Duration
6h Th, 12h Pr
Number of credits
| Advanced Master in Risk and Disaster Management in the Anthropocene Era | 2 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The student will be introduced to R through the RStudio interface. The basic notions of coding will be taught. They will carry out statistical processing using lines of code. He will also be introduced to the basic notions of RMarkdown.
Course content :
- Introduction to coding,
- Introduction to database management,
- Recall of the basic notions of statistics and translation into lines of code,
- Introduction to basic graphing in RStudio,
- Reminder of the hypotheses and statistical tests and translation into lines of code,
- Performing linear regressions using RStudio.
Learning outcomes of the learning unit
At the end of this course, the student will be able to :
- use the open source program R through the RStudio interface with the help of programming lines,
- import a file into their workspace,
- carry out the basic statistics seen in part 1,
- search the internet for information on coding,
- render the result(s) in a report generated with RMarkdown.
Prerequisite knowledge and skills
In general terms:
- Knowledge of how to use a computer
- Basic knowledge of Excel
- Basic knowledge of statistics (descriptive statistics)
- Configure the keyboard correctly according to the keys (AZERTY or QUERTY)
- Know how to install a computer program on his/her computer
Planned learning activities and teaching methods
A course consists of a theoretical part with an application directly in practical format. It is essential for the student to follow the course as RMarkdown concepts will be introduced throughout the course to prepare the student for the examination.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Course materials and recommended or required readings
Basic knowledge of Exce:
https://openclassrooms.com/fr/courses/7168336-maitrisez-les-fondamentaux-dexcel
Exam(s) in session
Any session
- In-person
written exam
Further information:
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Additional information:
Additional information:
The exam will consist of parts 1 and 2 (compulsory, no partial exemption), which are assessed together. The files resulting from the student's work must be submitted, all together, in a single file submitted, within the allotted time, on the e-campus platform for part 2 at the end of the exam
The assessment focuses on the correct use and understanding of the statistical methods, the interpretation of the results as well as the use of the statistical software R.
The files resulting from the student's work must be submitted, all together, in a single file submitted, within the allotted time, on the partim 2 e-campus platform at the end of the exam.
The exam consists of a practical examination in R/R Markdown (statistical analyses), including questions on the good understanding of the theory (justification of choices, explaining techniques, interpreting results, ...).
During the examination, students can either work on their own laptop or on a university computer. The examination is an open book examination.
Any attempt at fraud will result in a zero rating. In particular, mobile phones are strictly forbidden all along the exam.
Work placement(s)
Organisational remarks and main changes to the course
The student is requested to inform the teacher if he/she does not have a personal computer.
Contacts
Claudia Falzone: cfalzone@uliege.be