Bi9680enc Artificial Intelligence in Biology, Chemistry, and Bioengineering - practice

Faculty of Science
Autumn 2022
Extent and Intensity
0/1/0. 1 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: k (colloquium).
Teacher(s)
Faraneh Haddadi (seminar tutor)
Stanislav Mazurenko, PhD (seminar tutor)
Ing. Jan Velecký (seminar tutor)
Guaranteed by
prof. Mgr. Jiří Damborský, Dr.
Department of Experimental Biology – Biology Section – Faculty of Science
Contact Person: Stanislav Mazurenko, PhD
Supplier department: Department of Experimental Biology – Biology Section – Faculty of Science
Timetable
Wed 17:00–18:50 B09/316
Prerequisites
Bi9680en AI in Bioengineering || NOW( Bi9680en AI in Bioengineering )
No prior experience in programming is expected.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The main objective of this course is to provide students with hands-on experience in programming simple examples of machine-learning-based predictors in Python. The practicals will follow the theory presented during the lectures of Bi9680en. We will cover the basics of programming, some useful libraries for data analysis and machine learning, and create simple predictors for biologically-relevant data.
Learning outcomes
After completing the course, a student will be able to:
- understand the basics of the code flow;
- operate with basic types of variables, functions, if-conditions, and for-loops;
- operate the Spyder editor;
- implement a simple machine learning workflow in Python;
- train and validate simple predictors;
- reproduce an uncomplicated machine-learning study.
Syllabus
  • Introduction to programming in Python – the first code;
  • Booleans, if-conditions, for-loops, basic functions;
  • Introduction to NumPy and pandas libraries;
  • Hierarchical clustering;
  • Decision trees;
  • Cross-validation;
  • Case study in bioengineering.
Teaching methods
7 practical sessions in the computer lab, homework
Assessment methods
In order to pass, a student must complete a series of short homework assignments.
Language of instruction
English
Further Comments
The course is taught annually.
The course is also listed under the following terms Autumn 2020, autumn 2021, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2022, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2022/Bi9680enc