Department Events
INTERNSHIP/ PROJECT
Course Outcomes (COs):
Course outcome (at course level) | Learning and teaching strategies | Assessment Strategies |
Students will be able to: CO16. Develop project in data analysis under the guidance of experienced professionals. CO17. Analysis market trend in Data Science industry. CO18. Assess interests and abilities in the field of Data Science. CO19. Build a record of work experience in Data Science industry. CO20.Identify, write down, and carry out performance objectives related to their job assignment. | Approach in teaching: Demonstrations, Professional approach on working on live projects, Group activities
Learning activities for the students: Effective assignments, giving tasks, assign mini projects in house.
| Assessment Strategies Individual and group projects project viva and presentations, live presentations. |
At the end, students will undergo training of 150 hrs on data analysis project either in-house or external. This will help them in understanding the existing working environment and acquire an in-depth technical knowledge of the domain. The students shall prepare a report on the work done. The student will be required to get the certificate from the concerned organization signed by the project guide, which has to be put in the report.
