Kharitonova is undoubtedly a skilled data scientist, but she lacks the organizational and communication skills needed to be an effective professor. Her syllabus contradicted itself and the things she said in class, her answers in lecture were often bungled, unsure, or not conducive to the student questions, and her grading criteria were vague.

I took this class in the fall, but I remember her being so sweet and respectable. She would always ask us if we were doing okay, and if she needed to, she would slow down. Super easy intro compsci course.

Easy class, just a group project come up with an idea in the beginning of class and spend the entire quarter completing with your team. No exams or quizzes

Its like Dr. Jekyll and Mr. Hyde but if both of them were evil. She started 4 projects and forgot about 3 of them, making 1 a completion grade (after I spent 8 hours on it). I'm only giving her a 2 because its her first year teaching this class but avoid it if you can get any other prof. She also has an army of TAs called 'the team'. BEWARE

The main problem with Prof Kate is that it's clear she's more used to teaching coding than data science. Most of the quizzes, labs, and assignments treat data as a means to the end of learning code. Then, when many people do poorly on the midterm project, she acts surprised. Unclear grading, somewhat disorganized and unresponsive. Otherwise okay.

Attendance in both the class and section accounts for an important part of your grade. Most projects are in pairs, so be careful who you work with. Sections were heavy toward the end of the class. Lectures are put me to sleep.