After completion of the course, a student will be able to
| COURSE OUTCOME (CO) | DESCRIPTION |
|---|---|
| CO1 | Student must be Able to understand the building blocks of Big Data |
| CO2 | Student must be able to articulate the programming aspects of cloud computing(map Reduce etc) |
| CO3 | Student must be able to understand the specialized aspects of big data with the help of different big data applications |
| CO4 | Student must be able to represent the analytical aspects of Big Data |
| CO5 | Student must be know the recent research trends related to Hadoop File System, MapReduce and Google File System etc |
| ↓ CO\PO → | PO1: Ability to apply knowledge of science, computing and mathematics to deal with | PO2: Ability to analyze the computer engineering problems, formulate them in order to | PO3: Ability to develop and design solutions based on analysis to solve engineering | PO4: Ability to handle complex and interdisciplinary engineering problems by using their research methodology. | PO5: Ability to apply state of the art tools and techniques in order to achieve economic solutions to the problems. | PO6: Ability of being aware about the existing social problems and keen to find their solutions by using their computer engineering skills. | PO7: Ability to provide environment friendly and sustainable solutions. | PO8: Ability to understand their professional and ethical responsibility. | PO9: Ability to work as an individual as well as in teams. | PO10: Ability to communicate with the stake holders by applying their soft skills. | PO11: Ability to manage the day to day challenges by optimizing the project resources. | PO12: Ability to engage and encourage themselves in continuous learning process in order to cope up with the rapidly growing tools and technology. | |
| CO1: Student must be Able to understand the building blocks of Big Data | 1 | 2 | 3 | 1 | 3 | 2 | 1 | ||||||
| CO2: Student must be able to articulate the programming aspects of cloud computing(map Reduce etc) | 2 | 3 | 3 | 2 | 3 | 1 | 1 | ||||||
| CO3: Student must be able to understand the specialized aspects of big data with the help of different big data applications | 1 | 3 | 2 | 1 | 2 | 3 | |||||||
| CO4: Student must be able to represent the analytical aspects of Big Data | 1 | 2 | 3 | 3 | 2 | 1 | |||||||
| CO5: Student must be know the recent research trends related to Hadoop File System, MapReduce and Google File System etc | 1 | 2 | 3 | 1 | 2 | 3 | |||||||
| 3: Strong Association, 2: Average Association, 1: Low Association | |||||||||||||
| H.O.D. | Dr. Shish Ahmad |
| headcs@iul.ac.in | |
| Contact(Ext. No.) | 2106 |
| Admissions Email | admission@iul.ac.in |
| Admissions Call | +91-9335177775 |
Department of Computer Science & Engineering,
1st Floor, Academic Block-B, Integral University, ,
Dasauli, Bas-ha Kursi Road,
Lucknow(U.P.) – 226026
