B.Tech Computation & Mathematics

Overview

Our Computation & Mathematics program is designed to provide strong foundations in Mathematics, Computer Science and Scientific Computation.

The students will be trained in the skills necessary to solve advanced scientific problems arising in multiple multi-disciplinary domains such as Mathematical Economics, Computational Physics, Computational Biology, Modeling & Simulation, Cryptography, Computational Geometry, and Computational Linguistics, among many more domains. Through the curriculum, a student gets the opportunity to be exposed to a wide variety of mathematical concepts that are essential in solving a large number of complex scientific problems such as DNA sequence homology, Brain models, Anatomy visualization, Pharmacology, Particle physics, Vehicle crash simulation, Structural dynamics of buildings and so on, among many others. In essence, the program curriculum is designed to provide a perfect learning platform for students to enrich them with strong mathematical and analytical knowledge blended with core computing and engineering skills. We list some key features of the program herein:

The courses in the program are designed to be necessarily broad with considerable depth and enable the students to grasp the applied nature of the concepts. The students will be able to appreciate the natural elegance of the foundational mathematical principles.
The core computing science courses will empower the student with the necessary skill set necessary for computational thinking and systems engineering capabilities. There is significant emphasis on algorithmic problem-solving skills and large-scale data processing techniques on modern multi-core and multi-processor architectures.
The students will have the flexibility to choose elective courses from a broad spectrum of courses depending on their interest and passion.
Majority of the courses are enhanced with practical training through regular laboratory exercises, course projects, and real-world case studies.
The students will have the flexibility to do projects in other departments including all the engineering branches, physics, chemistry, management and humanities.

List of Subjects

Mathematics	Computer Science
Real Analysis	Theory of Computing
Functions of Several variables	Programming and Data Structures
Discrete Mathematics	Computer Organization
Abstract Algebra	Design and Analysis of Algorithms
Linear Algebra	Operating Systems
Numerical Methods	Graph Theory and Algorithms
Number Theory	Artificial Intelligence
Probability and Statistics	Computer Networks
Optimization Techniques	Data Base Management Systems
Graph Theory	Deep Learning
Complex Analysis	High Performance Computing
Financial Mathematics	Software Engineering
Ordinary & Partial Differential Equations	Cryptography and Information Security
Computational Methods for PDE

Credit Split up

Description	Total credits
Maths	56
Computer Science	52
Basic Sciences	17
HSS	7.5
Electives	9
Projects	18
Others	7.5
Total credits	167

B. Tech - Computation & Mathematics