Content: | Graduate statistics course giving an advanced introduction to statistics and data analysis. |
Level: | Intended for students at 3rd-5th year of studies and new Ph.D. students. |
Prerequisites: | Math (calculus and linear algebra) and programming experience (any language, but see below). |
Note on prerequisites: Programming is an essential tool and necessary for the course!!! | |
When: | Monday 9-12, Tuesday 13-17, and Friday 9-12 (Week Schedule Group B). |
Where: | Monday+Friday: Lectures in Auditorium 5 at HCO, Exercises: BioCenter |
Tuesday: Metropolskolen (Sigurdsgade 26, see course info) | |
Period: | Blok 2 (19th of November 2018 - 18th of January 2019), 7.3 weeks total (missing a Monday and a Friday). |
Format: | Shorter lectures followed by computer exercises, discussion, and occationally experiments. |
Text book: | Roger Barlow: Statistics: A guide to the use of statistics. |
Additional literature: | Philip R. Bevington: Data Reduction and Error Analysis, Glen Cowan: Statistical Data Analysis. |
Programs used: | Simple Python (v3.6) and a few packages on top in Jupyter Notebook (see Nature article). |
This has pro's and con's, both of which are important to know about: Why I don't like notebooks! | |
Regarding installation, please read our guide. For ERDA related issues, see the ERDA user guide. | |
Pensum/Curriculum: | The course curriculum can be found here, which also contains a more detailed discussion. |
Key words: | PDFs, Uncertainties, Correlation, Chi-Square, Likelihood, Fitting, Monte Carlo and Data Analysis. |
Expected learning: | What I expect you to learn is discussed here: Learning objectives |
Language: | English (occational Danish utterings!). All exercises, problem sets, exams, notes, etc. are in English. |
Evaluation: | Problem set (20%), Project (20%), and take-home exam (60%). |
Exam: | Take-home (28 hour) exam given Thursday the 17th of January 2019 at 8:15. |
Censur: | Internal censor evaluation (following the Danish 7-step scale) |
Credits: | 7.5 ECTS (1/8 academic years work, that is 187.5-225 hours of work, thus about 23-28 hours weekly). |
"This course overqualified me for a course on scientific
computing at Harvard the following Summer." [Dennis Christensen (2009 course)] "I recommended this course to everyone I know." [Pernille Yde (2009 course)] "I don't think that you can rightly call yourself a physicist, if you have not had a course of this type." [Bo Frederiksen (2010 course)] "My second project in the course led to an article now in review for Nature magazine!" (it was accepted) [Ninna Rossen (2011 course)] "If you really want to understand your data, you need a course like this." [Julius Bier Kirkegaard (2012 course)] "I realized that I was very well prepared by this course, when I started working at CERN as a Summer Student." [Mathias Heltberg (2013 course)] "It is now many years ago, that I followed your course, but there is hardly a day, where I don't think about it" [Frederik Beyer (2011 course, in October 2014)] "This is without a doubt the single most useful, and possibly most influential, course I have taken during my university education. Thank you." [Samuel Walsh (2013 course, in December 2014)] "Tak for et fedt kursus. Naar jeg taenker tilbage paa mine 2.5 aars fysikstudier staar Anvendt Statistik frem som noget af det sjoveste og mest spaendende." [Martin Hayhurst Appel (2014 course)] "Every single sleepless night spent on this course has enriched my way of thinking." [Arianna Marchionne (2015 course)] "The best lecturer I had in my 3 years of studies in UCPH." [Anonymous (2016 course)] "I miss the course very much." [Niccolo Maffezzoli (instructor in 2015+2016 course, in 2017 as a PostDoc)] "I am able to confirm your course is very demanding but indeed worth working for, for I could spend another 7 weeks on this interesting curriculum!" [Jan de Boer 2017, upon having been told, that the course is demanding] "This course has been one of the most important aspects of my education so far. I have heard this from earlier students again and again - i am happy to say that i understand why now!" [Anonymous, Last line in the evaluation of 2017 course] "I learned a lot when I took the course, and still a good deal of things the year after, when I was a TA in the course." [Christian Michelsen, student in 2016 and TA in 2017+18 course] "Jeg gerne udtrykke min taknemmelighed for at have haft muligheden for at deltage i et så velstruktureret og gennemført et kursus, som dit. Du burde være en inspiration for alle professorer på universitetet". [From a student in the 2018 course, despite the person chosing the re-exam!] "I wanted to tell you, that this is the best course I ever had. And I've studied at four universities!" [Vlad-Andrei Neacsu (2018 course)] "Hvad skal vi dog give os til nu, hvor vi ikke laengere har Applied Statistics at more os med? Jeg savner det allerede!" [Lisa Lolk Hauge - last day of 2018 course (evaluation)] |