n.BA.XX.MDMNM.23HS (Numerical Methods) 
Module: Numerical Methods
This information was generated on: 16 May 2024
No.
n.BA.XX.MDMNM.23HS
Title
Numerical Methods
Credits
2

Description

Version: 2.0 start 01 August 2023

 

Study Programme Biotechnology / Chemistry
Regulations Applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Biotechnology degree programme

RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Chemistry degree programme
Module Type  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 5th Semester
Module Coordinator Prof. Dr. Jürgen Stohner
Telephone / E-Mail +41 (0)58 934 54 93 / juergen.stohner@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 Prof. Dr. Jürgen Stohner and further lecturers
Entrance Requirements IT Skills within the Bachelor's Degree Programme
Learning Outcomes and Competencies Digital, computer-assisted methods are at the forefront of the life sciences. Using informatics, models for chemical or biotechnological questions are continually being developed and numerically processed. Numerical methods allow models to be tested for their practicality and adjusted if necessary. By the end of the module, students will be able to:

Understand and apply numerical methods of quantum chemistry and fluid dynamics using an ‘open source’ programme (e.g., ORCA).
Module Content Numerical methods are explained using examples from computer-assisted chemistry, with a focus on the practical application of selected examples in structure optimisation and spectrum calculations (UV, IR, NMR, etc.). Numerical methods with applications from fluid dynamics, relevant but not limited to biotechnology, also form part of the module. 
Follow-up Modules -
Methods of Instruction  Face-to-face and online
Digital Resources Relevant resources will be announced before the start of the course.
Lesson Structure / Workload  
 Contact Hours 30
 Guided Self-Study 15
 Independent Self-Study 15
 Total Workload 60
Classroom Attendance Yes
Assessment
  • Oral exam at the end of the semester 50%
  • Written assignment 50%
Language of Instruction  German/English
Comments -

 

Course: Numerical Methods
No.
n.BA.XX.MDMNM.23HS.V
Title
Numerical Methods

Note

  • No module description is available in the system for the cut-off date of 16 May 2024.