Page 32 - CED

Semester Module 4
Short course description:
The course is aimed at developing knowledge in the field of urban and rural management. In
particular, the organization of urban space, models of urban culture of megacities,
agglomerations, small and single-industry towns; features of the formation and development of
“Smart City”; monitoring the effectiveness of urban management and urban planning; economic
development of rural areas, employment and income of rural and urban populations; quality of
life of rural and urban populations; local government; making management decisions to improve
the socio-economic development of cities and rural areas
Expected learning outcomes:
Able to analyze and identify problems in the development of cities and rural areas; develop and
monitor the effectiveness of urban management and urban planning; manage city projects; are
able to determine approaches to the balanced development of rural areas, improving the quality
of life and creating a comfortable living environment in urban and rural areas; ways of
developing local self-government; make management decisions to improve the socio-economic
development of cities and villages

2. Project management
Credits 2
Module Module 4
Short course description:
The course is aimed at developing the competencies necessary for project management and
practical skills in the field of project management as a tool for increasing the efficiency of
government agencies and other organizations based on national and foreign standards in the
field of project management.
Expected learning outcomes:
They acquire skills in working with tools and methods of project management, developing
project documentation, are able to manage project stakeholders, deadlines, costs, resources,
content, procurement, quality, risks, communications within the project, and also understand
how to properly initiate and plan a project project efficiently activities and what to pay attention
to during further implementation and closure of projects.

3. Decision making based on data analysis
Credits 2
Module Module 4
Short course description:
The course is aimed at developing skills in statistical and economic processing of large data
sets; visualization and analysis, search for hidden patterns and processing algorithms.
Knowledge of methods of data analysis and further interpretation of the results obtained,
methods of reducing data dimensions, new methods of data analysis based on Data Mining
technology. Modern application software packages for solving problems of experimental data
processing are analyzed.
Expected learning outcomes:
Demonstrate the ability to select research technology, estimate costs and organize its
implementation; ability to perform analysis of research results using appropriate processing
methods and tools; the ability to choose a research method, modify existing ones and develop
new methods based on the objectives of a particular study.

4. Communications management
Credits 2
Semester Module 4
Short course description:
The course is aimed at developing a systematic understanding of the principles of building the
process of managing integrated communications in organizations of various types; studying an
integrated approach to building an organization’s communications with external and internal
stakeholders; mastering practical tools for effective communication; development of practical