857-0002-00L  Methods III: Statistical Learning

SemesterSpring Semester 2019
LecturersD. Hangartner, M. Marbach
Periodicityyearly course
Language of instructionEnglish
CommentOnly for MA Comparative and International Studies.



Catalogue data

AbstractIntroduction to methods for supervised and unsupervised learning for the social sciences.
ObjectiveThe goal of this course is provide students with an introduction to statistical learning methods. Upon completion of the course, students will have an understanding of modern computiational methods for modelling and prediction, the assumptions on which they are based, and be able to use them to address specific research questions in the social sciences.
ContentTopics include linear regression with interaction and fixed effects, binary logistic regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, principal component analysis, factor analysis, and item response theory.
LiteratureJames, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. An introduction to statistical learning. Springer, 2013. (7th edition).

The PDF of the textbook is made freely and legally available by the authors and Springer press and part of the course package.
Prerequisites / NoticeMethods II

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits8 credits
ExaminersD. Hangartner, M. Marbach
Typegraded semester performance
Language of examinationEnglish
Course attendance confirmation requiredNo
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationThe final grade will consist of a weighted average of homework, poster projects, and lab report.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
857-0002-00 UMethods III: Statistical Learning Special students and auditors need a special permission from the lecturers.1 hrs
Tue14-16IFW E 42 »
D. Hangartner, M. Marbach
857-0002-00 SMethods III: Statistical Learning Special students and auditors need a special permission from the lecturers.2 hrs
Mon14-16IFW E 42 »
D. Hangartner

Restrictions

General : Special students and auditors need a special permission from the lecturers
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupComparative and International Studies MA (863100)

Offered in

ProgrammeSectionType
Comparative and International Studies MasterCore SeminarsOInformation