Exploring different implementations of computation as networks and understanding their limits and similarities.
keywords
Tensor Networks, string diagrams, category theory
Teaching
courses taught
CSCI 3104 - Algorithms
Primary Instructor
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Fall 2018 / Spring 2019
Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy algorithms, dynamic programming, linear programming, graph algorithms, problems in P and NP, and approximation algorithms. Same as CSPB 3104.
CSPB 3022 - Introduction to Data Science with Probability and Statistics
Primary Instructor
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Summer 2021
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 CSCI 3022.
CSPB 3104 - Algorithms
Primary Instructor
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Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Fall 2020 / Spring 2021 / Summer 2021 / Fall 2021 / Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023
Covers the fundamentals of algorithms and various algorithmic strategies, including time and space complexity, sorting algorithms, recurrence relations, divide and conquer algorithms, greedy algorithms, dynamic programming, linear programming, graph algorithms, problems in P and NP, and approximation algorithms. Same as CSCI 3104.
CSPB 3155 - Principles of Programming Languages
Primary Instructor
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Summer 2022 / Fall 2022 / Spring 2023 / Summer 2023 / Fall 2023 / Spring 2024
Studies fundamental principles governing the design and analysis of programming languages and the execution models underlying them. Explores a variety of concepts including values, scoping, recursion, higher-order functions, type systems, control structures, and objects. Introduces the notion of formal semantics as a framework to understanding programming features. Same as CSCI 3155.
CSPB 3702 - Cognitive Science
Primary Instructor
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Fall 2020 / Spring 2021 / Fall 2021 / Spring 2022 / Summer 2022 / Fall 2022 / Summer 2023 / Fall 2023
Introduces cognitive science, drawing from psychology, philosophy, artificial intelligence, neuroscience, and linguistics. Studies the linguistic relativity hypothesis, consciousness, categorization, linguistic rules, the mind-body problem, nature versus nurture, conceptual structure and metaphor, logic/problem solving and judgment. Emphasizes the nature, implications and limitations of the computational model of mind. Recommended prerequisites: two of the following CSCI 1300 or CSCI 2275 or LING 2000 or PHIL 2440 or PSYC 2145. Same as LING 3005 and PHIL 3310 and PSYC 3005 and SLHS 3003 and CSCI 3702.
