University of Veterinary Medicine Budapest

Course description

Informatics for zoologist tentative course outline 2023./2024. 1^st semester

Description

The aim of the course to provide essential hard skills for reasonable use of various software that can support a researcher’s work. The course provides three modules: 1) data organization, management and short analyses in Excel and R; 2) creating and managing text documents, reports and presentations in MS Office and other environment such as HTML  and Rmarkdown; 3) Other important IT skills for researchers such as scientific databases, scientometrics and daily management of a computer and files.

Course outline by modules

Module 1 – Data management

1. Excel intro, data in Excel (Broman and Woo 2018. Data organization on spreadsheets)
2. R & Rstudio intro (open data, view data in R)
3. Excel tasks 1. /Rtask 1. (practicals only)
4. Excel tasks 2. /Rtask 2. (practicals only)

Module 2 – Text documents, reports and presentations

1. Essentials for HTML and CSS (ATZS)
2. Intro to Rmarkdown for text documents
3. Word part #1 – basics of text editing in MS word (ATZS)
4. Making formulas and equations in Rmarkdown
5. Word part #2 – long documents – using styles, table of contents, tables and figures (ATZS)
6. Presentation in PowerPoint (ATZS)

Module 3 –  Other important IT skills for researchers

1. Reference managers (Mendeley, Zotero), scientific databases and essentials for scientometrics (WOS, Scopus, github, publons)
2. Managing files locally (explorer, vs. total commander) and globally (free cloud services for science with pros and cons), Window OS daily management + (best of )hotkeys

Time schedule

Lecture →Monday 13.15

Practicals → Monday 14.15 (group #1), Tuesday 14.15 (group #2)

1. Week1 04.09 – 08.09 – Course overview, introduction to univet IT
2. Week 2 11.09 – 15.09 – Managing files locally and globally, Window OS daily management
3. Week 3 18.09 – 22.09 – Excel intro, data in Excel, data organization on spreadsheets
4. Week 4 25.09 – 29.09 – R & Rstudio intro (open data, view data in R)
5. Week 5 02.10 – 06.10 – Essentials for HTML and CSS (ATZS)
6. Week 6 09.10 – 13.10 – Word part #1 – basics of text editing in MS word (ATZS)
7. Week 7 16.10 – 20.10 – Rmarkdown #1 intro to create/edit text documents
8. Week 8 23/24.10 – 27.10 – No Monday lecture and practicals (group #1) due to 23/10
9.  Week 9 30.10 – 03.11 –  Midterm I. (deadline for CV assignment)
10. Week 10 06.11 – 10.11 – Word part #2 – long documents – using styles, table of contents, tables and figures (ATZS)
11. Week 11 13.11 – 17.11 – Rmarkdown#2 create/edit formulas/equations
12. Week 12 20.11 – 24.11 – Presentation in PowerPoint (ATZS)
13. Week 13 27.11 – 01.12 – Reference manager (Mendeley, Zotero) + scientific databases and essentials for scientometrics (WOS, Scopus, github, publons)
14. Week 14 04.12 – 08.12 – Q&A session – students’ feedback
15. Week 15 11.12 – 15.12 – Midterm II./Test on word, Deadline PowerPoint assignment