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28

Graduate Studies in Computational & Data Sciences Info Session – Central Campus

29

Regression analysis with Generalized Linear Models in Python

30

Introduction to the Linux Command Line

31
1

MICDE Seminar: Amir Ali Ahmadi, Assistant Professor, Operations Research and Financial Engineering, Princeton University

Regression Modeling in Stata

2
3
4

Statistical Analysis with R

Introduction to the Flux cluster and batch computing

Data Visualization With 3D Graphics Using Unity3D

5

Statistical Analysis with R

Introduction to the Linux Command Line

Generalized estimating equations in Python

6

Advanced batch computing on the Flux cluster

Introduction to Programming with Python & Matlab

7

MICDE 2019 Catalyst Grants Informational Session

Mixed Models with R

Sliding into Slurm: An early look at U-M’s new high-performance computing environment

8

MICDE Seminar: David Nordsletten, Associate Professor, Department of Biomedical Engineering and Cardiac Surgery, U-M

Introduction to the Flux cluster and batch computing

Mixed Effects Modeling in Stata

9
10
11

Advanced batch computing on the Flux cluster

Introduction to the Linux Command Line

12

Python for Data Analysis

Multilevel models in Python

13
14
15

MICDE Seminar: Rhonda Dzakpasu, Associate Professor, Department of Physics, Georgetown University

16
17
18

MICDE Seminar: Jim Haxby, Evans Family Distinguished Professor; Director, Center for Cognitive Neuroscience, Dartmouth College

19

The 2nd Annual Data for Public Good Symposium

Survival analysis in Python

20

Generalized Additive Models

Introduction to the campus Hadoop cluster

21

Introduction to the campus Hadoop cluster

22
23
24
25
26

Introduction to Deep Neural Networks with Keras/TensorFlow

27

Geospatial Analysis with Google Earth Engine

MICDE Seminar: Irene Beyerlein, Professor, Mechanical Engineering, University of California, Santa Barbara

28
1
2
3
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