University at Buffalo 4 credits Artificial Intelligence
This course is designed to introduce freshman and sophomore undergraduate students to the technical and societal workings of programming languages in artificial intelligence (AI). Programming languages are expressions of the mathematics developers need to create, train, and deploy AI systems of all kinds. Students in this course will not be learning a variety of programming languages, though a few will be explored lightly. This course explores the why of programming: the logic that makes it necessary (so far). The course introduces students to mathematical concepts integral to AI, such as probability, statistics, and gradient descent and invites them to think about why programming languages are needed for the development of AI. At the end of the course, students will have a basic understanding of why programming works, will have independently used the programming software jupyter notebooks, and will be able to identify basic python libraries for training a handful of AI models on their own machine.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.