Below you can find lists of:
If you are a teacher on any of the courses listed and wish to have the course information removed – or if you teach a course that you would like to have added to the list, please contact the HSSH Methodological unit at grp-hssh-mu@helsinki.fi.
Please check with the teacher whether the course is open for researchers. Contact details of the responsible teachers can be found on the SISU page of each course.
MAT12002 Tilastotiede ja R tutuksi II:
LDA-H313 Applying Network Analysis for Humanities:
LDA-H311 Spatial Analysis and Data Exploration in History and Archaeology:
COS-D407 Scientific Modeling and Model Validation:
COS-D422 Scientific Modeling and Model Validation: Advanced:
KIK-LG208 Ohjelmointia lingvisteille:
FYS10013 Tieteellinen laskenta I:
LDA-H305 Computational Literacy:
LDA-T306 Machine Translation:
LDA-T309 Corpus clinic:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-134683622-2020-08-01/LDA-T309/Corpus_clinic
DATA11002 Introduction to Machine Learning:
DATA20019 Trustworthy Machine Learning:
LSI34005 Clinical Data Mining:
LSI34005 Statistical epidemiology:
MAST32007 Time series analysis I:
MAST31702 Probability theory II:
MAST33003 Nonparametric and robust methods:
DATA11003 Distributed Data Infrastructures:
LSI35002 Bayesian Data Analysis:
MAST32012 Survival and event history analysis I:
DOCPOP-119 Time-to-event data-analysis:
PHD-302 Introduction to Open Data Science:
SED-914 Introduction to the Measurement Models in educational Research:
SED-915 Visual and Sonic Methodologies for Inductive Sciences:
EDUMCE30 Visual Research Methodology in Educational Sciences:
PSYT-913 Psychophysiological Methods in Educational Research:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-119582257-2021-08-01/PSYT-913/Metodiopinnot_1
SOTE-331 Sosiaali- ja terveystutkimuksen tilastolliset menetelmät:
LDA-P302 Speech analysis methods:
PSYT-914 Mplus Course:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-119582323-2021-08-01/PSYT-914/Metodiopinnot_2
SOST-930 Programming for Social Sciences:
Please check with the teacher whether the course is open for researchers. Contact details of the responsible teachers can be found on the SISU page of each course.
SOST-931 Data Science for social scientists:
SOST-932 Network analysis for social scientists:
Please check with the teacher whether the course is open for researchers. Contact details of the responsible teachers can be found on the SISU page of each course.
LDA-H311 Data Analysis for the Complete Beginner:
MAT12001 Tilastotiede ja R tutuksi I:
MAT12003 Todennäköisyyslaskenta I:
SOSM-401A Sosiaalitutkimuksen tilastolliset menetelmät 1:
SOSK-403 Sosiaalitutkimuksen tilastolliset menetelmät:
TKT10002 Ohjelmoinnin perusteet luento-opetus:
LDA-H511 Programming for Digital Humanities:
TKT10004 Tietokantojen perusteet:
NEU-415 Luova tieteellinen ajattelu:
SOTE-332 Laadulliset tutkimusmenetelmät:
SOSM-408 Kulutustutkimuksen menetelmiä:
COS-D409 Applied Research Project:
COS-D410 Analysis of Complex Surveys:
COS-D419 Factor Analysis and Structural Equation Methods:
SOSM-407 Kausaalinen päättely yhteiskunta- ja käyttäytymistieteissä:
SOSM-404 Seuranta-aineistojen tilastollinen analyysi:
LDA-H313 Current Methods and Perspectives in Digital Humanities:
LDA-H512 Statistics for Digital Humanities:
PVM-Y303 Advanced Research Methods: Digital Research Methods:
LDA-T308 Introduction to deep learning:
LDA-T304 Computational semantics:
LDA-P307 Modeling speech production and perception:
LDA-C310 Language, Cognition and the Brain:
KIK-404 Korpuslingvistiikka ja tilastolliset menetelmät:
DATA16001 Network Analysis:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-124079802-2021-08-01/DATA16001/Network_Analysis
MAT22005 Bayesian inference:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-117379488-2021-08-01/MAT22005/Bayesian_inference
DATA20023 Bayesian Machine Learning:
DATA20047 Probabilistic Cognitive Modelling:
MAST32008 Time series analysis II:
MAST31503 Spatial models in ecology and evolution:
MAST31504 Stochastic population models:
LSI34008 Statistics of ecological monitoring and experimental design:
PAP303 Statistical Inverse Methods:
MATR322 Numerical Methods in Scientific Computing:
ECOM-R316 Advanced Microeconomics 3:
ECOM-R321 Advanced Econometrics: Macroeconometrics:
Please check with the teacher whether the course is open for researchers. Contact details of the responsible teachers can be found on the SISU page of each course.
MAT12004 Tilastollinen päättely I:
ECOM-411 Applied Macroeconometrics 1:
SOSM-401B Sosiaalitutkimuksen tilastolliset menetelmätaidot 2:
MAST32013 Survival and event history analysis II:
YK-264 Kvantitatiiviset menetelmät:
YMT-3505 Syventävät kvantitatiiviset menetelmät:
KIK-LG207 Tilastomenetelmiä lingvisteille:
LSI34002 Genome-wide association studies:
COS-R409 Special Research Methods: Quantitative Methods for Policy Evaluation:
SOSM-409 Kvantitatiivinen sosiaalitutkimus käytännössä:
TKT10003 Ohjelmoinnin jatkokurssi:
LDA-C303 Scientific Programming:
LDA-P311 Programming for Phoneticians:
KIK-LG210 Koneoppimisen perusteet lingvisteille:
LDA-T303 Computational syntax:
DATA12001 Advanced Course in Machine Learning:
DATA15003 Interactive Data Visualization:
LDA-H311 Linked Data for Digital Humanities:
SOSM-VT301 Väestö ja elinolot: näkökulmia yhteiskuntaan kvantitatiivisin menetelmin:
FYS1014 Havaintojen tilastollinen käsittely:
ECOM-R318 Advanced Macroeconomics 4: Heterogenous agent models with policy applications:
Please check with the teacher whether the course is open for researchers. Contact details of the responsible teachers can be found on the SISU page of each course.
SOSM-403 Forecasting:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-118282941-2021-08-01/SOSM-403/Forecasting
COS-D406 Causality / Causal Analysis of Social Data:
https://studies.helsinki.fi/opintotarjonta/cu/hy-CU-133928952-2021-08-01/COS-D406/Causality
COS-D401 Introduction to the Framework of Economic Statistics:
VALT-103 Johdatus yhteiskuntatilastotieteeseen, osa 1:
VALT-104 Johdatus yhteiskuntatilastotieteeseen, osa 2:
TKT10002 Ohjelmoinnin perusteet:
TKT10003 Ohjelmoinnin jatkokurssi:
BSCS1001 Introduction to Programming:
BSCS1002 Advanced Course in Programming:
ENG-Ling352 Working with Text in Python:
ENG-Ling353 Natural Language Processing for Linguists:
DATA14003 Big Data Platforms:
CSM90004 Data Analysis with Python: