Computational Environment for Statistical Data Analysis (NMST440)

Arnošt Komárek

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Computational Environment for Statistical Data Analysis (NMST440)

Summer semester 2017–18

SIS pages of the course:    ENG    CZE

TIMETABLE

Tutorial: Thursday 17:20 in K11   

ANNOUNCEMENTS

  • There will be no tutorial on 15/03/2018. Students are advised to work on the assignments given by that time.

TUTORIALS

Tutorial 1 (22/02/2018)

Topic: HTML and bibliographic information sources on Internet.

    HTML tags:     Page at w3schools     Page at htmldog
    CSS Templates:     CSS Templates For Free     Andreas Viklund     Example from CSS Templates For Free
    Classification systems:     MSC     JEL
    Bibliographic databases:     Web of Science (WOS)     Scopus     MathSciNet     ZentralBlatt MATH     Google Scholar
    DOI number:     doi.org     DOI at Wiki
    Articles databases:     JSTOR     JSTOR (Statistics)     Wiley Online Library     ScienceDirect     SpringerLink
    htpasswd:     .htaccess Example     .htaccess Example 2     On-line htpasswd generator

Assignments:
  1. Create your homepage at Artax server and then send a link to this page to the lecturer via e-mail.
  2. Add to this webpage information concerning your Bachelor or Master thesis including its MSC and/or JEL classification, keywords in both Czech/Slovak [if this is your native language] and English. Further, provide three references from your thesis including the following information: DOI number (as an active link), number of citations according to WOS and Scopus, information whether a full text of the publication is available from IP's of MFF UK. If it is, include the link to this full text.

REQUIREMENTS TO GET A COURSE CREDIT (ZÁPOČET)

The course credit will be awarded to the student who hands in a satisfactory solution to each assignment by the prescribed deadline. The nature of these requirements precludes any possibility of additional attempts to obtain the course credit.

 

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