Spring 2024, Section 001

3.00 Credits

Schedule Number 26565

Instructors: Badr, Youakim

Important Dates

  • First Day of Class:
  • End of Class:

Sample Course Syllabus

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Tuition and Fees

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Remarks

Natural Language Processing (NLP) is a subfield of Artificial Intelligence. This course covers basic as well as advanced concepts to gain a detailed understanding of NLP tasks such as language modeling, text to speech generation, natural language understanding, and natural language generation.
Students will learn the necessary skills to design a range of applications, including sentiment analysis, translating between languages, and answering questions.
Throughout the course, the practical implementation of these applications with deep neural networks is also discussed.

Schedule This Course

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Materials

There are no required materials for this course.

Technical Requirements

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This is the minimum technology needed to access the internet and Canvas course materials. Students should review this page for any additional hardware and software requirements for their academic program.

Software Requirements

Requires: Python, Tensorflow and NLTK are used and these are open source.

Note

The above information is subject to change at any time by the Pennsylvania State University