COURSE CODE: CS-609

COURSE OBJECTIVES:

  1. To study the basic technologies that forms the foundations of Big Data.
  2. To study the programming aspects of cloud computing with a view to rapid prototyping of complex applications.
  3. To understand the specialized aspects of big data including big data application, and big data analytics.
  4. To study different types Case studies on the current research and applications of the Hadoop and big data in industry

COURSE OUTCOMES (CO) :

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 MAPPING:

↓  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

Read All.. COURSE OUTCOMES

Department Information

H.O.D. Dr. Mohammadi Akheela Khanum
Email headcs@iul.ac.in
Contact(Ext. No.) 2106
Admissions Email admission@iul.ac.in
Admissions Call +91-9335177775

Contact Information

Department of Computer Science & Engineering,
1st Floor, Academic Block-I, Integral University, ,
Dasauli, Bas-ha Kursi Road,
Lucknow(U.P.) – 226026

0522- 2890730, 2890812
info@iul.ac.in