Course description:
As part of this class, students will learn about the methodology of conducting a research project on practical use-cases in the field of machine learning, image processing, robotics or computer vision, from the bibliography to the final abstract preparation and conference presentation. The students will select a research project among those proposed by the academic team, which will either be the replication of a research paper, the application of a state-of-the-art methodology to a known problem, or the design of a new solution to a known problem from the state-of-the-art. From this project, the students will start with surveying the state-of-the-art, then designing a methodology to solve the problem (or replicate the results), learning to implement this methodology, and lastly learning how to evaluate and present the results. Finally, the students will prepare a small abstract summarizing their research, and we will organize a small conference-like session where the students will review each-other’s paper and present their work.
Academic honesty/integrity statement:
Students are expected to maintain the highest standards of academic integrity. All work submitted must be original and properly cited. Plagiarism, cheating, or any form of academic dishonesty will result in immediate consequences as outlined in the university's academic integrity policy.