B Tech Cse Syllabus Pdf Pdf Class Computer Programming Explore the comprehensive b.tech computer science syllabus for 2025, covering semester wise subjects such as programming languages, data structures, algorithms, database management systems, and emerging technologies like ai and machine learning. Course outcomes co1: apply algorithmic thinking to understand, define and solve problems. co2: design and implement algorithm(s) for a given problem. co3: apply the basic programming constructs for developing solutions and programs. co4: analyze an algorithm by tracing its computational states, identifying bugs and correcting them.
R18 B Tech 2 1 Cse Syllabus Pdf Logic Gate Class Computer The students are introduced to understand and efficiently apply various data structures such as stacks, queues, linked lists, trees and graphs for solving various computing problems using c programming language. Check updated btech cse syllabus & subjects along with the weightage. download the latest curriculum pdfs for top btech in computer science engineering colleges in india. Explore the b.tech computer science syllabus for 2025, featuring semester wise subjects, programming languages, and core topics. Syllabus 2020 21 (1st, 2nd,3rd, 4th, 5th, 6th, 7th & 8th semester) detailed syllabus for b.tech. cse b.tech. –cse (first semester).
B Tech Cse 2021 V2 Pdf Group Mathematics Computing Explore the b.tech computer science syllabus for 2025, featuring semester wise subjects, programming languages, and core topics. Syllabus 2020 21 (1st, 2nd,3rd, 4th, 5th, 6th, 7th & 8th semester) detailed syllabus for b.tech. cse b.tech. –cse (first semester). B tech computer science syllabus niit university (nu) aims to provide exceptional education, based on its four core principles, in an effort to shape multi faceted careers and ignite ingenuity among young minds. nu’s industry linked b tech cse programme prepares students for the industry and makes them job ready. Basic terminologies: elementary data organizations, data structure operations: insertion, deletion, traversal etc.; analysis of an algorithm, asymptotic notations, time space trade off. searching: linear search and binary search techniques and their complexity analysis. At the end of the course, students will be able to: 1 understand various fields of computer science and engineering, computer science and engineering (data science), computer science and engineering (artificial intelligence). History of computer, generation of computer, classification of computers, basic structure of computer system, primary & secondary memory, processing unit, input & output devices.
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