She Becomes Ugly if She Doesn’t Study
Chapter 770
After thinking for a few minutes on the bed, Tang Su picked up the phone again.
This time she clicked on the WeChat account of a classmate she was not familiar with.
"Did you send something to our dormitory?"
Tang Su sent a message to the monitor Guo Wen this time, but this time she didn't directly say it was a flower.
After a while, Guo Wen replied.
He first made two surprised expressions, and then replied: "No, did someone deliver something to your dormitory?"
Tang Su: ...
Stepping on the thunder again, Tang Su felt that his brain was beaten.
She felt so strange.
If it wasn't for Xue Yao, or the boy who paid more attention to her, then she really couldn't think of who it was.
Is it a former classmate of Changde?
Liu Yi?
probably not. Liu Yi and himself are just ordinary classmates. After entering Qingda, Liu Yi has not sent him any news.
So Ye Lei? Wu Hao?
These people, Tang Su felt even more impossible.
Unable to think who it was, Tang Su decided to go to that flower shop tomorrow to ask.
The dormitory manager has made it clear that she is not sending flowers to the dormitory office. If she can't find the person who sent the flowers, there may be a bunch of flowers tomorrow.
——
The next day, Tang Su got up early.
There are eight classes today, and there are many classes.
And today, I have to change the classroom as well.
The first and second sections are college physics.
Tang Su didn't know why he took a physics class, which was a bit strange, because this physics class had almost nothing to do with his major.
This course is a public course. It seems that all departments of the School of Information are open except for the big data major.
Although it had nothing to do with the major, Tang Su still listened carefully.
In some classes, she won't spend so much time studying, but she still has to listen in class.
After the second class, Tang Su went to another classroom, 504, Comprehensive Building of Xinyuan College, and took the course "Introduction to Data Science". In this class, Tang Su was still a little worried that he would not understand.
Because this course is taught entirely in English, and the teachers are also from abroad.
Tang Su saw the teacher on the podium. The teacher was tall, at least 190 years old, white, and looked about forty years old.
After the students were almost there, the teacher said:
"Good morning, everyone. I'm your data science teacher. My name is Tony. This semester we will take a course related to data science."
"What is data science. Data science is the integration of business knowledge, machine learning, statistical learnin), computer programming and other multidisciplinary fields."
As soon as the teacher said two words, some of the students below were stunned.
Because many people did not understand what the teacher said at all, especially the second sentence.
The teacher speaks very fast, plus some words that are not very common, so many people can't understand.
Tang Su didn't understand too much. She only knew that the second sentence was the teacher explaining the definition of data science.
Opening the textbook, Tang Su looked for the words corresponding to what the teacher said.
The textbook of the course "Introduction to Data Science" is a Chinese-English version, so you can still understand the content of the textbook.
Tang Su felt a lot of pressure. Because not only the introduction to data science is taught in English, but there are several courses in the back that are all taught in English, and they are all professional courses.
Tang Su scored 141 in English in the college entrance examination, and she believed that her classmates also scored well in English.
But looking at everyone's appearance, it seems that they don't understand very well.
Everyone can make English questions and even understand some English articles that are not too difficult, but this kind of teaching is all in English, and the content of the teaching is not English but other courses, which seems to be a big challenge for everyone. .
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