DSBA 6165: Artificial Intelligence and Deep Learning

University of North Carolina, Charlotte

Introduces state-of-the-art methods in deep learning while setting a proper context for the growth of machine learning by providing an overview of the broader field of artificial intelligence (AI).� Topics emphasize neural networks and deep learning architectures, but also include broader AI concepts such as knowledge representation, computer vision, as well as advanced learning methods such as transfer learning and reinforcement learning.� Application of the deep learning methods to real world problems such as computer vision, natural language processing, and genomic analysis are examined both in class and in projects.�

Average GPA: 3.60

Grade distribution records: 116 students across 7 terms.

Grade distribution

Based on 116 student grade records across 7 terms and 5 professors.

Instructors

• Minwoo Lee 33 students, Average GPA 3.76
• Albert Park 28 students, Average GPA 3.93
• Samira Shaikh 23 students, Average GPA 3.04
• Archit Parnami 22 students, Average GPA 3.41
• Minhaj Nur Alam 10 students, Average GPA 4.00