Course Schedule
CSCI 49395 · Fall 2026 · Tuesdays and Thursdays
Tuesday, August 25, 2026
Course Introduction: Trustworthy Big Data Systems
Integrating Big Data, AI & Privacy
Course Overview
Tuesday, September 8, 2026
Privacy Fundamentals and PII
Fundamental Privacy Concepts
Personally Identifiable Information (PII)
Privacy Risks at Scale
Release: A1 - Lab 1: Detecting PII in Large Datasets
Thursday, September 17, 2026
Module 2: Data Anonymization
Data Anonymization
k-anonymity
l-diversity
Release: A3 - Lab 3: Differential Privacy in Practice
Due: A2 - Lab 2: Anonymization — k-anonymity & l-diversity
Tuesday, September 22, 2026
Module 3: Differential Privacy
Randomized Response
Differential Privacy
Privacy and Accuracy
Local and Central Differential Privacy
Thursday, October 8, 2026
Module 4: GDPR
Personal Data
GDPR Principles
Legal Bases and Data Subject Rights
International Transfers and Data Breaches
Tuesday, October 20, 2026
Module 5: Apache Spark and Big Data Pipelines
The Big Data Challenge
Scaling Up vs. Scaling Out
Partitioning and MapReduce
Shuffles and Skew
Distributed Processing and Privacy
Thursday, October 22, 2026
Module 5: Apache Spark and Big Data Pipelines
What Is Apache Spark?
RDDs, DataFrames, and Lazy Evaluation
PySpark Hands-On
Jobs, Stages, and Tasks
Privacy-Aware Pipelines