Study program / study programs: INFORMATION SYSTEMS
Type and level of studies: Undergraduate applied studies
Subject: IT-Supported Business Decision Making
Status: compulsory
ECTS credits: 8
Course objective
The objective of this course is mastering the basic concepts in business decision making, as well as understanding the context of IT in the decision-making process. Rational business decision making requires a rational approach, and the goal of this course is to ensure that the student understands the difference between two types of management: the rational one, based on facts and science-based assessment, and that which is not science-based. Independent use of adequate software tools, understanding their roles, possibilities and limitations. Adequate business reporting.
Course outcome
A student who has successfully mastered the course will be able to:
- Identify a business problem
- Recognize an unsolvable problem
- State examples of business problems similar to the current problem
- Recognize the category of a business problem
- The differences between the categories of a problem
- Formulate a problem-solving strategy
- Choose software tools that might help solve a recognized problem, and understand the reasons for such selection
- Identify which of the possible software tools will be adequate for the problem
- Apply the selected tool and adequately report to the management in written form
- List and explain the basic functions of a digital control table, management information system, decision support system and expert system
- Actively use at least one software sool from each of the groups listed in the following item
- Know the basic statistical techniques necessary for using software tools
Course content
Theoretical teaching
- The concept of business problem
- Types of problems
- Problem complexity
- Categories of problems
- The concept of decidability
- Model for formulating a problem solving strategy
- Reporting in written form, consultant report
- Measuring the effects of a business decision
- Balanced Scorecard
- Software for managerial decision-making support
- Information systems for assistance with decision making
- Digital control board
- Excel as a tool for forming a digital control board
- Management information system
- Decision support systems
- The components of DSS. Building a DSS
- Expert systems
- Excel and R systems as platforms for ES and DSS development
- Correlation, linear regression, cluster-analysis, factor analysis and sensitivity analysis (ROC analysis) with software implementation examples