Events

PhD Seminar: Shirlyn Wang

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

Shirlyn Wang | Applied and Interdisciplinary Mathematics & Scientific Computing | Modeling CTL-mediated Tumor Cell Death Mechanisms and the Activity of Immune Checkpoints in Immunotherapy

MICDE Winter 2023 PhD Seminar Series: Pei-Hsun Huang, Nuclear Engineering and Radiological Sciences and Scientific Computing

PhD Seminar: Pei-Hsun Huang

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

Pei-Hsun Huang | Nuclear Engineering and Radiological Sciences & Scientific Computing | Simulation for the Design of Sodium Heat Pipes bundle Test Facility for the Application of Microreactors

Matching with R

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

Audience: Researchers who are use or are interested in using matching. Taught in R (familiarity is assumed) but concepts transfer to other software. An introduction to matching, such as propensity score matching, using R's "optmatch" package. We will discuss the theory behind matching and propensity scores, followed by examples using R to perform the matching […]

Introduction to Julia for Statisticians and Data Scientists Day #3

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]

Introduction to Julia for Statisticians and Data Scientists Day #2

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]

Introduction to Julia for Statisticians and Data Scientists – Day 1

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia, but participants should have prior programming experience with a language such as Python, R, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop […]

Building software projects: CMake is more than a build tool

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This workshop is a continuation of the previous workshop “Building software projects: use CMake to build the building plan”.  In this workshop, we will see that CMake is not just a fancy Makefile generator: it can help us to test, reuse, and distribute our software!  We will use CMake to build two interdependent multi-language projects, […]

Go for data processing Part 2

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This is a two-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python, but it is strongly typed, statically compiled, and provides native support for concurrency, leading to much […]

Go for data processing Part 1

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

This is a two-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python, but it is strongly typed, statically compiled, and provides native support for concurrency, leading to much […]

Survival analysis in Python

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

Survival analysis is used when working with data that may be censored, as often is the case in studies of human subjects with incomplete follow-up.  The presence of censoring makes most forms of regression and other standard statistical analyses inappropriate. A body of specialized techniques for analyzing this type of data has been developed, including […]