Economic Intelligence

Course: Business administration and consulting. Double Degree option with the Unіversity of Macerata, Italy

Structural unit: Faculty of Economics

Title
Economic Intelligence
Code
ВК 1.3
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
3
Learning outcomes
PLO 3. To plan and conduct own marketing research, analyze its results and justify effective marketing decisions under uncertainty. PLO 5. To present and discuss the results of scientific and applied research, and marketing projects in national and foreign languages. PLO 8. To use methods of interpersonal communication to meet collective challenges, negotiate, conduct scientific discussions in the sphere of marketing. PLO 11. To apply the methods of marketing strategic analysis and interpret its results to improve a market player’s activity. PLO 15. To collect necessary data from different sources, process and analyze its dynamics using modern methods and specialized software.
Form of study
Prerequisites and co-requisites
1. A necessary condition for successful mastery of the subject is prior training of students in economics (macro- and microeconomics) and computer science, disciplines "Accounting", "Finance", etc. 2. Knowledge of the basic foundations of economics, finance, management and informatics.
Course content
This course provides an introduction to business intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into actionable information and support business decisions. Business intelligence requires knowledge of the fundamentals of data storage and retrieval, so this course explores logical data models for both database management systems and data warehouses. The subject of study of the academic discipline is the theoretical and practical provisions of the analysis of business processes.
Recommended or required reading and other learning resources/tools
Planned learning activities and teaching methods
Lectures – 14 hours. Seminars - 12 hours. Independent work - 64 hours.
Assessment methods and criteria
Oral presentation Survey blitz (written task) Performance of calculation and analysis tasks Presentation Independent work Modular control work (MCR) Assessment is carried out during the semester of all types of work, including independent work. The defense of analytical and calculation tasks and presentations takes place in laboratory classes after the end of the teaching of the topic in the lecture session, but no later than 2 weeks after the end of the topic.
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers

Department of Insurance, Banking and Risk Management
Faculty of Economics

Departments

The following departments are involved in teaching the above discipline

Department of Insurance, Banking and Risk Management
Faculty of Economics