Sign-in Links
GEOL 349 Computation and Machine Learning in Geosciences Through Music Units: 3.00
With the rapid advance of computing technology, computation and machine learning have become integral tools in many fields, including geoscience, engineering, and medical science. This principal impact course is an interdisciplinary course that combines the beauty of music with the power of advanced computation and machine learning to inspire next-generation scientists and engineers to tackle a vast array of problems in geosciences and related fields. We will collect, compute, and analyze musical or sound data, both instrumental and natural, and apply the approach to solve real-world problems.
Learning Hours: 120 (36 Lecture, 36 Laboratory, 48 Private Study)
Requirements: Prerequisite {GEOL 104/3.0 and (MATH 120/6.0 or MATH 121/6.0 or [MATH 123/3.0 and MATH 124/3.0]) and (PHYS 104/6.0 or PHYS 106/6.0 or [PHYS 115/3.0 and PHYS 116/3.0] or PHYS 117/6.0 or PHYS 118/6.0)} or permission of the Department.
Recommended CISC 101/3.0 or experience in any programming language, preferably Python and/or MATLAB.
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Acquire skills in high-performance computing and machine learning.
- Be able to collect, process, and interpret data from anthropogenic and natural music, sound, noise, and vibration.
- Identify complex problems in science and engineering and attempt to solve them using cutting-edge computational technology and artificial intelligence.
- Demonstrate awareness of the environmental impact of anthropogenic sound.
- Apply computational knowledge and skills to simulate and investigate complex human-environment interactions.