Course Reviews for
Harrisburg University
8/10
average rating
no filters applied
-
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
-
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
-
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
-
8 /10
Major: M.S. Analytics
ANLY 502 Analytical Methods I
Instructor: Layden Scott
Delivery: online
8 /10
The class in general is not that hard. There's a mid term and a final term of Multiple-choices with open book open notes under 4-hours which is more than enough. You'll learn about probability and distribution and some R coding. The professor is helpful and laid back. There's an easy final project at the end. Just do some EDA, stats test, and regression/prediction.
03/17/2026
-
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
-
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
-
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
-
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
-
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
-
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
Log in to see all reviews and access filters.
