2025/2026
Машинное обучение и ИИ в мировой экономике
Статус:
Маго-лего
Когда читается:
1, 2 модуль
Охват аудитории:
для всех кампусов НИУ ВШЭ
Язык:
английский
Course Syllabus
Abstract
Unlock the power of AI to shape the future of the global economy.This course aims to introduce students to the fundamentals of data manipulation and analysis, including an introduction to machine learning techniques, generative models, and basic neural network methods useful in the context of world economics. Students will engage in hands-on sessions using no-code/low-code AI tools such as KNIME* and explore how to use tools like ChatGPT to minimize coding and analyze data. The course will cover the technical aspects of AI, including practical implementation techniques, while addressing the ethical considerations, bias, and sustainability issues associated with AI.The course also includes seminars on the impact of large language models (LLMs) and other advanced deep learning technologies on the global economy, analyzing their effects on tasks such as coding and data analysis. Students will review recent research and developments in the field to gain a comprehensive understanding of how these AI advancements are shaping various economic sectors. By the end of the course, students will have acquired the knowledge and skills necessary to apply AI technologies in real-world economic scenarios, fostering innovation and strategic decision-making in the global economy.*About KNIME: KNIME is an open-source platform for data analytics, reporting, and integration. It provides a visual interface for building data workflows and implementing machine learning and AI solutions without the need for extensive coding. KNIME is particularly suitable for professionals in non-computer science domains, allowing them to harness the power of AI for data analysis and decision-making.