Major:
M.S. Computer Information Systems - Artificial Intelligence
AIML-505 Large Language Models and Generative Artificial Intelligence
Instructor:
Dr. Mary Lind
Delivery:
onsite
8
/10
The class was good; all the coursework was still manageable. The onsite class was spent just creating one big project and presenting it in class. She is usually giving high grades. No online meeting ever held, only onsite. This class teaches you the concept of LLM but doesn't go to deep into coding an LLM like RAG or creating an AI agent from scratch, mostly theory
08/13/2026
9
/10
Major:
MS in Artificial Intelligence - Data Analytics
DTAN-505 Data Visualization
Instructor:
Dr. Marvin Hunt
Delivery:
online
9
/10
His class was great; he usually has an online meeting every Tuesday, and it is not compulsory to come, just a nice addition where you can discuss with the professor. The class itself is not too coding-heavy, and it teaches you the basics of R, but it is not too detailed, and you don't have to come up with all the R coding; you can use the help of AI as well. Attendance is chill, the professor is nice, and he is pretty good at giving good grades. Overall nice, professor.
08/13/2026
10
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
AIML-500 Machine Learning Fundamentals
Instructor:
McCullough, David
Delivery:
online
10
/10
The class was well organized, and the professor explained the material clearly. Attendance was required, which encouraged regular participation, and the homework load was manageable. The teaching style was interactive and helpful, with opportunities to ask questions and understand the topics better. Overall, it was a good class and a useful learning experience.
08/13/2026
10
/10
Major:
MS in Artificial Intelligence - Data Analytics
AIML-505 Large Language Models and Generative Artificial Intelligence
Instructor:
Melisa Snyder
Delivery:
onsite
10
/10
As the course enters its final weeks, I have had an excellent experience in AIML-505: Large Language Models and Generative Artificial Intelligence with Professor Melisa Snyder. I attended the onsite sessions in July, and they were highly engaging, well organized, and valuable for understanding the course material.
Professor Snyder has an effective and interactive teaching style. She explains complex topics related to large language models and generative artificial intelligence in a clear and approachable way. She encourages participation, responds thoughtfully to questions, and creates an environment where students feel comfortable discussing ideas and asking for clarification. The onsite classes were especially helpful because they provided opportunities for direct interaction, practical discussions, and a deeper understanding of the concepts covered in the course.
The homework workload has been manageable and well balanced. The assignments support the material taught in class without feeling excessive. They require students to apply what they have learned and think critically about the practical use of generative AI technologies. The expectations and instructions have generally been clear, allowing students to plan their work effectively.
Classroom discipline has been professional and respectful. Professor Snyder maintains a focused learning environment while still making the class engaging and welcoming. Attendance requirements have been communicated clearly and handled reasonably. Students understand the importance of attending the onsite sessions and participating actively.
Overall, this has been a high-quality course and a valuable part of the MS in Artificial Intelligence–Data Analytics program. Professor Snyder is knowledgeable, supportive, and highly engaging. I would strongly recommend this course to students interested in large language models, generative AI, and their real-world applications.
08/04/2026
9
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
AIML-500 Machine Learning Fundamentals
Instructor:
Cliff Birdsell
Delivery:
online
9
/10
AIML-500 (Machine Learning Fundamentals) with Professor Cliff Birdsell provides an excellent, well-structured online learning experience. The coursework is clear, practical, and offers a manageable workload that reinforces core AI concepts effectively. Professor Birdsell’s engaging instruction and strong organization make this course highly valuable. Highly recommended!
07/26/2026
10
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
AIML-510 Responsible Application of Artificial Intelligence
Instructor:
Scott McCullough
Delivery:
online
10
/10
Professor is good and easy when it comes to grading, assignments are feasible.
07/24/2026
10
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
AIML-500 Machine Learning Fundamentals
Instructor:
Scott McCullough
Delivery:
online
10
/10
The course is informative and assignments are feasible, the professor is engaging and not rough on grading.
07/24/2026
10
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
AIML-500 Machine Learning Fundamentals
Instructor:
Scott McCullough
Delivery:
online
10
/10
My professor was knowledgeable and made the class engaging. The hands-on activities and practical assignments helped reinforce the concepts and made learning more interactive. Overall, the course was informative and provided a strong foundation in machine learning.
07/18/2026
10
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
CSCI-505 Object-oriented Programming
Instructor:
Dr. Clifford Birdsell
Delivery:
online
10
/10
My professor explained the concepts and material really well. They are helpful, and encourage students to learn. Overall, I had a positive experience in this class.
07/18/2026
9
/10
Major:
M.S. Computer Information Systems - Artificial Intelligence
