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SOST70011 2021-2022 syllabus

Course lecturer: not assignedAdditional staff: view all staff
Timetable
SemesterEventLocationDayTimeGroup
Sem 1 w1-5,7-12 SEMINAR Uni Place 6.210 Fri 09:00 - 10:00 -
Sem 1 w1-5,7-12 SEMINAR Uni Place 6.207 Fri 10:00 - 11:00 -
Sem 1 w1-5,7-12 SEMINAR Sam Alex A102 Fri 13:00 - 14:00 -
Sem 1 w1-5,7-12 Lecture Schuster BRAGG TH Thu 14:00 - 15:00 -
Sem 1 w1-5,7-12 SEMINAR Simon 5.04 Fri 14:00 - 15:00 -
Sem 1 w1-5,7-12 PRACTICAL Hum Bridge St 2.1 Thu 15:00 - 16:00 -
Sem 1 w1-5,7-12 PRACTICAL Hum Bridge St 2.1 Thu 16:00 - 17:00 -

Syllabus unknown to Campus Solutions

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Learning outcomes

Reading list

TitleAuthorISBNPublisherYear
Causal inference in statistics [electronic resource] : a primer Pearl, Judea,9781119186854; 1119186854; 9781119186861; 1119186862John Wiley & Sons Ltd2016.
R for Data ScienceWickham, Hadley and Grolemund, Garrettnullnullnull
nullRohrer, Julia MnullSAGE Publications2018-03
Statistical methods for the social sciences [electronic resource] Agresti, Alan.9781292220345; 1292220341Pearson Education Limited[2018].
Essentials of applied econometrics Smith, Aaron D.,9780520963290; 0520963296University of California Press[2017]
Multilevel analysis : techniques and applications Hox, J. J.9780203852279; 0203852273Routledge2010.
A Most Incomprehensible ThingCollier, Peternullnullnull