. "Artificial Intelligence"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Introduction to deep learning"@en . . "6" . "The course provides an introduction to key concepts, architectures, and algorithms for Deep Learning and its applications. It covers the following topics:\r\n\r\nPart One: Multilayer Peceptron and Backpropagation\r\n\r\nFrom a Single Layer Perceptron to Deep Learning: a historical perspective\r\nAlgorithms for training MLPs: Stochastic Gradient Descent and its variants; Backpropagation\r\nAlternative activation and loss functions; Initialization, Regularization, Dropout, Batch Normalization\r\nIntroduction to GPU-computing, Keras, TensorFlow; Hyperparameter Tuning\r\n\r\nPart Two: Deep Learning for computer vision and language processing\r\n\r\nConvolutional Networks: key architectures and applications; Transfer Learning\r\nRecurrent Networks: from Backpropagation Through Time to Attention Mechanism and Transformers\r\n\r\nPart Three: Generative Networks\r\n\r\nAutoencoders\r\nGenerative Adversarial Networks (GAN's)\r\nDiffusion Models\r\n\r\nDuring the course several state-of-the-art applications of Deep Learning to image recognition, computer vision, language modeling, game playing programs, etc., will be discussed. The course consists of weekly lectures, three programming assignments (in Python, TensorFlow) and the final written exam.\n\nOutcome: Not Provided" . . "Presential"@en . "TRUE" . . "Master of Astronomy and Data Science"@en . . "https://www.universiteitleiden.nl/en/education/study-programmes/master/astronomy/astronomy-and-data-science" . "120"^^ . "Presential"@en . "In the master’s specialisation Astronomy and Data Science you focus on development and application of new data-mining technologies, fully embracing modern astronomy as a data rich science. You combine the research curriculum in Astronomy with in-depth training in Computer Science.\n\nThe Astronomy and Data Science master’s programme is built on world-class computational astrophysics research as well as hightech industry expertise. It covers a wide range of research areas studying complex astronomical phenomena, including radiative transfer, computation of dynamical internal galaxy structures and hydrodynamical modeling of galaxy formation and evolution of the intergalactic medium.\n\nThis two-year Astronomy and Data Sicence programme uniquely combines advanced Astronomy courses of the Leiden Observatory and relevant courses from the Computer Science master’s programme of the Leiden Institute of Advanced Computer Science including advanced data mining and neural networks. To this end, the Leiden Observatory offers sophisticated computational facilities ranging from local computer clusters to high-performance systems at national and international computing centers.\n\nOutcome:\nDuring the programme, you learn to perform academically sound research and evaluate scientific information independently and critically. Without exception, you actively participate in current research within the institute and are individually supervised by our international scientific staff. Students with a Leiden degree in Astronomy become strong communicators and collaborators and can easily operate in an international setting. You will acquire extensive astronomical research experience and highly advanced analytical and problem solving skills."@en . . . . . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "2314.00" . "Euro"@en . "19600.00" . "Mandatory" . "Most graduates holding a MSc degree in Astronomy from Leiden University find work in many different capacities, including:\n\n1. Research: universities, observatories, research institutes\n2. Industry and consultancy: ICT, R&D, telecom, high technology, aerospace\n3. Finance: banking, insurance, pension funds\n4. Public sector: governments, policy makers, high schools\n5. Science communication: journalism, popular writing, museums\n6. Typical jobs for Astronomy graduates include:\n\nScientific researcher (postdoc, research fellow, professor)\n1. R&D engineer\n2. Consultant\n3. Data scientist, statistician\n4. Policy advisor, public information officer (e.g. Ministry of Foreign Affairs)\n5. High school physics teacher\n6. Scientific editor for magazines, newspapers and other media\n7. Research at Leiden Observatory\n\nIf you want to get more deeply involved in research after graduating in Astronomy, consider pursuing a PhD at Leiden Observatory. If you have completed the Leiden master’s degree programme in Astronomy, you are directly eligible for admission to our PhD programme"@en . "no data" . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .