Course detail

Data processing and analysis

FAST-BUA009Acad. year: 2024/2025

Course is focused on acquiring the ability to process large non-homogeneous data files, to use the tools available for their analysis and to present the results according to typographic and graphics rules.

Language of instruction

Czech

Number of ECTS credits

2

Mode of study

Not applicable.

Guarantor

doc. Mgr. Tomáš Apeltauer, Ph.D.

Department

Institute of Computer Aided Engineering and Computer Science (AIU)

Entry knowledge

Technical English basics. Working with MS Word and MS Excel. Working with Google tools (email, cloud storage, calendar).

Rules for evaluation and completion of the course

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Aims

Not applicable.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Pecinovský Rudolf, Začínáme programovat v jazyku Python, 2020, Grada (CS)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BPC-EVB Bachelor's 2 year of study, summer semester, compulsory

  • Programme CZV1-AKR Lifelong learning

    specialization PBC , 1 year of study, summer semester, compulsory

Type of course unit

 

Exercise

26 hod., compulsory

Teacher / Lecturer

Ing. Josef Plášek, Ph.D.
Ing. David Jun

Syllabus

1. Internet security, cloud technologies. 2. Shared documents. 3. Basics of working in spreadsheets. 4. Data verification, data import. 5. Graphical outputs. 6. Database applications in spreadsheets (sorting data, pivot tables, DB data filtering, etc.). 7. Analytical tools: Solver etc. 8. Basics of scripting and efficient data processing. 9. Computer typography. 10. Processing of technical reports: Formulas, tables, pictures, etc. 11. Basics of graphics: Editing images/photos, including them in a document. 12. Complex example. 13. Complex example.