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Обычная версия сайта
2023/2024

Искусственный интеллект для бизнеса

Статус: Дисциплина общефакультетского пула
Когда читается: 3, 4 модуль
Охват аудитории: для своего кампуса
Преподаватели: Худов Никита Михайлович
Язык: английский
Кредиты: 3
Контактные часы: 32

Course Syllabus

Abstract

This course is designed for students who are interested in learning about the application of artificial intelligence in a business context. It is ideal for those who are pursuing careers in management, finance, analytics, or any field where data-driven decision making is important. Prior knowledge of AI is not required, but a basic understanding of business concepts is recommended. Course pre-requisites: - This course DOES NOT require any technical and engineering knowledge of AI as mainly the business/applied side will be discussed, but basic programming or ML skills will be beneficial. - Understanding of the basic business/management principles is required. - Practical understanding of the basic IT concepts (databases, operation systems, etc.) is required. - Access to any kind of LLM service is required (ChatGPT, GigaChat, Llama, etc.) is required.
Learning Objectives

Learning Objectives

  • Develop an understanding of how artificial intelligence can be applied to solve business problems and make data-driven decisions.
Expected Learning Outcomes

Expected Learning Outcomes

  • Define the basic concepts of artificial intelligence and how they can be applied in a business context
  • Analyze business problems and determine if AI is a viable solution.
  • Confidently use AI instruments (such as LLMs) to efficiently solve business problems.
  • Develop and implement AI strategies that align with business objectives.
  • Interpret and communicate AI results to stakeholders in a clear and understandable way.
  • Outline the latest technological trends and current areas of research.
  • Evaluate the current and potential impact of AI on the global economy
Course Contents

Course Contents

  • Introduction to AI
  • Analyzing business problems
  • Prompt Engineering
  • Developing and implementing AI Strategies
  • Communicating results
  • Recent trends and future projections
  • AI impact on the economy
Assessment Elements

Assessment Elements

  • non-blocking Assignments and Quizzes
  • non-blocking Midterm Exam
  • non-blocking Group Project
Interim Assessment

Interim Assessment

  • 2023/2024 4th module
    0.2 * Assignments and Quizzes + 0.5 * Group Project + 0.3 * Midterm Exam
Bibliography

Bibliography

Recommended Core Bibliography

  • Harvard Business Review Press. (2019). Artificial Intelligence : The Insights You Need From Harvard Business Review. La Vergne: Harvard Business Review Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2003692
  • Soni, N., Sharma, E. K., Singh, N., & Kapoor, A. (2019). Impact of Artificial Intelligence on Businesses: from Research, Innovation, Market Deployment to Future Shifts in Business Models.

Recommended Additional Bibliography

  • Narcisa Roxana MOȘTEANU. (2019). International Financial Markets face to face with Artificial Intelligence and Digital Era.