Centre for Industrial Mathematics Courses

Course Name Event dates Fees Fees - Industrial Candidates

Internship offered by Bhaskaracharya Pratishthana jointly with companies

WORK from HOME MODE Internship: A group of students typically 3 to 10 shall work on a mutually decided assignment. The problem definition as per the interest of industry shall be offered. Students would present the progress, once in a month. Evaluation of the work done shall be carried out during the last presentation ONLINE. If required by the concerned college or Department, a student group shall submit a short report on the work done/contribution during the internship. Finally a certificate shall be provided to students who successfully complete the internship.

To Be Announced
Shall be declared soon
500 NA

Signal and Image Processing Applications

Understanding and interpretation of topics in Signal and Image processing, Participants shall be able to write signal and image processing algorithms (MATLAB or SCIALB), Potential Industrial Applications,
Know opportunities for industry projects

To Be Announced
Shall be declared soon
6000

Cyber Security and Cryptography

Participants will be able to understand the fundamentals and applications for encryption and decryption with the secured domain framework and also those for cyber security.

To Be Announced
Tentative
6000

Statistics and Optimization Algorithms

Participants will be equipped with standard techniques in descriptive and inferential Statistics and will be able to use these techniques in decision making, Participants will be equipped with standard techniques for solving various Mathematical problems numerically, Participants will be familiar with linear and non linear Optimization techniques and applications

To Be Announced
Tentative
9000

Modeling and Differential Equations

Participants will be familiar with techniques and tools of solving first order ODE and Linear ODE of higher order and will be able to use them for the relevant applications in allied discipline, Participants will have good understanding of process of Mathematical Modeling, and are expected to be able to construct Mathematical models for some real world problems.

To Be Announced
Shall be declared soon
9000

Linear Algebra for Artificial Intelligence and Machine Learning

Participants shall understand and apply the concepts in Linear algebra like Matrices, Wavelets, Complex analysis
Applications of eigen values and eigen vectors, Applications of Singular Value Decomposition

To Be Announced
Shall be declared soon
6000

Machine Learning and Deep Learning

Participants will be able to write python programs
Understand statistics and inferences with applications
Machine learning and Deep Learning fundamentals and applications

To Be Announced
Shall be declared soon
12000 -