Netherlands

This course enables students to understand the basic physiologic principles that underlie visual and auditory perception. The course introduces the sensory systems that are responsible for vision and hearing in humans. Central topics include the nature of the stimulus (physical attributes such as amplitude and frequency, and perceptual attributes such as intensity and color), the transduction process (the transformation of a physical stimulus into a neural signal leading to a subjective experience), the functional neuroanatomy of the human sensory system (the organization of sensory neurons into functional maps, columns, and pathways), and mechanisms for object perception (the organization of sensory features into meaningful percepts, for example, a face in a crowd or speaker at a loud party). Finally, the course introduces psychophysical and neuroscientific methods designed for measuring perception.

Companies such as Amazon, Airbnb, and LinkedIn build and manage powerful supply networks to create value. This course provides an understanding of these networks and their relationships with customers as well as suppliers. The digitization and innovation processes that govern these relationships are also examined. Students critically evaluate cutting-edge thinking on these topics and discuss implications for supply chain management, strategy, and marketing.

This course examines the basic overview of the solar system and its structure. It covers remote sensing data from Mercury, Mars, and the Moon; using Google Earth; age, morphology and development history of Earth; and planetary interior, surface, and atmospheric processes and their impact on planetary evolution and habitability.

This introductory course gives students a critical understanding of the core principles of journalism. Students explore what news is, how news values have developed through time, and they gain insights in the specifics of reporting, news writing, and interviewing. They learn to critically reflect on these specifics in light of current debates about what journalism is and should be in a digital and global age. Students develop journalistic skills by writing news stories and critically self-reflecting on the journalistic principles that guide their practice.

This course focuses on the applications of machine learning algorithms to real-world questions. The overall aim is to provide theories, techniques, tools, and practical experience for applying machine learning to tackle data science problems. The course lectures cover five parts: essential concepts and techniques of machine learning, classification, regression, and clustering; application - outlier detection; application - predictive process mining; application - natural language processing; and application - reinforcement learning. For each of the four application areas, students work in a team to conduct an assignment that applies machine learning algorithms to a real-world dataset.