Research and Data Science

Machine Learning March with OIT Research Services

Data ScienceThis March, in collaboration with the Center for Research Computing, SMU Libraries, Data Science Institute, the Office of Information Technology’s Research Services Team will be offering several workshops for free to the SMU community. Whether it is an introduction to using the University’s high-performance computing systems, embarking on machine learning, or digging into data mining, these workshops will march into the month knowing more about machine learning and data science.

Introduction to M2

March 2, 2022, 2–4 p.m

HPC logoAn introduction to high-performance computing and the resources available through the Center for Research Computing and the Office of Research & Data Science Services at SMU. Information about how to access the systems, run programs on the systems, and brief examples of common tasks will be provided. Additionally, this will include an overview of what high-performance computing is and why it is important.

Register Now

Workflows in R

Mach 3, 2022, 1–4 p.m

R logoA hands-on experience using R (via M2 HPC: Open OnDemand’s R Studio platform) workflow to solve a typical challenge in Data Science task with examples taken from the Kaggle online competition platform. The workshop introduces the caret package to clean and manipulate input data, split data into training/testing sets and application of several key supervised Machine Learning algorithms to build the relationship between output and input variables.

Register Now

Introduction to Python for Text Mining

March 8, 2022, 3–6 p.m
FLE110 – Hybrid

Python logoHow do you use coding (Python) for a text mining project? This session will consist of an introduction to Python for text mining. In this session, we will focus on introducing Python basics and the use of Python notebooks, as well as an introduction to high-performance computing (HPC).

Register Now

Machine Learning with Python: Part 2

March 9, 2022, 1–4 p.m
FLE110 – Hybrid

Python logoMachine learning is the science of teaching computers to reproduce the assigned procedure without being explicitly programmed. It has been widely used not only in engineering (hydroinformatics, bioinformatics, genomics, geosciences and remote sensing, mechatronics) but also in economics, health sciences, and even in the real estate industry. This workshop provides an overall introduction to machine learning specifically with the Python programming language which utilizes an abundance of scikit-learn packages.

Register Now

Getting Support for Text Mining

March 22, 2022, 3–6 p.m
FLE110 – Hybrid

How do you build a community of practice around learning digital scholarship methodologies and skills? Digital scholarship is inherently interdisciplinary and collaborative. This session will allow for a review of previous sessions, as well as an opportunity for questions and discussion. We will also discuss resources available to you at SMU as you continue to learn about text mining.

Register Now

Shared Memory Parallelism

March 23, 2022, 2–4 p.m
FLE110 – Hybrid

An introduction to single node parallelism through hands-on examples. The workshop will cover at a high-level OpenMP, OpenACC, C++ standard parallelism, Pthreads, and Kokkos.

Register Now

Deep Learning with Python: Part 1

March 30, 2022, 1–4 p.m
FLE110 – Hybrid

Python logoThis workshop provides an overall introduction to deep learning specifically with Python programming language which utilizes an abundance of TensorFlow-Keras packages. Such topics include:

  1. Introduction to Deep Learning
  2. Regression & Classification with Deep Learning
  3. Image classification with CNN
  4. Time series forecasting with RNN, LSTM

Register Now

If you have any questions, please feel free to reach out to Eric Godat, Ph.D. in Research & Data Science Services at

Print Friendly, PDF & Email

Published by

Ian Aberle

Ian Aberle is an Adobe Creative Educator and the Senior IT Communications Specialist & Trainer for the Office of Information Technology (OIT). For over 25 years, he has helped the SMU community use technology and implement digital and web media through multiple roles with the Digital Commons, SMU STAR Program, and now OIT. Ian enjoys photography and road trips with his family in his free time.