Basic R Programming
Informacje ogólne
Kod przedmiotu: | 220521-D |
Kod Erasmus / ISCED: |
11.0
|
Nazwa przedmiotu: | Basic R Programming |
Jednostka: | Szkoła Główna Handlowa w Warszawie |
Grupy: |
Elective courses for QEM - masters Major courses for AAB - masters Przedmioty obowiązkowe na programie SMMD-ADA |
Punkty ECTS i inne: |
1.50 (zmienne w czasie)
|
Język prowadzenia: | angielski |
Efekty uczenia się: |
Wiedza: Basic knowledge of R programming environment. Basic working knowledge of R programming language. Basic understanding of code organization. Umiejętności: Participants can write scripts addressing basic analytical tasks. Participants can organize code with functions. Participants can effectively use basic data structures. Kompetencje społeczne: Participants acquire better understanding of analytical methods and tools used to analyze data. Participants acquire more efficient practical ways of data analysis. |
Zajęcia w cyklu "Semestr letni 2024/25" (jeszcze nie rozpoczęty)
Okres: | 2025-02-15 - 2025-09-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Laboratorium, 16 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | (brak danych) | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
The course introduces the R programming language. The first lab discusses installing and configuring R and selected editors. The next block of labs introduces basic data structures: vectors and lists, and data structures based on them: matrices, and data frames. The last block of labs introduces basic programming techniques, including conditional execution, looping and mapping, and functions. Some additional packages are also described. |
|
Pełny opis: |
Course provides a simple and comprehensive introduction to the R programming language and its uses in data analysis. After the course participants are able to write scripts addressing basic analytical tasks. |
|
Literatura: |
Literatura podstawowa: An Introduction to R, W. N. Venables, D. M. Smith and the R Development Core Team; Introductory Statistics with R, R. P. Dalgaard, Springer, 2002; Modern Applied Statistics with S, W. N. Venables, B. D. Rpley, Springer, 2002 Literatura uzupełniająca: Linear Models with R, J. J. Faraway, Chapman & Hall/CRC, 2005; Extending the Linear Model with R, J. J. Faraway, Chapman & Hall/CRC, 2006; Time Series Analysis and Its Applications. With R Examples, R. H. Shumway, D. S. Stoffer, Springer, 2006 |
|
Uwagi: |
Kryteria oceniania: projekty: 100.00% |
Zajęcia w cyklu "Semestr zimowy 2024/25" (w trakcie)
Okres: | 2024-10-01 - 2025-02-14 |
Przejdź do planu
PN WT ŚR CZ LAB
LAB
LAB
PT |
Typ zajęć: |
Laboratorium, 16 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Michał Ramsza | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
The course introduces the R programming language. The first lab discusses installing and configuring R and selected editors. The next block of labs introduces basic data structures: vectors and lists, and data structures based on them: matrices, and data frames. The last block of labs introduces basic programming techniques, including conditional execution, looping and mapping, and functions. Some additional packages are also described. |
|
Pełny opis: |
Course provides a simple and comprehensive introduction to the R programming language and its uses in data analysis. After the course participants are able to write scripts addressing basic analytical tasks. |
|
Literatura: |
Literatura podstawowa: An Introduction to R, W. N. Venables, D. M. Smith and the R Development Core Team; Introductory Statistics with R, R. P. Dalgaard, Springer, 2002; Modern Applied Statistics with S, W. N. Venables, B. D. Rpley, Springer, 2002 Literatura uzupełniająca: Linear Models with R, J. J. Faraway, Chapman & Hall/CRC, 2005; Extending the Linear Model with R, J. J. Faraway, Chapman & Hall/CRC, 2006; Time Series Analysis and Its Applications. With R Examples, R. H. Shumway, D. S. Stoffer, Springer, 2006 |
|
Uwagi: |
Kryteria oceniania: projekty: 100.00% |
Zajęcia w cyklu "Semestr letni 2023/24" (zakończony)
Okres: | 2024-02-24 - 2024-09-30 |
Przejdź do planu
PN WT ŚR CZ PT |
Typ zajęć: |
Laboratorium, 16 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Michał Ramsza | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
The course introduces the R programming language. The first lab discusses installing and configuring R and selected editors. The next block of labs introduces basic data structures: vectors and lists, and data structures based on them: matrices, and data frames. The last block of labs introduces basic programming techniques, including conditional execution, looping and mapping, and functions. Some additional packages are also described. |
|
Pełny opis: |
Course provides a simple and comprehensive introduction to the R programming language and its uses in data analysis. After the course participants are able to write scripts addressing basic analytical tasks. |
|
Literatura: |
Literatura podstawowa: An Introduction to R, W. N. Venables, D. M. Smith and the R Development Core Team; Introductory Statistics with R, R. P. Dalgaard, Springer, 2002; Modern Applied Statistics with S, W. N. Venables, B. D. Rpley, Springer, 2002 Literatura uzupełniająca: Linear Models with R, J. J. Faraway, Chapman & Hall/CRC, 2005; Extending the Linear Model with R, J. J. Faraway, Chapman & Hall/CRC, 2006; Time Series Analysis and Its Applications. With R Examples, R. H. Shumway, D. S. Stoffer, Springer, 2006 |
|
Uwagi: |
Kryteria oceniania: projekty: 100.00% |
Zajęcia w cyklu "Semestr zimowy 2023/24" (zakończony)
Okres: | 2023-10-01 - 2024-02-23 |
Przejdź do planu
PN WT ŚR CZ LAB
LAB
LAB
PT |
Typ zajęć: |
Laboratorium, 16 godzin
|
|
Koordynatorzy: | (brak danych) | |
Prowadzący grup: | Michał Ramsza | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Ocena
Laboratorium - Ocena |
|
Skrócony opis: |
The course introduces the R programming language. The first lab discusses installing and configuring R and selected editors. The next block of labs introduces basic data structures: vectors and lists, and data structures based on them: matrices, and data frames. The last block of labs introduces basic programming techniques, including conditional execution, looping and mapping, and functions. Some additional packages are also described. |
|
Pełny opis: |
Course provides a simple and comprehensive introduction to the R programming language and its uses in data analysis. After the course participants are able to write scripts addressing basic analytical tasks. |
|
Literatura: |
Literatura podstawowa: An Introduction to R, W. N. Venables, D. M. Smith and the R Development Core Team; Introductory Statistics with R, R. P. Dalgaard, Springer, 2002; Modern Applied Statistics with S, W. N. Venables, B. D. Rpley, Springer, 2002 Literatura uzupełniająca: Linear Models with R, J. J. Faraway, Chapman & Hall/CRC, 2005; Extending the Linear Model with R, J. J. Faraway, Chapman & Hall/CRC, 2006; Time Series Analysis and Its Applications. With R Examples, R. H. Shumway, D. S. Stoffer, Springer, 2006 |
|
Uwagi: |
Kryteria oceniania: projekty: 100.00% |
Właścicielem praw autorskich jest Szkoła Główna Handlowa w Warszawie.