CS101B R for Biologists, Level 1
From Bioinformatics.Org Wiki
Contents |
Objective
Taught in the context of biological research, this course helps biologists learn how to use the statistical scripting language R for data analysis. Unlike Bioinformatics Organization course MA101A (Biostatistics with R, Part 1), this course focuses on the syntax and functionality of the language R and may be used in preparation for MA101A. Armed with some knowledge and hands-on experience with a programming or scripting language, scientists taking a CS101 course at Bioinformatics.Org will be able to perform basic software development tasks and phrase research questions in the context of the language. As a result, they will be able to appreciate and use computers better in their organization and communicate better with their IT group.
Course outline
- Day 1: Installing and running R, understanding the R interactive environment
- Day 2: Creating, storing and manipulating R data objects, reading data from files
- Day 3: Applying built-in functions on data. for-loops, if-then-else statements
- Day 4: Scripts, functions, packages. Introduction to Bioconductor. Students will be assigned a project.
- Day 5: Project discussion
Course schedule
This course has been offered several times. Access to completed courses is available to enrolled students only, because of privacy and confidentiality issues. If you are interested in an upcoming course, register using instructions below.
- Course CGT (online), June 2-6, 2008, 15:30-16:30 GMT
- Course CAT (online), April 14-18, 2008
- Course ATA (online), January 28-Feb 1, 2008
- Course ACC (online), November 26-30, 2007
- Course TC (online), September 17-21, 2007
- Course CT (online), May 28 - June 2, 2007
- Course AQ (online), April 2-6, 2007
- Course AJ (online), February 12-16, 2007
- Course AE (online), January 29 - February 2, 2007
- Course AB (online), January 8-12, 2007
- Course AA (onsite), September 19, 2006
- Site license login
Registration
Registration comprises of two steps. First, create an online account to access the educational section of our website. Second, register for this course by making a payment using either the online registration form (click on the scheduled course above; use this form only for credit card payments via secured PayPal), or by sending in the mail-in registration form (~150 kB PDF, use this form if paying by US checks, credit card or corporate purchase order). Please check the tuition rates and discounts below.
For an additional USD $49, students who attend this course may order data discs containing full-resolution lecture videos and extra copies of the slides, scripts and data files.
Registration deadline: When full
Tuition & discounts
The fee for this course is $595 USD (commercial and government)
Discounted rates are available, as follows:
- Academic and non-profit research organizations, $397
- Students paying for themselves (not getting reimbursement) and unemployed individuals (verification required), please inquire.
- Professional members get an additional 20% discount.
- Limited scholarships may also be available for those in low-income economies.
Logistics
Online courses are offered via online meeting system. Access information will be provided prior to the start of the course. Each lecture will last 45 to 90 minutes, depending on the topics covered. For those who cannot attend the lectures at those times, the lectures will be recorded and placed on the course website as Flash videos (resolution reduced by 30%) each day, within one day. Students will also be able to communicate with the instructor and other students via the course forums. Lecture attendance is therefore not required.
Since this will be an interactive, hands-on workshop, all attendees will need a computer with a broadband Internet connection (1 Mbps or faster is strongly recommended for those watching the live lecture), a sound card with speakers, a modern Web browser, and the Adobe Flash plugin. A microphone and webcam is not required for this course. The necessary software, lecture notes and exercises will be provided.
Certification
This course is certified by the Bioinformatics Organization, Inc., the largest international affiliation in the field, and it will count as 5 "Continuing Scientific Education" (CSE) credits (one credit per contact hour) within the Organization. Students completing the course will receive a certificate attesting to that.
Additional information
If you have any questions, please send a message to J.W. Bizzaro (login required) or call +1 978 562 4800.

