Kursbereich: Soziale Arbeit Bachelor – Studiengänge
campUAS
Suchergebnisse: 2052
Kursbereich: Soziale Arbeit Bachelor – Studiengänge
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Kursbereich: Informatik Studiengänge
Kursbereich: Bachelor-Studiengänge
Kursbereich: Bachelor-Studiengänge
Introduction - Energy "consumption"
microeconomics
electricity markets I – history and basic structure
electricity markets II – the power exchange
Introduction to game and auction theory
electricity market III – today´s challenges
Capacity market – functioning
The German Renewable Energies Act (EEG)
Renewable energy auctions I
Renewable energy auctions II – strategic bidding behaviour
electricity markets IV – market distortions
Capacity market II – distortions from RES
balancing energy market
microeconomics
electricity markets I – history and basic structure
electricity markets II – the power exchange
Introduction to game and auction theory
electricity market III – today´s challenges
Capacity market – functioning
The German Renewable Energies Act (EEG)
Renewable energy auctions I
Renewable energy auctions II – strategic bidding behaviour
electricity markets IV – market distortions
Capacity market II – distortions from RES
balancing energy market
Kursbereich: M.Eng. Renewable Energy
Introduction
Counting emissions and voluntary emission market
The big market failure?
Pricing carbon
International cooperation for an international problem
From theory to practice -- the EU ETS
Assessing the impact of the EU ETS
Subsidizing RES
Decoupling the EU ETS from demand-side effects
Building wind power plants in Germany
Kursbereich: M.Eng. Renewable Energy
This course provides an introduction into machine learning theory including mathematical foundation. It covers the following areas:
- Is statistical or machine learning possible? (Outlook Vapnik-Chervonenkis theory, VC Dimension and Limit)
- Statistical/Machine learning: Supervised, unsupervised, reinforcement learning, classification, regression
- Probabilistic and non-probabilistic methods
- Different models:
- Linear model
- Kernel methods
- Support Vector Machines
- Bayes methods
- Gaussian processes
- MCMC and particle filters
- Neural networks
- Genetic algorithms
- Model selection
- Overfitting and regularization
- Bias-Variance tradeoff, error and noise
- Training, testing, validation o Curse of dimensionality
- Vapnik-Chervonenki theory, Hoeffding’s lemma, VC dimension and VC inequality
- Structural Risk Minimization (SRM), Occham’s Razor
- Overview of selected application fields
- Consequences of statistical learning theory
- Philosophic implications (Are data more important than theories? Where are the limits of statistical learning theory?
- Ethical implications for society, principal problems of algorithmic decisions (Information privacy, individual freedom, checks-and balances of citizens, corporations, states etc.)
- Lectures are accompanied by practical exercises with respect to theories and concepts, supported by the use of appropriate software
Kursbereich: Informatik Studiengänge
This module Unit 6: “Pattern Oriented Software Architecture” covers pat- terns and usage of patterns in software architectures.
Upon completion of this course, the student is able to:
- understand the motives of the pattern community,
- distinguish between different types of patterns,
- apply patterns in the design of Safety Critical Systems (SCS),
- discover patterns in existing software projects1, and
- assess new developments of pattern catalogs and languages.
We will cover the following material
- Software architecture
- Origins of the pattern movement
- Pattern-oriented software architecture: Architectural patterns, Design patterns, Idioms
- Application-specific pattern systems including many of the famous Gang of Four Patterns (GoF) [GHJV95]
- Patterns for software testing
- Pattern languages
- Critique and alternatives, e.g. frameworks
Kursbereich: Informatik Studiengänge
Notwendigkeit des Projektmanagements
Grundlagen des Projektmanagements
Strukturplanung
Terminplanung
Kostenplanung
Kapazitätsplanung
Risikomanagement
Projektsteuerung
Berichterstattung
Beispielprojekte
Kursbereich: B.Eng. Elektrotechnik und Informationstechnik
Dieses Schwerpunktmodul befasst sich über drei Semester mit verschiedensten Formen von Sozialer Arbeit, die in einem (mehr oder weniger direkten) Kontext eines Strafverfahrens erfolgt. In diesem Bereich der Arbeit mit von Straftaten Betroffenen oder Personen, die selbst mit grenzüberschreitendem Verhalten auffallen/auffielen oder kurz davor sind, erfolgt auch das im Schwerpunkt erforderliche 400 Stunden-Praktikum. In 13.2 wird in den Schwerpunkt eingeführt, 14.2.1 und 14.2.2 sind praktikumsbegleitende Seminare, die die zugrundeliegende Theorie bzw. Themenfelder vertiefen und in Reflektionsveranstaltungen den Theorie-Praxis-Transfer und die Professsionalisierung der Haltung und Arbeitsweise fokussieren.
Kursbereich: Fachbereich 4 Soziale Arbeit und Gesundheit
Kursbereich: Fachbereichsübergreifende Angebote
