IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I
New York University ยท NY ยท APSY-GE3901
IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I is a subject at New York University, NY. It covers topics like clinical-education, educational-psychology, educational-research-methods, teacher-education. It is part of 1 degree. The information below is compiled from public course material โ approximate, not official.
New York University
APSY-GE3901
3.00
Topics covered
Degrees that include IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I
Frequently asked questions
What is IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I about?
IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I covers topics like clinical-education, educational-psychology, educational-research-methods, teacher-education.
Which degrees include IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I?
IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I is part of 1 degree, including Comparative Effectiveness and Implementation Research Training Program (Advanced Certificate).
How many credit points is IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I?
IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I at New York University is typically around 3.00 credit points. Approximate โ confirm with the university.
Where is IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I taught?
IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I is taught at New York University, NY.
Studying IES-Pre-doctoral Interdisciplinary Training Seminar on Causal Inference in Education I?
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Sources: New York University public course catalogue. Information is compiled and summarised โ not copied verbatim โ and is approximate; always confirm with the original source.
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