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249 search results
Course title | City | Start date | Workload |
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IKT724 Deep Learning for Engineers
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Grimstad | - | 5 ECTS |
University of Agder
ContentsIn this course, we cover the mathematical and algorithmic foundations of deep neural networks (DNNs), as well as the development of skills at designing and training them for different problems, placing deep learning in the context of Electrical En |
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Industrial Mycology
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Kgs. Lyngby | - | 2.5 |
Technical University of Denmark
General course objectives:The student will get a broad understanding of important filamentous fungi in agriculture, food production, indoor environments, pharma and biotech, both as contaminants and as production organisms. The course will give the studen |
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Industrial Organic Chemistry
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- | 3cr | |
Tampere University
Core content· Essential products of industrial synthesis· Syntheses based on different raw materials: coal, oil, natural gas· Synthesis of monomers for polymer production· Synthesis of organic commodity chemicals· Products of biorefineryAdvanced Knowledge |
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Industry-academia collaboration
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Karlskrona | January 2025 | 3 ECTS |
Blekinge Institute of Technology
The aim is for the doctoral student to acquire advanced knowledge and skills in the industry-academia co-production. The course will discuss the following aspects: Introduction to the process of co-production between industry and academia. The main phases |
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Introduction to Aircraft Engineering
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- | 5cr | |
Tampere University
Core content· Review of fluid mechanics fundamentals.· Introduction to the air transport system.· Historical development of the air transport system.· Classification of flight vehicles.· Strategic importance of A/C engineering.· Introduction to lighter-than- |
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Introduction to applied statistics and R for PhD students
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Kgs. Lyngby | - | 5 |
Technical University of Denmark
General course objectives:Make the participants able to perform a standard statistical analysis of their own data and relate the results to the practical application. The participants will be able to carry out statistical analyses using the statistical pa |
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Introduction to Bayesian inverse problems
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Kgs. Lyngby | - | 5 |
Technical University of Denmark
General course objectives:Bayesian inversion is the technology of characterization and management of randomness in computational models of real-world applications. It blends theories and methods across stochastic analysis, statistical modeling and scienti |
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Introduction to chemical modification of protein therapeutic...
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Kgs. Lyngby | - | 2.5 |
Technical University of Denmark
General course objectives:This course aims to cover an introduction to the chemical modification of therapeutic proteins. This is an advanced technique of great importance to the future production of therapeutic proteins, therefore the modification of the |
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Introduction to econometrics for Innovation and Entrepreneur...
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Kgs. Lyngby | - | 3 |
Technical University of Denmark
General course objectives:The course aims at providing a basic understanding of econometric analysis using a hands-on approach.Learning objectives:A student who has met the objectives of the course will be able to:Apply a range of statistical tools using |
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Introduction to Nanochemistry: Nanoparticles
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- | 2cr | |
Tampere University
Core Content· Nanomicroscopy methods· Plasmonics and metal nanoparticles· Quantum confinement and semiconductor quantum dots· Carbon nanomaterials |