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Matthew Macarty

  • Assistant Professor of Practice
Academic Division: Operations and Information Management
CV
Over 15 years experience designing and delivering Graduate and Undergraduate courses in Computing Technologies and Decision Sciences. Design of both classroom and online learning curricula. Skilled in working with small teams to design curricula, develop accreditation standards and pursue sponsored research topics.

DoD Sponsored Research includes contributing investigator in both Phase I and Phase II Small Business Innovation Research Grants on topics in machine learning (Natural Language Processing, Object Detection) Co-author of numerous sponsored research proposals, provisional patents and academic publications, most recently appearing in IEEE Conference Papers, and numerous unpublished teaching cases.

Academic Degrees

  • MBA, University of New Hampshire
  • BS, University of New Hampshire

Academic Interest / Expertise

Data Analytics & Visualization; Machine Learning; Process Automation

Courses

  • Degree Courses 2025

    • OIM 3545 BUSINESS INTELLIGENCE AND DATA ANALYTICS
    • OIM 2645 MODELING WITH EXCEL
    • OIM 7502 ADVANCED PROGRAMMING BUSINESS ANALYTICS

  • Degree Courses 2024

    • OIM 3545 BUSINESS INTELLIGENCE AND DATA ANALYTICS
    • OIM 2645 MODELING WITH EXCEL
    • OIM 6301 PROGRAMMING FOR BUSINESS ANALYTICS
    • OIM 7502 ADVANCED PROGRAMMING BUSINESS ANALYTICS
    • OIM 3640 PROBLEM SOLVING & SOFTWARE DESIGN

Publications

Book Chapters

  • Macarty, M. (2020). Advanced Transformation with Functions: Data Analytics of Stock Price Movements with Python. Apress. link
  • Das, S., Ascano, R., Macarty, M. (2015). Agent-Based Distributed Analytical Search: Lecture Notes in Computer Science. Page: 40-52. Springer International Publishing. link

Conference Proceedings

  • Das, S., Ascano, R., Macarty, M. (2015). Distributed Analytical Search: Lecture Notes in Computer Science. Page: 263-266. Springer International Publishing. link

Other

  • Macarty, M. (2020). Backtesting a Trading Strategy: Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Data Transformation: Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Estimating Option Values: Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Introduction to NumPy, MatPlotlib And Pandas: Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Introduction to Technical Analysis: Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Summarizing Data: Data Analytics of Stock Price Movements with Python. Apress. link
  • Macarty, M. (2020). Value at Risk: Data Analytics of Stock Price Movements with Python. Apress. link