiauskas

N 009

Computer-aided modeling of curves and surfaces

7

Spring

K. Karčiauskas
R. Krasauskas
S. Zubė

N 009

 

Nonlinear statistical models for massive data analysis

7

Spring

A. Jakaitienė
M. Radavičius
O. Kurasova

N 009

Optimization methods and their applications

7

Autumn

J. Žilinskas
A. Lančinskas
R. Paulavičius

N 009

Process assessment and improvement models

7

Spring

R. Baronas
S. Peldžius
S. Ragaišis

N 009

Formal semantics and specification methods for software-based systems

7

Autumn

L. Laibinis
R. Baronas
K. Petrauskas

N 009

Computational intelligence in investing in securities

7

Autumn

A. Raudys
V. Dičiūnas
Š. Raudys

N 009

Numerical modeling

7

Spring

T. Meškauskas
R. Baronas
L. Bukauskas

N 009

Statistical modelling and stochastic programming

7

Autumn

I. Belovas
M. Sabaliauskas
A. Medžiūnas

N 009

Modern database systems

7

Spring

R. Baronas
S. Ragaišis
L. Bukauskas

N 009

Network models and algorithms

7

Autumn

M. Bloznelis

 

In all: 15

VU Matematikos (N 001) doktorantūros studijų programa

The doctoral program in Mathematics is designed according to the planned research topics of doctoral students, as well as qualification training courses in this field of science. The purpose of the doctoral program is to train scientists, who would be capable of independently carrying out research and experimental development and solving scientific problems of Mathematics.

The study program consists of two blocks for subjects: compulsory block and elective block. The compulsory block consists of the subject for all the doctoral students and it reflects the main research topics for doctoral students, providing them with access to the general qualifications required for research. An elective block offers the subjects from which the rest of the program may be chosen and it is based on the research topics of Mathematics. With the approval of the PhD Committee, students can choose the subject in other fields of science.

 

All Subjects