Sr.No.Program Outcomes (POs) - A student will be able to
PO1: Adopt relevant methods and procedures for solving problems using computers.
PO2: Compare statistical information and use their intelligence and identify with a professional approach.
PO3: Use the relevant equipment, technology and software to collect, compare and assess scientific data.
PO4: Develop and demonstrate ideas in an innovative manner.
PO5: Design and deliver effective presentations and showcase their various IT skills.
PO6: Use research-based learning and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO7: Interpret the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the information of, and need for sustainable development.
PO8: Communicate effectively and professionally both in writing and by means of presentations to both specialist and a general audience.
Sr.No.Program Specific Outcomes (PSOs) - A student will be able to
PS01: Communicate computer science concepts, designs, and solutions effectively and professionally.
PS02: Apply knowledge of computing to produce effective designs and solutions for specific problems.
PS03: Use software development tools, software systems, and modern computing platforms.
FY MSc(CS) - SEM I Course Name: CSUT111: Paradigm of Programming Language
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Think about programming languages analytically.
CO2: Separate syntax from semantics.
CO3: Compare programming language designs.
CO4: Interpret their strengths and weaknesses.
CO5: Infer basic language implementation techniques.
CO6: Learn small programs in different programming Languages.
Course Name: CSUT112: Design and Analysis of Algorithms
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Analyze the performance of algorithms.
CO2: Choose appropriate algorithm design techniques for solving problems
CO3: Design algorithms using advance data structures and implement various techniques.
CO4: Understand how the choice of data structures and the algorithm design methods impact the performance of programs.
CO5: Understand how the choice of data structures and the algorithm design methods impact the performance of programs.
CO6: Analyze String matching algorithms.
Course Name: CSUT113: Database Technologies
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Provide an overview of the concept of NoSQL technology.
CO2: Provide an insight to the different types of NoSQL databases
CO3: Make a choice of what database technologies to use, based on their application needs.
CO4: Understand the concept of Aggregation and Schema Migrations.
CO5: Understand the concept of Polyglot Persistence.
CO6: Describe the use and implementation of Map-Reduce.
Course Name: CSDT114A : Cloud Computing
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Understand the principles and paradigm of Cloud Computing.
CO2: Appreciate the role of Virtualization Technologies.
CO3: Design and deploy Cloud Infrastructure
CO4: Understand cloud security issues and solutions.
CO5: Understand the Disaster Recovery in Clouds.
CO6: Manage the resources in Cloud.
Course Name: CSDP114A : Cloud Computing Practical
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Implement IaaS, PaaS, SaaS
CO2: Implement Storage as Service
CO3: Understand the working of Google Drive to make spreadsheets and notes.
CO4: Implement Cloud Security.
CO5: Implement Identity Management.
CO6: Implement Cloud Failure Cluster.
Course Name: CSUP115 : PPL and Database Technologies Practical
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Learn how to combine OOP and Functional Programming.
CO2: Understand the principles of functional programming.
CO3: Write purely functional programs.
CO4: Gain basic proficiency in Scala.
CO5: Get to grips with functional programming.
CO6: Learn how to install, create database in MongoDB , Neo4j and implementation of different in-built functions in MongoDB, Neo4j.
Course Name: CSUT121 : Advanced Operating System
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Learn how to combine OOP and functional programming.
CO2: Understand the principles of functional programming.
CO3: Write purely functional programs.
CO4: Gain basic proficiency in Scala.
CO5: Get to grips with functional programming.
CO6: Learn how to install, create database in MongoDB , Neo4j and implementation of different in-built functions in MongoDB, Neo4j.
Course Name: CSUT122 : Mobile Technologies
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Understand the working of wireless and mobile technologies.
CO2: Design and develop the android applications.
CO3: Design and develop phonegap applications.
CO4: Explain the concepts and components of ios.
CO5: Explore the various components of android applications
CO6: Use various APIs of android and phonegap.
SYMSc(CS) -SEM II Course Name: CSUT1213: Software Project Management
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Develop skills that are required to ensure successful medium and large-scale software projects.
CO2: Examine requirements elicitation, project management, verification and validation and management of large software engineering projects.
CO3: Perform software verification and validation using inspections, design and execution of the system.
CO4: Develop skills to ensure successful medium and large software engineering projects.
CO5: Design test cases to help find problems in the requirements or design of an application.
CO6: Apply project management techniques for projects to solve real problems.
Semester II - 2013 Pattern Course Name:CSDT124C :Soft Computing
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Explain the ideas of soft computational techniques based on human experience.
CO2: Design, analyze and perform experiments on real life problems using various Neural Learning Algorithms.
CO3: Conceptualize fuzzy logic and its implementation for various real world applications.
CO4: Apply the process of approximate reasoning using Neuro- Fuzzy Modelling.
CO5: Provide the mathematical background to carry out optimization using genetic algorithms.
CO6: Explain the students about Artificial Neural Networks and various categories of ANN.
Course Name: CSDP124C :Soft Computing Practical
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Apply fuzzy logic and reasoning to handle different properties and algorithms of Fuzzy Logic.
CO2: Apply neural networks Activation Functions, Perceptron Learning Algorithm and Hebb’s Rule.
CO3: Implementation of neural networks for Feed Forward and Back propagation.
CO4: Construct Neural Network for solving linearly separable problem using Perceptron Model.
CO5: Implementation of Neural Network to develop supervised learning algorithms.
CO6: Apply genetic algorithm to study and analyze genetic life cycle.
Course Name: CSUP125 : Practical on Advanced OS & Mobile Technologies
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Understand the components of android applications.
CO2: Design and develop the android applications.
CO3: Design and develop the phonegap and IOS applications.
CO4: Implement UNIX/Linux Commands.
CO5: Demonstrate the use of various system calls.
CO6: Implement and catch the signals.
SY MSc(CS) - SEM III Course Name: CSUT 231 Software Architecture and Design Patterns
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Recognize major Software Architectural styles, Designs and Frameworks to create reusable and flexible software applications and systems.
CO2: Recognize the characteristics of patterns that make it useful to solve real-world problems.
CO3: Apply Software Architectural styles, Design Pattern and Frameworks to create reusable and flexible software applications and systems.
CO4: Perform software verification and validation using inspections, design and execution of system.
CO5: Perform case study to take a framework and find patterns in the frames.
CO6: Design java applications using design pattern techniques.
Course Name: CSUT232 Machine Learning
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Recognize the characteristics of machine learning that make it useful to real-world problems.
CO2: Process available data using python libraries and predict outcomes using machine learning algorithms to solve given problems.
CO3: Estimate machine learning models efficiency using suitable metrics.
CO4: Explore the various algorithms of machine learning.
CO5: Design application using machine learning techniques.
CO6: Understand the role of machine learning engineer
Course Name: CSUT233 Web Frameworks
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Learn advanced technology which is used widely in Industry as a part of full stack developer.
CO2: Ppowerful way to develop the web application in Python.
CO3: Understand asynchronous programming using NodeJS.
CO4: Build and deploy a robust Django Web App.
CO5: Integrate with Restful web services using ExpressJS Framework.
CO6: Build and HTTP server using the core modules in NODEJS.
CO7: Interface to a MongoDB database and a web service.
Course Name: CS CSDT234A - Big Data Analytics
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Recognize the characteristics, applications of big data.
CO2: Discuss the emerging database landscape.
CO3: Differentiate various applications architecture for Big data analysis.
CO4: Understand components of Hadoop Ecosystem.
CO5: Understand how to perform real time analytics.
CO6: Study Big Data Analytics Methodology.
Course Name: CS CSDT234B - Big Data Analytics Practical
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Recognize the characteristics, applications of big data that make it useful to real-world problems.
CO2: Process available data using big data tools hadoop file system and predict outcomes to solve given problems.
CO3: Study various case studies using big data tools/commands and analyse it.
CO4: Design various case studies using big data tools/commands.
CO5: Create a single node cluster Hadoop configuration.
CO6: Study and design various case studies using big data tools/commands and analyse it.
Course Name: CSUP235 : Practical on CSUT231, CSUT232 and CSUT233
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Use libraries like Numpy, Pandas and Scikit Learn efficiently for machine learning.
CO2: Visualise the data using libraries like Matplotlib and Seaborn.
CO3: Apply suitable algorithm and metrics to evaluate the machine learning model.
CO4: Use specific frameworks as per applications need.
CO5: Design java applications using design pattern techniques.
CO6: Recognize the characteristics of patterns for a given problem.
SEM IV Course Name: CSUIT241: Industrial Training /Institutional project
Sr.No.Course Outcomes (COs) - A student will be able to
CO1: Understand different software engineering concepts particularly software development life cycle i.e planning, analyzing , designing ,implementation and testing of a software project and work accordingly.
CO2: Understand different programming language concepts in depth, particularly Java, Net, Machine Learning, Deep Learning etc.
CO3: Work as a team and learn to co-ordinate and communicate effectively with team members and get the work done.
CO4: Learn to focus on getting a working project done on time so that it will be delivered to customer without delay.
CO5: Understand different software tools and techniques to implement project which are used in IT industry.
CO6: Learn to have hand on training to work on actual environment to implement software project.