QUEEN'S 25 - EPS INTERNATIONAL SUMMER SCHOOL
Programme Summary:
The "Responsible AI & Analytics for Business" Summer School module offers a comprehensive dive into modern business analytics, blending cutting-edge techniques with the essential ethical considerations of AI and data analysis. The module covers a broad range of topics, providing valuable insights into the rapidly evolving AI and analytics landscape.
A central focus is placed on responsible AI practices, such as fairness, transparency, accountability, and bias mitigation, ensuring the ethical application of AI in real-world business scenarios. Participants will gain hands-on experience with no-code tools, making analytics accessible even to those without prior coding knowledge.
Through interactive and practical labs and workshops, they will apply AI and analytics to solve real-world business challenges while critically examining the ethical considerations involved in responsible AI usage. By the end of the module, participants will have developed foundational knowledge, practical skills, and a strong awareness of the ethical landscape surrounding AI and business analytics.
Learning Outcomes:
- Develop a comprehensive understanding of core concepts in business analytics and AI, empowering informed decision-making.
- Leverage no-code tools to creatively solve business challenges.
- Identify and navigate ethical challenges surrounding AI and analytics, ensuring responsible and fair applications in business environments.
- Effectively communicate data-driven insights, translating complex analyses into clear, actionable strategies for diverse stakeholders.
- Assess the impact of AI and analytics on business performance.
Lecturer(s): Collective lecturers
School Programme
Day 1: School Welcome and Introduction
Day 2: Fundamentals of Analytics + Workshop
Day 3: Large Language Models (NLP/NLU) + Lab
Day 4: Responsible AI for Business + Workshop
Day 5: HR Analytics I + Lab
Day 6: HR Analytics II + Lab
Day 7: Marketing Analytics I+ Lab
Day 8: Marketing Analytics II+ Lab
Day 9: Data-Driven Decision-Making I + Lab
Day 10: Data-Driven Decision-Making II + Lab
Assessment:
Assessment will involve the following elements.
|
Attendance |
10% |
|
10 MCQs per day (from Day 2 - Day 10) |
90% |
*Please note: this is a draft programme and is subject to change.
QUEEN'S BUSINESS SCHOOL
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Queen's Business School offers world-class undergraduate, postgraduate, and executive education. In late 2023 Queen’s Business School opened the doors to an exciting expansion that will establish a benchmark of global excellence for one of the top business schools in the UK and Ireland.