Faculty of Mathematics and Computer Science, Physics, Geography
Course Title: 0701 MP-04 Quantum Field Theory
Course Description
Content:
- Quantization of scalar, vector and spinor theories
- Interactions and Feynman diagrams
- Elementary processes of QED and QCD
- Loop corrections (g-2)
- Functional methods
Faculty
Mathematics and Computer Science, Physics, Geography
Institute
Institute of Theoretical Physics
Lecturer
Prof. Dr. Christian Fischer
Study Period (dd/mm/yy)
11/04/22-15/07/22
Mode and Time
Asynchronous
Online Tool for Teaching
Webex, ILIAS
Language of Instruction
English
Target Group
Master in the field of Theoretical Physics
Prerequisites
Courses in Quantum Mechanics and Advanced Quantum Mechanics
ECTS
6
Course Title: 0702 Climate modelling: Energy Balance Models
Course Description
Climate is the result of various interactions between the five principal subsystems—atmosphere, hydrosphere, biosphere, land surface, and cryosphere—which collectively contribute to the climate system. Each component is connected in different ways to each other such that changes in one component may give rise to changes elsewhere. The climate system is powered by the solar radiation and its time evolution is affected by the own internal dynamics and changing external factors (forcings) that influence the climate.
The block course is engaged with the general introduction to climate and climate modelling. Energy Balance models are further elaborated in a virtual online session. Participants will also have a hands-on practice on use of real climate model output, statistical analysis and visualisation.
Prior to the block course, participants do an extensive literature research on climate models and prepare relevant presentations in small groups (max. 3 students; 30 min). The topics of the presentations can be selected from the following list:
- Energy Balance Models
- Earth System Models of Intermediate Complexity
- General Circulation Models
- Earth System Models including unstructured grids
- Regional climate models
- Climate Impact models
- Machine Learning tools implemented in Earth System Models
The structure of the presentation should follow:
- Motivation
- Introduction to the basic model concept
- State of the art of current literature
- Example of application of the respective model
- Short discussion on pros and cons of the model
- Summary and outlook for potential future applications
A final report is prepared after the block course based on the literature and hands-on experience.
Faculty
Mathematics and Computer Science, Physics, Geography
Institute
Institute of Geography
Lecturer
Dr. Elena Xoplaki
Study Period (dd/mm/yy)
Block course (2,5 days), in the first week of the semester (11/04/22-15/04/22)
Mode and Time
Synchronous, Time (CET): 09:00-16:00
Online Tool for Teaching
MS Teams
Language of Instruction
English
Target Group
Bachelor, Master in the field of natural sciences
Prerequisites
Participants should have weather/climate knowledge. The course is structured as a block and its basic prerequisite is the participants’ motivation to learn about climate and climate models. Computer skills are welcome.
ECTS
3
Course Title: 0703 Meshless Finite Difference Method
Course Description
Introduction into the meshless version of the Finite Difference Method, where partial differential equations are discretized with the help of numerical differentiation formulas on irregular nodes. Both polynomial and reproducing kernel-based approaches will be covered. Special attention will be paid to the theoretical foundations in the fields of approximation theory and reproducing kernel Hilbert spaces.
Faculty
Mathematics and Computer Science, Physics, Geography
Institute
Institute of Mathematics
Lecturer
Prof. Oleg Davydov
Study Period (dd/mm/yy)
11/04/22-15/07/22
Mode and Time
Synchronous, Time (CET): Mondays 10:00-12:00, Thursdays 10:00-12:00
Online Tool for Teaching
Webex, ILIAS
Language of Instruction
English
Target Group
Bachelor, Master
Prerequisites
Basic knowledge of partial differential equations and Hilbert spaces; B.Sc. lecture course on numerical analysis
ECTS
6
Course Title: 0704 Renewable Energy Transition MK-108-EN-DI
Course Description
In this course, students will learn the very basic physical and technical skills to engage with the field of energy systems at times of global climate change. We will build upon this knowledge and cover different technologies for renewable energy generation and illustrate their advantages and disadvantages and their possibilities on a global scale. We will examine why and how additional technologies are required for a renewable energy transition beyond photovoltaics or wind, to transport, store and make use of the energy. We will address this complexity in the different energy sectors: residential, industrial, heating and mobility.
As the requirements for energy systems can differ substantially, e.g. the available resources or surrounding conditions, we will explore different energy systems and possible energy futures with the help of energy and system dynamics models, where energy trading is an essential asset.
Due to the multitude of drivers for renewable energy transitions, we will focus on the interlinkage between energy and overpopulation, climate change, the global water cycle and the CO2 budget. In this context, we will discuss how a transition to renewable or even sustainable energies can help us meet global challenges on the road of sustainable development.
Faculty
Mathematics and Computer Science, Physics, Geography
Institute
Institute of Physics II
Lecturer
Prof. Michael Düren
Study Period (dd/mm/yy)
11/04/22-15/07/22
Mode and Time
Synchronous, Time (CET): Wednesdays, 14:30-18:00
Asychronous (recorded)
Online Tool for Teaching
Ilias and StudIP; Video Tool to be defined
Language of Instruction
English
Target Group
Master
Prerequisites
ECTS
6