Inhalt
[ 290GESKCCHK18 ] KV Computational Chemistry
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Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
1,5 ECTS |
B3 - Bachelor's programme 3. year |
Chemistry |
Matthias Bechmann |
1 hpw |
Johannes Kepler University Linz |
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Detailed information |
Original study plan |
Bachelor's programme Chemistry 2018W |
Objectives |
Successful students of this course are familiar with:
- basic methods and terminology of computational chemistry.
- hands-on use of common tools and workflows in the field
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Subject |
- high performance computing (HPC)
- software overview
- methods and terminology (HF, DFT, CC, CI MD, etc.)
- molecular geometry optimisation (minima, transition states, etc.)
- property calculations (ionisation, electron density, populations, vibrations, thermodynamic potentials)
- magnetic properties (chemical shielding, J-coupling, etc.)
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Criteria for evaluation |
- oral exam
- project report
- peer review of project report
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Methods |
- lectures
- tutorials
- exercises
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Language |
English |
Changing subject? |
No |
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On-site course |
Maximum number of participants |
25 |
Assignment procedure |
Direct assignment |
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