Catalog of Courses
Browse below to find courses being taught at EMCC during current and upcoming semesters. Courses are listed in alphanumeric order based on course subject prefix and number. You may click on the subject listings in the left filter menu to narrow results by subject. You may search for current class offerings available for enrollment by clicking on the link under each course. Click here to view the official current and archived book versions of the EMCC Academic Catalog.
Introduction to the study of the African-American experience. Interdisciplinary approach includes historical underpinnings; population and cultural characteristics; social, economic, and political issues; and implications for the future. Prerequisites: None.
Basic concepts and applications of artificial intelligence (AI), including AI project cycles. Focus on issues surrounding AI including ethics, bias, culture, regulations, and professional expectations. Prerequisites: None.
Introduction to machine learning concepts and Python applications, including data acquisition, supervised and unsupervised learning, and data modeling.Prerequisites: A grade of C or better in AIM100, CIS156, and MAT206.
Fundamental concepts in Natural Language Processing (NLP) and text processing. Focus on knowledge and skills necessary to create a language recognition application.Prerequisites: A grade of C or better in AIM110.
Understand and apply the basic techniques to process images using OpenCV and Python libraries.Prerequisites: A grade of C or better in AIM110.
Fundamentals of artificial intelligence (AI) and machine learning to support business solutions.Prerequisites: A grade of C or better in AIM210 and AIM220.
Focus on how a social issue is explored, brought through the Artificial Intelligence (AI) Project cycle, and delivered as a solution using the different domains of AI, including computer vision and natural language processing.Prerequisites: A grade of C or better in AIM210 and AIM220.