Big Data Systems

Harvard Extension School

CSCI E-265

Section 1

CRN 26522

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Big data is everywhere. Artificial intelligence (AI) is becoming the new way of making progress in both industry and science. A fundamental goal across modern business and science is to use as many machines as possible, consume as much information as possible, and do so as quickly as possible. The big challenge is turning data into useful knowledge and actionable decisions. This is a moving target as both the underlying hardware and our ability to collect data evolve. In this course, we discuss how to design data and AI systems (data structures and algorithms for key data-driven areas, including large language models [LLMs], relational systems, distributed systems, graph systems, NoSQL, newSQL, machine learning, and neural networks). We see that they all rely on the same set of very basic concepts, and we learn to synthesize efficient solutions to any problem across these areas using those concepts.

Instructor Info

Stratos Idreos, PhD

Gordon McKay Professor of Computer Science, Harvard University


Meeting Info

1/25 to 5/15

Participation Option: Online Asynchronous

In online asynchronous courses, you are not required to attend class at a particular time. Instead you can complete the course work on your own schedule each week.

Deadlines

Last day to register:

Additional Time Commitments

Optional sections to be arranged.

Prerequisites

CSCI E-61, and CSCI E-66 or CSCI E-165, or the equivalent.

Notes

The recorded lectures are from the Harvard John A. Paulson School of Engineering and Applied Sciences companion course Computer Science 2650. Registered students can ordinarily live stream the lectures or they can watch them on demand. The recorded sessions are typically available within a few hours of the end of class and no later than the following business day. Class sessions for this course may include students enrolled in the companion course. Accordingly, when you participate in live class sessions, you will do so alongside both Division of Continuing Education (DCE) and SEAS students. If you participate in a way that causes you to appear in recordings of the class, those recordings may be shown to DCE students enrolled in this course or SEAS students enrolled in the companion course, according to the policies of the two schools on accessing recordings of class sessions.

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
26522 1 Online Asynchronous Stratos Idreos Open Jan 25 to May 15