Data Analysis in R WM-I-S2-ADwR

The course aims to present basic data analysis techniques, including statistical methods. During the course, students acquire theoretical and practical knowledge regarding the construction, selection, and application of an appropriate model for the empirical phenomenon being analyzed.

(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się

information and communication technology

(in Polish) E-Learning

(in Polish) E-Learning (pełny kurs) z podziałem na grupy

(in Polish) Grupa przedmiotów ogólnouczenianych

(in Polish) nie dotyczy

Course coordinators

Dorota Dąbrowska
Piotr Śliwka

(in Polish) Opis nakładu pracy studenta w ECTS

LECTURE Class attendance: 30 hours Exam attendance: 3 hours Consultation attendance: 4 hours Class preparation: 3 hours Exam preparation: 35 hours Total: 75 hours 1.5 ECTS - direct contact with the instructor 1.5 ECTS - individual work LABORATORY Class attendance: 30 hours Consultation attendance: 4 hours Class preparation: 11 hours Assessment preparation: 30 hours Total: 75 hours 1.4 ECTS - direct contact with the instructor 1.6 ECTS - individual work

Subject level

intermediate

Learning outcome code/codes

(in Polish) wykład/konwersatorium: I2_W10 laboratorium: I2_U09 OPIS SYMBOLI wykład/konwersatorium - Absolwent: I2_W10 - w pogłębionym stopniu zna i rozumie teoretyczne i praktyczne aspekty wybranej dziedziny informatycznej. laboratorium - Absolwent: I2_U09 - potrafi stosować w wybranej dziedzinie zaawansowane narzędzia i metody informatyczne.

Type of subject

optional with unlimited choices

Preliminary Requirements

Basic mathematical and descriptive statistics and linear algebra. Knowledge of the R package or C++.

Assessment criteria

The following evaluation criteria are adopted for all outcomes in all forms of verification:
Score 5: fully achieved (without any discernible shortcomings),
Score 4.5: almost fully achieved and the criteria for a higher rating are not met,
Score 4: achieved to a significant extent and the criteria for a higher rating are not met,
Score 3.5: achieved to a significant extent – with a clear predominance of positives – and the criteria for a higher rating are not met,
Score 3: achieved for the majority of cases covered by the verification and the criteria for a higher rating are not met,
Score 2: not achieved for the majority of cases covered by the verification.

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of WM-I-S2-ADwR in USOSweb