| Module | Topics Covered | Suggested Readings | Practical Projects | Additional Resources |
|---|---|---|---|---|
| Machine Learning | Supervised Learning, Unsupervised Learning, Feature Engineering, Model Evaluation | "Pattern Recognition and Machine Learning" by Christopher Bishop, "Introduction to Statistical Learning" by Gareth James et al. | Implementing linear regression, logistic regression, and decision trees, Feature engineering and data preprocessing | Coursera - Machine Learning by Andrew Ng, Kaggle - Machine Learning Competitions |
| Deep Learning | Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning | "Deep Learning" by Ian Goodfellow et al., "Neural Networks and Deep Learning" by Michael Nielsen | Building and training deep neural networks for image and text data, Implementing transfer learning with pre-trained models | Coursera - Deep Learning Specialization, TensorFlow Tutorials |
| Reinforcement Learning | Markov Decision Processes, Policy Gradients, Q-Learning, Deep Q-Networks | "Reinforcement Learning: An Introduction" by Sutton & Barto, "Algorithms for Reinforcement Learning" by Csaba Szepesvári | Developing reinforcement learning agents for game playing, Implementing policy gradients and Q-learning algorithms | OpenAI Gym, Coursera - Reinforcement Learning Specialization |
| Inference and Causality | Causal Inference, Bayesian Networks, A/B Testing, Counterfactual Analysis | "Causal Inference in Statistics: A Primer" by Judea Pearl et al., "The Book of Why" by Judea Pearl & Dana Mackenzie | Conducting causal inference analysis on marketing campaigns, Implementing Bayesian networks for decision making | Coursera - Causal Inference, DataCamp - Introduction to A/B Testing |
| Seminar: Current Topics in AI | Recent Advances in AI, Ethical AI, AI in Industry | Research papers from conferences like NeurIPS, ICML, and CVPR, Articles from AI-focused journals and magazines | Reviewing and presenting recent AI research papers, Writing a research proposal on a current AI topic | ArXiv.org - Artificial Intelligence, Google Scholar |
| Introduction to AI in E-Commerce and Marketing | AI Applications in E-Commerce, Customer Analytics, Marketing Automation | "Artificial Intelligence in Practice" by Bernard Marr, "AI for Marketing and Product Innovation" by Pradeep et al. | Developing AI models for customer segmentation and targeting, Implementing marketing automation tools using AI | MIT OpenCourseWare - AI in E-Commerce, DataCamp - Marketing Analytics |
| Module | Topics Covered | Suggested Readings | Practical Projects | Additional Resources |
|---|---|---|---|---|
| Demand Forecast and Inventory Control | Time Series Analysis, Forecasting Models, Inventory Optimization | "Time Series Analysis and Its Applications" by Shumway & Stoffer, "Inventory Management: Non-Classical Views" by D. P. Mishra | Developing time series forecasting models for demand prediction, Implementing inventory control algorithms | Coursera - Time Series Analysis, Kaggle - Time Series Forecasting |
| AI in Marketing and Analytics | Predictive Analytics, Marketing Mix Modeling, Customer Lifetime Value | "Marketing Analytics: Strategic Models and Metrics" by Stephan Sorger, "Predictive Analytics" by Eric Siegel | Implementing predictive analytics for marketing campaign optimization, Building models to predict customer lifetime value | Coursera - Marketing Analytics, DataCamp - Predictive Analytics in Marketing |
| Personalization and Recommender Systems | Collaborative Filtering, Content-Based Filtering, Hybrid Recommender Systems | "Recommender Systems: An Introduction" by Dietmar Jannach et al., "Recommender Systems Handbook" edited by Ricci, Rokach, and Shapira | Developing collaborative filtering and content-based recommender systems, Implementing hybrid recommendation models | Coursera - Recommender Systems, Kaggle - Recommender Systems |
| Master Thesis | Independent Research, Practical Application, Thesis Writing | "How to Write a Thesis" by Umberto Eco, Research papers related to the thesis topic | Conducting independent research on a chosen topic in AI applied to marketing and e-commerce, Writing and defending a master thesis | Purdue OWL - Writing a Thesis, Zotero - Research and Citation Management |
This table format provides a comprehensive overview of the curriculum with links to courses and additional resources for each module.