Lecture

Project-Based Learning in Communications and Robotics

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In course

COM-304: Intelligent systems: communications & AI

The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundation models, robotics, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes o ...

Description

This lecture introduces a project-based course focused on communications and robotics. The instructor outlines the course structure, emphasizing practical projects that require students to innovate and work collaboratively under hardware constraints. The course is designed to prepare students for real-world challenges by encouraging independent research and problem-solving. Students will engage in hands-on projects using various hardware platforms, including Turtlebot 4 Lite and BladeRF 2.0 SDR. The lecture also discusses the importance of teamwork and adaptability, as this is the first iteration of the course, which may evolve based on student feedback. The instructor highlights the significance of learning to navigate challenges independently, as students will not always have direct guidance. The course will include lectures on wireless communications, sensing, and reinforcement learning, providing a comprehensive foundation for students to develop their projects. Overall, the lecture sets the stage for an engaging and dynamic learning experience in the fields of communications and robotics.

Instructors (2)

Amir Roshan Zamir

Amir Zamir is a Tenure-Track Assistant Professor of Computer Science at the Swiss Federal Institute of Technology in Lausanne (EPFL). Prior to EPFL, he spent time at Stanford, UC Berkeley, and UCF. His research interests are broadly in computer vision, machine learning, perception-for-robotics, and AI. He has been recognized with CVPR (2018) Best Paper Award, CVPR (2016) Best Student Paper Award, CVPR (2020) Best Paper Award Nomination, and NVIDIA Pioneering Research Award (2018), among others. His research has been covered by various press outlets, such as The New York Times or Forbes.

Haitham Al Hassanieh

Teaching & PhD PhD Students Eduard Vlad, Raphael Cannatà, Arman Maghsoudnia, Jiachen Lu, Samah Hussein Youssef, Hailan Zhang Shanbhag, Aoyu Gong Courses Intelligent systems: communications & AI COM-304 The course teaches the development of systems that solve real-world challenges in communications, signal processing, foundation models, and AI. Students will work in teams, construct their ideas, and either program available hardware prototypes or build their hardware or software system.

Official source

Related concepts (32)

Project-based learning

Project-based learning (PBL) is a student-centered pedagogy that involves a dynamic classroom approach in which it is believed that students acquire a deeper knowledge through active exploration of real-world challenges and problems. Students learn about a subject by working for an extended period of time to investigate and respond to a complex question, challenge, or problem. It is a style of active learning and inquiry-based learning.

Problem-based learning

Problem-based learning (PBL) is a student-centered pedagogy in which students learn about a subject through the experience of solving an open-ended problem found in trigger material. The PBL process does not focus on problem solving with a defined solution, but it allows for the development of other desirable skills and attributes. This includes knowledge acquisition, enhanced group collaboration and communication. The PBL process was developed for medical education and has since been broadened in applications for other programs of learning.

Educational technology

Educational technology (commonly abbreviated as edutech, or edtech) is the combined use of computer hardware, software, and educational theory and practice to facilitate learning. When referred to with its abbreviation, edtech, it often refers to the industry of companies that create educational technology. In addition to the practical educational experience, educational technology is based on theoretical knowledge from various disciplines such as communication, education, psychology, sociology, artificial intelligence, and computer science.

Inquiry-based learning

Inquiry-based learning (also spelled as enquiry-based learning in British English) is a form of active learning that starts by posing questions, problems or scenarios. It contrasts with traditional education, which generally relies on the teacher presenting facts and their knowledge about the subject. Inquiry-based learning is often assisted by a facilitator rather than a lecturer. Inquirers will identify and research issues and questions to develop knowledge or solutions.

Signal processing

Signal processing is an electrical engineering subfield that focuses on analyzing, modifying and synthesizing signals, such as sound, , potential fields, seismic signals, altimetry processing, and scientific measurements. Signal processing techniques are used to optimize transmissions, digital storage efficiency, correcting distorted signals, subjective video quality and to also detect or pinpoint components of interest in a measured signal. According to Alan V. Oppenheim and Ronald W.

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