- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Saving, expenses, investments-introduction to practical finance using AI tools 2400-ZEWW1014-OG
-essential personal finance concepts
-preparing and analyzing personal budgets, balance sheet and cashflows
-financial planning: short- and long-term objectives
-understanding and managing personal financial risks
-understanding and managing inflation impact
-individual biases and pitfalls in money management
-techniques for managing everyday expenses
-balancing time and income budgets
-saving vs. investments
-portfolio decisions
-investment choices and risks
-real estate investments
-buy vs rent decisions, mortgage decisions
-credit/debt decisions and management
-AI tools and workflows for personal finance
-financial prompting techniques and chat assessment
-AI techniques for personal financial data analysis
Type of course
Course coordinators
Learning outcomes
On course completion the student knows how to:
-apply key financial concepts to personal finance problems
-prepare and analyze personal balance sheet and cashflows
-apply budgeting techniques
-understand short and long-term financial risks
-apply techniques of expense management
-analyze saving and investment choices
-analyze practical implementation and possible outcomes of personal financial decisions
-design and implement AI techniques including prompt engineering and data analysis in finance
-use AI tools in financial analysis and decision making
-design AI workflows and assess their results
Assessment criteria
assignments during the course
Bibliography
Author’s materials
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: