Course Reviews for
Indiana Wesleyan University
10/10
average rating
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10 /10
Major: MS in Artificial Intelligence - Data Analytics
AIML-501 Model Development
Instructor: Chris Walker
Delivery: onsite
10 /10
AIML-501 Model Development has been a very valuable and well-structured course in the MS in Artificial Intelligence – Data Analytics program. Professor Chris Walker has done an excellent job presenting the course material in a clear, organized, and practical manner. The class has helped strengthen my understanding of model development, evaluation, and the overall process of building effective artificial intelligence and machine learning solutions. Professor Walker’s teaching style is engaging and supportive. He explains technical concepts clearly and connects them with practical applications, which makes the material easier to understand. He is approachable when students have questions and encourages participation and critical thinking throughout the course. His explanations help students understand not only how models are developed, but also why certain approaches, techniques, and evaluation methods are used. The homework load has been manageable and appropriately balanced with the course content. Assignments reinforce the topics discussed in class and provide useful opportunities to apply the concepts in practical situations. The workload requires consistent effort but is reasonable for a graduate-level course. Instructions and expectations have generally been clear, making it easier to organize and complete assignments on time. Classroom discipline and the overall learning environment have been professional and respectful. The course is organized in a way that encourages students to stay engaged and participate. Attendance expectations are clear and reasonable, and students understand the importance of being present and actively involved in the course. Overall, I have had a very positive experience in AIML-501. Professor Walker is knowledgeable, professional, and effective in communicating technical material. The course provides a strong foundation in model development and is highly relevant for students pursuing careers in artificial intelligence, machine learning, and data analytics. I would highly recommend this course and Professor Walker to other students in the program.
09/02/2026
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10 /10
Major: M.S. Computer Information Systems - Artificial Intelligence
DTAN-500 Foundations of Data Analytics
Instructor: McCoy,Robert
Delivery: onsite
10 /10
Professor Robert McCoy is a great instructor who conducts classes twice a week—one general class session and one discussion session, both of which are optional. His assignments in Data Analytics are very practical and helpful. I especially enjoyed the assignments focused on data cleaning and creating meaningful insights from Kaggle datasets, as they provided valuable hands-on experience with real-world data. Overall, his course is well organized and provides a good balance of learning and practical application.
09/02/2026
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10 /10
Major: Master’s in Data Analytics
DTAN-745 Advanced Application of Data Analytics
Instructor: Jody Ferrell
Delivery: online
10 /10
Good professor. Very engaging coursework.
08/31/2026
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10 /10
Major: M.S. Computer Information Systems - Artificial Intelligence
AIML-500 Machine Learning Fundamentals
Instructor: Asabe Dawudu
Delivery: onsite
10 /10
Professor Asabe Dawudu is a friendly and supportive instructor. Her assignments are practical and useful, especially the portfolio creation project, which helped me apply what I learned in a meaningful way. I really enjoyed the course and appreciated her teaching approach.
08/31/2026
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9 /10
Major: MS in Artificial Intelligence - Data Analytics
AIML-500 Machine Learning Fundamentals
Instructor: Nigel Basta
Delivery: onsite
9 /10
This course did a great job blending technical AI/ML fundamentals with practical leadership application, the mix of discussions, hands-on chatbot coaching sessions, and portfolio. The workload was substantial, but the variety of formats (case studies, quizzes, peer review, reflective writing) kept it engaging rather than repetitive.
08/20/2026
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8 /10
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
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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
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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
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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
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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
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