Course Reviews for
Harrisburg University
8/10
average rating
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10 /10
Major: M.S. Analytics
ANLY 545 Analytical Methods II
Instructor: James Souders
Delivery: online
10 /10
The professor knows things well and provides good feedback on assignments. Attendance is mandatory, and students are required to send a summary after listening to the recorded lecture for any missed class session. Most of the assignments are helpful and require a reasonable workload. I just wish the Minitab instructions are more up-to-date.
02/19/2026
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10 /10
Major: M.S. Analytics
ANLY 530 Machine Learning I
Instructor: Alan T. Hitch
Delivery: online
10 /10
This professor is kind and professional. Homework load and classroom discipline is average for ciam. He normally uses examples to illustrate the concepts and sometimes gives tests to check if we understand them. The tests are not too hard.
02/19/2026
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8 /10
Major: M.S. Project Management
PMGT 580: Project Management Offices
Instructor: Stephen Wall-Smith
Delivery: online
8 /10
Considerate professor who are flexible about deadlines. I once forgot to submit a discussion post (after drafting it on a document). He still gave me full credit after I noticed the missing work and turned it in.
02/12/2026
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9 /10
Major: M.S. Analytics
ANLY 510 Analytics II: Principles and Applications
Instructor: Muzaffar, Tasleem
Delivery: onsite
9 /10
onsite 课挺短的 不会一直上5小时。作业 和 和 exam 一定要注意要求 不然分会低。好处是 可以用 ai但是 要标记。
02/04/2026
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1 /10
Major: M.S. Analytics
ANLY 510 Analytics II: Principles and Applications
Instructor: Stanley Chinedum Nwoji
Delivery: onsite
1 /10
快跑！！！作业巨多，每节课都点人起来问答问题，平均每节课会被点到3～5次，onsite从一点上到六点，一分钟都不会提前。
02/03/2026
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7 /10
Major: M.S. Analytics
ANLY 500 Analytics I: Principles and Applications
Instructor: Erin M. Buchanan
Delivery: online
7 /10
The class is about learning R and the professor is basically reading slides for the class. The workload is a bit heavier than average. You'll have a lab coding exercise after every class and mid-term final-term exams and a big final group project from data gathering, cleaning, EDA and analysis.
01/29/2026
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4 /10
Major: M.S. Learning Technologies and Media Systems
LTMS 525 Learning Theories and Instructional Strategies
Instructor: Marian A. Gigliotti
Delivery: onsite
4 /10
Marian is very knowledgeable, and she makes classes interesting; it's easy to participate and to learn. However, she is extremely rigid about the assignment dates, and she gives A LOT of work, to the point that there is very little time to work on anything else. Also, she has a very strict policy against ANYTHING slightly similar to AI, especially Grammarly.
01/07/2026
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8 /10
Major: M.S. Analytics
620 Ethics for Data Analytics
Instructor: Ella Gullacci
Delivery: online
8 /10
整体上是一次非常值得的学习体验！尤其适合已经在数据或分析领域工作的同学。可以了解和锻炼“会不会”“应不应该”做某件数据相关决策，而不仅仅是“能不能”实现技术操作。but！如果你期待的是纯技术实现或编程训练，这门课可能不会满足你。。。
12/28/2025
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8 /10
Major: M.S. Learning Technologies and Media Systems
MGMT 520 Professional Communication
Instructor: Scott Rainey
Delivery: onsite
8 /10
The topic itself is so basic and common sense, that it becomes dull and boring, however the teacher is great and engages in conversation as needed. While he come from a military background, he mixes a very organized coursework from day one with a helpful flexibility that makes the process painless and easy. I would recommend it.
12/22/2025
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10 /10
Major: HCID
HCID 512 Design of Smart Technologies
Instructor: Megan Cackett
Delivery: online
10 /10
Great class! The teacher is very organized and still quite flexible. At the same time, the workload is quite reasonable and you always know what you have to do and when. She returns the assignments super quickly and gives many chances for class participation. The structure is a huge plus in this class.
11/09/2025
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