Virtual Data Science Summer Bootcamp
The University of Houston-Victoria is organizing its second virtual summer boot camp on data science on June 26-29, 2023. The boot camp covers topics listed below with a specialization that aligns with students’ technology career goals.
The objective of the proposed boot camp:
- Create an understanding of data science and machine learning
- Identify tools and technology related to the data science field
- Prospect further study with a career in the field of data science
- Get hands-on experience with a minor data science project
Day 1 and 2
Day 1:
- Introduction to data science and AI
- What are data science and real-life examples
- Traditional Learning with Machine Learning
- Applications of Artificial Intelligence
- Concepts of big data, deep learning, NLP & computer vision
- Machine Learning Libraries
- Demonstration of data science using machine learning with TensorFlow
- Various data visualization tools demonstration
Day 2:
- Linear and logistic regression
- Decision trees, Support Vector Machine & Ensemble learning
- K-Means and Hierarchical clustering
- Demo on housing price prediction
- Demo on email spam
- Deep Neural Network
- Fully-Connected Feedforward Neural Nets
- Recurrent Neural Nets
- Demo on building deep learning model
Day 3 and 4
Day 3:
- Introduction to computer vision, Image processing and CNN
- Use cases and applications
- Image resizing and cropping
- Keras Augmentation Model
- Convolution with Augmentation
- ImageNet
- Augmented Reality (Marker based and Marker less)
- Virtual Reality and Mixed Reality
- Vuforia Engine Demo project
Day 4:
- Demonstration of UHV’s research projects on data science and AI
- Divide participants into the group for collaborative minor project
- Hands-on data science activities using machine learning with Python – Small project development and presentation by each group
- Q&A and feedback interaction about bootcamp
- Announce 1st, 2nd and 3rd project winners
- Goodbye address
I chose UHV due to its proximity to my home, affordable tuition, and charming campus size. I like that it is easy to connect with professors both inside and outside of the classroom.
Frederica Amfo
Current Student