Course Reviews for
Harrisburg University
8/10
average rating
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9 /10
Major: M.S. Analytics
ANLY 502 Analytical Methods I
Instructor: Brian Myers
Delivery: online
9 /10
Be prepared for a heavy amount of assignments. However, the course has a lot of useful information and materials for your career. Professor is easy to reach out and fast to response. Overall, it’s still a great course, bur be prepared for the workload.
07/28/2026
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8 /10
Major: M.S. Learning Technologies and Media Systems
LTMS 500 Macro Instructional Design
Instructor: Mark Moore
Delivery: online
8 /10
The teacher was very nice and calm, and always took the time to explain everything clearly. The assignments were straightforward and easy to follow. My only critique is that grading took a while, which made it harder to correct work using the feedback since so much time had passed by the time it came back.
07/27/2026
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7 /10
Major:
Instructor:
Delivery: onsite
7 /10
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07/23/2026
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8 /10
Major: M.S. Analytics
ANLY 512 Data Visualization
Instructor: Alan T. Hitch
Delivery: onsite
8 /10
This course is a practical R-based data visualization class. The main reference is R for Data Science from 2017, which is a very useful book and worth reading; it is available through O’Reilly. Assignments are usually due every 2–3 weeks and are completed in R Markdown. For submission, you mainly need to upload the HTML file generated from the RMD file, rather than submitting through RPubs. There are no exams in this course. The final project requires you to collect data about yourself and create visualizations based on that data. At least one visualization in the final project needs to be interactive. Overall, the course is manageable if you are comfortable learning R and keeping up with the assignments.
06/26/2026
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10 /10
Major: M.S. Project Management
PMGT 574: Lean Thinking
Instructor: Matt Christen
Delivery: onsite
10 /10
The professor knows the subject well, demonstrates passion for it and for teaching in general. He is always open to ideas for him to keep improving the course and the learning atmosphere, in addition to the food and snacks he brings during in-person classes. One of the best professors I've take a course with at HU.
06/11/2026
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8 /10
Major: M.S. Project Management
PMGT 515: Business Analysis Fundamentals
Instructor: Anjali Barnick
Delivery: online
8 /10
Knowledgeable professor. She knows the concepts and uses videos to demonstrate them to make us think (sometimes twice). I also liked the in-class assignments, as they made a full use of the class meeting time and reduced the workflow after class.
06/11/2026
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8 /10
Major: M.S. Learning Technologies and Media Systems
LTMS 699 Applied Project in LTMS
Instructor: Sa Liu
Delivery: onsite
8 /10
LTMS 699 has the same code as HCID 699, it's the last course from the master's, and I took it with Sa Liu. The professor was accommodating and made us present on progress, mostly every class, but even if sometimes you get behind, she gives options to catch up. Very nice class.
06/01/2026
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8 /10
Major: M.S. Analytics
ANLY 500 Analytics I: Principles and Applications
Instructor: Layden Scott
Delivery: online
8 /10
Very easy class, the professor speaks for a while, do pauses to check and does not require participation. Most of the assignments can be find online.
05/27/2026
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9 /10
Major: M.S. Analytics
ANLY 510 Analytics II: Principles and Applications
Instructor: Mark Newman
Delivery: online
9 /10
It's a useful class to learn t-test, ANOVA, and regressions in R. The professor is nice and the class materials are related to answers for the assignments. You just need to listen to the class. The class load is on average.
05/21/2026
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1 /10
Major: M.S. Analytics
ANLY 540: Natural Language Processing - Semantic Representations
Instructor: Alicia Jackson
Delivery: onsite
1 /10
1. 必须交报告（报告不全 她批改） 2. 不能抄（包括AI） 3. 不改分 4. 迟交每天 -2% 但是如果你想学点东西 应该还行。
03/21/2026
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