Typical questions are basic questions, after-school exercises in textbooks and basic questions in reference books all belong to this category. When doing this kind of problems, we should have such an attitude: doing problems is a test of mastering knowledge points. In the process of doing problems, we should not just do problems for the sake of doing problems, but think actively, so that we can understand and master knowledge more deeply, and the knowledge we have learned can become our own knowledge and have independent problem-solving ability.
For example, the calculation of linear algebra is relatively large, but the possibility of pure calculation is relatively small. There is calculation in general proof and entrainment in abstraction. This requires candidates to pay attention to the logical rigor of proving questions and master the basic usage of some knowledge points in proving some conclusions. Although the examination of linear algebra can be flexible, the usage of these basic knowledge points is relatively fixed, as long as you master all kinds of splicing methods skillfully.
Second, the simulation questions
Simulation questions are generally more difficult than real questions. For this kind of problem, it is used to expand your own exercise field, so don't be too obsessed with doing it well. Even if you don't do well, there is no need to be too discouraged. If you can do it, do it directly instead of taking the exam.
In addition, it is recommended that candidates prepare two notebooks when reviewing. One is to sort out knowledge points, formulas and theorems that you don't understand when reviewing; The other is that the wrong questions have accumulated the wrong questions encountered during their review. I don't see the important role of these two books in the early stage of review, but the more you review them, the more important you will find them. These two books are the most suitable review materials for my postgraduate sprint review.
Finally, at this stage, I hope everyone can develop the habit of doing the questions seriously. Many students will find that they can do the problem clearly but can't get points, mostly because they don't solve the problem seriously. Therefore, in the initial review, train yourself to use draft paper reasonably and try to write regularly and carefully, which will reduce the error rate. You know, it is better to do big questions on the test paper, and the grading is still step by step, so there will be no points for small questions.
Third, the real questions over the years
The real question resources are limited. If you simply do the problem, even if you do it three or five times, you will finish it at once. Therefore, when you do real questions, you must devote yourself wholeheartedly, treat the real questions every year as examination questions, grasp the time, and control the time for doing each real question within two and a half hours. After you finish, grade your test paper according to the grading standard given by the examiner, record and analyze the mistakes in the test paper, and find out the answers given by the examiner. In addition, in addition to doing real questions, everyone should learn to summarize the real questions over the years and list the test sites in the real questions over the years in a table, which can help you predict the test sites.
Finally, I have to mention a spirit of doing the problem. Most candidates believe that if you want to learn math well, you can get high marks as long as you do more questions. In fact, you can't get high marks by using the sea tactics. Many students who got high marks and were admitted to famous universities have mentioned and done it several times when introducing the learning methods of mathematics. However, it should be noted that they pay more attention to doing this set of questions repeatedly, not simply repeating them, but summing up experience and methods in the process of doing them. Therefore, we should strengthen a certain number of question training, gradually improve our speed and proficiency in solving problems, and strengthen our deep understanding of knowledge points, even if we only improve our computing ability, we should "chew" and "drill".