README.md

Master in Applied Artificial Intelligence in Marketing and E-Commerce Curriculum

Semester 1

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

Semester 2

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.