ITAI 1370 Artificial Intelligence History, Theory, & Platforms

An overview of the history, theories and platforms of Artificial Intelligence.

Credits

3

Offered

Fall

Outcomes

1. Demonstrate the difference between machine learning and artificial intelligence giving a few samples of image segmentation, training a neural network and documenting these examples in a Jupyter Notebook.
2. Describe the process, meaning and structure of neural networks, deep learning and machine learning (document this in a Jupyter Notebook).
3. Describe an ethical position from which responsible development of artificial intelligence can proceed by providing an essay about one of the more important topics challenging our society.
4. Describe the role artificial intelligence can play in various computing platforms, from IoT devices, robots, traditional corporate networks, swarms (of simple robots or drones) to the world wide web.
5. Configure a Github and Wiki to document team projects in building an AI Machine Learning platform.
6. Construct a financial feasibility for a typical business AI project in market research.