Masters of Technology in Computer Science Engineering Syllabus
The M.Tech in Computer Science Engineering program provides advanced knowledge in areas such as algorithms, data structures, operating systems, and artificial intelligence. It includes core subjects along with electives like machine learning, cloud computing, and cryptography, allowing students to specialize in emerging fields.
Semester 1:
Subjects
Advanced Data Structures
Advanced Algorithms
Computer Organization & Architecture
Database Management Systems
Research Methodology
Programming in C++
Semester 2:
Subjects
Operating Systems
Discrete Mathematics
Design and Analysis of Algorithms
Computer Networks
Artificial Intelligence
Elective 1 (e.g., Cryptography, Cloud Computing)
Semester 3:
Subjects
Machine Learning
Software Engineering
Advanced Database Management Systems
Elective 2 (e.g., Natural Language Processing, Computer Vision)
Elective 3
Seminar
Semester 4:
Subjects
Project Work/Thesis
Elective 4
Internship (if applicable)
Electives Offered (Sample)
Elective
Description
Cloud Computing
Introduction to cloud infrastructure, services, and deployment models, including distributed computing.
Cryptography & Network Security
Focus on encryption algorithms, cryptographic protocols, security mechanisms in networks, and secure communications.
Natural Language Processing
Covers language models, syntactic parsing, machine translation, and speech recognition techniques.
Computer Vision
The study of techniques for enabling machines to interpret visual information, including image processing and object recognition.
Big Data Analytics
Techniques for handling large volumes of data, distributed computing, Hadoop, and data mining methods.
