3-Week Summer Faculty Workshop “Deep Analytics for Massive Data”
Friday, June 25, 2021 9am to 12pm
About this Event
The Institute for Data Science and Computing (IDSC) is offering a 3-week online workshop for UM faculty not currently using data science or ML for research/teaching. This workshop provides a comprehensive but accessible introduction to data science and machine learning (ML), introducing relevant concepts and tools along with major modules.
“Deep Analytics for Massive Data: Roadmap Towards a Transformative Knowledge Grammar Using AI, Machine Learning, and Data Science”
Monday 6/7 – Friday 6/25/2021 | Weekdays 9:00 AM – 12:00 Noon | SYLLABUS
Minimal Prerequisites: College math and some experience in computing or IT are adequate.
The workshop uses cloud data and software resources (IBM cloud) in deploying applications. The cloud resources offer broad and complete coverage of topics with hands-on experience. Some initial programming language training is delivered to bring up the workshop participants to speed. At the conclusion, participants will acquire skills and tools in ML and data science for academic research, industrial development, or advanced research.
Topics include:
- The Landscape of the Fields
- Probability, Information, Uncertainty, Statistics, and Inference
- Linear Algebra, Vector Calculation, and Optimization
- Data science/machine learning methodologies
- Databases and Structured Query Languages
- Cloud Computing and Cloud Databases
- Unsupervised and Supervised Learning
- Natural Language Processing
- Computer Vision
- Time-Series Forecasting
Application Process: Interested faculty should fill out the application form, including a short paragraph describing how you plan to use the experience from the workshop in your research.
Space is limited to 15 participants.
The workshop format opens with a 90-minute lecture followed by a 90-minute lab administered by a team of IDSC instructors via Zoom.
Post-Workshop: For the effort of continuing research/teaching in data science and ML, consultation, and technical assistance will be available from IDSC.
