(National Education Policy (2020 Scheme) 
Academic Year 2020 and onwards

PO1: Prepare students to apply knowledge of computer science, mathematics, and management in practice.

PO2: Enhance programming skills of young IT professionals. PO3: Enable to become software and hardware entrepreneur.

PO4: Acquiring knowledge on basics of Computer Science and ability to apply to design principles in the development of solutions for problems of varying complexity.

PO5: Exhibiting strong skills required to program a computer for various issues and problems of day-to-day applications with thorough knowledge on programming languages of various levels.

PO6: Must have a reasonably good communication knowledge   both in oral and writing.


(National Education Policy (2020 Scheme) 
Academic Year 2020 and onwards

PEO1: Provide students with a strong foundation in computer science and its applications.

PEO2: Equip students with analytical and problem-solving skills required to design, develop, and maintain computer software and systems. 

PEO3: To foster practical skills by providing laboratory work, projects, and internships, allowing students to apply their theoretical knowledge to practical situations, use various software and hardware tools, and gain hands-on experience. 

PEO4: Develop students’ creativity and innovation by exposing them to emerging technologies and cutting-edge research in the field of computer science. 

PEO5: Foster teamwork and communication skills among students by encouraging them to work on group projects and presentations. 

PEO6: Develop students’ managerial and leadership skills by providing them with a basic understanding of business and management principles and practices. 

PEO7: Prepare students for a successful career in the rapidly growing IT industry by providing them with hands-on experience through projects, internships, and industry collaborations. 

PEO8: Encourage students to pursue further studies in computer science or related fields. 

PEO9: Nurture students’ ethical and social responsibility by promoting values such as honesty, integrity, respect, and environmental awareness.


(National Education Policy (2020 Scheme) 
Academic Year 2020 and onwards
                                                                          I SEMESTER BCA
                               SUBJECT PROBLEM SOLVING TECHNIQUES USING C CO 1: Write efficient algorithms to solve various problems. CO 2: Understand and use various constructs of the programming language such as conditionals, iteration, and recursion. CO 3: Implement your algorithms to build programs in the C programming language. CO 4: Use data structures like arrays, linked lists, and stacks to solve various problems. CO 5: Understand and use file handling in the C programming language.
                       SUBJECT DATA STRUCTURES USING C   CO1: Understand the concept of Dynamic memory management, data types, algorithms, Big O notation. CO2: Understand basic data structures such as arrays, linked lists, stacks and queues. CO3: Describe the hash function and concepts of collision and its resolution methods CO4: Solve problem involving graphs, trees and heaps CO5: Apply Algorithm for solving problems like sorting, searching, insertion and deletion of data
                    SUBJECT  DISCRETE MATHEMATICS C01: Perform operations on various discrete structures such as sets, functions, relations, and sequences. C02: Understand and apply propositional logics and predicates CO3:Ability to solve problems using Counting techniques, Permutation and Combination, Recursion and generating functions. C04: Perform operations on matrix and understand applications of matrix to solve linear equations C05: Apply graphs and trees as tools to visualize and simplify Problems.
                      SUBJECT C PROGRAMMING (PST) LAB CO1: Understand the usage of primitive and user defined data types and use them. CO2: Understand the working of basic C constructs like loops and switch. CO3: Ability to use single and multi-dimensional datatypes CO4: Demonstrate the usage of strings and their functions CO5: Build structure and union datatypes for real world applications.
                SUBJECT DATA STRUCTURES LAB CO 1: Understand the concept of data structures and apply algorithm for solving problems like Sorting, searching, insertion and deletion of data. CO 2: Understand and implement linear data structures and their applications for processing of ordered or unordered data. CO 3: Explore various operations on dynamic data structures like single linked list, circular linked list and doubly linked list. CO 4: Explore the concept of nonlinear data structures such as binary search trees and heap trees CO 5: Demonstrate operations on strings without using library functions
                                                                        II SEMESTER BCA





CO 1: Describe the procedural and object-oriented paradigm with concepts of streams, classes, functions, data, and objects.

CO 2: Understand dynamic memory management techniques using pointers, constructors and destructors.

CO 3: Describe the concept of function overloading, operator overloading, virtual functions, and polymorphism.

CO 4: Classify inheritance with the understanding of early and late binding, usage of exception handling, generic programming.

CO 5: Demonstrate the use of various OOPs concepts with

the help of programs






CO1: Describe DBMS architecture, physical and logical database designs, database modelling, relational, hierarchical and network models.

CO2: Identify basic database storage structures and access techniques such as file organizations, indexing methods including B‚Äźtree, and hashing.

CO3: Learn and apply Structured query language (SQL) for database definition and database manipulation.

CO4: Demonstrate an understanding of normalization theory and apply such knowledge to the normalization of a database.

CO5: Understand various transaction processing, concurrency control mechanisms and database

protection mechanisms.






CO1: Explain the organization of basic computer, its design and the design of control unit.

CO2: Demonstrate the working of central processing unit and RISC and CISC Architecture.

CO3: Describe the operations and language f the register transfer, micro-operations, and input- output organization.

CO4: Understand the organization of memory and memory management hardware.

CO5: Elaborate advanced concepts of computer architecture, Parallel Processing, inter-processor communication and synchronization.




CO1: Ability to write java programs for real world problems.

CO2: Develop web applications and standalone applications.

CO3: Demonstrate usage of constructors.

CO4: Ability to write applet programs and implement graphical user interface.

CO5: Implement threads, mouse and keyboard events.






CO1: Ability to convert ER diagrams to relational tables.

CO2: Identify normalization conditions and build normalized relational tables.

CO3: Perform various operations on a relational database such as Creating Tables (With and Without Constraints), Inserting/Updating/Deleting.

CO4: Ability to write and execute queries for given scenarios on a given relational database.

CO5: Demonstrate the knowledge of primary keys and foreign keys and their usages.

                                                                      III SEMESTER BCA




CO 1: Learning the evolution, importance, concepts and structure of an operating system

CO 2: Analyzing scheduling algorithms, understanding need for process synchronization and methods of handling deadlocks

CO 3: Understanding efficient resource allocation

w.r.t primary memory

CO 4: Understanding file management concepts and evaluating disk scheduling algorithms

CO 5: Getting familiarized with protection and security mechanisms

CO 6: Explain the various features of distributed OS like Unix, Linux, windows etc.




CO1: Understand computer network basics, network architecture, TCP/IP and OSI reference models.

CO2: Identify and understand various techniques and modes of transmission.

CO3: Describe data link protocols, multi-channel access protocols.

CO4: Describe routing and congestion in network layer with routing algorithms and classify IPV4 addressing scheme.

CO5: Discuss the elements and protocols of transport layer.

CO6: Understand network security and define various

application layer protocols such as FTP, HTTP, Telnet, DNS.




CO 1: Interpret the fundamental Python syntax and semantics and be fluent in the use of Python control flow statements

CO 2: Express proficiency in the handling of strings and functions

CO 3: Determine the methods to create and manipulate Python programs by utilizing the data structures like lists, dictionaries, tuples and sets.

CO 4: Identify the commonly used operations involving file systems and regular expressions.

CO 5: Articulate the Object-Oriented Programming concepts such as encapsulation, inheritance

and polymorphism as used in Python.





CO1: understand and use commands on CLI for network troubleshooting and traffic monitoring.

CO2: Study and understand real usages of different kinds of network components like cables, switches, routers and bridges.

CO3: Understand and configure IP addresses to network devices and design a LAN.

CO4: Ability to build hardware components like patch cords for LAN.

CO5: Understand and implement resource sharing in LAN such as hotspot configurations, sharing a printer and files.

CO6: Understand and configure windows security system like firewalls for blocking unwanted traffic.

CO7: Ability to use LAN design and simulation tool like

Cisco Packet Tracer for configuring VLANs and VPNs





CO1: Ability to program using Object Oriented concepts in python programming language.

CO2: Ability to work with different types of files. CO3: Ability to work with APIs and data visualization.

                                                                     IV SEMESTER BCA
  SOFTWARE ENGINEERING CO1   Understanding the definition of software engineering and ethics of software engineers. CO2   Ability to analyze the problem based on software engineer’s perspective, gathering the requirements to write SRS. CO3   Implementing to produce architectural design and detail design of the software based on requirements and generate programming code. CO4   To implement validation and verification process through software prototype developed and cost estimation. CO5   Implementing the formal models to specify the behavior of systems and to experience the design of a system, also will be proficient in the basic techniques and tools for carrying out formal verification of software systems
  INTERNET TECHNOLOGY CO1: Comprehensive knowledge of Internet and its working CO2: Ability to use services offered by internet. CO3: Skills to develop websites using HTML and DHTML. CO4: Clear understanding of Web application frameworks CO5 Learn the research trends on web.
  DESIGN AND ANALYSIS OF ALGORITHMS CO 1: Analyze the computational complexity of different algorithms. CO 2: Develop the solution for given problems using divide and conquer and decrease and conquer methods. CO 3: Develop an algorithm using Greedy method and transform and conquer methods. CO 4: Develop the solution for given problems using Dynamic programming approach. CO 5: Develop the solution for given problems using Backtracking and Branch-and-Bound technique.
  DESIGN AND ANALYSIS OF ALGORITHMS LAB CO1: Analyse the computational complexity of different algorithms. CO2: Develop the solution for given problems using divide and conquer and decrease and conquer methods. CO3: Develop an algorithm using Greedy method and transform and conquer methods. CO4: Develop the solution for given problems using Dynamic programming approach. CO5: Develop the solution for given problems using Backtracking and Branch-and-Bound technique.
  INTERNET TECHNOLOGIES LAB CO1: Analyze a web page and identify its elements and attributes. CO2: Create web pages using XHTML and Cascading Style Sheets CO3: Build dynamic web pages using JavaScript (Client side programming). CO4: Create XML documents and Schemas.
                                                                     V SEMESTER BCA



CO 1.  Understand the various characteristics of problem solving agents and apply problem solving through search for AI applications.

CO 2.  Appreciate the concepts of knowledge representation using Propositional logic and Predicate calculus and apply them for inference/reasoning.

CO 3.  Obtain  insights  about  Planning  and  handling  uncertainty  through  probabilistic reasoning and fuzzy systems.

CO 4.  Understand  basics  of  computer  vision  and  Natural  Language  Processing  and understand their relevance in AI applications.

CO 5.  Obtain insights about machine learning, neural networks, deep learning networks and their significance..



CO 1: Analyze and interpret large datasets to extract meaningful insights.

CO 2: Apply statistical methods and data visualization techniques for effective data communication.

CO 3: Develop proficiency in using data analytics tools and software.

CO 4: Utilize predictive modeling and machine learning algorithms for data-driven decision-making.

CO 5: Ethically handle and manage data to ensure privacy and security in analytics processes.



CO1: Understand the basics of Web Programming concepts

CO2: To  build  dynamic  web pages with validation using  JavaScript  objects and  by applying different event-handling mechanisms.

CO3: Analyze various PHP library functions that manipulate files and directories.

CO4: To develop modern interactive web applications using PHP and XML



CO 1: Identify the scope and necessity of Data Mining & Warehousing for the society. 

CO 2: Describe the designing of Data Warehousing so that it can be able to solve the root problems.

CO 3: To understand various tools of Data Mining and their techniques to solve the real time problems.

CO 4: To develop ability to design various algorithms based on data mining tools.

CO 5: To develop further interest in research and design of new Data Mining techniques.



CO1: Understand and implement the basics of data structures like Linked list, stack, queue, set and map in Java.

CO2: Demonstrate the knowledge of big data analytics and implement different file management task in Hadoop. 

CO3: Understand Map Reduce Paradigm and develop data applications using variety of systems.

CO4: Analyze and interpret data using an ethically responsible approach.



CO1: Analyze a web page and identify its elements and attributes. ·

CO2: Create web pages using XHTML and Cascading Style Sheets.

CO3: Build dynamic web pages using JavaScript (Client side programming).

CO4: Create XML documents and Schemas.

CO5: To learn HTML tags and JavaScript Language programming concepts and techniques. 

CO6: To develop the ability to logically plan and develop web pages. 

CO7: To learn to write, test, and debug web pages using HTML and JavaScript.

                                                                     VI SEMESTER BCA

Machine Learning


CO1. Learn the basics of machine learning, understanding its uses, challenges, and  various applications. 

CO2. Build practical data skills, covering data collection, analysis, visualization, and preparation. 

CO3. Become skilled in using classification and regression algorithms, including selecting, training, and evaluating models. 

CO4. Dive into advanced clustering and specialized applications, using methods like KMeans, DBSCAN, and others.

Mobile Application Development


CO1: Understand the basic concepts of Mobile application development 

CO2: Design and develop user interfaces for the Android platforms 

CO3: Apply Java programming

Electronic Content Design


CO1:To deliver the content via various media such as radio, television, computer etc. 

CO2:To increase students’ concentration on particular subject matter in depth learning 

CO3:To feel emotionally good with joyful learning and active learning involvement of students during the content delivery 

CO4:To reuse many time the content to various group of same class without hesitate and unchanging. 

CO5:To handle easy to the facilitators during the content delivery. 

CO6:To modify the content with present time needs.



CO1: Differentiate the various testing techniques. 

CO2: Derive Test Cases for any given problem. 

CO3: Classify the problem into suitable testing models.

CO4: Apply a wide variety of testing techniques in an effective and efficient manner. 

CO5: Explain the need for planning and monitoring a process

Machine Learning Lab


CO1. Achieve proficiency in setting up Python, installing vital libraries, and configuring essential tools. 

CO2. Demonstrate competence in data manipulation, dataset loading, and the creation of insightful visualizations. 

CO3. Exhibit the ability to preprocess data, address missing values, perform categorical encoding, and implement fundamental machine learning algorithms. 

CO4. Develop an understanding of clustering techniques, create cluster visualizations, and interpret decision tree splits.

Mobile Application Development Lab


CO1: Understand the basic concepts of Mobile application development. 

CO2: Design and develop user interfaces for the Android platforms 

CO3: Apply Java programming.

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