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A Practical Introduction to Programming for Life Scientists

General data

Course ID: 1200-2PRNAPRZYWL
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. / (unknown)
Course title: A Practical Introduction to Programming for Life Scientists
Name in Polish: Wprowadzenie do programowania w naukach przyrodniczych
Organizational unit: Faculty of Chemistry
Course groups: (in Polish) Przedmioty do wyboru w semestrze 3M (S2-PRK-CHM)
(in Polish) Przedmioty do wyboru w semestrze letnim (S2-CH, S2-CHS)
ECTS credit allocation (and other scores): 3.00 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.
Language: Polish
Main fields of studies for MISMaP:

biology
biotechnology
chemistry
physics
Type of course:

elective courses
Mode:

Classroom
Short description:

The aim of this course is to introduce students to the principles of computer programming.
Full description:

  • Programming Basics:
    • a program and a script; a short over
    • dat and algorithms that operate on it; programming paradigms
  • Programming in practise: IDEs, editors and debuggers
  • Elements of a computer program:
    • variables and their types
    • conditional statements
    • loops
    • advanced data structures, e.g. a queue or a stack
  • Most important utility routines
    • operations on strings
    • I/O operations, working on files
Bibliography:

"Dive into Python" - free book available at http://www.diveintopython.net/
Learning outcomes:

After finishing this course, a student should:

  • be aware of basic concepts of computer programming
  • be able to formulate a formal algorithm for a simple problem
  • be able to write a computer program for a given algorithm
  • Knowledge of classic data structures such as a stack or a queue and algorithms that operate on them
Assessment methods and assessment criteria:

Online exam: oral exam on Google Meet

In class exam: written test with about 20 questions. A student may be absent on two lectures without excuse
Practical placement:

N/A

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Lecture, 30 hours, 24 places more information
Coordinators: Dominik Gront
Group instructors: Dominik Gront
Students list: (inaccessible to you)
Examination: Grading
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
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