As digital transformation continues to reshape economics and business environments, data-driven decision-making has become an essential skill for researchers. Quantitative research methods provide useful tools for analyzing economic and business problems, forecasting and optimization in uncertain environments.
As part of our webinar series, NextTechTalents project is pleased to invite you to this webinar, delivered by Ventspils University of Applied Sciences (Latvia).
What You Will Learn
The webinar will be a mix of theoretical and practical approaches to quantitative research methods. Participants will be introduced to quantitative research methods and explained how quantitative methods are applied in economics and business decision-making. They will learn the fundamentals of different optimization methods and basic principles of financial mathematics. Participants will be shown how AI tools such as ChatGPT can support investment portfolio construction and analysis.
Training Objectives
The aim of the training is to:
- Teach participants the main principles of quantitative research methods.
- Demonstrate how optimization techniques can support economics and business decisions.
- Explore the integration of AI into quantitative research.
- Strengthen participants’ analytical and digital competences in the context of digital transformation.
Agenda
- Welcome
- Difference between qualitative and quantitative research methods
- Quantitative optimization methods
- Stochastic optimization methods
- Financial mathematics and portfolio optimization: building an investment portfolio using AI
- Close
About the Expert Speaker
Sergejs Hiļķevičs is a professor and researcher at Ventspils University of Applied Sciences with more than 40 years of experience in teaching. His fields of knowledge include economics, business, IT and physics.
