Weekly outline

    • To contact me (24/24):
      email: darlene.goldstein@epfl.ch
      tel/sms/whatsapp/signal: 079 427 2501
      skype: darlenegoldstein

      Course format: 

      Although we are currently allowed to attend the course on campus, ALL LECTURES WILL ALSO BE PRERECORDED, since some of you may be unable to attend in person from time to time. Please follow the lecture before the 'office hours' or lab time so that you can ask any additional questions then.

      Office hours: I will be available for your questions each week Fridays 12.00-13.00 in my office MA B1 477 and also by appointment.

      The lab time is Tuesday 16.00-18.00 in CO3. I understand that there will be some class conflicts, so I will try to find a new room for those of you who are unable to attend at the assigned time. For the first week, in any case, please try to attend either my office hours or the lab time, and we will figure out a solution to any conflict.

      Course language: 

      This course is given in English, but feel free to speak in either English or French.

      Resources:
      A useful book for both statistics and R:

      • A Handbook of Statistical Analyses Using R, 3rd edition. Torsten Hothorn and Brian S. Everitt. CRC Press.
      Some resources to get you started with R, R Studio and R Markdown:
    • Repository of R packages, you can download R from here. Also a good source of documentation (see 'Contributed' under the Documentation heading).
    • RStudio makes R easier to use. It includes a code editor, debugging & visualization tools. Choose the free desktop version corresponding to your computer and operating system.
    • Tutorials and examples for reproducible research using R:
    • Forum for students to find group members. Once you have formed a group, please send me 1 email containing the names of all group members. As a reminder, your group can contain 1-4 persons.
  • 19 February

    This week
    Week 1: Course organization, reproducible research, confidence interval / hypothesis testing review

    Organization: you will write a short group report (~ 5-7 pages; a 'group' can be 1-4 persons), a short group article critique (1 page, it can be in question/answer format), and a longer individual report (up to ~ 7-10 pages). The 2 reports will be about data analyses you carry out. The group data set will be assigned to you. For the individual report, you can choose a topic from a list that I will provide once we have covered all the eligible topics in lecture. I will announce when you can email me your choice, so please do not send me an email earlier than that. Once you email me your choice, I will assign you a data set on that topic.

    The purpose of this course is to help you to learn something without too much stress!! That is why you can do each of the 2 reports twice: a preliminary version, which will be commented according to posted criteria, then a final version, where you can incorporate the comments, due at the end of the semester. Only the final version will count towards your course note. The deadlines will be posted on the course moodle page. 

    For the article critique, you will get the 1/2 point (full credit) as long as you submit it by the deadline - you don't need to do a preliminary version.

    In order to give you time to work on your reports, there will be no in-person lectures and mainly optional topics toward the end of the course. These 'extra' topics are NOT required, there are slides (and possibly videos) in case you are interested. There is no penalty associated with not following them.

    NOTE: this first week's LECTURE is ONLINE ONLY, there will be NO in-class lecture. Please come to the lab meeting in CO3 on Tuesday afternoon for the EDA presentation and to get started with R and RStudio.

    Grading

    • 1/2 point: short report 1 (either regression or anova), can be in a group of up to 4 people
    • 1/2 point: short critique on a scientific article (will be assigned to you), can be in a group of up to 4 people
    • 5 points: individual analysis report (your choice among a number of topics)