772009 Automation for the synthesis and analysis of carbohydrates


Type
Lecture
Semester hours
2
Lecturer (assistant)
Pohl, Nicola Lucia
Organisation
Offered in
Sommersemester 2020
Languages of instruction
Englisch

Content

The study of nucleic acids and proteins is now driven by a wide variety of automated workflows and processes for synthesis and analysis that are not yet in place for the study of carbohydrates. This class will explore the state-of-the-art in techniques to identify and make carbohydrates and evaluate the challenges that remain for the widespread adoption of these techniques among nonexperts. Discussions will include the molecular basis for particular challenges in sugar as compared to nucleic acid and protein chemistry with an introduction to automation platforms for chemical synthesis and artificial intelligence/machine learning methods to evaluate chemical data.

Previous knowledge expected

Basic organic chemistry

Objective (expected results of study and acquired competences)

Students are able to critically assess state-of-the-art techniques for carbohydrate analysis and synthesis and identify the remaining challenges in this area, including the development of automated workflows.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.