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introduced  regulatory  instrument  and  (or)  requirement,  tightening  regulation,  which  allows
                   assessing the achievement of the goals of state regulation in the future
                   Expected learning outcomes:
                   Able  to  compare  the  benefits  and  costs  of  the  introduced  regulatory  instrument;  evaluate
                   regulatory acts in accordance with the new regulatory policy

                                         «7М04110 – Human Recourses Management»
                                                 MHRM – 2024 (1 year full-time)

                  It is necessary to dial 4 credits

                   1. Strategic planning and forecasting
                   Credits                                        2
                   Semester                                       2 (Spring semester)
                   Short course description:
                   The  course  is aimed at  developing knowledge of  the  basic principles  of  the  state planning
                   system,  the  architecture  of  documents  of  the  state  planning  system;  its  processes
                   (development,  implementation,  monitoring,  adjustment  of  documents);  skills  to  decompose
                   indicators according to relevant strategic directions, industries and areas, as well as regionally;
                   analyze and evaluate target indicators and performance indicators of documents of the state
                   planning  system;  use a  methodology for forecasting  the  main  indicators  of  socio-economic
                   development of the country and regions.
                   Expected learning outcomes:
                   Know the basic principles and architecture of documents of the state planning system, the
                   processes of the state planning system from development to adjustment of documents; are
                   able to decompose indicators according to relevant strategic directions, industries and areas,
                   as well as regionally; analyze and evaluate target indicators and performance indicators of
                   strategic and program documents; use a methodology for forecasting the main indicators of
                   socio-economic development of the country and regions; as well as form and develop strategic
                   approaches to managing the country and regions.

                   2. Project management
                   Credits                                        2
                   Semester                                       2 (Spring semester)
                   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
                   Semester                                       2 (Spring semester)
                   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.
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