Andrew H. Fagg: Classes

• 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)

• 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)

Andrew H. Fagg