Course: Advanced Computer Skills

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Course title Advanced Computer Skills
Course code KPE/CS
Organizational form of instruction Lecture + Seminar
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 5
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Assenza Gaudenz, prof. Ph.D.
  • Škop Michal, Mgr. Ph.D.
Course content
Students will analyze (preferably their own) data using such tools as Google Fusion Tables, Google Spreadsheets, Libre/OpenOffice (Excel), R, Google Charts API etc. The other part of the course will be devoted to the basics of web-site creation (HTML, XAMPP/Php, Mysql, jQuery Mobile).

Learning activities and teaching methods
Dialogic Lecture (Discussion, Dialog, Brainstorming), Training in job and motor Skils
Learning outcomes
The main goal of this course is to improve student skills in interfacing with computer hardware and software of the next generation both for their use at the university and in their future professional lives. The applied goal of the course is to teach students to work with the up-to-date analytical and visual tools and to publish (not only automatically) the results of their analysis on the web
Students will learn how to work with the analytical and visual tools, which they will use to analyze their own data. By creating their basic websites students will be able to better understand the functioning of the web.
Prerequisites
There are no formal prerequisites.

Assessment methods and criteria
unspecified
The course will be evaluated based on the preparation of mini-projects, which will analyze data. The outcomes of the mini-projects will be made public on the web. Included in the evaluation will also be a short presentation dealing with the analyzed data.
Recommended literature
  • Hastie T., Tibshirani, R., Friedman, J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester