Robotics, Autonomous Vehicles, Drones, and Artificial Intelligence

Harvard Extension School

DGMD E-17

Section 1

CRN 26008

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This course explores the field of robotics, autonomous vehicles, and drones, and exposes students to the core technologies and systems through practical exercises and simulation. These are fields with tremendous growth and opportunities in the next 10-50 years; billions of dollars are being invested and the market size is expected to grow 10-15 percent annually. The impact of these technologies can fundamentally revolutionize a multitude of industries and transform our society, from self-driving cars to same-day drone delivery, to robotic assistants and laborers. This course explores the theories, tools, and processes that enable these technologies and the challenges, limitations, and capabilities of modern robotics, autonomous vehicles, and drone technologies. Students learn about sensor technologies for automation, autonomy from a systems perspective, vision-based perception and techniques, modern machine learning and artificial intelligence algorithms, mathematical modeling and abstraction, and engineering design. The goal is to develop a fundamental toolkit to advance the next generation within the field.

Instructor Info

Nabib Ahmed, AM

Artificial Intelligence Researcher, Meta


Meeting Info

T 5:30pm - 7:30pm (1/27 - 5/17)

Participation Option: Online Asynchronous or Online Synchronous

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: January 23, 2025

Prerequisites

CSCI E-7 or CSCI E-50 or equivalent. Experience with programming, technical and code documentation, and data (any programming language will do; some examples are Python, R, Java, or C/C++). Familiarity with algebra and geometry. No background needed in machine learning, computer vision, or wearable devices.

Notes

This course meets via web conference. Students may attend at the scheduled meeting time or watch recorded sessions asynchronously. Recorded sessions are typically available within a few hours of the end of class and no later than the following business day.

Syllabus

All Sections of this Course

CRN Section # Participation Option(s) Instructor Section Status Meets Term Dates
34560 1 Online Asynchronous, Online Synchronous Nabib Ahmed Open MW 6:30pm - 9:30pm
Jun 24 to Aug 9
26008 1 Online Asynchronous, Online Synchronous Nabib Ahmed Open T 5:30pm - 7:30pm
Jan 27 to May 17