AcademicsPrograms OfferedMBACourse Outcomes

Course Outcomes

MCA I YEAR - I SEMESTER

COURSE CODE COURSE NAME COURSE OUTCOMES
PC 101 Discrete Mathematics
  1. For a given logic sentence express it in terms of predicates
  2. For a given a problem, derive the solution using deductive logic and prove the solution based on logical inference
  3. For a given a mathematical problem, classify its algebraic structure
  4. Evaluate Boolean functions and simplify expressions using the properties of Boolean algebra
  5. Develop the given problem as graph networks and solve with techniques of graph theory.
PC 102 Data Structures using C
  1. Implement linear and non-linear data structure operations using C
  2. Suggest appropriate linear / non-linear data structure for any given data set.
  3. Apply hashing concepts for a given problem
  4. Modify or suggest new data structure for an application
  5. Appropriately choose the sorting algorithm for an application
PC 103 Object Oriented Programming using Java
  1. Explain OOPs features and concepts
  2. Write basic Java programs
  3. Write I/O programs in Java
  4. Use various built-in Java classes and methods
  5. Create window based Java programs
PC 104 Computer Architecture
  1. Apply data representation methods
  2. Write logic diagrams for micro operations
  3. Write general register organization diagrams
  4. Analyze computer arithmetic algorithms
  5. Explain I/O organization
PC 105 Probability & Statistics
  1. Understanding of Linear Algebra will boost the ability to understand and apply various data science algorithms.
  2. Calculate probabilities by applying probability laws and theoretical results, knowledge of important discrete and continuous distributions, their inter relations with real time applications.
  3. Understanding the use of sample statistics to estimate unknown parameters.
  4. Become proficient in learning to interpret outcomes.
  5. Compute and interpret Correlation Analysis, regression lines and multiple regression analysis with applications.
PC 106 Managerial Economics and Accountancy
  1. Apply the fundamental concepts of managerial economics to evaluate business decisions Understand types of Demand and factors related to it.
  2. Identify different types of markets and determine price �output under perfect competition
  3. Determine working capital requirement and payback
  4. Analyze and interpret financial statements through ratios
LCC 151 Data Structures using C Lab
  1. Write basic and advanced programs in C
  2. Implement functions and recursive functions in C
  3. Implement data structures using C
  4. Choose appropriate sorting algorithm for an application and implement it in a modularized way
LCC 152 Java Programming Lab
  1. Be able to write simple java programs
  2. Be able to write multithreaded programs
  3. Be able to write I/O programs
  4. Be able to write serialization programs
  5. Be able to write URL class program
HSC 153 Soft Skills Lab
  1. Express conversational skills
  2. Specify reading strategies
  3. Perform time management
  4. Perform stress management
  5. Explore career planning

 

MCA I YEAR - II SEMESTER


COURSE CODE COURSE NAME COURSE OUTCOMES
PC 201 Operating Systems
  1. Explain operating systems and Unix OS, illustrate the workings of various OS components.
  2. Analyze the process, its states and process scheduling algorithms.
  3. Demonstrate paging, demand paging, page replacement and segmentation with illustrations.
  4. Elaborate the file access and allocation methods and mass storage structures
  5. Describe concrete implementations of Linux system and Windows 7
PC 202 Database Management System
  1. Explain the DB concepts and model requirements as ER-model
  2. Suggest relational algebra queries from text specification
  3. Write SQL queries for the given questions
  4. Elaborate indexing and hashing and describe concurrency control concepts
  5. Comprehend NoSQL technology
PC 203 Design and Analysis of Algorithms
  1. Carry out algorithms time complexity
  2. Explain divide and conquer approach
  3. Illustrate greedy method
  4. Elaborate dynamic programming
  5. Explore backtracking
PC 204 Data Engineering with Python
  1. Understand the basics of Python Programming Language
  2. Handle different types of files and work with text data
  3. Use regular expression operations
  4. Use relational databases via SQL
  5. Use tabular numeric data
  6. Use the data structures: data series and frames
  7. Use PyPlot for visualization
  8. Use Python for basic Machine Learning
PC 205 Machine Learning
  1. Solve regression problems
  2. Apply dimensionality reduction methods
  3. Analyze classification schemes
  4. Explore clustering mechanisms
  5. Explain evaluation metrics
MGC 206 Operations Research
  1. Solve linear problems
  2. Apply transportation problems
  3. Analyze assignment problems
  4. Explore dynamic programming
  5. Explain gaming theory
LCC 251 Operating Systems Lab
  1. Be able to execute shell commands and write shell scripts
  2. Be able to write programs on CPU scheduling
  3. Be able to create memory management algorithms
  4. Be able to execute programs to demonstrate synchronization problems
  5. Be able to implement file allocation methods and be able to create disk scheduling algorithms
LCC 252 Data Engg. With Python Lab
  1. Demonstrate various data types in python and develop programs using files, exception handling, functions, classes in Python.
  2. Examine the process for importing and exporting the data.
  3. Apply appropriate data collection and pre-processing methods.
  4. Identify different data analysis Techniques suitable for a given applications
  5. Demonstrate data visualization techniques for Data Analysis.
LCC 253 Database Management Systems Lab
  1. Write SQL queries
  2. Write stored procedures
  3. Write triggers
  4. Use file locking and table locking facilities
  5. Create small full-fledged database application
SIP 321 Summer Internship/ Mini Project
  1. Demonstrate the ability to integrate and apply theoretical knowledge and skills developed in various courses to real-world situations in a business organization
  2. Demonstrate the ability to integrate and apply theoretical knowledge and skills developed in various courses to real-world situations in a business organization
  3. Exhibit the ability to effectively work in a professional environment and demonstrate work ethic and commitment in a work-based environment
  4. Demonstrate the ability to successfully complete internship assignments.
  5. Reflect on personal and professional development needs and set strategic goals for advancing along an intended career path
  6. Communicate effectively in a professional environment in both English and regional language, orally and in writing.

 

MCA II YEAR - I SEMESTER


COURSE CODE COURSE NAME COURSE OUTCOMES
PC 301 Software Engineering
  1. Apply software processes to solve software problem
  2. Create SRS document and software architecture
  3. Perform software planning in terms of staffing and scheduling
  4. Create test cases and procedures
  5. Re-engineer the developed software
PC 302 Computer Networks
  1. Elaborate the network model
  2. Explain transmission media and functions of datalink layer
  3. Create routing tables based on DVR and LSR
  4. Describe TCP and UDP protocols
  5. Explain application layer protocols
PC 303 Artificial Intelligence
  1. Identify problems that are amenable to solution by AI method
  2. Understand and analyze working of an AI technique
  3. Formalize a given problem in the language/framework of different AI methods
PC 304 Web Technologies
  1. Write HTML and DHTML programs
  2. Create programs on event models
  3. Implement java script programs
  4. Write VB script programs
  5. Create ASP programs
PEC 311 Software Quality and Testing
  1. Explain the essentials of software quality
  2. Elaborate the methods to integrate software quality activities in the project
  3. Describe the software quality metrics
  4. Discuss building software testing strategy
  5. Perform testing various artifacts of a software project
PEC 312 Distributed Systems
  1. Explain the architecture, processes and communication of distributed system
  2. Elaborate the naming and synchronization strategies
  3. Describe the fault tolerance and distributed object based system
  4. Discuss the distributed file system and distributed web based system
  5. Explain distributed coordination based system and map reduce
PEC 313 Internet of Things
  1. Understand the various applications of IoT and other enabling technologies.
  2. Comprehend various protocols and communication technologies used in IoT
  3. Design simple IoT systems with requisite hardware and C programming software
  4. Understand the relevance of cloud computing and data analytics to IoT
  5. Comprehend the business model of IoT from developing a prototype to launching a product.
PEC 323 Image Processing
  1. Learn image processing fundamentals
  2. Learn image transforms
  3. Learn image enhancement
  4. Learn image restoration and feature extraction
  5. Learn image reconstruction
PEC 321 Network Security

1. Explain the fundamentals of network security
2. Elaborate the concepts secret and public key cryptography
3. Elucidate the hash functions digital signatures
4. Describe the digital signatures and smart cards
5. Explain the applications of network security

PEC 421 Cyber Security

1. Explain the policies and security evolution
2. Describe cyber security objectives and guidance
3. Discuss policy catalog and issues
4. Elaborate cyber management and infrastructure issues
5. Elucidate the case studies on cyber security

PEC 314 Information Retrieval System

1. Explain IR strategies
2. Elucidate basic retrieval utilities
3. Discuss cross language IR
4. Describe efficiency aspects
5. Elaborate distributed IR

PEC 324 Natural Language Processing

1. Explain elementary probability and information theory
2. Discuss the linguistic essentials
3. Describe statistical inference and word sense disambiguation
4. Elaborate evaluation measures and markov models
5. Elucidate probabilistic context free grammars

LCC 351 Computer Networks Lab

1. Execute basic commands of networks
2. Implement socket program implementation
3. Execute connection oriented socket programs
4. Implement connection less socket programs
5. Execute DNS implementation

LCC 352 Software Engineering Lab

1. Apply use case diagram
2. Apply class and object diagram
3. Apply sequence and collaboration diagrams
4. Apply state-chart and activity diagrams
5. Apply component and deployment diagrams

LCC 353 Web Technologies Lab
  1. Write HTML and DHTML programs
  2. Create programs on event models
  3. Implement java script programs
  4. Write VB script programs
  5. Create ASP programs
SIP 321 Summer Internship

1. Communicate a practical understanding of how a technology actually operates
2. Demonstrate the ability to integrate and apply theoretical knowledge and skills developed in various courses to real-world situations in a business organization
3. Exhibit the ability to effectively work in a professional environment and demonstrate work ethic and commitment in a work-based environment
4. Demonstrate the ability to successfully complete internship assignments.
5. Reflect on personal and professional development needs and set strategic goals for advancing along an intended career path 6. Communicate effectively in a professional environment in both English and regional language, orally and in writing.

 

MCA II YEAR - II SEMESTER


COURSE CODE COURSE NAME COURSE OUTCOMES
PC 411 Block Chain Technologies 1. Learn the basics of hash functions
2. Learn the importance of digital signature
3. Understand the structure of a blockchain.
4. Learn different ways of storing Bitcoin keys, security measures.
5. Learn how Bitcoin relies on mining. 
PC 412 Big Data Analytics 1. Learn how to handle big data
2. Learn hadoop ecosystem
3. Learn mapreduce and hbase fundamentals
4. Learn database concepts related to big data
5. Learn NoSQL fundamentals 
PEC 413 Cloud Computing 1. Elaborate the cloud computing services and resource virtualization
2. Explain the scaling, planning and file system and storage
3. Describe the database technology and security issues
4. Elucidate portability issues and programming model case study
5. Discuss the enterprise architecture and its related information
PEC 414 Deep Learning 1. Learn deep learning basics and optimization algorithms
2. Understand deep learning computation, CNNs and modersn CNNs
3. Study recurrent neural networks and its modern versions
4. Learn computer vision
5. Comprehend GANs
PE 624 CS Distributed Databases Systems 1. Get familiar with the currently available models, technologies for and approaches to building distributed database systems and services;
2. Have developed practical skills in the use of these models and approaches to be able to select and apply the appropriate methods for a particular case;
3. Be aware of the current research directions in the field and their possible outcomes;
4. Be able to carry out research on a relevant topic, identify primary references, analyze them, and come up with meaningful conclusions
5. Be able to apply learned skills to solving practical database related tasks
PEC 422 Digital Forensics 1. Know how to apply forensic analysis tools to recover important evidence for identifying computer crime.
2. To be well-trained as next-generation computer crime investigators.
3. Learn data acquisition
4. Learn processing crimes
5. Learn forensics tools
PEC 423 Optimization Techniques 1. Learn the optimization basics
2. Learn optimization using calculus
3. Learn dynamic programming and its applications
4. Learn integer programming
5. Learn advanced optimization techniques
PEC 424 Enterprise Architecture 1. Learn the fundamentals of EA
2. Study the business architecture
3. Understand the organizational structure of EA
4. Comprehend enterprise engineering
5. Gain insights into cloud computing opportunities for EA
OE 431 Professional Ethics 1. Explain the developments of legal profession in India
2. Describe the seven lamps of advocacy
3. Elaborate disciplinary proceedings
4. Elucidate the accountancy for lawyers
5. Discuss insights into safety and risk
OE 432 Constitution of India 1. Explain the basics of the constitution
2. Elucidate the structure of the union government
3. Elaborate the state government structure
4. Describe the local administration
5. Discuss the election commission
OE 433 Disaster Management 1. Acquainted with basic information on various types of disasters
2. Knowing the precautions and awareness regarding various disasters 3. Decide first action to be taken under various disasters
4. Familiarised with organisation in India which are dealing with disasters
5. Able to select IT tools to help in disaster management
OE 434 Organization Behaviour 1. Explain management process and functions
2. Discuss decision making and negotiations
3. Describe psychological contract
4. Elaborate models of organization behaviour
5. Elucidate the organization design
OE 435 Intellectual Property and Cyber Law 1. Explain the fundamentals of intellectual property
2. Elaborate the basics of international instruments of IPR
3. Describe the laws concerning copyright in India
4. Discuss the IP in trademarks
5. Explain the concept of patent
OE 436 Environmental Science 1. Explain the scope and importance of environmental studies
2. Elaborate the environment and natural resources
3. Describe the environmental pollution
4. Discuss the regional and sectoral issues concerning environment
5. Explain the social issues and the environment
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