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Monteleoni, Claire Elizabeth

Professor

Positions

Research Areas research areas

Research

keywords

  • Machine Learning, Artificial Intelligence, Climate Informatics, Big Data, Climate Science, Climate Change, Renewable Energy

Publications

selected publications

Teaching

courses taught

  • CSCI 4622 - Machine Learning
    Primary Instructor - Fall 2019 / Fall 2022
    Introduces students to tools, methods, and theory to construct predictive and inferential models that learn from data. Focuses on supervised machine learning technique including practical and theoretical understanding of the most widely used algorithms (decision trees, support vector machines, ensemble methods, and neural networks). Emphasizes both efficient implementation of algorithms and understanding of mathematical foundations.
  • CSCI 5434 - Probability for Computer Science
    Primary Instructor - Spring 2021 / Spring 2022
    This course will introduce computer science students to topics in probability and statistics that will be useful in other computer science courses. Basic concepts in probability will be taught from an algorithmic and computational point of view, with examples drawn from computer science.
  • CSCI 5622 - Machine Learning
    Primary Instructor - Fall 2018 / Fall 2020
    Trains students to build computer systems that learn from experience. Includes the three main subfields: supervised learning, reinforcement learning and unsupervised learning. Emphasizes practical and theoretical understanding of the most widely used algorithms (neural networks, decision trees, support vector machines, Q-learning). Covers connections to data mining and statistical modeling. A strong foundation in probability, statistics, multivariate calculus, and linear algebra is highly recommended.
  • CSCI 6950 - Master's Thesis
    Primary Instructor - Fall 2019 / Spring 2020 / Fall 2022 / Spring 2023
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  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Spring 2019 / Spring 2020 / Fall 2021
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.

Background

International Activities