Short-term course on ‘Advanced Learning of MATLAB & SIMULINK’ concludes at GIMT-G

The 5-day-long short-term course was participated by a number of students from several engineering institutes of Assam


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A short-term course on ‘Advanced Learning of MATLAB & SIMULINK and their applications in Electrical Engineering’ conducted by the Assam Science & Technology University (ASTU) in association with the Electrical Engineering department of the Girijananda Chowdhury Institute of Management and Technology (GIMT), Guwahati, a leading engineering institute of Assam, at the GIMT-G campus, concluded on Friday.

The five-long course, started on March 19, 2018, was participated by a number of students from several engineering institutes of Assam.

The concluding function was attended by ASTU Registrar Dr Nripen Das.  While addressing the participating students, Dr Das encouraged the students and lauded the initiative of the GIMT. He also urged the University authorities to come forward to hold such courses in the future.

The course was held at the Department of Electrical Engineering, GIMT-Guwahati from 2 PM to 5 PM.

The short-term course was aimed to deliver a thorough and advanced learning of MATLAB & SIMULINK and their applications in engineering courses with special emphasis on Electrical Engineering field. This will help the participants to excel their concepts during practical and project works and also be benefited in future research and industrial career lives.

This course was meant only for undergraduate students of Electrical Engineering (EE) and Electrical & Electronics Engineering (EEE) departments of different technical colleges of Assam affiliated to ASTU and other universities. Certificates will be provided to the participants after successful completion of the course.”

MATLAB is a computer programming language developed by Mathworks for scientific computing. It was designed to facilitate numerical computation without having to make use of low-level programming languages such as C or Fortran. MATLAB’s syntax is relatively straightforward and may be easier to master than other high-level programming languages. It has many toolboxes that obviate the need to reinvent the wheel to solve nontrivial problems; this is very useful in a range of engineering and mathematical subjects that involve algorithms that have already been implemented.

MATLAB facilitates the representation of certain numerical problems – particularly those that involve linear algebra hence, many engineering problems that involve vectors, matrices, and tensors can be intuitively expressed with its syntax. MATLAB also provides additional functionality needed to solve problems in a wide range of disciplines such as control systems, computational biology, image and video processing, optimization, partial differential equations, signal processing, communications statistics and data analysis.

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