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Office for Faculty Affairs - Standing Committees
SEAS Standing Committees 2024-25 Committee for Higher Level Award Nominations Identify candidates from SEAS faculty for high-level awards (e.g., NAE, NAS, etc.). David Parkes (Chair) James Anderson Evelyn Hu David Mooney (Fall) Samir Mitragotri (Spring) Madhu Sudan
Data Science 2: Advanced Topics in Data Science
APCOMP 209B
2026 Spring
Pavlos Protopapas, Alex Young
Monday, Wednesday, Friday
9:45am to 11:00am
Data Science 2 is the second half of a one-year introduction to data science. Building upon the material in Data Science 1, the course introduces advanced methods for statistical modeling, representation, and prediction. Topics include multiple deep learning architectures such as CNNs, RNNs, transfo...
Data Science 1: Introduction to Data Science
COMPSCI 1090A
2025 Fall
Pavlos Protopapas, Kevin A. Rader
Monday, Wednesday
10:30am to 11:45am
Data Science 1 is the first half of a one-year introduction to data science. The course will focus on the analysis of messy, real life data to perform predictions using statistical and machine learning methods. Material covered will integrate the five key facets of an investigation using data: (1) d...
Data Science 2: Advanced Topics in Data Science
COMPSCI 1090B
2026 Spring
Pavlos Protopapas, Alex Young
Monday, Wednesday, Friday
9:45am to 11:00am
Data Science 2 is the second half of a one-year introduction to data science. Building upon the material in Data Science 1, the course introduces advanced methods for statistical modeling, representation, and prediction. Topics include multiple deep learning architectures such as CNNs, RNNs, transfo...
Data Science 1: Introduction to Data Science
APCOMP 209A
2025 Fall
Pavlos Protopapas, Kevin A. Rader
Monday, Wednesday
10:30am to 11:45am
Data Science 1 is the first half of a one-year introduction to data science. The course will focus on the analysis of messy, real life data to perform predictions using statistical and machine learning methods. Material covered will integrate the five key facets of an investigation using data: (1) d...
Advanced Practical Data Science
APCOMP 215
2025 Fall
Pavlos Protopapas
Tuesday, Thursday
12:45pm to 2:45pm
The primary objective of this course is to provide a comprehensive understanding of the Deep Learning process in a practical, real-world context. With a strong emphasis on Machine Learning Operations (MLOps), this course not only reviews existing Deep Learning flows, but also enables students to bui...
