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Regular version of the site
Bachelor 2024/2025

AI for Business

Type: Elective course (Data Science and Business Analytics)
When: 3 year, 1, 2 module
Open to: students of one campus
Instructors: Mary Rumyantzeva
Language: English

Course Syllabus

Abstract

In this course, students will learn how to develop and apply AI solutions in real-world settings. They will explore how AI can improve business processes, help startups create AI-powered products, and drive innovation in creative fields. Students will research AI cases, propose specific AI applications to solve the given tasks and develop their own solution. Because this course is taught by industry professionals actively working in the field, students will gain insights directly relevant to today’s AI landscape.
Learning Objectives

Learning Objectives

  • The main purpose of this course is to equip students with the knowledge and skills necessary to understand, develop, and implement AI solutions across various industries. Students will gain practical experience in AI project management, from concept development to deployment, preparing them to contribute effectively to AI-driven initiatives.
Expected Learning Outcomes

Expected Learning Outcomes

  • Understand the fundamentals of AI application in business and creative industries.
  • Conduct thorough research and analysis of AI use cases.
  • Implement AI solutions from concept to execution.
  • Collaborate effectively in teams and manage AI projects.
  • Evaluate and address the ethical, legal, and social implications of AI technologies.
  • Present and defend AI project outcomes to clients or stakeholders.
  • Analyze the impact of AI technologies on various industries and forecast future trends.
Course Contents

Course Contents

  • Course Introduction
  • AI for Process Optimization
  • AI in Content Creation
  • Social, Psychological, and Anthropological Impacts of AI
  • Political and Legal Debates Surrounding AI
  • AI Representation in Film and Media
  • Current AI Trends Based on R&D Publications
  • AI Consulting Practices
  • Final Project Planning and Roadmap Development
  • Product Development with AI
  • Selecting AI Models and Technological Solutions
  • Delivering AI Products to Clients
  • Final Project Preparation and Ethics
  • Final Project Defense
Assessment Elements

Assessment Elements

  • non-blocking Seminar presentation 1
  • non-blocking Seminar presentation 2
  • non-blocking Seminar presentation 3
  • non-blocking Seminar presentation 4
  • non-blocking Seminar presentation 5
  • non-blocking Seminar presentation 6
  • non-blocking Project Progress 1
  • non-blocking Project Progress 2
  • non-blocking Project Progress 3
  • non-blocking Project Progress 4
  • non-blocking Project Progress 5
  • non-blocking Project Progress 6
  • non-blocking Final Project
Interim Assessment

Interim Assessment

  • 2024/2025 2nd module
    0.2 * Final Project + 0.04 * Project Progress 1 + 0.12 * Project Progress 2 + 0.04 * Project Progress 3 + 0.04 * Project Progress 4 + 0.04 * Project Progress 5 + 0.04 * Project Progress 6 + 0.08 * Seminar presentation 1 + 0.08 * Seminar presentation 2 + 0.08 * Seminar presentation 3 + 0.08 * Seminar presentation 4 + 0.08 * Seminar presentation 5 + 0.08 * Seminar presentation 6
Bibliography

Bibliography

Recommended Core Bibliography

  • Applied artificial intelligence : a handbook for business leaders, Yao, M., 2018

Recommended Additional Bibliography

  • Struhl, S. M. (2017). Artificial Intelligence Marketing and Predicting Consumer Choice : An Overview of Tools and Techniques. London: Kogan Page. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1494508

Authors

  • Абдулхакимов Мухиддин Мураджанович