First, study hard in the first course and get high marks.

Don't think it's useless to take courses. Every course is set for a reason, and you will need it one day.

Especially the knowledge of tools, such as English, mathematics, how to read cutting-edge papers intensively if English is not good, and there is no difference in mathematics in the engineering field!

Algorithm engineer, the most popular autopilot, needs excellent advanced mathematics skills to support it.

Second, make full use of all school resources.

Including library resources, elective courses resources, undergraduate and doctoral courses resources, teachers resources, classmates resources, laboratory resources, etc. ...

First of all, we should have a good relationship with the tutor and seek his guidance as much as possible. Secondly, other professors in the school, even Daniel in the field, can bravely seek guidance, and their mailboxes can be found in some way. Academic bulls are generally approachable.

Anyone who is interested in this master's course can find a way to check the timetable and just listen to it. ...

Third, the ability to collect and read documents in a centralized way.

Web of science and SCI-hub are recommended, and Google Academic is also good, and excellent English reading ability is the foundation.

You must learn to write a literature review instead of just reading it.

I first collected a large number of excellent papers in this field, and then classified them into model reading and intensive reading one by one. Intensive reading is printed on paper, important information is sketched, and notes are taken at any time. After reading it, the summary of the system is in a notebook. A good memory is better than a bad writing.

Fourth, computer ability.

In today's scientific research, computer ability is becoming more and more important. Using computer tools and software well can sometimes get twice the result with half the effort.

I like to think when I see something, so I can draw a mind map with Xmind at any time and recommend it to everyone.

Because I study automobile, I often need to use matlab to build a model to verify and optimize the theory, and I have invested a lot of time in matlab learning.

In addition, car embedded software is developed based on C, and C language learning has also invested a lot of energy.

Fifth, in the era of knowledge payment, I am willing to invest.

When you encounter difficulties that can't be solved, or need fast and advanced knowledge theory, you should stand on the shoulders of others.

A person's energy is limited, and it is impossible to learn everything. If you encounter problems, you can ask the gods in related fields for help.

I have paid a lot of help on platforms such as CSDN and Zhihu, and sometimes I really listen to you. ...