Value Added Programmes and Certificate Courses

As a value addition to the existing programmes and to enhance the employability of students, the department encourages students to be part of Life Skill and Professional Skill Development Programmes along with other career related courses by reputed organizations. The prospectuses of all these programmes and certificate courses are designed in reference to the most recent trends in Science & Information Technology, for a reasonable cost, to make possible better career opportunities. The curriculum of these programmes and certificate courses are designed to meet the needs of students planning a career in the current arena of Science and Technology.

The value added programmes and certificate courses of the department are listed below:

1) Training for competitive exam, ‘COMPETE’- The program provides academic facilities and offers guidance to train students to appear in various competitive examinations. It includes tips & strategies to go through various company selections and other competitive examinations. The program has modules on logical reasoning and quantitative aptitude skills. Various modules deal with techniques and methods for problem solving in a quick and easy way.

2) Basic R- Software- R programming is used for statistical analysis for research purpose. The program offers the methods to analyze the data. The programming concepts help the learners to design the programs to transform, discover, model and establish communication among various data sets. The learners also get insight to statistic, visualization, and machine learning.

3) Demystifying Data Analytics: The Statistical Package for the Social Sciences (SPSS) add-on programme is created with the intention of preparing the students to be better researchers by giving them a comprehensive understanding of the most popular data analysis software programmes. The programme consists of theory lessons and practice sessions. The course is taught through practical sessions, which will allow the students comprehend the concepts properly and implement them independently.

4) Python: Students will learn how to program in Python and how to use the Python programming language in different aspects of Industries. The programming concepts covered will be focused on the variables, data structures, conditionals, and loops. This course allows the students to rapidly learn the basics of writing and executing Python code. In addition, students use commonly used data structures, custom functions, and file reading and writing activities in this course.