|
CO No. |
Expected Course Outcomes |
Learning Domains * |
PO No |
|
After the successful completion of the course the student should be able to: |
|||
|
1 |
Explain the basic concepts of Big Data and Cloud Computing. |
U |
PO 1, PO 2 |
|
2 |
Explain the concepts of Hadoop architecture and Distributed computing. |
An |
PO 2, PO 3 |
|
3 |
Analyze HDFS, MapReduce, YARN, and Hadoop ecosystem tools. |
An |
PO 1, PO 2, PO 9 |
|
4 |
Develop and run applications in MapReduce and YARN. |
C |
PO 5, PO 9, PO 10 |
|
6 |
Practice setting up a Hadoop cluster and its basic configuration. |
A |
PO 3, PO 5,PO 9, PO 10 |
- Teacher: arundhathy kc
|
CO No. |
Expected Course Outcomes |
Learning Domains * |
PO No |
|
Upon completion of this course, the students will be able to: |
|||
|
1 |
Discuss the concepts of Python programming |
U |
1,2,3,4,5,8, 10 |
|
2 |
Demonstrate the constructs and built-in data structures of Python |
A |
1,2,3,4,5,8,10 |
|
3 |
Illustrate basic Data visualization and File handling in Python. |
A |
1,2,3,4,5,8,10 |
|
4 |
Develop solutions to real world problems using Python. |
C |
1,2,3,4,5,8,10 |
|
|
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- Teacher: Gautham Krishna