Statistics: Deep Learning and Artificial Intelligence Methods

Education facts

Code: STAN47

<p>Curious about how AI learns? This course gives you a practical and accessible introduction to neural networks and reinforcement learning. You’ll explore modern deep learning methods and see how they’re used in real-world situations. We’ll cover popular algorithms and models.</p><p>In this course you'll learn</p><ul><li>The basics of machine learning and what you need to know to understand deep learning</li><li>Different types of neural networks: feed-forward, convolutional and recurrent</li><li>A brief history of AI and neural networks, plus current research questions in the field</li></ul><p>This course suits you if you study statistics, computer science, cognitive science or mathematics. It’s also relevant if you’re interested in language, logic, philosophy or psychology.</p>

Entry requirements

STAN45 Statistics: Data Mining and Visualization, 7.5 ECTS, or STAN52 Statistics: Advanced Machine Learning, 7.5 ECTS, or DABN14 Data Analytics and Business Economics: Advanced Machine Learning, 7.5 ECTS, or 90 credits in Statistics and a course in linear algebra that covers matrix calculus, or the equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Statistics: Deep Learning and Artificial Intelligence Methods

  Lund University

  Lund

  Start date: 18 January 2027

  End date: 28 March 2027

  Pace of study: 50 %