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 note below). |
Note on prerequisites: Programming is an essential tool and necessary for the course!!! | |
When: | Monday 8:15-12:00, Tuesday 13:15-17:00, and Friday 8:15-12:00 (Week Schedule Group B). |
Note on morning lectures: After the first two weeks, we will start 9:15 on Mondays and Fridays. | |
Where: | Lectures: Small UP1 (DIKU, Mon+Fri) and Auditorium 3 (HCO, Tues). |
Exercises: A102+106+107 (Mon), 102+105+107 (Tues), and 103+104+107 (Fri) at HCO. | |
Period: | Blok 2 (18th of November 2019 - 17th of January 2020), 7 weeks total (long Christmas vacation this year). |
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 but also con's, both of which are important to know about, e.g. Why I don't like notebooks! | |
For and introduction to ERDA and related issues, see the ERDA user guide. | |
Exercise/code repository: | All code used for the exercises of the course can be found at AppliedStatisticsNBI GitHub. |
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 awake hours!) exam given Thursday the 16th of January 2020 at 8:00. |
The exam will run from 8-24 on Thursday the 16th and again 6-18 on Friday the 17th of January (28 hours in total). | |
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), Venture Cup winner and now researcher at DTU Energy] "I recommended this course to everyone I know." [Pernille Yde (2009 course), now Head of Section of Data Science Lab at Statistics Denmark] "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 saa velstruktureret og gennemfoert et kursus, som dit. Du burde vaere en inspiration for alle professorer paa 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)] "Thank you for the amazing course. My view on measurements errors and statistics will never be the same." [Valdemaras Petrosius (2019 course)] "Thank you for the passing of knowledge. It was a mad statistical adventure, much more 'Applied' and worthwhile than any course I ever took!" [Che Fall (2019 course, writing from his native Canada after a non-optimal exam)] "Dear Troels. Thank you for an amazing course. Taking statistics to a level, where more than 100 students hang on your every word deserves more than just a pair of socks, but nonetheless, we hope that they will bring you as much joy as you have brought us." [Johann, Jonas, Jakob, and Chritian (2019 course, with a pair of socks!)] |