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13th September 2011, 02:00 AM
neeraj_m
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Cochin University B. Tech in Information Technology 7th Sem - Artificial Neural Networks Exam - Download Previous Years Question Papers


B. Tech in Information Technology, Artificial Neural Networks paper of Cochin University is completely a subjective type paper. It consists of ten long answer type questions comprised within a single section only. Each question may or may not be having sub parts. Each question of this paper holds 20 marks. The marks may be divided into two or more parts if the question is having one or more sub parts. Students need to go for five questions from the ten given questions. Each question is optional to its next question. The papers consists a total of 100 marks and the total time allotted for its completion is 3 hours. Below are attached some of the previous years question papers. For more details and information visit: http://entrance-exam.net/cochin-univ...tworks-papers/
Attached Files
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 1.pdf(50.1 KB, 739 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 2.pdf(77.8 KB, 505 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 3.pdf(260.4 KB, 475 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 4.pdf(43.1 KB, 395 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 5.PDF(96.4 KB, 412 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 6.pdf(42.2 KB, 348 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 7.pdf(39.0 KB, 333 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 8.pdf(65.9 KB, 392 views)
File Type: pdf Cochin University B. Tech in IT 7th Sem - Artificial Neural Networks Sample Paper 9.pdf(38.4 KB, 374 views)


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