Andrew H. Fagg: Classes

• CS 5043: Advanced Machine Learning: Deep Learning (Spring 2025)
  • CS/DSA 5703: Machine Learning Practice (Fall 2024). There are two versions of the class:
    • CS 5703-001: In Person
    • All other sections: Online and asynchronous

  • CS 5043: Advanced Machine Learning: Deep Learning (Spring 2024)

  • CS/DSA 5703: Machine Learning Practice (Fall 2023). There are two versions of the class:
    • CS 5703-001: In Person
    • All other sections: Online and asynchronous

  • CS 5043: Advanced Machine Learning: Deep Learning (Spring 2023)

  • Machine Learning Practice (Fall 2022)

  • CS 5043: Advanced Machine Learning: Deep Learning (Spring 2022)

  • Machine Learning Practice (Fall 2021)

  • CS 5043: Advanced Machine Learning: Deep Learning (Spring 2021)

  • AME 3623: Embedded Real-Time Systems (Spring 2021)

  • CS 3113: Introduction to Operating Systems (Fall 2020)

  • CS 5043: Advanced Machine Learning: Deep Learning (Spring 2020)

  • AME 3623: Embedded Real-Time Systems (Spring 2020)

  • CS 3113: Introduction to Operating Systems (Fall 2019)

  • DSA/CS 5970: Machine Learning Practice (Fall 2019)

  • CS 5043: Advanced Machine Learning: Deep Learning (Spring 2019)

  • AME 3623: Embedded Real-Time Systems (Spring 2019)

  • CS 3113: Introduction to Operating Systems (Fall 2018)

  • CS 5043: Advanced Machine Learning (Spring 2018)

  • AME 3623: Embedded Real-Time Systems (Spring 2018)

  • CS 2334: Programming Structures and Abstractions (Fall 2017)

  • AME 3623: Embedded Real-Time Systems (Spring 2017)

  • CS 2334: Programming Structures and Abstractions (Fall 2016)

  • Mobile Manipulation (Spring 2016)

  • AME 3623: Embedded Real-Time Systems (Spring 2016)

  • CS 2334: Programming Structures and Abstractions (Fall 2015)

  • CS 5970: Advanced Mobile Manipulation Challenge (Spring 2015) (graduate seminar/lab)

  • AME 3623: Embedded Real-Time Systems (Spring 2015)

  • CS 1323: Introduction to Computer Programming (Fall 2014)

  • CS 5970: Mobile Manipulation (Spring 2013) (graduate seminar/lab)

  • AME 3623: Embedded Real-Time Systems (Spring 2013)

  • ENGR 1411: Freshman Engineering Experience: Computing in the Physical World (Fall 2012)

  • CS 5970: Mobile Manipulation (Spring 2012) (graduate seminar/lab)

  • AME 3623: Embedded Real-Time Systems (Spring 2012)

  • ENGR 1411: Freshman Engineering Experience: Computing in the Physical World (Fall 2011)

  • CS 5970: Empirical Methods for Computer Science (Spring 2011)

  • AME 3623: Embedded Real-Time Systems (Spring 2011)

  • CS 2334: Programming Structures and Abstractions (Fall 2010)

  • CS [45]163: Embedded Systems (Spring 2010)

  • AME 3623: Embedded Real-Time Systems (Spring 2010)

  • CS 2334: Programming Structures and Abstractions (Fall 2009)

  • CS 4163/5163: Embedded Systems (Spring 2009) is a Presidential Dream Course in conjunction with Adam Brown's Art class on How to Build Robots for Artists.

  • AME 3623: Embedded Real-Time Systems (Spring 2009)

  • CS 5970: Empirical Methods for Computer Science (Fall 2008)

  • AME 3623: Embedded Real-Time Systems (Spring 2008)

  • CS 4163/5163: Embedded Systems (Spring 2008)

  • ENGR 1420: Freshman Engineering Orientation (Spring 2008)

  • AME 3623: Embedded Real-Time Systems (Spring 2007)

  • CS 5973/4973: Embedded Systems (Spring 2007)

  • ENGR 1420: Freshman Engineering Orientation (Spring 2007)

  • CS 5973/002: Empirical Methods for Computer Science (Fall 2006)

  • AME 3623: Embedded Real-Time Systems (Spring 2006)

  • Sm[Art] Spaces Seminar (Spring 2006)

  • CS 5973: Neuro/Cognitive Robotics (Fall 2005)

  • AME 3623: Embedded Real-Time Systems (Spring 2005)
  While At UMass...
  • CS 503/591C: Embedded Systems (Fall 2003)

  • CS 377: Operating Systems (Spring 2003)

  • CS 377: Operating Systems (Fall 2002)

  • CS 691w: Introduction to Wearable Computing (Spring 2002)

  • CS 691c: Computational Neuroscience (Fall 2001)

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  Andrew H. Fagg