Computational Applied Mathematics is broadly composed of the use of mathematics to enable and enhance computerized computation of applied mathematics. Computational mathematics can also refer to the use of computers for mathematics itself. 

This includes using computers for mathematical calculations (computer algebra), what can (and cannot) be computerized in mathematics (effective methods), calculations that can be performed with current technology (complexity theory), computers, and study of possible proofs (Evidence Assistant).

The courses in Mathematics and Computational Science include Computer Science, Mathematics, Applied Mathematics, Statistics, and Information Technology. 

Instructors and students in this program will discover new knowledge that can be used to solve math, science, engineering, and technical challenges. This interdisciplinary approach prepares professionals for careers in the fields of science, medicine, engineering and education. By setting common goals for research and education, the faculty addresses important topics for science and society. 

The IT department prepares specialists for economic and scientific careers in the development and design of hardware and software systems. Students can also join few discrete math online course to understand algorithms, programming languages, operating systems, databases, networks, distributed computing, and theory of computation to create systems. 

The Faculty of Mathematics provides a foundation of knowledge in mathematics and statistics for students pursuing careers in the fields of mathematics, science and technology. The program includes a wide range of courses in pure mathematics and applied mathematics. Teachers develop and support numerous outreach programs to educate students, parents and teachers. 

Overview 

The Computing + Mathematical Sciences (CMS) department has talented students and researchers who share a passion for science and engineering and a desire to study the most difficult and fundamental problems of computation and information.

The purpose of the Computation & Mathematics program is to develop engineers with a solid foundation in computer science, mathematics, and scientific computing. 

Given the lack of professionals with cutting-edge mathematical techniques emerging in the fields of data science, data analysis, optimization, deep learning, AI and ML, this program closes this gap.

In addition, the program aims to prepare ideas for smooth adaptation and transition to new technologies in the future, based on the basics of mathematics. 

Students have advanced science in interdisciplinary fields such as mathematical finance, computational biology, computational topology, quantum computing, encryption, data structures, graph algorithms, algorithm design and analysis, theory of computation, and computers. 

Get the skills you need to solve your problems. Networking, operating systems, database management systems and many other areas. Plus, the program offers many specialized courses that span multiple electives.

In addition to acquiring advanced skills, students will be introduced to basic science and engineering concepts, design thinking, business, economics and entrepreneurship. Also the emphasis is on developing effective communication, personality and soft skills. 

Graduates of this program will be able to solve real-life problems faced by industries that require a mathematical approach to solve problems in combination with sophisticated computing technology. This is the reason why experts at TangoLearn suggest you join various mathematics and computation courses.

Get ready to pursue an interdisciplinary research career that includes scientific computing, data analysis, and mathematical modeling. Graduates demonstrate entrepreneurship and interpersonal skills, as well as technical knowledge for effective communication, innovation, and implementation of new ideas. 

Degree structure: 

The curriculum is designed to provide students with a solid theoretical background and hands-on training in computer science, numerical computation, and financial mathematics.

As a result, the program, led by a team of dedicated faculty members as instructors, creates a group of students with diverse skills in mathematics, computer science, and financial engineering.

The core courses covered in the course include an introduction to computing. 

•  Basic Electronics Lab 
•  Matrix calculation 
•  Computer network 
•  Computer organization and  architecture 
•  Data structure 
•  Algorithms. 

This course first introduces you to the basics of mathematics and then slowly progresses. Pure Mathematics Course Consists of:

•  Mathematics I 
•  Mathematics II 
•  Discrete mathematics 
•  Real complex analysis 
•  Modern algebra.   
•  Database management system 
•  Operating system 
•  Digital logic design 
•  Computer organization and architecture 
•  Algorithm design and analysis 
•  Data structure 

Object-oriented programming is described in the Computer section. Other related subjects cover the field of:-

•  Discrete Mathematics 
•  Scientific calculations 
•  linear algebra 
•  Data mining 
•  Probability and statistics 
•  MATLAB 
•  Matrix calculation 
•  Mathematical modeling. 

Research possibility:

Courses are made to provide many research opportunities. There is no limit to mathematics. After studying the course, you can always mention even the fields of mathematics or computer science or other branch areas like the above. 

Specific Research Field: 

•  Heat and Mass Transfer 
•  Free border issues 
•  Bio transport process 
•  General theory of relativity and cosmology 
•  Ring and module theory 
•  Non-linear wave 
•  Pseudo-inspection operator 
•  Wavelet and distribution 
•  Non-linear mechanics 
•  Biomechanics 
•  Mathematical modeling 
•  Fractionation 
•  Nonlinear dynamics 
•  Destruction mechanics 
•  Theory of thermo elasticity 
•  Fuzzy Math 

Scope: 

This program is relatively new, but success has been clarified through internships and workplaces in the past three years. In consideration of the fact that the field is closely connected to the fast-growing software industry, the program has a bright future for itself.

With the fact that there is mathematical functional knowledge in addition to computer science, it will be more difficult to increase this industry next year.