ITCS 5153: Applied Artificial Intelligence
University of North Carolina, Charlotte
Introduction to fundamental concepts of Artificial Intelligence (AI), while focusing on the practical application of AI algorithms and technologies to the solution of real-world problems.� Students work with state-of-the-art libraries and frameworks, such as OpenAI, TensorFlow, PyTorch, Azure AI, and OpenCV.� Topics include: pathfinding, adversarial search, deep reinforcement learning, using neural networks to solve classification problems, speech recognition, language translation, object identification, and image manipulation.
Average GPA: 3.63
Grade distribution records: 245 students across 6 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 141 | 57.6% |
| B | 52 | 21.2% |
| C | 12 | 4.9% |
| W | 32 | 13.1% |
Based on 245 student grade records across 6 terms and 4 professors.
Instructors
- Waseem Shadid 127 students, Average GPA 3.66
- Julio Bahamon 57 students, Average GPA 3.39
- Devansh Desai 45 students, Average GPA 3.78
- Ziyu Liu 16 students, Average GPA 3.75