LACDR PhD Portal
Basic Scientific Computing for Drug Discovery
We have developed an LACDR PhD course ‘basic scientific computing for drug discovery’, because data analysis with R and Python are rapidly becoming essential skills for modern scientists.
The course is split up in two courses:
- Basic scientific computing for drug discovery
- Basic scientific computing applications for drug discovery
Both courses are optional for LACDR PhD candidates. The information for the course ‘Basic scientific computing for drug Discovery’ is:
After following this course you will be able to use R and Python in your basic data manipulation and visualization tasks. You will be able to reformat data as needed, calculate summary statistics and you will be able to visualize results in publication ready graphs. Moreover, you will learn the basic structure of the language in such a way that it will become easier to follow more advanced topics such as Bioconductor or more advanced applications.
For the course ‘Basic scientific computing for drug discovery’ no prior programming experience is required. This course is mainly intended for experimentalists who need a better understanding what tools to select and how to apply these to analyze their data. For this reason we focus on basic principles and application of tools. After a brief introduction on programming concepts and language syntax the students will work on case studies.
Course program ‘Basic scientific computing for drug discovery’
During this course the following subjects will be treated:
- R and python syntax
- R and python data structures
- R and python objects, methods and functions
- reading and writing of data files
- data processing such as reshaping and aggregation
- making publication ready graphs
Credits - application
The course Basic scientific programming for Drug Discovery will give you 1,7 EC points in total. This means 48 education hours (of which 32 contact hours). For registration and more information, please go to the teamsite of the LACDR PhD group.
The information for the course ‘Basic scientific computing applications for drug discovery’ will follow later.