A Practical Introduction to Programming for Life Scientists

General data

Course ID:	1200-PROJ25
Erasmus code / ISCED:	13.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0531) Chemistry The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	A Practical Introduction to Programming for Life Scientists
Name in Polish:	A Practical Introduction to Programming for Life Scientists
Organizational unit:	Faculty of Chemistry
Course groups:
ECTS credit allocation (and other scores):	(not available) Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Full description:	Theoretical knowledge introduced during the project: 1) Programming Basics: • a program and a script; a short overview; example scripting and compiled languages • programming tools of trade: compiler, interpreter, debuger, profiler • data and algorithms that operate on it; programming paradigms • regular expressions 2) Elements of programming language (in Python or C++, to be chosen by a student): • variables • operators • loops • conditional statements • arrays • defining new functions • library modules 3) Most important numerical methods: derivatives, integration, solving equations with Newton method. Practical part of the project 1) Student will write several short programs of varying level of difficulty as assigned by a teacher. 2) Student will apply the programming skills to work with real research data resulting from biomolecular simulations

This course is not currently offered.

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