Introduction to Programming and Computing for Scientists​

The course covers broad programming aspects essential for scientists. 

The following aspects are addressed:

• Use of UNIX-based operating systems, such as Linux
• Overview of the use of programming in various scientific fields (Data analysis, simulation, etc.​)
• Overview of common programming languages such as C++ and Python
• Basic concepts of object-oriented software design
• Basic Software Engineering with a language (C++), use of Standard software construction tools in a UNIX-based environment, such as Linux (Gmake, gcc)
• Practical exercises in scientific data analysis and modelling
• Basic methods for software development in cooperation with others
• Distributed data processing

Form of teaching​​
Teaching uses a variant of Active Learning method, involving introductory lectures and hands-on problem solving exercises using computers​.
Lectures: 16​ hours​
​​Computer exercises​: ​32 hours

​Assessment​​
The course is assessed by the results of mandatory home assignments and the course project (a team work).
Grading scale: Fail, Pass, Pass with distinciton​​​

Literature​​
"​Problem solving with C++", W. Savitch (any edition)​