Graduate Certificate in AI and Machine Learning
The recent advancement in AI and Machine Learning has made significant impact in a wide range of research fields and industries. The purpose of the graduate certificate is to prepare students and professionals to understand the foundation and advanced skills in AI and machine learning and to handle the growing demands in applying cutting-edge AI techniques.
Requirements
The 15 credit hours Graduate Certificate will be offered as a stand-alone certificate. Students will need to have a 3.00 GPA to complete the program.
| Required (6 credit hours) | ||
| CMP_SC 7720 | Introduction to Machine Learning and Pattern Recognition | 3 |
| or ECE 7720 | Introduction to Machine Learning and Pattern Recognition | |
| CMP_SC 8725 | Supervised Learning | 3 |
| or ECE 8725 | Supervised Learning | |
| Electives (select three courses from the following) | ||
| Foundations of AI | ||
| CMP_SC 7750 | Artificial Intelligence I | 3 |
| CMP_SC 7770 | Introduction to Computational Intelligence | 3 |
| or ECE 7870 | Introduction to Computational Intelligence | |
| CMP_SC 8370 | Data Mining and Knowledge Discovery | 3 |
| CMP_SC 8750 | Artificial Intelligence II | 3 |
| CMP_SC 8780 | Advanced Topics in Computational Intelligence | 3 |
| or ECE 8875 | Advanced Topics in Computational Intelligence | |
| Machine Learning | ||
| CMP_SC 8180 | Machine Learning Methods for Biomedical Informatics | 3 |
| CMP_SC 8735 | Unsupervised Learning | 3 |
| or ECE 8735 | Unsupervised Learning | |
| CMP_SC 8770 | Neural Networks | 3 |
| or ECE 8890 | Neural Networks | |
| Robotics | ||
| ECE 7320 | Architectural Robotics | 4 |
| CMP_SC 7730 | Building Intelligent Robots | 4 |
| or ECE 7340 | Building Intelligent Robots | |
| Computer Vision | ||
| CMP_SC 7650 | Digital Image Processing | 3 |
| or ECE 7655 | Digital Image Processing | |
| CMP_SC 8690 | Computer Vision | 3 |
| Natural Language Processing | ||
| CMP_SC 7740 | Interdisciplinary Introduction to Natural Language Processing | 3 |
| CMP_SC 8740 | Advanced Natural Language Processing | 3 |