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KCA041: Blockchain Architecture

Course Outcome ( CO)                                                       Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand

CO1 Study and understand basic concepts of blockchain architecture. K1, K2
CO2 Analyze various requirements for consensus protocols. K4
CO3 Apply and evaluate the consensus process. K3, K5
CO4 Understand the concepts of Hyperledger fabric. K1

KCA035: Software Quality Engineering

Course Outcome ( CO)                                                        Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to:

CO 1 Understand basic concepts of Software Quality along with its documents and
process
K2
CO 2 Apply knowledge of Software Quality in various types of software K3
CO 3 Compare the various reliability models for different scenarios K4

KCA034: Data Analytics

Course Outcome ( CO) Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand
CO1 Describe the life cycle phases of Data Analytics through discovery, planning and
building.
K1, K2
CO2 Understand and apply Data Analysis Techniques. K2, K3
CO3 Implement various Data streams. K3
CO4 Understand item sets, Clustering, frame works & Visualizations. K2
CO5 Apply R tool for developing and evaluating real time applications. K3, K5, K6
DETAILED SYLLABUS 4-0-0

KCA033: Pattern Recognition

Course Outcome (CO)                                                           Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand

CO 1 Study of basics of Pattern recognition. Understand the designing principles and
Mathematical foundation used in pattern recognition.
K1, K2
CO 2 Analysis the Statistical Patten Recognition. K3, K4

KCA032: Soft Computing

Course Outcome (CO)                                                              Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand

CO 1 Recognize the need of soft computing and study basic concepts and techniques
of soft computing.
K1, K2
CO 2 Understand the basic concepts of artificial neural network to analyze widely
used neural networks.
K2, K4

KCA031: Privacy and Security in Online Social Media

Course Outcome (CO)                                 Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to:

CO 1 Understand working of online social networks K2
CO 2 Describe privacy policies of online social media K2
CO 3 Analyse countermeasures to control information sharing in Online social
networks.
K3
CO 4 Apply knowledge of identity management in Online social networks K3

KCA352: Software Engineering Lab

Course Outcome ( CO)                                                   Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand

CO 1 Identify ambiguities, inconsistencies and incompleteness from a requirements
specification and state functional and non-functional requirement.
 K2, K4
CO 2 Identify different actors and use cases from a given problem statement

KCA351: Artificial Intelligence Lab

Course Outcome ( CO)                                                             Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand

CO 1 Study and understand AI tools such as Python / MATLAB. K1,K2
CO 2 Apply AI tools to analyze and solve common AI problems. K3, K4
CO 3 Implement and compare various AI searching algorithms. K6

KCA025: Digital Image Processing

Course Outcome ( CO)                                                                Bloom’s Knowledge Level (KL)
At the end of course, the student will be able to understand

CO 1 Explain the basic concepts of two-dimensional signal acquisition, sampling,
quantization and color model.
K1, K2
CO 2 Apply image processing techniques for image enhancement in both the spatial