{"id":90500,"date":"2023-08-02T11:32:40","date_gmt":"2023-08-02T09:32:40","guid":{"rendered":"https:\/\/univet.hu\/hu\/oktatas\/kurzusok\/informatikazoologus\/"},"modified":"2024-10-08T14:52:10","modified_gmt":"2024-10-08T12:52:10","slug":"informatika-zoologusoknak","status":"publish","type":"page","link":"https:\/\/univet.hu\/hu\/oktatas\/kurzusok\/informatika-zoologusoknak\/","title":{"rendered":"Informatika (zool\u00f3gusoknak)"},"content":{"rendered":"<p><u>Informatics for zoologist course outline 2024.\/2025. 1<sup>st<\/sup> semester<\/u><\/p> <p>&nbsp;<\/p> <p><strong>Description<\/strong><\/p> <p>The aim of the course to provide essential hard skills for reasonable use of various software that can support a researcher\u2019s 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\u00a0 and Rmarkdown; 3) Other important IT skills for researchers such as scientific databases, scientometrics and daily management of a computer and files.<\/p> <p>&nbsp;<\/p> <p><strong>Attendance<\/strong><\/p> <p>It is mandatory to attend both lectures and practicals. Signature is subject to no more than 3 absences from lectures. In case of more than 3 absences, signatures will be rejected and the course has to be retaken regardless of the results.<\/p> <ul> <li>All practicals begin on the 2nd week. The practical teachers will only allow students to participate who have registered to the given group in Neptun. You may be absent from 3 practicals, however you may not attend other practicals to make up for an absence. Absence from midterms or tests is only accepted upon a medical certificate is provided.<\/li> <\/ul> <p>&nbsp;<\/p> <p><strong>Grades and scores<\/strong><\/p> <p>Total number of collectable points is 100 (excluding bonus points). Score thresholds:<\/p> <ul> <li>0 \u2013 54.49%: 1<\/li> <li>54.5 \u2013 62.99%: 2<\/li> <li>63 \u2013 74.99%: 3<\/li> <li>75 \u2013 87.99%: 4<\/li> <li>88 \u2013 100%: 5<\/li> <\/ul> <p>&nbsp;<\/p> <p><strong>Course outline by modules<\/strong><\/p> <p><u>Module 1 \u2013 Data management<\/u><\/p> <ol> <li>Excel intro, data in Excel (Broman and Woo 2018. Data organization on spreadsheets)<\/li> <li>R &amp; Rstudio intro (open data, view data in R)<\/li> <li>Excel tasks 1. \/Rtask 1. (practicals only)<\/li> <li>Excel tasks 2. \/Rtask 2. (practicals only)<\/li> <\/ol> <p>&nbsp;<\/p> <p><u>Module 2 \u2013 Text documents, reports and presentations<\/u><\/p> <ol> <li>Essentials for HTML and CSS (ATZS)<\/li> <li>Intro to Rmarkdown for text documents<\/li> <li>Word part #1 \u2013 basics of text editing in MS word (ATZS)<\/li> <li>Making formulas and equations in Rmarkdown<\/li> <li>Word part #2 \u2013 long documents \u2013 using styles, table of contents, tables and figures (ATZS)<\/li> <li>Presentation in PowerPoint (ATZS)<\/li> <\/ol> <p>&nbsp;<\/p> <p><u>Module 3 \u2013\u00a0 Other important IT skills for researchers<\/u><\/p> <ol> <li>Reference managers (Mendeley, Zotero), scientific databases and essentials for scientometrics (WOS, Scopus, github, publons)<\/li> <li>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 (optional)<\/li> <\/ol> <p>&nbsp;<\/p> <p>&nbsp;<\/p> <p>&nbsp;<\/p> <p><strong>Time schedule<\/strong><\/p> <p>Lecture \u2192 Thursday 12.15-13.00 (N3)<\/p> <p>Practicals \u2192 Monday 14.15-16.00 (group #1, H1), Thursday 08.15-10.00 (group #2, H2)<\/p> <p>&nbsp;<\/p> <ol> <li>Week 02.09 \u2013 06.09 \u2013 no education<\/li> <li>Week 09.09 \u2013 13.09 \u2013 Course overview, introduction to univet IT<\/li> <li>\u00a0Week 16.09 \u2013 20.09 \u2013 Excel intro, data in Excel, data organization on spreadsheets<\/li> <li>Week 23.09 \u2013 27.09 \u2013 Advanced functions and graphics in Excel<\/li> <li>Week 30.09 \u2013 04.10 &#8211; R &amp; Rstudio intro (open data, view data in R)<\/li> <li>\u2013Week 07.10 \u2013 11.10 \u2013 (Estimate) Diversity in R, essential analyses for biological data<\/li> <li>Week 14.10 \u2013 18.10 \u2013 Rmarkdown I. \u2013 create\/edit your first reports with RMarkdown<\/li> <li>Week 21.10 \u2013 25.10 \u2013\u00a0 Rmarkdown II. \u2013 create\/edit reports (with formulas\/equations) with RMarkdown<\/li> <li><u>Week 28.10 \u2013 01.11 \u2013 Midterm I. (excel, R, Rmarkdown assignment open)<\/u><\/li> <li>Week 04.11 \u2013 08.11 \u2013 Presentation in PowerPoint (<strong>ATZS<\/strong>)<\/li> <li>Week 11.11 \u2013 15.11 Word part #1 \u2013 basics of text editing in MS word (<strong>ATZS<\/strong>)<\/li> <li>Week 18.11-22.11 \u2013 Word part #2 \u2013 basics of text editing in MS word (<strong>ATZS<\/strong>)<\/li> <li>Week 25.11 \u2013 29.11 \u2013 Word part #3 \u2013 basics of text editing in MS word (<strong>ATZS<\/strong>)<\/li> <li>Week 02.11 \u2013 06.11 \u2013\u00a0 Reference manager (Mendeley, Zotero) + scientific databases and essentials for scientometrics (WOS, Scopus, github, publons)<\/li> <li><u>Week 15 09.12 \u2013 13.12 \u2013 (Midterm II.\/Test on word?), Deadline Rmarkdown report assignment<\/u><\/li> <\/ol> <p><u>\u00a0<\/u><\/p> <p><u>\u00a0<\/u><\/p>","protected":false},"excerpt":{"rendered":"<p>Informatics for zoologist course outline 2024.\/2025. 1st semester &nbsp; Description The aim of the course to provide essential hard skills for reasonable use of various software that can support a researcher\u2019s work. The course provides three modules: 1) data organization, management and short analyses in Excel and R; 2) creating and managing text documents, reports<\/p>\n","protected":false},"author":3837,"featured_media":0,"parent":677,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-90500","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/pages\/90500","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/users\/3837"}],"replies":[{"embeddable":true,"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/comments?post=90500"}],"version-history":[{"count":0,"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/pages\/90500\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/pages\/677"}],"wp:attachment":[{"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/media?parent=90500"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/categories?post=90500"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/univet.hu\/hu\/wp-json\/wp\/v2\/tags?post=90500"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}