Automatic data processing

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Dosimetry and Application of Ionizing Radiation

Synopsis:

Learning outcomes of the course unit The aim of the course is to teach students how to process large amounts of input data and to solve real tasks demanding on computational time or their processing. The course is designed as a set of tasks that are not challenged by any particular operating system or software. Part of the exercise is a sample solution for one particular system and program. Credit is given for submission of all assigned tasks.

Requirements:

Enrollment in the course is conditioned by successful completion of courses 16ZPSP, 16ZPRP, 16INZB and 12NME1.

Syllabus of lectures:

Syllabus of tutorials:

1. Batch files and command line

2. Advanced Search and Replace

3. Manipulation with bulky data

4. Bulk file operations

5. Placing on-demand or scheduled (scheduling) tasks

6. Parallel task processing

7. Calculation parallelization

Study Objective:

Knowledge:

Learn how to process large volumes of data using an automated script.

Abilities:

Use knowledge of the automatically process real data, parallel data processing, advaced scripting.

Study materials:

Key references:

[1] Scopatz A., Huff K.: Effective Computation in Physics: Field Guide to Research with Python, O'Reilly Media 2015

[2] Materials at server https://behounek.fjfi.cvut.cz

Doporučená literatura

[3] Higham D., Higham E.: MATLAB Guide, Third Edition (2017), Philadelphia : Society for Industrial and Applied Mathematics, 2017

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: