This is a good question, it is true that many students in the first year of graduate school will have a certain amount of pressure when facing the course, especially those with a weak scientific research foundation, it does take longer to complete the course, and some students will step on the deadline to submit.
I am currently teaching machine learning (deep learning) to our graduate students, and I do require students to come out with **, and the direction choice space is relatively large, but you can't use the way of review, you need to have your own work and ideas in it.
If you have carried out machine learning-related scientific research activities during your undergraduate, you can make some upgrades on the basis of your undergraduate, which is no problem, but if you only take the undergraduate's first-class delivery, the teacher is still easy to find, after all, the innovations involved in it have a timeline.
It is impossible for a hot field of innovation like machine learning to produce no new results in nearly a year, so if the current innovation hotspot direction is not reflected in the course, it will obviously be questioned by teachers.
The course is usually only required to be based on one point, and the teacher usually emphasizes new achievements, new research and new directions, so in the process of carrying out the course, students will focus on the results of the last one or two years, and will combine the big innovation trends.
In addition, it is important to note that there is a difference between the undergraduate period and the graduate period, and the focus is on whether there is innovation and whether the right questions are raised. Usually, the undergraduate level pays more attention to the application of technology and does not focus on innovation, while the graduate level, whether it is small or large, innovation is the core requirement.
After the completion of the course, the teacher will usually arrange a centralized communication session, and will ask the students to make a description of the writing process, and will develop some based on the content in the course.
Finally, if you have any questions related to graduate school or scientific research, please feel free to communicate with me.