Hosting Higher Education Institution:
|Ecological University of Bucharest|
|Monday, 19 October, 2020 to Friday, 23 October, 2020|
Maximum number of participants:
Deadline for applying:
|Tuesday, 15 September, 2020|
|Accommodation not provided|
Contact person details:
|For more course information please contact Ciprian Alexandru, course leader, email: email@example.com
For accommodation suggestions and other practical information, please contact Stefan Duduman, ERASMUS+ Coordinator: firstname.lastname@example.org
Please register at this link: https://forms.gle/SwQkdSVHjEvfDWXP9
The goal of this training week is to provide participants with basic knowledge about the principle of Reproducible Research applied to the published article in various journals.
* Introduction in reproducibility research
* Management of the datasets
* Create Data visualization with R environment
* Introducing in fundamentals of LaTeX and working with article templates
* R markdown, bookdown, LaTeX template integration
After this course, participants will be able to write a reproducible article in R, using Markdown and LaTeX, including basic R code and use R packages to perform some of the data analysis and visualization carried out in their research activities, including the management of their datasets.
Teachers and researchers who want to publish articles in journals using the principles of reproducible research.
5 Days, Monday –Friday
19th-23rd October 2020
Ciprian ALEXANDRU PhD., Associate Professor at the Ecological University of Bucharest and Vice-rector on Research activities. He was invited as Keynote speaker with the topic “Reproducible Research with R”, in 2015, to the International Conference on Computing, Mathematics and Statistics (iCMS2015) Malaysia.
As a trainer of National Institute of Statistics, he worked with various private clients, like telecom and banking industries, but also with public institutions, into training on the job system, starting from understanding their data and the business itself, identifying their needs for analyzing the data, to building models. Training activities held in National Centre for Training in Statistics from Bucharest: “Data Analysis in Statistics with R”; “The course Introduction to Statistics - Applications in R”; “R Statistical Software – Presenting Advantages of its use for Data Analysis”; “Statistical Analysis – from Theory to Practice”; “Concepts, Models and Techniques for Data Analysis” (http://r-project.ro/training.html). He worked as a trainer for EUROSTAT and UNDP.
He participated in various research projects (including Eurostat), workshops, national and international conferences. His research activity was commissioned in value by publishing studies in journals in Romania and in Europe, as well as in international databases (ISI Thomson, DOAJ, EBSCO, RePEc. His research papers and articles are also published in prestigious peer-reviewed publications.
Madalina TOCAN, PhD., associate professor.
Nicoleta CARAGEA, PhD., associate professor.
Course schedule per topics:
You are invited to come with your laptop. The wireless Internet connection will be available in the training room.
Please take into consideration that the maximum number of participants is 20 and your payment will secure your reservation. We will issue an invoice on your request.
The registration fee includes participation in the course, training materials in PDF, certification of attendance, Internet connection into the training room and all coffee breaks. Lunch is not provided. The registration fee will be paid 2 weeks before the first day of the course by bank transfer.