Educational program
The aim of the “Artificial intelligence in medicine” educational program is to provide high-quality training of highly qualified scientific and scientific-pedagogical personnel for the system of higher and postgraduate education and scientific research in the interdisciplinary field of artificial intelligence and healthcare. The implementation of the educational program is aimed at the formation of a professional personality of a specialist capable of:
- systematize and interpret scientific theories, concepts, and current trends in the field of artificial intelligence and healthcare in order to further apply this knowledge in the implementation of scientific research;
- make an original contribution to expanding the boundaries of knowledge in the field of healthcare using artificial intelligence technologies;
- create systems and applications using embedded systems to solve healthcare problems;
evaluate and determine the significance of a product of one's own and other scientific activity, represent and defend one's own scientific opinion in a scientific discussion.
Build mathematical models of various tasks of creating a public good, determine a methodology for applying artificial intelligence methods to them, set quality assessment criteria, develop general data models and organize data exchange based on cloud computing in order to increase the likelihood of socially beneficial results.
2. Compare and select digital signal processing algorithms for various medical applications, evaluate experimental results and correlate them with appropriate design and programming methods, implement digital signal processing algorithms and design methods on embedded devices.
3. Perform the main stages of preparing medical imaging data when developing artificial intelligence algorithms, explain the current limitations for data processing, and explore new approaches to solving data accessibility problems.
4. Apply machine learning methods for medical diagnostics and analytics based on medical data, create tools for data mining.
5. Evaluate how embedded systems, artificial intelligence tools for medical care can be used to identify and assess the health effects of behavioral and environmental factors.
6. Draw up research programs, apply research methods, carry out scientific management of research on the most important scientific problems of a fundamental and applied nature, obtain the necessary data from scientific and technical documents, reports and other reference materials.
7. Conduct teaching activities in higher education institutions, introduce advanced and innovative teaching technologies, develop educational and methodological support for new courses, taking into account the social modernization of Kazakhstan and the development of the national economy.
8. To contribute in the framework of original studies that expand the boundaries of knowledge through the use of artificial intelligence in medicine, use the academic style of writing, publish research results in the form of scientific articles in Kazakh and foreign publications, be prepared for correct and tolerant interaction in society, for social interaction and cooperation to solve scientific and technical problems.
Educational programs of doctoral studies
Persons entering doctoral studies (PhD) submit the following package of documents:
when applying to organizations of university and postgraduate education:
1) an application addressed to the head of the organization of higher and postgraduate education (in any form);
2) a document on education (original, when submitting documents to the selection committee);
3) identity document (required for personal identification);
4) official certificate of passing the state language exam (KAZTEST) issu
Curriculum
Employment
Areas of professional activity: Design, implementation and use of modern intelligent wireless sensors and devices in medicine; development, maintenance of software for IoT devices, management and intellectualization, the use of cloud computing for the analysis of big medical data, the use of artificial intelligence in scientific research in the field of medicine.
Training of personnel in the field of professional activity includes the following types of activities, professions, qualification levels (list the types of activities in accordance with the professional standard):
Machine learning specialist;
Neural network specialist;
Data mining specialist;
Artificial intelligence engineer;
Artificial intelligence specialist;
IoT systems software engineer;
Cloud IoT systems engineer;
Researcher;
Teacher in the system of secondary special, higher and postgraduate education;
Education manager.
Contacts
Madina Mansurova
Position: Head of the Department of Artificial Intelligence and Big Data, docent
Al-Farabi Kazakh National University
71 Al-Farabi Avenue, Almaty, Republic of Kazakhstan, 050040
phone: +77014151960