UG: 3-4 years PG: 2 years Eligibility UG: 10+2 in any stream PG: Bachelor’s degree in a related discipline Admission Process Admission Examination/ Direct Admission Entrance Exam UG: CUET UG, NID Entrance Exam, UCEED PG: AIEED, CEED ...
1. How does the CBSE Syllabus 2024-25 Class 10 Help the Students in Their Exam Preparation? The updated syllabus of class 10 CBSE prepared by the experts at Vedantu helps the students in preparing for their exams in a methodical manner. Students can find the complete syllabus in one place ...
The study of Income Tax Law in BCom covers the 14 sections and 298 sub-sections of this section in a detailed manner. This subject constitutes the calculation of a taxpayer’s taxable income, the tax due on that income, the allowed appeals process, and the possible penalties for failure to...
In this section, we've discussed the requirements for Fashion Design, which is one of the most popular courses in the design field. The eligibility requirements for the Fashion Design course are nearly identical to those for the other courses. If you match the prerequisites, you will be admitt...
The UG course of B. Des in communication design has 8 semesters distributed over 4 years. The post-graduation course is of 2 years’ duration. It has more advanced topics included in the syllabus in the field of communication design. The following section mentions each of the subjects that ...
The game industry is growing continuously at a rate faster than 50 per cent every year. A big percentage of India’s population is below the age of 35 years. This section of the population is the target of the gaming industry which is the reason why an expansion is expected to happen sh...
15 May 2025 - 24 May 2025- CUET UG Exam in online mode (Tentative) What is BCA Full Form? The full form of BCA is Bachelor of Computer Applications. BCA is a three-year undergraduate degree programme in the field of computer applications. Candidates can apply for careers such as Software...
The proposed architecture is very simple due to the existence of only two classes and a small database (details described in Section 2.5). We used an Adam optimizer [40] during DDNN training and cross-entropy as loss function [41]. The drop layer output is used for the regularization ...