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The number of attempts which a candidate can avail at the examination is limited to three in consecutive years. As of 2018, the top 2,24,000 rankers of JEE-Main will qualify to take the second and final level of examination: JEE-Advanced. this number of 2.24 lakh is not fixed this may vary as per difficulty level of paper of JEE-Main. [7]
JEE-Main, unlike JEE-Advanced, has a fixed exam structure and is not subject to change every year. Up until 2018, the JEE-Main Paper-I was three hours long and consisted of thirty questions in each of the three subjects (physics, chemistry and maths). 4 marks are awarded for correct answers and 1 mark is deducted for incorrect answers.
The Joint Entrance Screening Test (JEST) is a national entrance test in physics and theoretical computer science conducted annually in India. The test is utilised by various Indian public research institutes to shortlist candidates for admission to PhD and Integrated PhD programmes with fellowships in theoretical computer science and areas in physics. [1]
The examination for all the papers is carried out in an online Computer Based Test (CBT) mode where the candidates are shown the questions in a random sequence on a computer screen. The questions consist of some Multiple Choice Questions or MCQs (four answer options out of which only ONE is correct, which has to be chosen).
On 18 June 2012, a more specific format was proposed by a joint meeting of the councils of IITs, NITs, and IIITs. As per this proposal, the exam would be called the Joint Entrance Examination (JEE) and would be made up of two parts, JEE-Main [9] and JEE-Advanced. Two distinct "patterns of admission" would be used.
JEE (Advanced) is conducted in two papers of three hours each – Paper-1 and Paper-2 (both compulsory) consist of questions from three major subjects: physics, chemistry and mathematics. Unlike most of the other exams, the type, the number of questions being asked in the paper, the total marks and the marking scheme varies from year to year ...
This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.
In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and explores the relationships between these classifications. A computational problem is a task solved by a computer.