Dr. Larremore's research focuses on developing methods of networks, dynamical systems, and statistical inference, to solve problems in social and biological systems. In particular, his work focuses on (1) infectious disease epidemiology and modeling, (2) the ecosystem of scientific research, including the dynamics of faculty hiring In 2020, and (3) networks, network theory, and their applications in computational social science.
keywords
Network science, dynamical systems, statistical models and inference, computational social science, science of science, patterns in academic science, COVID-19, SARS-CoV-2, malaria, recombinant genetics, epidemiology, infectious diseases, modeling
CSCI 2897 - Calculating Biological Quantities
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Spring 2021 / Fall 2021 / Fall 2022
Master practical mathematical techniques for representing and analyzing biological quantities of different kinds. Develop mathematical intuition about biological calculations. Learn to model and solve simple feedback processes. Learn to model and solve simple accumulation processes. Learn to model and decompose simple vector spaces. Learn standard approximation and optimization strategies. Adapt and combine methods to solve real-world problems. Background in biology not required. This course is intended for students who are interested in Computational Biology, but will not take Differential Equations (APPM 2360/MATH 3430) as part of their degree plan. Does not count as Computer Science credit for Computer Science majors or minor.
CSCI 3022 - Introduction to Data Science with Probability and Statistics
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Spring 2018 / Fall 2018
Introduces students to the tools methods and theory behind extracting insights from data. Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical simulation, drawing inferences from data, and basic statistical modeling. Same as CSPB 3022.
CSCI 4802 - Data Science Team Companion Course
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Spring 2019 / Fall 2019
Gives students hands-on experience applying data science techniques and machine learning algorithms to real-world problems. Students work in small teams on internal challenges, many of which will be sponsored by local companies and organizations and will represent the university in larger teams for external challenges at the national and global level, such as those hosted by Kaggle. Students will be expected to participate in both internal and external challenges, attend meetings and present short presentations to the group when appropriate. Same as CSCI 5802.
CSCI 4830 - Special Topics in Computer Science
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Spring 2023 / Spring 2024
Covers topics of interest in computer science at the senior undergraduate level. Content varies from semester to semester. Only 9 credit hours from CSCI 4830 and/or CSCI 4831 can count toward Computer Science BS or BA.
CSCI 4950 - Senior Thesis
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Spring 2019 / Fall 2019 / Spring 2020 / Fall 2020 / Spring 2021
Provides an opportunity for senior computer science majors to conduct exploratory research in computer science as an option for the capstone requirement. Department enforced prerequisites: 35 hours of Computer Science coursework including Foundation courses, Upper-Division writing, CS GPA 3.0. Department consent required, contact academic advisor for details. May be repeated up to 8 total credit hours.
CSCI 5352 - Network Analysis and Modeling
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Fall 2018 / Fall 2019 / Fall 2020
Examines modern techniques for analyzing and modeling the structure and dynamics of complex networks. Focuses on statistical algorithms and methods, and emphasizes model interpretability and understanding the processes that generate real data. Applications are drawn from computational biology and computational social science. No biological or social science training is required. Recommended prerequisites: CSCI 3104 and APPM 3570.
CSCI 5802 - Data Science Team Companion Course
Primary Instructor
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Spring 2019 / Fall 2019
Gives students hands-on experience applying data science techniques and machine learning algorithms to real-world problems. Students work in small teams on internal challenges, many of which will be sponsored by local companies and organizations and will represent the university in larger teams for external challenges at the national and global level, such as those hosted by Kaggle. Students will be expected to participate in both internal and external challenges, attend meetings and present short presentations to the group when appropriate. Instructor consent required. Same as CSCI 4802.
CSCI 6950 - Master's Thesis
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Fall 2019 / Spring 2020 / Fall 2023 / Spring 2024 / Fall 2024
CSCI 7000 - Current Topics in Computer Science
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Fall 2019 / Spring 2020 / Fall 2020 / Fall 2021 / Fall 2022 / Spring 2023 / Spring 2024
Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 18 total credit hours.
