EssayPal.ai - This AI writes in your style of writing!

CMPSCI 4342

Introduction to Data Mining

Filter Reviews

Overall0
Easiness0
Interest0
Usefulness0
Reviews 1
1

Class Ratings

1Awful Class
1Very Hard
3Kinda Interesting
3Kinda Useful

Professor Rating

1Awful Prof

Prof: Uday K Chakraborty / Spring 2024

May 21, 2024

Comments on the course

Amazing course, instructor should not be assigned.

Course Content

Data preparation / transformation • Similarity and distance measures • Classification • Clustering • Association analysis • Outlier analysis • Selected papers from the literature Prerequisites: It is your responsibility to ensure that you meet the prerequisites for this course. In particular, students from a non-computer-science background must have coding skills in Python as a prerequisite. • Which chapters: The following chapters from Tan et al. will be helpful: Most of Chapters 1, 2, 3; much of Chapters 4 and 5; most of Chapter 7; some of Chapter 8; some of Chapter 9. In addition, use of the references mentioned under “Text and Other Material” would greatly benefit you. Supplementary material from other sources will be used (instructions on access will be provided). • Topics and sequenc...read more

Comments on the professor

Pros: He enjoys giving videos on topics with data mining, machine learning, algorithms, and statistics. Cons: You must figure out how to improve on your own. He advises you to re-watch his videos 3-4 times. He loads you up on information without clearly identifying objectives. He has no rubric for assignments (arbitration within grading) and I believe none of his assignments are his own, in the sense that he just finds assignments from other instructors or on the internet and feels his lecture videos are enough to complete the assignments. He can not comprehend where improvements need to be made because he teaches in theory base and not Data Mining practice.

Advice

Look for other schools that meet this requirement. It will be your last data science course if its your major and it will be difficult to finish seeing that the degree does not require or suggest you to take 1320, Math 3000, or Machine Learning or basic algorithms courses in which he advised another student to complete before retaking his course. Even though the degree has a prerequisite of Math 1100, Intro to Computers/C++, and Python for Data Analysis. Computer Science department can't remove him because no one else can teach the course and he has tenure. Avoid his course like the plague. Even if he is your only option substitute the course if you can.

Delivery: HybridGrade: Not sure yetWorkload: HeavyTextbook Use: Yes
Project Heavy

Leave a Review

Overall Rating

Easiness

Interest

Usefulness

Professor Rating

Comment on the course*

Course content

Comment on the professor

Advice