��AV��Ƶ: Courses and Certificates

Certificates in AI

Each college will collaborate with the School of Computing to offer
interdisciplinary certificates in Artificial Intelligence open to students of any major.

Stay tuned!

��AV��Ƶ currently offers several courses focused on artificial intelligence, in addition to related courses in data analytics.

View the Undergraduate Catalog and Graduate Catalog for all courses at ��AV��Ƶ.

Undergraduate
Courses

CAI 4105: Machine Learning

This course covers fundamental algorithms and programming techniques in machine learning that enable software systems to improve their performance on certain tasks by learning from data. Topics include various learning models used in different machine learning settings, such as supervised learning and unsupervised learning.

CAP 3784: Introduction to Data Analytics

This course gives a broad overview of the various aspects of data analytics and visualizations. Students will learn ways of accessing data from various sources such as web APIs and repositories, techniques of cleaning data and organizing data for analysis, using analytical methods to solve real-world problems, and create visualizations to aid the interpretation of analysis results.

CAP 4630: Introduction of Artificial Intelligence

Course topics include heuristic techniques for problem-solving and decision making, control and search strategies, knowledge representation, logic, AI languages, and tools. Applications such as machine learning, natural language understanding, planning, and robotics will be included.

CAP 4770: Data Mining

This course covers methods and systems for mining varied data and discovering knowledge from data. The course will expose students to concepts and techniques of data mining, including characterization and comparison, association rules mining, classification and prediction, and mining complex types of data. Students will also examine applications and trends in data mining.

IDC 2002: AI for All

This course is designed to introduce the concept of Artificial Intelligence (AI) and what AI is not. Students will be exposed to the potential of AI in the completion of everyday tasks, and the prospect of enhancing existing jobs and introducing new professions. Student will gain hands-on experience using online AI tools and techniques, while addressing the ethical implications of AI in academia and industry, including privacy, fairness and plagiarism.

IDS 1932: Computational Thinking in the Age of AI

How does computational thinking prepare you to live and work in the 21st century? This course focuses on learning the "big ideas" of computing. Students will also gain a historical perspective of computing and where it is heading, including the advancements of emerging technologies like generative artificial intelligence. Visit FYE

Graduate
Courses

CAP 5605: Introduction to Artificial Intelligence

This course is intended for beginning graduate students lacking background in this area. Course topics include heuristic techniques for problem solving and decision making, control and search strategies, knowledge representation, logic, and AI languages and tools.

CAP 6610: Machine Learning

The course studies fundamental techniques and algorithms in machine learning. Introduces techniques like regression, classification, and clustering and describes the differences among them. The course also studies a variety of supervised and unsupervised learning algorithms including SVM, KNN, ANN, Q-Learning among others.

CAP 6635: Advanced Artificial Intelligence

This course will provide in-depth coverage of uninformed and informed search strategies, thoughtful ways to represent knowledge, and incisive techniques that support rational decision making including under uncertainty. Application areas will include game playing, machine learning, natural language processing, and robotics.

CAP 6768: Data Analytics

The aggressive rate of data growth has outpaced our ability to manually understand what data represents. Data is typically stored in database and files, and represented in different formats (structured, semi-structured, or no structure). Data analytics is the science of applying quantitative techniques to analyze data with the objective of discovering hidden knowledge and identifying interesting patterns.

CAP 6777: Data Mining

This course is about mining knowledge from data in order to gain useful insights and predictions. The course will expose students to concepts and techniques of data mining, including data extraction, exploratory data analysis, visualization, association rules mining, classification and prediction, cluster analysis, and mining complex types of data.

PhD Program

PhD in Computing: Intelligent Systems

This doctoral program with a concentration in intelligent systems offers students an advanced, research-based education in computing that focuses on studying theories, concepts, and systems that are inspired by the intelligent behaviors of humans, species and biological systems.

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Non-Credit Certificates

AI for Creators Certificate

This certificate program, offered by ��AV��Ƶ Professional and Lifelong Learning, is tailored for creative professionals and enthusiasts looking to harness the power of Generative AI in their artistic and storytelling endeavors.

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AI for Professionals Certificate

This certificate program, offered by ��AV��Ƶ Professional and Lifelong Learning, is designed for working professionals who are keen on integrating Generative AI into their professional skill set. The program targets those looking to enhance their knowledge and application of AI in various professional contexts..