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Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

2019

Artificial Intelligence and Robotics

Open Educational Resources

Articles 1 - 4 of 4

Full-Text Articles in Physical Sciences and Mathematics

Module: Robot Senses, Mohammad Azhar May 2019

Module: Robot Senses, Mohammad Azhar

Open Educational Resources

Learning Objectives:

Students will be able to:

  • Describe the basics of Sensors

  • Learn how to program the LEGO Robot to make decision using touch sensors

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Module: Robot Locomotion Mini Hackathon, Mohammad Azhar May 2019

Module: Robot Locomotion Mini Hackathon, Mohammad Azhar

Open Educational Resources

Learning Objectives:

Students will be able to:

  • Describe the basics of Robots.

  • Describe basic hardware and software of the LEGO Robot.

  • Write sequential code for LEGO Robot to move.

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Cs04all: Machine Learning Module, Hunter R. Johnson Feb 2019

Cs04all: Machine Learning Module, Hunter R. Johnson

Open Educational Resources

These are materials that may be used in a CS0 course as a light introduction to machine learning.

The materials are mostly Jupyter notebooks which contain a combination of labwork and lecture notes. There are notebooks on Classification, An Introduction to Numpy, and An Introduction to Pandas.

There are also two assessments that could be assigned to students. One is an essay assignment in which students are asked to read and respond to an article on machine bias. The other is a lab-like exercise in which students use pandas and numpy to extract useful information about subway ridership in NYC. …

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Cs04all: Natural Language Processing Project, Hunter R. Johnson Feb 2019

Cs04all: Natural Language Processing Project, Hunter R. Johnson

Open Educational Resources

In this archive there are two activities/assignments suitable for use in a CS0 or Intro course which uses Python.

In the first activity, students are asked to "fill in the code" in a series of short programs that compute a similarity metric (cosine similarity) for text documents. This involves string tokenization, and frequency counting using Python string methods and datatypes.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Proj1?viewer=share/

In the second activity (taken directly from Think Python 2e) students use a pronunciation dictionary to solve a riddle involving homophones.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Dicts2?viewer=share/

This OER material was produced as a result of the CS04ALL CUNY OER project

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