Students must note that some of the short-term and free online courses for computer science and engineering can also be done for credit transfer.
Students can easily access free online courses for computer science and engineering available on the SWAYAM platform. Initiated by the Government of India, SWAYAM, is designed to achieve the three cardinal principles of Education Policy: access, equity, and quality. Depending on the requirement, preference and qualification, students and professionals can take up these. Students and working professionals are continuously looking forward to upgrading their knowledge and skills. Courses offered at SWAYAM are focused on the most emerging branches in engineering studies and more. Free online courses available at SWAYAM are both or short-term as well as long duration.
UGC has already issued the guidelines advising the Universities to identify courses where credits can be transferred. Students must note that some of the short-term and free online courses for computer science and engineering can also be done for credit transfer.
FREE online courses for computer science and engineering at SWAYAM
Some of free online courses available for computer science and engineering on the SWAYAM platform are listed below:
- C Programming and Assembly Language by Professor Janakiraman from IIT Madras.
- Big Data Computing by Prof. Rajiv Misra from IIT Patna.
- Introduction to Machine Learning by Prof. Sudeshna Sarkar from IIT Kharagpur.
- Demystifying Networking by Professor Sridhar Iyer, IIT Bombay.
- Introduction to Quantum Computing: Quantum Algorithms and Qiskit by Professor Prabha Mandayam from IIT Madras, Professor Anupama Ray from IBM Research and Professor Sheshashayee Raghunathan from IBM Systems.
- Python for Data Science by Professor Ragunathan Rengasamy from IIT Madras.
Applicants can access the complete list of free online courses for computer science and engineering from the SWAYAM website. This effort aims to take the best teaching-learning resources to all, including the most disadvantaged.
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