CIVE 991 – Advanced Special Topics in Civil Engineering
Topic: Machine Learning in Geoscience
Fall 2025 – Offered in both Omaha & Lincoln
Instructor: Tirthankar Roy
Course Details: : Tues and Thurs, 12:00 PM – 1:15 PM
Credit Hours : 3
Course Level : Graduate Only
Prerequisite : Permission
Course Description:
This course will begin with the fundamentals of machine learning and then cover a wide range of algorithms for regression and classification problems. We will also learn about different types of learning strategies, such as supervised, unsupervised, semi supervised, and reinforcement learning. Algorithms covered in this course will fall under multiple umbrellas, such tree-based algorithms, neural networks, recurrent modeling, attention- based algorithms, etc. Data will be a crucial focus of this course. The course will be project-based, and the problems can be selected from a wide range of topics related to Geoscience (e.g., hydrology, climate, meterolology, geology, etc.). You can design your project such that it aligns with your ongoing research. The course will also have lectures and discussion sessions. There will be no exams, but the students are required to submit regular work updates, submit a project report, and present their work. Based on the enrolments, we can also think of creating small groups for the projects. If the project work quality reaches a certain threshold, it can also be considered for peer-reviewed publication, but this is optional. The knowledge and experience gained from this course will be transferrable, and therefore, you will be able to apply these acquired skills to other problems as well. Please feel free to reach out to me via email or phone if you have additional questions.
Email: roy@unl.edu | Phone: (402) 554-6255
More details at: https://roy.unl.edu/