Sequence of Topics

This is the rough sequence of topics that we’ll study in this course. We’ll cover most of the topics below, in approximately the order listed. The exact schedule of topics, as well as things like due dates for assignments, will be available through BruinLearn.

Workflows

• Git and GitHub
• Blogging with Jekyll

Advanced Data Wrangling and Visualization

• Data Manipulation 1
• Geographic Data Visualization
• Databases
• Data Manipulation 2
• Interactive Data Visualization

Web Scraping

• Retrieving Simple Data
• Navigation
• Downloading Files

Web Development with Flask

• Simple Flask Websites
• Interactions with Python Code

Computational Math for Data Science

• Linear Algebra: Vectors, Matrices, and Linear Systems
• Linear Algebra: SVD and Eigen-things
• Illustration: Optimization for Machine Learning

Deep Learning with TensorFlow

• Tensors, layers, and Models
• Model Training and Evaluation
• Image Classification: Kernels
• Image Classification: Convolutional Neural Networks
• Text Classification
• Word Embeddings
• Mixed Features
• Text Generation

Network Science

• Introduction to Networks
• Network Data Science: Ranking and Clustering
• Epidemic Modeling on Networks

Other

• Time Series Analysis
• Agent-Based Modeling: Fundamentals
• Agent-Based Modeling: Data Logging and Visualization