Skema > Summer schools > AI for Business > AI for Business programme courses




Programme courses

MONDAY, JULY 3 (09:00 – 12:00)

   Introduction to Artificial Intelligence Systems for Business

  • Defining Human-Centric AI

  • Applications of AI Systems in Business Tasks: overview based on type of processes and ethical implications

  • Applications of Generative AI in Creative Tasks and Implications on Business Creativity 

   Business case studies

  • Applications of AI systems in Retail

  • Applications of AI systems in Government

  • Applications of AI systems in Societal Challenges

TUESDAY, JULY 4 (09:00 – 12:00)

   Supervised Machine Learning Models and their Application to Business

  • Linear and Logistic Regression
    • Applications in Bad Debt
  • Decision Tree, Gradient Boosting, Random Forest
    • Applications in Sales and Marketing Campaigns

  • Artificial Neural Networks
    • Application in Fraud Detection

  • Supervised Vector Machine
    • Applications in Customer Acquisition

  • Factorisation Machines
    • Applications in Recommender Systems

   Forecasting Models

  • Introduction to Time Series

  • Stationary Time Series

  • Trend Models

  • Seasonal Models

  • Models with Explanatory Variables

  • Business Cases in Replenishment, Sales, and Hospitality

WEDNESDAY, JULY 5 (09:00 – 12:00)

   Optimisation Models

  • Introduction to Mathematical Optimisation

  • Linear Programming

  • Nonlinear Programming

  • Integer and Mixed Linear Programming

  • Decomposition algorithm

  • Quadratic programming solution algorithm

  • Business Applications in Workforce Planning, Call Centre, and Manufacturing

   Network Science

  • Network Analysis
    • Subgraphs
    • Connected Components, Bi-Connected Components, Reach, Core, and Communities

  • Centralities
    • Degree, Influence, Closeness, Betweenness, Eigenvector, PageRank, Hub, and Authority.

  • Business Applications in Customer Influence and Fraud Detection

  • Network Optimisation
    • Cycle, Clique, Path, Shortest Path, Transitive  Closure, Minimum Cut, Minimum-Cost Network Flow, Maximum Flow, Minimum Spanning Tree, Linear Assignment,  Topological Sort, Travelling Salesman Problem, and Vehicle Routing Problem. 
    • Business Applications in Supply Chain, Public Transportation, and Routing

THURSDAY, JULY 6 (09:00 – 12:00)

    Ethics in AI

  • Transparency and Accountability

  • Explainability and Interpretability

  • Fairness and Bias

  • Privacy and Security

  • Trust and Algorithm Aversion

  • Robotic services

FRIDAY, JULY 7 (09:00 – 12:00)

   Deep Learning – Computer Vision

  • Introduction to Deep Learning

  • Convolutional Neural Networks

  • Recurrent Neural Networks

  • Tuning a Deep Neural Network

  • Advanced Topics: Transfer Learning and

  • Reinforcement Learning

  • Business Applications in Default Detection for

  • Manufacturing

   Natural Language Processing and its Application in Marketing

  • Document Summarisation

  • Text Classification: Topics, Categories, Clusters

  • Sentiment Analysis

  • Speech Recognition

  • Neural Machine Translation

  • Ai and computational creativity: overview

  • Business Applications in Customer Service


  • Cultural event on Monday afternoon, July 3

  • Company visits on Tuesday afternoon, July 4

  • Creative Lab on Wednesday afternoon, July 5

  • Company visits on Thursday afternoon, July 6

The programme schedule is subject to modification 

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