GRAD 50300 - AI Essentials: A Non-Technical Introduction

Credit Hours: 2.00. This course provides students on the translator track a foundation in the principles and methodologies of Artificial Intelligence (AI) to empower them to actively engage in interdisciplinary collaborations. With a focus on the essentials of AI, machine learning, and natural language processing, students will gain the knowledge and skills needed to bridge the gap between language and technology. Students will leverage AI tools and techniques to enhance translation efficiency, accuracy, and engagement in the ever-evolving digital landscape. Students will have a foundation in the methodology so they can effectively participate in interdisciplinary collaborations, serving as a valuable resource for industries where language and technology converge.

Learning Outcomes
1. Explain the basic concepts and applications of different AI algorithms and how they apply for specific fields for application or research purposes. 2. Describe the types of data inputs and outputs used in different AI applications. 3. Define a project and apply basic AI approaches in a programming environment. 4. Communicate methods and results of an AI project to specialists and non-specialists.

Credits: 2.00

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GRAD 50300 - AI Essentials: A Non-Technical Introduction