Teaching

Mathematics for Data Science

MSc, Hertie School, 2022

Mathematics is foundational to data science. This course aims to deliver a compact and tailored introduction to the core mathematical concepts of data science. Linear algebra, probability and statistics, and optimisation are mathematical pillars underlying the practice of data science. The course covers the core concepts across these three pillars and accompanying modern computational tools of mathematics.

Managing digitalisation and artificial intelligence in government

MSc, Hertie School, 2021

Artificial Intelligence and Machine Learning have been dominating the headlines in the last few years coming with a lot of promises also for transforming government work. Whether it is to gain efficiency in current processes, improve serviced delivery or transform decision making and service delivery, there are many ways to utilise artificial intelligence technologies in a government context. What do these new technologies mean? What are these technologies and where can they be applied in a government context? What benefits can public sector organisations derive from deploying such technologies and how can they go about and embed them to deliver tangible benefits? What are the key management challenges in implementing such technologies and how can they be addressed? This course aims to demystify these concepts by looking at government implementation experiences. We look beyond the hype and focus on the real challenges and opportunities of practical applications of AI for government organisations. We also consider challenges and opportunities arising from ethical, fair, transparent, and accountable deployment of artificial intelligence and will look at key factors for successful implementation such as data management and data sharing, public sector innovation, project management, change management, cross-sectoral collaboration and safe implementation.

Machine Learning

MSc, Hertie School, 2020

Machine learning is a core technology of artificial intelligence and data science that enables computers to act without being explicitly programmed. Recent advances in machine learning have given us, inter alia, self-driving cars, AlphaGo, Amazon and Netflix. This technology has also allowed us to predict armed conflict and post-electoral violence, detect fake news, develop targeted provision of care and public services and implement early policy interventions.

Natural Language Processing with Deep Learning

MSc, Hertie School, 2020

Natural language processing (NLP) is a key technology of the information age. Automatically processing natural language outputs is a key component of artificial intelligence. Applications of NLP are everywhere because people and institutions largely communicate in language. Recently, statistical techniques based on neural networks have achieved a number of remarkable successes in natural language processing leading to a great deal of commercial and academic interest in the field. This course provides an overview of modern data-driven models towards richer structural representations of how words interact to create meaning. We will discuss salient linguistic phenomena and successful computational models. We will also cover machine learning techniques relevant to natural language processing. In this course, students will gain a thorough introduction to cutting-edge research in deep learning for NLP. Through lectures, assignments and a final project, students will learn the necessary skills to design, implement and understand their own neural network models.

AI for Decision Makers

Executive, Hertie School, 2020

Artificial intelligence, machine learning and data science have been dominating the headlines in the last few years. But what do they all mean? What are these technologies and how are they linked? What benefits can organisations and businesses derive from deploying such technologies and how can they go about embedding them to deliver tangible benefits? What are the governance implications of artificial intelligence deployment? This course aims to demystify these concepts and highlight direct business and societal benefits. Navigating the way through the complex maze of these rapidly evolving technologies can be non-trivial for organisations of different sizes and market maturity. We will look beyond the hype and focus on the real challenges and opportunities of practical applications of such technologies for organisations. Whether it is to gain efficiency in a current business model or transform decision making and product or service delivery, there are many ways to utilise artificial intelligence technologies. We will also consider the challenges and opportunities arising from ethical, fair, transparent and accountable deployment of artificial intelligence.