Topics of term papers on TTA

Themes of term papers for students gr. 10903120

2022/2023 academic year

Development of content and learning tools on the topic:

1.                 Modern information technologies

The concept of information and information technology. Informatization and computerization. Technical and software. Classification and types of information technologies and software. The concept and types of information systems. Conceptual foundations of information technologies in teacher education. Problems and risks of introducing information technologies in teacher education. Perspective information technologies in teacher education.

2.                 Modern electronic offices

Classification of office equipment. Workplace equipment for a scientist. Modern communication systems.

3.                 Basic information processing software

Software. Means of storage, processing and visualization of data. Service tools.

4.                 Database management systems

Data structure, data models, creating a database and tables. Structured or unstructured data arrays.

5.                 Network technologies and the Internet

Computer networks. Search engines and bibliographic catalogs and services in the organization of scientific research.

6.                 Network technologies and the Internet

Fundamentals of web technologies. Cloud technologies.

7.                 Information security

Concepts of ensuring information security. Methods and means of information protection. Classes of typical information systems. Organizational and legal aspects of information protection and copyright.

8.                 Mathematical modeling and numerical methods

Models of systems, their purpose. Analytical and simulation modeling. The main stages of mathematical modeling. Direct and inverse problems of mathematical modeling. Simulation of stationary and dynamic systems through numerical differentiation and integration.

9.                 Math statistics

Methods of mathematical statistics, analysis and data processing. Systems and packages for mathematical calculations. Purpose, possibilities, examples of application.

10.             Optimization methods and decision support
systems

Optimization as the main stage of the computational experiment. Models and formulation of optimization problems in various subject areas. Projections, data dimension and ways to reduce it. Classification of methods for minimizing functions. Conditional optimization methods.

11.             Methods for solving variational problems. Decision support systems.

12.             The concept of expert systems and heuristic procedures. Overview and characteristics of standard data analysis software packages.

13.             The concept of expert systems and heuristic procedures.

14.             Overview and characteristics of standard data analysis software packages.

15.             Artificial intelligence, neural networks, evolutionary computing, fuzzy set theory.