Major:
MS in Artificial Intelligence - Data Analytics
DTAN-505 Data Visualization
Instructor:
Dr. Marvin Hunt
Delivery:
online
10
/10
Professor is good at giving grades, assignment not to heavy on coding with R, a good class to enroll in
10/15/2026
10
/10
Major:
MS in Artificial Intelligence - Data Analytics
AIML-500 Machine Learning Fundamentals
Instructor:
Glory Adebayo
Delivery:
onsite
10
/10
Dr. Glory is an easygoing, approachable, and supportive professor whose teaching style makes learning interesting and engaging. He made my first residency, alongside Dr. Barry Whyte, a memorable experience. I learned a great deal that day and was able to apply what I learned by building a chatbot for my workplace. Since I teach basic computer skills to English learners, I developed a chatbot that explains basic computer concepts in their native languages. This has been a practical and meaningful application of the knowledge gained in class.
His grading system is fair, and his approach to teaching creates a positive learning environment. As a former international student, he understands the unique challenges international students may face. He is patient, approachable, and willing to work with each student to support their success.
Overall, I had an excellent experience in his class. His teaching style, supportive attitude, and practical instruction made the course valuable to me both academically and professionally. If I had the opportunity to choose my professors, I would gladly choose Dr. Glory again.
10/12/2026
8
/10
Major:
MS in Artificial Intelligence - Data Analytics
AIML-505 Large Language Models and Generative Artificial Intelligence
Instructor:
Frederick Ainoo
Delivery:
onsite
8
/10
Overall, this was a valuable and engaging course that provided practical learning experiences and demonstrated how concepts can be applied directly in industry. One of the highlights was the opportunity to build actual applications and participate in a hackathon. These activities made the course interactive, interesting, and relevant to real-world professional practice.
Dr. Ainoo demonstrated a strong commitment to student learning through his detailed feedback on assignments and direct responses to our discussion posts. I particularly appreciated his engagement in discussions, as it helped us gain a deeper understanding of the topics, learn from feedback, and get the most out of the learning experience. His teaching approach encouraged critical thinking, active participation, and practical application of the concepts covered.
The homework and assignments were relevant to the course objectives and provided opportunities to apply what we learned. The turnaround time for grading was generally reasonable, although there is still some room for improvement. Receiving feedback a little sooner would help students identify areas for improvement and apply lessons learned to subsequent assignments more effectively.
One area that could be improved is the overall strictness of the grading. Although the professor provided explanations for point deductions, I sometimes felt that the grading was overly stringent and that my work deserved more credit. A slightly more flexible approach, while maintaining high academic standards, could make the evaluation process feel more balanced and encouraging.
Overall, I greatly appreciated this course, particularly its practical industry applications, the opportunity to develop applications, and the professor's direct engagement with students. The course challenged me to think critically, expand my skills, and apply what I learned in meaningful ways. Thank you, Dr. Ainoo, for a great semester and for challenging us to bring out the best in ourselves.
10/12/2026
10
/10
Major:
Master’s in Data Analytics
3FA2026 Grad Practical Train/Extern I
Instructor:
Adedeji
Delivery:
online
10
/10
The classes were pretty good and we got a lot of help.
10/09/2026
10
/10
Major:
Master’s in Data Analytics
3FA2026 Stats/Business Decision-Making
Instructor:
Nathalia
Delivery:
onsite
10
/10
The class is pretty good. The teachers pushes us to learn new stuff and also explain on slides what we need and how we need to do.
10/09/2026
8
/10
Major:
MS in Artificial Intelligence - Data Analytics
DTAN-505 Data Visualization
Instructor:
George Bridges
Delivery:
online
8
/10
Informative class overall!
10/02/2026
10
/10
Major:
MS in Artificial Intelligence - Data Analytics
AIML-501 Model Development
Instructor:
Chris Walker
Delivery:
online
10
/10
As AIML-501 Model Development enters its final two weeks, I can say that this course has been an awesome and very valuable learning experience. Professor Chris Walker has done an excellent job throughout the course by making the topics clear, practical, and engaging.
The course has helped me better understand the model development process and how different machine learning concepts are applied in real-world situations. Professor Walker’s teaching style is clear, supportive, and easy to follow. He explains technical concepts in a way that makes them easier to understand and is always helpful when students have questions.
The homework load has been manageable and well balanced. The assignments have been useful in reinforcing what we learned in class and gave us opportunities to apply the concepts practically. The workload was appropriate for a graduate-level course and did not feel unnecessarily overwhelming.
The classroom environment has also been professional, organized, and respectful. Attendance requirements and course expectations were clearly communicated, which made it easy to stay on track throughout the semester.
Now that the course is in its final two weeks, I feel that I have gained a lot from AIML-501. It has been one of the most useful and enjoyable courses in the program. Overall, I had an awesome experience with both the course and Professor Chris Walker, and I would highly recommend this class to other students interested in artificial intelligence, machine learning, and model development.
10/01/2026
10
/10
Major:
Master’s in Data Analytics
DTAN-530 Data Preparation and Reporting
Instructor:
Jonathan Morgan
Delivery:
online
10
/10
Good teaching. Learned a lot.
09/30/2026
7
/10
Major:
MS in Artificial Intelligence - Data Analytics
DTAN-500 Foundations of Data Analytics
Instructor:
Matasha Murrell Jones
Delivery:
online
7
/10
Overall a good class only if the instructor was prompt at responding.
09/30/2026
9
/10
Major:
MS in Artificial Intelligence - Data Analytics
AIML-505 Large Language Models and Generative Artificial Intelligence
Instructor:
Dr. Mary Lind
Delivery:
onsite
9
/10
Class was pretty good, but please do not expect like any hard technical stuff. It's mostly like theoretical. The class was mostly talking about machine learning models. When it was time for residency, we were tasked to create an AI agent. That was pretty fun, but most of the time the class taught you theory and not coding stuff.
