Topics for Bacher and Master Thesis are always available. All Students enrolled in the Chemistry, Geology or Production Engineering Departments at University Bremen may apply.
Here you can find some mini lectures and educational presentations about different topics, held over the past years.
Next you can find Information about regular Lectures. Students from M.Sc. Chemistry, M.Sc. MCM and M.Sc. Promat (please contact me first) at University Bremen can choose the following lectures:
05-MCM-CM COMPUTATIONAL MATERIALS SCIENCE
Learning Contents:
The most important computational methods for the quantum mechanical modeling of materials in the electronic ground state will be discussed in detail. These methods will be applied in a practical course towards the end of the semester, after the lecture block is finished. The following aspects will be treated in the module: Hartree-Fock theory; electron correlation and post-Hartree-Fock methods; Density Functional Theory; Basis sets (Gaussian and plane-wave); calculations with periodic boundary conditions
Learning Outcomes, Targeted Competencies:
The students will have an understanding of the state-of-the-art computational methods in materials chemistry and mineralogy and will…
…be able to assess the reliability of a given computational method in the description of an experiment, e.g. when reading literature
…be able to devise basic computational protocols to calculate a desired property
…have first experiences in the usage of quantum mechanical program packages
Prior Knowledge:
Basic knowledge of quantum mechanics and molecular orbital theory
Course Type 1: Lecture (L) 3.0 SWS ( 42.0 h)
Course Type 2: Practical Laboratory (LP) 1.0 SWS ( 14.0 h)
Tutorial(s): –
Workload:
56.0 h presence time
84.0 h self-study
40.0 h exam workload
180 h total workload
Exam Type:
combination exam
Examination:
exam elements: 2
SL: 0
70 % oral exam
30 % internship report
Literature:
Cramer: Essentials of Computational Chemistry
Szabo/Ostlund: Modern Quantum Chemistry
Parr/Yang: Density Functional Theory of Atoms and Molecules
Martin: Electronic Structure: Basic Theory and Practical Methods
see: Introduction to Computational Materials Science
see: Practical Aspects of Computational Materials Science
Data Processing and Plotting in Chemistry
The course will cover lectures about basics in Python programming together with hands-on programming sessions.
• Overview of programming languages and plotting tools
• Structural/ scientific data bases
• Basics of Python programming: variables, lists, arrays; basic math; read/write; Functions/classes
• Processing of larger data sets from organic, inorganic, and physical chemistry
• Visualisation with Matplotlib
• Graphical visualisation and interpretaion of experimental data (e.g. IR or NMR spectra, XRD data, quantum chemical calculations)
The aim of the course is to learn how to process typical scientific data from chemical experiments and simulations. The students learn how to process their data with basic mathematical operations and how to plot and analyze the data at the level of scientific publishing. For this purpose the students will learn the basics of the programming language Python and how to plot data using Matplotlib.
More information will follow soon after in cooparat
Prior Knowledge:
Basic knowledge of chemical experiments; no programming knowledge needed!
Course Type 1: Lecture (L) 2.0 SWS ( 28.0 h)
Course Type 2: Practical Laboratory (LP) 2.0 SWS ( 28.0 h)
Tutorial(s): –
Workload:
56.0 h presence time
84.0 h self-study
40.0 h exam workload
180 h total workload
Exam Type:
combination exam
Examination:
exam elements: 2
SL: 0
50 % oral exam
50 % internship report
see: WDAT
05-MCM-CR1 Research Module Chemistry I
Learning Contents:
The research project typically consists of the synthesis of inorganic materials in crystalline or nano-crystalline form and their characterization. A small research project will be prepared, designed and carried out. Based on a self designed working plan synthesis and necessary analytical methods are to be carried out, evaluated and reported. First steps in writing a scientific publication could be done. The research module is a six week full-time practical class in the group of the selected supervisor to get insigth into the different scienific fields in chemistry.
Learning Outcomes, Targeted Competencies:
Creating an own research project
Organization of a self-designed research project
Synthesis, analysis and evaluation of scientific samples and data
Writing scientific reports, preparing scientific publications
Prior Knowledge:
The students should have a fundamental knowledge in materials chemistry, and they should be well trained in analytical methods (Different than Research Modul Chemistry II)
Course Type 1: Practical Laboratory (LP) 10.0 SWS ( 140.0 h)
Tutorial(s): –Workload:
140.0 h presence time
140.0 h self-study
80.0 h exam workload
360 h total workload
Exam Type:
combination exam
Examination:
exam elements: 1
SL: 1
100 % internship report
0 % presentation
Literature:
will be given at the beginning of the module
see: Homepage
05-MCM-CR2 Research Module Chemistry II
Learning Contents:
The research project typically consists of the synthesis of inorganic materials in crystalline or nano-crystalline form and their characterization. A small research project will be prepared, designed and carried out. Based on a self designed working plan synthesis and necessary analytical methods are to be carried out, evaluated and reported. First steps in writing a scientific publication could be done. The research module is a six week full-time practical class in the group of the selected supervisor to get insigth into the different scienific fields in chemistry.
Learning Outcomes, Targeted Competencies:
Creating an own research project
Organization of a self-designed research project
Synthesis, analysis and evaluation of scientific samples and data
Writing scientific reports, preparing scientific publications
Prior Knowledge:
The students should have a fundamental knowledge in materials chemistry, and they should be well trained in analytical methods (Different than Research Modul Chemistry I)
Course Type 1: Practical Laboratory (LP) 10.0 SWS ( 140.0 h)
Tutorial(s): –Workload:
140.0 h presence time
140.0 h self-study
80.0 h exam workload
360 h total workload
Exam Type:
combination exam
Examination:
exam elements: 1
SL: 1
100 % internship report
0 % presentation
Literature:
will be given at the beginning of the module
see: Homepage