Faculty of Mathematical modeling

Faculty of Mathematical modeling

About FacultyThe ScienceBachelor’sMaster’sPostgraduate’s

Faculty of Mathematical modelingHead of the master program: Ustinin Mikhail Nikolaevich, professor, doctor of physical and mathematical sciences.

The main objective of the master educational program is training of specialists, owning modern methods of mathematics and informatics in relation to biological sciences. Possession of these methods is necessary for the researcher of applied and fundamental problems of mathematical (theoretical) biology in the most various areas from quantum and molecular biology to ecology, biotechnology and bioengineering for construction and the analysis of models of the difficult nonlinear objects of the different nature having a uniform mathematical basis.

Such author’s special courses as are interesting: “Nonlinear phenomena in mesoscopic biosystems”; “Mathematical models in biology”; Makrodinamika; “Modeling of molecular dynamics”; “Analysis of primary structures of biopolymers”; “Self-organization of biological systems”; “The generalized spectral and analytical method” which are developed and is realized by scientific and pedagogical employees of Institute of mathematical problems of biology of Russian Academy of Sciences among whom there are 3 doctors of physical and mathematical sciences, 6 candidates physical and mathematical and 2 Candidates of Biology.

The gained knowledge and unique experience do graduates by competitive shots for work in the research and knowledge-intensive organizations.

Scientific topics are represented by the following areas:

– study of nonlinear models of self-trapped states in condensed media;
– simulation modeling of the dynamics of biomolecular systems;
– asymptotic methods and numerical modeling in the study of excitation waves;
– methods of analysis of dynamic systems;
– methods for assessing the biodiversity of vegetation cover;
– bifurcations in differential equations describing systems with symmetries;
– bifurcations in functional differential equations;
– neural network models of information processing in brain structures;
– growing random graphs and their applications in mathematical neurobiology;
– development of algorithms and programs for studying genomic sequences: recognition of coding regions and areas of homogeneity;
– computer methods for studying the primary structures of biopolymers;
– development of new methods for comparing biopolymers and their application to recognition of the type of spatial structure of proteins;
– mathematical models in biomechanics;
– creation of new methods for decoding the structure of complexes of biological macromolecules based on data on scattering of X-rays and neutrons;
– numerical and analytical methods for processing data from biological experiments;
– development of methods for obtaining, processing and analyzing digital images in biology and medicine;
– study of models of voltage-dependent ion channels of excitable biomembranes;
– analytical solutions of integro-differential equations;
– mathematical and cartographic modeling of the relief.

01.03.02 Applied Mathematics and Informatics

Faculty of Mathematical modelingThe faculty prepares bachelors in the direction 01.03.02 Applied Mathematics and Informatics

Profile Mathematical models and methods

The educational program “Applied Mathematics and Informatics” is aimed at training researchers in the field of mathematical and computational biology who have the knowledge and skills to solve the problems of creating and using mathematical models, developing and applying mathematical methods, designing, creating and using applied software and databases for solving research problems in biology and biomedicine.

The bachelor’s degree program in Applied Mathematics and Informatics assumes classical training in mathematics and programming, which is combined with disciplines focused on the profile of Mathematical Models and Methods in Biology and provides basic knowledge of biological processes in a living cell from the point view of chemistry and physics, mathematical modeling and bioinformatics.

Modern scientific and innovative research is impossible without the use of mathematical methods, mathematical and computer modeling, information technology. Back in the 18th century, the great Lobachevsky said: “There is no such branch of mathematics, even the most abstract one, which cannot ever be applied to the real world.” The union of mathematics and informatics with biology and medicine allows, on the one hand, to efficiently process data, build models and analyze complex biological systems, and on the other hand, modern biology is a source of new problems in mathematics.

Full-time form of education

Duration of training: 4 years (with a specialized vocational education – 3.5 years)

Dormitory and respite from the army are provided.

Admission on a competitive basis based on the results of the exam or entrance examinations: mathematics (profile), computer science, Russian.

Perspectives

A graduate of the PushGENI Bachelor’s Degree in Applied Mathematics and Informatics is preparing to work in a research team, at high-tech enterprises related to biology, biopharmaceuticals, biomedicine. Serious professional training in programming and information technology will allow him to find himself in companies related to software development, web programming, and database design.

09.03.01 Informatics and computer technology

Faculty of Mathematical modelingThe faculty prepares bachelors in the direction 09.03.01 Informatics and computer technology
Profile Models, Methods and Design Analysis Software

The field of professional activity of bachelors in the direction 09.03.01 Informatics and computer technology with a training profile “Models, methods and software for the analysis of design solutions” includes a set of technologies, means, methods and methods of human activity aimed at creating conditions for the exchange of information.

Graduates of the program have a wide range of professional competencies: creation of information systems and their complexes; development of mathematical, informational, algorithmic and software, taking into account various design methods; implementation and operation of information systems in various fields.

Place of practice and implementation of R&D and R&D. The program is being implemented in a network partnership with RATEP JSC, which is part of the Almaz-Antey Concern EKR JSC and the Institute of Mathematical Problems of Biology of the Russian Academy of Sciences.

Employment of graduates: a graduate of the PushGENI bachelor’s degree in the field of “Informatics and Computer Engineering”, in comparison with other programmers, have a wider range of employment opportunities in all sectors of the economy, they are most in demand and highly paid, because are software developers in the broadest sense: they can provide all elements of the software development life cycle, from design to testing and debugging processes; can program and do hardware, and develop a software product for the user.

Full-time form of education

Duration of training: 4 years (with a specialized vocational education – 3.5 years)

Hostel provided.

Admission on a competitive basis based on the results of the exam or entrance

tests: mathematics (profile), computer science, Russian.

Perspectives. Computing technology and automated systems are an integral part of modern society. Specialists in this field are able to create computers and automated systems and implement their developments in various fields of human activity.

11.03.02 Infocommunication technologies and communication systems

Faculty of Mathematical modelingThe faculty prepares bachelors in the direction 11.03.02 Infocommunication technologies and communication systems
Radio Communication and Radio Access System Profile

The field of professional activity of bachelors in the direction 11.03.02 “Infocommunication technologies and communication systems” with the training profile “Radio communication and radio access systems” includes a set of technologies, means, methods and methods of human activity aimed at creating conditions for the exchange of information at a distance by wire, radio , optical systems, its processing and storage.

Graduates of the program have the ability to understand the essence and significance of information in the development of a modern information society, to be aware of the dangers and threats arising in this process, the skills to comply with the basic requirements of information security, including the protection of state secrets, to master the basic methods, methods and means of obtaining, storing, information processing.

Types of activity that a graduate should have: service and operational; settlement and design; experimental research; organizational and managerial.

Place of practice and R&D. The base of the leading enterprise JSC “RATEP”, which is a part of JSC “Concern East Kazakhstan region” Almaz-Antey “- a network partner of PushGENI.

Employment of graduates: post offices of large enterprises and organizations; enterprises for the development and service of electronic equipment.

Full-time form of education

Duration of training: 4 years (with a specialized vocational education – 3.5 years)

Hostel provided.

Admission on a competitive basis based on the results of the exam or entrance

tests: mathematics (profile), physics, Russian.

Perspectives. The digital era has imposed stringent requirements on telecommunications, so bachelors in the field of “Infocommunication Technologies and Communication Systems” are in demand on the labor market in all sectors of the economy.

Faculty of Mathematical modelingThe faculty prepares masters (2 years of study) in the direction 01.04.02 Applied Mathematics and Informatics

Profile Mathematical modeling

The program is aimed at the practical use of knowledge in the field of applied mathematics and computer science.

Undergraduates study disciplines of the profile “Mathematical modeling”: macroanalysis, generalized spectral-analytical method, computer technology and mathematics, mathematical methods of biological crystallography, nonlinear phenomena in mesoscopic biosystems, molecular dynamics modeling, the art of molecular dynamics modeling.

In the future, masters will be able to study mathematical modeling methods, automated systems and information processing tools, apply in practice solutions to applied problems in the field of biology, chemistry and physics, study and develop digital image processing systems, and much more.

Place of practice and implementation of R&D and R&D: On the basis of a network partnership with the Institute of Mathematical Problems of Biology, Russian Academy of Sciences.

Employment of graduates: the faculty prepares specialists for research institutes and universities, medical institutes and institutions, industry, including pharmaceutical and biotechnical industries. The interdisciplinarity of the program allows graduates to choose a further direction of professional development among many options. One of them may be the development of a scientific career. In scientific and scientific-technical laboratories, research groups and biomedical institutions, there is a constant demand for specialists in computational biology and bioinformatics. Another area of ​​development could be working in the industry. Biotech companies are constantly on the lookout for specialists in computational biology. For example, there is currently a strong demand among commercial companies and laboratories for specialists in the processing of high-throughput sequencing and microarray data.

Prospects: Due to the large-scale development of technologies in the field of the sciences of living systems, modern biology accumulates huge amounts of data every year. To process them, you need to have a good command of computer methods and special algorithms. In view of this, the demand for specialists capable of using the mathematical apparatus for solving biological and medical problems is growing every year.

The area of ​​professional activity of graduates who have mastered the postgraduate program in the direction of 09.06.01 includes the spheres of science, technology, technology and pedagogy, covering the totality of tasks of the direction of Informatics and computing, including the development of theory, creation, implementation and operation of promising computer systems, networks and complexes, mathematical and software.

The objects of professional activity of graduates who have mastered the postgraduate program in the direction of 09.06.01 are:

– the chosen area of ​​scientific knowledge, as well as scientific tasks of an interdisciplinary nature, including: computers, complexes, systems and networks;

– software for computer equipment and automated systems (programs, software complexes and systems);

– mathematical, informational, technical, linguistic, software, ergonomic, organizational and legal support of automated information, computing, design and control systems;

– high-performance computing and supercomputer technology;

– technologies for the development of computer hardware and software products.