| Second Year (3rd SEM) | |||||||||||||||
| COs | Data Structure (ES-CS-AIML-203A) /Third Semester | BL | |||||||||||||
| CO1 | To introduce the basic concepts of Data structure, basic data types, searching and sorting based on array datatypes | 1 | |||||||||||||
| CO2 | To introduce the structured datatypes like Stacks and Queue and its basic operations’ implementation | 2 | |||||||||||||
| CO3 | To introduce dynamic implementation of linked list. | 2 | |||||||||||||
| CO4 | To introduce the concepts of Tree and graph and implementation of traversal algorithms.. | 2,4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | – | 3 | |
| CO2 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | – | 3 | |
| CO3 | 3 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | – | 3 | |
| CO4 | 3 | 2 | 2 | 3 | 2 | – | – | – | – | – | – | 2 | – | 3 | |
| AVG | 3 | 2.25 | 2 | 2.25 | 2 | 1.5 | 3 | ||||||||
| COs | Applied Statistical Analysis for AI (BS-CS-AIML-201A) /Third Semester | BL | |||||||||||||
| CO1 | To study the Statistical Analysis concepts with their relationships and process. | 2 | |||||||||||||
| CO2 | To familiarize with describing data, transforming, and summarizing. | 2 | |||||||||||||
| CO3 | To understand testing hypotheses with real-time applications. | 3 | |||||||||||||
| CO4 | To apply the examining relationships to find the correlation and regression. | 4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | – | – | – | – | – | – | – | – | – | – | – | |
| CO2 | 3 | 2 | 3 | – | – | – | – | – | – | – | – | – | – | – | |
| CO3 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | – | – | – | – | |
| CO4 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | – | – | |
| AVG | 3 | 2 | 2.5 | 2 | – | – | – | – | – | – | – | – | – | – | |
| COs | Object Oriented Programming (PC-CS-AIML-205A)/Third Semester | BL | |||||||||||||
| CO1 | To introduce the basic concepts of objectoriented programming language and its representation. | 2 | |||||||||||||
| CO2 | To allocate dynamic memory, access private members of a class, and the behavior of inheritance and its implementation. | 2 | |||||||||||||
| CO3 | To introduce polymorphism, interface design, and overloading of operators. | 3 | |||||||||||||
| CO4 | To handle backup systems using files, general-purpose templates, and handling of raised exceptions during programming. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| CO2 | 3 | 2 | 2 | 1 | – | – | – | – | – | – | – | – | – | – | |
| CO3 | 3 | 3 | 3 | 2 | – | – | – | – | – | – | – | – | 2 | 2 | |
| CO4 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | – | – | 2 | 2 | |
| AVG | 3 | 2.66 | 2.66 | 2 | 2 | 2 | |||||||||
| COs | Introductionto AI (PC-CS-AIML-207A)/Third Semester | BL | |||||||||||||
| CO1 | Demonstrate fundamental understanding of Artificial Intelligence (AI) and its foundation. | 2 | |||||||||||||
| CO2 | Demonstrate basic concepts of problem-solving, searching, inference, and perception. | 3 | |||||||||||||
| CO3 | Demonstrate proficiency in applying AI techniques in various domains. | 3 | |||||||||||||
| CO4 | Apply basic principles of AI in solutions that require real-world knowledge representation and learning. | 4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 3 | – | – | – | – | – | – | – | 2 | 2 | 3 | 2 | |
| CO2 | 1 | 3 | – | 1 | – | – | – | – | – | – | – | 1 | 3 | 2 | |
| CO3 | 1 | 2 | 1 | – | – | – | – | – | – | – | – | 1 | 3 | 3 | |
| CO4 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | 3 | |
| AVG | 1.75 | 2.25 | 2 | 1 | 2 | 1.75 | 3 | 2.5 | |||||||
| COs | Business Intelligence and Entrepreneurship (HM-902A)/Third Semester | BL | |||||||||||||
| CO1 | Students will be able to understand who the entrepreneurs are and what competences are needed to become an entrepreneur. | 2 | |||||||||||||
| CO2 | Students will be able to understand insights into management, opportunity search, identification of products, market feasibility studies, project finalization, etc., required for small business enterprises. | 2 | |||||||||||||
| CO3 | Students can be able to write a report and do an oral presentation on topics such as product identification, business ideas, export marketing, etc. | 4,3 | |||||||||||||
| CO4 | Students will be able to know the different financial and other assistance available for small industrial units. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 2 | 2 | – | – | 2 | – | – | – | – | – | – | – | – | |
| CO2 | – | 2 | 2 | – | – | 2 | – | – | – | – | – | – | – | – | |
| CO3 | – | 3 | 1 | 2 | – | 3 | – | – | 3 | 3 | – | – | – | ||
| CO4 | – | 2 | 2 | 2 | – | 2 | – | 2 | 2 | 2 | – | – | – | ||
| AVG | 2.25 | 1.75 | 2 | 2.25 | 2 | 2.5 | 2.5 | ||||||||
| COs | Data Structure Lab (PC-CS-AIML-213LA)/Third Semester | BL | |||||||||||||
| CO1 | Implement linear and nonlinear data structures using linked lists. | 3 | |||||||||||||
| CO2 | Apply various data structures such as stack, queue, and tree to solve problems. | 3 | |||||||||||||
| CO3 | Implement various searching and sorting techniques. | 3 | |||||||||||||
| CO4 | Choose appropriate data structures while designing applications | 5 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 3 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| AVG | 3 | 2.5 | 2.25 | 2 | 2.25 | – | – | – | – | 2 | 3 | 3 | |||
| COs | Python Lab(ES-CS-AIML217LA)/Third Semester | BL | |||||||||||||
| CO1 | To understand the basic concepts of programming in Python. | 1 | |||||||||||||
| CO2 | To implement data types, logical and mathematical operators. | 3 | |||||||||||||
| CO3 | To implement lists, tuples, dictionaries, arrays, and strings. | 4 | |||||||||||||
| CO4 | To understand and implement the fundamentals of functions and recursion. | 3,5 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | – | 2 | 3 | 2 | |
| CO2 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 2 | 2 | – | – | – | – | – | – | – | 2 | 3 | 2 | |
| AVG | 2.75 | 2.25 | 2.25 | 2 | – | – | – | – | – | – | – | 2 | 3 | 2.5 | |
| COs | Object Oriented Programming Lab(PC-CS-AIML-215LA)/Third Semester | BL | |||||||||||||
| CO1 | Implement object-oriented concepts such as objects, classes, abstraction, and message passing. | 3 | |||||||||||||
| CO2 | Implement the friend function and function overloading. | 3 | |||||||||||||
| CO3 | Implement operator overloading, inheritance, and method overriding. | 3 | |||||||||||||
| CO4 | Implement virtual functions to achieve runtime polymorphism. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 3 | 3 | 2 | – | – | – | – | – | – | – | 2 | 2 | |
| CO2 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | – | 3 | 2 | |
| CO3 | 3 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | 3 | 2 | |
| CO4 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | 3 | 2 | |
| AVG | 3 | 2.25 | 2.25 | 2.25 | 2 | – | – | – | – | – | – | 1 | 2.75 | 2 | |
| COs | Seminar SIM-201A* | BL | |||||||||||||
| CO1 | Review and comprehend the identified literature. | 4 | |||||||||||||
| CO2 | Prepare relevant presentations. | 6 | |||||||||||||
| CO3 | Deliver a presentation effectively. | 3 | |||||||||||||
| CO4 | Ask/Answer the questions appropriately. | 5 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 2 | – | – | – | – | – | – | 3 | – | 3 | – | – | |
| CO2 | 2 | 2 | 2 | – | – | – | – | – | – | 3 | – | 3 | – | – | |
| CO3 | 2 | – | 2 | – | – | – | – | – | – | 3 | – | – | – | – | |
| CO4 | 2 | 3 | 2 | – | – | – | – | – | – | – | – | – | – | – | |
| AVG | 2 | 2.33 | 2 | 3 | 3 | – | – | ||||||||
| Second Year (4TH SEM) | |||||||||||||||
| COs | BS-CS-AIML202M: Mathematics for Machine Learning/FOURTH Semester | BL | |||||||||||||
| CO1 | To understand the basic concepts of data science and machine learning concepts and their application in a modern context. | 4 | |||||||||||||
| CO2 | To apply the basic statistical concepts for solving various problems. | 2 | |||||||||||||
| CO3 | To distinguish between various probability distributions and apply the concepts for the solutions of real-world problems. | 4 | |||||||||||||
| CO4 | To learn the essential tools of matrices and linear algebra, including linear transformation, eigenvalues, diagonalization, orthogonalization, and factorization. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 3 | 1 | |
| CO2 | 2 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 2 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 3 | 2 | |
| AVG | 2.25 | 3 | 2.5 | 3 | 2.5 | 2 | 2.5 | 2.25 | |||||||
| COs | PC-CS-AIML204A: Intelligent Systems /FOURTH Semester | BL | |||||||||||||
| CO1 | Understand the basic terminologies in artificial intelligence to develop intelligent systems. | 6 | |||||||||||||
| CO2 | Apply the random search and heuristic search for intelligent systems. | 3 | |||||||||||||
| CO3 | Understand the abstractions and reasoning for intelligent systems. | 4 | |||||||||||||
| CO4 | Apply the rule-based methods in intelligent systems. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 1 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 2 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 1 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 1 | |
| CO4 | 1 | 2 | 3 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 2 | |
| AVG | 1.25 | 2.25 | 2.5 | 2.25 | 2.75 | 2 | 2.75 | 2.25 | |||||||
| COs | PC-CS-AIML208A: Internet and Web Technology | BL | |||||||||||||
| CO1 | Learn the basic concepts of information and web architecture. | 2 | |||||||||||||
| CO2 | Learn about the skills that will enable designing and building high-level web-enabled applications. | 2 | |||||||||||||
| CO3 | Understand the applicability of JavaScript as per current software industry standards. | 4 | |||||||||||||
| CO4 | Acquaint the latest programming language for the implementation of object-based and procedure-based applications using Python. | 3 | |||||||||||||
| Cos | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 3 | 1 | 1 | |
| CO2 | 2 | 3 | 3 | 2 | 3 | – | – | – | – | – | – | 3 | 3 | 2 | |
| CO3 | 2 | 2 | 2 | 1 | 3 | – | – | – | – | – | – | 3 | 1 | 1 | |
| CO4 | 2 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| AVG | 2 | 2.25 | 2.25 | 1.75 | 2.75 | 3 | 1.75 | 1.5 | |||||||
| COs | PC-CS-AIML210A:Operating System/FOURTH Semester | BL | |||||||||||||
| CO1 | To understand the structure and functions of an Operating System | 1 | |||||||||||||
| CO2 | To learn about threads and CPU scheduling algorithms | 2 | |||||||||||||
| CO3 | To understand the principle of concurrency and the concept of deadlocks | 2 | |||||||||||||
| CO4 | To understand various memory management schemes and to study I/O management and file systems | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 1 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 1 | |
| CO2 | 3 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | 3 | 3 | 1 | |
| CO3 | 2 | 3 | 2 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 2 | |
| CO4 | 2 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | 3 | 3 | 1 | |
| AVG | 2.25 | 2.75 | 1.75 | 2.5 | 2.5 | 3 | 3 | 1.25 | |||||||
| COs | PC-CS-AIML-206A:Database Management System/FOURTH Semester | BL | |||||||||||||
| CO1 | Illustrate the concept of Database Management System | 2 | |||||||||||||
| CO2 | Explain Entity Relationship Diagrams | 2 | |||||||||||||
| CO3 | Identify and apply the SQL, Relational Algebra, and Relational Calculus queries | 2 | |||||||||||||
| CO4 | Elaborate the concept of Concurrency control and Failure Recovery | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | – | – | – | – | – | – | – | – | – | – | 2 | 3 | – | |
| CO2 | 3 | 2 | 2 | 1 | – | – | – | – | – | – | – | 2 | 3 | – | |
| CO3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | – | 2 | 3 | 2 | |
| CO4 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | – | 2 | 3 | – | |
| AVG | 3 | 2.33 | 2.33 | 2.33 | 2 | 3 | 2 | ||||||||
| COs | PC-CS-AIML-212A:Software Engineering | BL | |||||||||||||
| CO1 | To understand the basic concepts of Software Engineering | 4 | |||||||||||||
| CO2 | To understand the fundamental concept of requirements engineering and Analysis Modelling | 3 | |||||||||||||
| CO3 | To understand the different design techniques and their implementation | 5 | |||||||||||||
| CO4 | To learn about software testing and maintenance measures | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 3 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 0 | |
| CO2 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 1 | |
| CO3 | 2 | 2 | 3 | 2 | 3 | – | – | – | – | – | – | 3 | 3 | 1 | |
| CO4 | 2 | 1 | 3 | 1 | 3 | – | – | – | – | – | – | 3 | 2 | 1 | |
| AVG | 2.5 | 1.75 | 2.75 | 1.5 | 3 | 2.5 | 2.25 | 1 | |||||||
| COs | PC-CS-AIML-216A:Database Management Systems lab/FOURTH Semester | BL | |||||||||||||
| CO1 | Implement the basic DDL commands | 2 | |||||||||||||
| CO2 | ImplementDCLandDML commands. | 6 | |||||||||||||
| CO3 | Apply various SQL queries using SQL operators | 2 | |||||||||||||
| CO4 | Demonstrate the concept of relational algebra | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 2 | 3 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 3 | 3 | 3 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 3 | 3 | 2 | – | – | – | – | – | – | 2 | 3 | – | |
| AVG | 3 | 2.5 | 2.75 | 2.5 | 2 | 2 | 3 | 3 | |||||||
| COs | PC-CS-AIML-218A:Internet and Web Technology Lab/FOURTH Semester | BL | |||||||||||||
| CO1 | Design webpages using HTML, CSS, and JavaScript | 3 | |||||||||||||
| CO2 | Design and test simple function/program to implement Searching and sorting techniques using Python | 5 | |||||||||||||
| CO3 | Develop program in JavaScript for pattern matching using regular expressions and errors in scripts | 2 | |||||||||||||
| CO4 | Design client-server based web applications | 6 | |||||||||||||
| Cos | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 1 | 2 | 3 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 2 | |
| CO2 | 1 | 2 | 3 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 1 | 3 | 3 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 2 | |
| CO4 | 2 | 3 | 3 | 2 | 3 | – | – | – | – | – | – | 3 | 2 | 3 | |
| AVG | 1.25 | 2.5 | 3 | 1.75 | 3 | 2.25 | 2 | 2.5 | |||||||
| COs | PC-CS-AIML-220A:Python Lab-II/FOURTH Semester | BL | |||||||||||||
| CO1 | To understand the basic concepts of Python libraries | 2 | |||||||||||||
| CO2 | To learn and apply concepts of data manipulation in machine learning | 2 | |||||||||||||
| CO3 | To learn and apply descriptive analysis concepts | 5 | |||||||||||||
| CO4 | To understand the fundamentals of knowledge representation | 4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 1 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 1 | 2 | |
| CO2 | 2 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 3 | 1 | 3 | |
| CO3 | 1 | 2 | 1 | 2 | 3 | – | – | – | – | – | – | 3 | 3 | 2 | |
| CO4 | 1 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 1 | 2 | |
| AVG | 1.25 | 2.25 | 1.75 | 2 | 2.75 | 2.5 | 1.5 | 2.25 | |||||||
| COs | MC-901A:Environmental Sciences/FOURTH Semester | BL | |||||||||||||
| CO1 | The students will be able to learn the importance of natural resources | 2 | |||||||||||||
| CO2 | To learn the theoretical and practical aspects of the ecosystem | 2 | |||||||||||||
| CO3 | Will be able to learn the basic concepts of conservation of biodiversity | 3 | |||||||||||||
| CO4 | The students will be able to understand the basic concept of sustainable development | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 3 | 2 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 3 | 3 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 2 | 2 | 2 | 1 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 2 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| AVG | 2.5 | 2.75 | 2.25 | 1.75 | 2 | 3 | 3 | ||||||||
| Third Year (5TH SEM) | |||||||||||||||
| COs | Design and Analysis of Algorithms (PC-CS-AIML-303A) / FIFTH Semester | BL | |||||||||||||
| CO1 | Determine and distinguish the concept of Advance data structures. | 4 | |||||||||||||
| CO2 | Examine various graph algorithms and their complexities. | 3 | |||||||||||||
| CO3 | Outline the basic concepts of computational complexities. | 2 | |||||||||||||
| CO4 | Define and memorize various flow and sorting networks | 1 | |||||||||||||
| Cos | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO2 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | 2 | 2 | 3 | 3 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | 2 | 2 | 3 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | |
| AVG | 2.5 | 2 | 2.75 | 2.5 | 3 | 3 | |||||||||
| COs | Design and Analysis of Algorithms Lab (PC-CS-AIML-317 LA ) / FIFTH Semester | BL | |||||||||||||
| CO1 | Formulate and Design algorithms for various computing problems. | 6 | |||||||||||||
| CO2 | Apply algorithms and data structures in real world problems. | 3 | |||||||||||||
| CO3 | Solve problems to analyze the time and Space Complexity. | 4 | |||||||||||||
| CO4 | Implement a given problem using different algorithm designing techniques. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 3 | 2 | 1 | – | – | – | – | – | – | – | 3 | 3 | |
| CO2 | 2 | 2 | 2 | 2 | 1 | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | 2 | 3 | 2 | 3 | 1 | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | 2 | 2 | 3 | 2 | 1 | – | – | – | – | – | – | – | 3 | 3 | |
| AVG | 2 | 2.25 | 2.5 | 2.25 | 1 | – | – | – | – | – | – | – | 3 | 3 | |
| COs | Automata (PC-CS-AIML-301A) | BL | |||||||||||||
| CO1 | Outline the fundamental concepts in automata theory and formal languages. | 2 | |||||||||||||
| CO2 | Understand context-free grammars, properties of languages, grammars and automata with rigorously formal mathematical method. | 2 | |||||||||||||
| CO3 | Differentiate and manipulate formal descriptions of push down automata, its applications and transducer machines. | 4 | |||||||||||||
| CO4 | Understand the basic properties of Turing machines and computing the tractability and decidability with Turing machine. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 1 | 1 | 1 | – | – | – | – | – | – | 2 | 2 | 2 | 2 | |
| CO2 | 2 | 1 | 1 | 1 | – | – | – | – | – | – | 2 | 2 | 2 | 1 | |
| CO3 | 1 | 1 | 1 | 1 | – | – | – | – | – | – | 1 | 1 | 1 | 1 | |
| CO4 | 2 | 1 | 1 | 1 | – | – | – | – | – | – | 3 | 2 | 1 | 2 | |
| Avg | 1.75 | 1 | 1 | 1 | – | – | – | – | – | – | 2 | 1.75 | 1.5 | 1.5 | |
| COs | Computer Architecture (ES-CS-AIML 309A) / Fifth Semester | BL | |||||||||||||
| CO1 | Define the functional unit of the processor such as the register file and arithmetic logical unit and with the basic of system topic. | 1 | |||||||||||||
| CO2 | Interpret the design trade‐offs in designing and constructing a computer processor. | 2 | |||||||||||||
| CO3 | Analyze the CPU design including the RISC/CISC architectures. | 4 | |||||||||||||
| CO4 | Demonstrate the basic knowledge of I/O devices and interfacing of I/O devices with computer. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 1 | – | – | – | – | – | – | – | – | – | 2 | 2 | – | |
| CO2 | 2 | 2 | 3 | 2 | – | – | – | – | – | – | – | 2 | 2 | 2 | |
| CO3 | 3 | 3 | 3 | 2 | – | – | – | – | – | – | – | 2 | 2 | 2 | |
| CO4 | 3 | – | 2 | 2 | – | – | – | – | – | – | – | 2 | 2 | – | |
| AVG | 2.75 | 2 | 2.66 | 2 | 2 | 2 | 2 | ||||||||
| COs | Energy Resource and Management (MC-904A) / Fifth Semester | B L | |||||||||||||
| CO1 | Outline Energy Resources, Conventional and Non-conventional sources. | 2 | |||||||||||||
| CO2 | Demonstrate the Layout and working of Conventional Power Plants | 2 | |||||||||||||
| CO3 | Demonstrate the Layout and working of Non-Conventional Power Plants. | 2 | |||||||||||||
| CO4 | Explain the Energy Management, Audit and tariffs, Role of Energy in Economic development and Energy Scenario in India | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 1 | 2 | 1 | – | – | – | 1 | – | – | – | – | – | – | – | |
| CO2 | 3 | 2 | 2 | 2 | – | – | 2 | – | – | – | 1 | – | – | – | |
| CO3 | 3 | 2 | 2 | 2 | – | – | 2 | – | – | – | 1 | – | – | – | |
| CO4 | 2 | 2 | 2 | 2 | – | – | 2 | – | – | – | 1 | – | – | – | |
| AVG | 2.25 | 2 | 1.75 | 2 | – | – | 1.75 | – | – | – | 1 | – | – | – | |
| COs | Seminar SIM-301A* | BL | |||||||||||||
| CO1 | Review and comprehend the identified literature | 4 | |||||||||||||
| CO2 | Prepare relevant presentations | 6 | |||||||||||||
| CO3 | Deliver a presentation effectively | 3 | |||||||||||||
| CO4 | Ask/Answer the questions appropriately | 5 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 3 | – | – | – | – | – | – | – | 3 | – | – | 2 | – | |
| CO2 | – | – | – | – | – | – | – | – | – | 3 | – | – | 2 | – | |
| CO3 | – | – | – | – | – | – | – | – | – | 3 | – | – | 2 | – | |
| CO4 | – | 3 | – | – | – | – | – | – | – | – | – | – | 2 | – | |
| AVG | – | 3 | – | – | – | – | – | – | – | 3 | – | – | 2 | – | |
| COs | Artificial Intelligence and Machine Learning Lab (PC-CS-313A) / fifth Semester | BL | |||||||||||||
| CO1 | To implement the search space problems. | 2 | |||||||||||||
| CO2 | To formulate and implement the game problems. | 6 | |||||||||||||
| CO3 | To implement the various classifiers on different dataset using NumPy and Pandas. | 2 | |||||||||||||
| CO4 | To implement the clustering algorithms. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 1 | 1 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 3 | 1 | 1 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 2 | 3 | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 1 | 3 | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| AVG | 3 | 2.25 | 2 | 2 | 2 | 3 | 3 | ||||||||
| COs | Computer Networks (ES-CS-AIML-305A) / fifth Semester | BL | |||||||||||||
| CO1 | To Outline the basic concept of networking, types, networking topologies and layered architecture. | 2 | |||||||||||||
| CO2 | To Explain data link layer and MAC sub-layer. | 2 | |||||||||||||
| CO3 | To Demonstrate the network Layer functioning. | 3 | |||||||||||||
| CO4 | To Explain the transport layer and application layer operation. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 2 | – | |
| CO2 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 2 | – | |
| CO3 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 2 | – | |
| CO4 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 2 | – | |
| AVG | 3 | 2 | 2 | 2 | 2 | 2 | |||||||||
| COs | Artificial Neural Networks (PE-CS-AIML-307A) / fifth Semester | BL | |||||||||||||
| CO1 | To learn the basics of artificial neural networks concepts, various neural networks architecture | 2 | |||||||||||||
| CO2 | To Explore detailed explanation of various neural networks architecture. | 2 | |||||||||||||
| CO3 | To explore knowledge of special types of Artificial neural networks. | 5 | |||||||||||||
| CO4 | To explore deep neural networks and fuzzy logic techniques. | 4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| AVG | 3 | 2.75 | 2 | 2 | 2.5 | 2 | 3 | 3 | |||||||
| COs | Artificial Neural Networks Lab (PC-CS-AIML-315 LA) / fifth Semester | BL | |||||||||||||
| CO1 | To implement the search space problems. | 2 | |||||||||||||
| CO2 | To formulate and implement the game problems. | 2 | |||||||||||||
| CO3 | To implement the various classifiers on different dataset. | 3 | |||||||||||||
| CO4 | To implement the clustering algorithms | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 3 | 3 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 2 | 2 | 2 | 1 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 3 | 3 | |
| COs | Artificial Intelligence and Machine Learning (PC-CS-AIML-311A) / fifth Semester | BL | |||||||||||||
| CO1 | To implement the search space problems. | 3 | |||||||||||||
| CO2 | To formulate and implement the game problems. | 3 | |||||||||||||
| CO3 | To implement the various classifiers on different dataset. | 3 | |||||||||||||
| CO4 | To implement the clustering algorithms. | 3 | |||||||||||||
| Cos | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 1 | 1 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 3 | 2 | 2 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 1 | 1 | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 2 | 3 | 2 | – | – | – | – | – | – | – | 3 | 3 | 3 | |
| AVG | 3 | 1.75 | 1.75 | 2.25 | 2.25 | 3 | 3 | ||||||||
| Third Year (6TH SEM) | |||||||||||||||
| COs | Human Computer Interaction (PC-CS-AIML-302A)/Sixth Semester | BL | |||||||||||||
| CO1 | To develop the foundations of Human Computer Interaction. | 2 | |||||||||||||
| CO2 | To learn and apply the design technologies basics for individuals and persons with disabilities | 3 | |||||||||||||
| CO3 | To Understand the structure of models and theories of human computer interaction and vision | 2 | |||||||||||||
| CO4 | To Design an interactive web interface on the basis of models studied. | 4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 1 | 1 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 1 | 3 | 1 | – | – | – | – | – | – | – | 1 | 3 | 3 | |
| CO3 | 3 | 2 | 3 | 1 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | 3 | 3 | 2 | 1 | – | – | – | – | – | – | – | 1 | 3 | 3 | |
| AVG | 3 | 2.25 | 2.25 | 1 | 1.33 | 3 | 3 | ||||||||
| COs | Applied Machine Learning (PC-CS-AIML-304A) /Sixth Semester | BL | |||||||||||||
| CO1 | Identify the basic Principles and Applications of Machine Learning in various real time problems such as dimensionality reduction. | 1,2 | |||||||||||||
| CO2 | Illustrate the working of classifier models such as SVM, Neural networks and Identify classifier model for typical machine learning application | 3,4 | |||||||||||||
| CO3 | Apply different classification and clustering algorithms and identify its applicability in real life problems | 4 | |||||||||||||
| CO4 | To learn and apply unsupervised machine learning technique | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 2 | 1 | – | – | – | – | – | – | – | 1 | 3 | 3 | |
| CO2 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 3 | 1 | 2 | — | – | – | – | – | – | – | 1 | 3 | 3 | |
| AVG | 3 | 3 | 2.25 | 2.25 | 1.5 | 3 | 3 | ||||||||
| COs | Expert Systems (PC-CS-AIML-306A) /Sixth Semester | BL | |||||||||||||
| CO1 | Examining the fundamentals and terminologies of expert system. | 2 | |||||||||||||
| CO2 | To explore knowledge of expert system. | 4 | |||||||||||||
| CO3 | To facilitate students to implement various knowledge representation techniques for acquisition and validate various structures in experts system domain | 5 | |||||||||||||
| CO4 | Signifying AI techniques to solve social, industrial, and environmental problems. | 6 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO2 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | 2 | 2 | 2 | – | – | 3 | – | – | – | – | – | – | 3 | 3 | |
| CO4 | 2 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | – | 3 | 3 | |
| AVG | 2 | 2 | 2 | 2 | 2 | 3 | 3 | 3 | |||||||
| COs | Software Testing (PC-CS-AIML-308A) /Sixth Semester | BL | |||||||||||||
| CO1 | Expose the criteria and parameters for the generation of test cases. | 2 | |||||||||||||
| CO2 | Learn the design of test cases and generating test cases. | 2 | |||||||||||||
| CO3 | Be familiar with test management and software testing activities and V&V activities. | 3 | |||||||||||||
| CO4 | Be exposed to the significance of software testing in web and Object orient techniques. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 1 | 2 | – | – | – | – | – | – | 1 | 2 | 3 | |
| CO2 | 3 | 2 | 2 | 1 | 2 | – | – | – | – | – | – | 1 | 2 | 3 | |
| CO3 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | 2 | 3 | |
| AVG | 3 | 2 | 2 | 1.5 | 2 | 1.25 | 2 | 3 | |||||||
| COs | Computer Vision (PC-CS-AIML-310A) /Sixth Semester | BL | |||||||||||||
| CO1 | To develop the foundation of image formation, measurement, and analysis | 2 | |||||||||||||
| CO2 | To develop the practical skills necessary to build computer vision applications | 3 | |||||||||||||
| CO3 | Demonstrate the geometric relationships between 2D images and the 3D world. | 3 | |||||||||||||
| CO4 | To have gained exposure to object and scene recognition and categorization from images | 4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO2 | 3 | 3 | 1 | – | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | – | – | 3 | – | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | – | 1 | – | 3 | – | – | – | – | – | – | – | – | 3 | 3 | |
| AVG | 2.5 | 2 | 2 | 3 | 3 | 3 | |||||||||
| COs | Soft Skills and Interpersonal Communication (OE-CS-AIML-302) / Sixth Semester | BL | |||||||||||||
| CO1 | Develop concept of communication and speaking skills. | 3 | |||||||||||||
| CO2 | Develop the ways to improve personality, soft skills and organizational skills. | 3 | |||||||||||||
| CO3 | Develop the thinking ability and expression improvement in group discussion. | 3 | |||||||||||||
| CO4 | Design the effective resume as per industry requirement. | 6 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | – | – | – | 2 | – | – | – | 1 | 3 | – | 3 | – | – | |
| CO2 | – | – | – | – | 3 | – | – | – | 2 | 3 | – | 3 | – | – | |
| CO3 | – | – | – | – | – | – | – | 2 | 3 | 3 | – | 3 | – | – | |
| CO4 | – | – | – | – | – | – | – | – | – | 3 | – | 3 | 1 | 1 | |
| AVG | 2.5 | 2 | 2 | 3 | 3 | 1 | 1 | ||||||||
| COs | Applied Machine learning lab (PC-CS-AIML-312A ) /Sixth Semeste | BL | |||||||||||||
| CO1 | Understand the mathematical and statistical prospectives of machine learning algorithms through python programming. | 2 | |||||||||||||
| CO2 | Design and evaluate the unsupervised models through python in built functions. | 2 | |||||||||||||
| CO3 | Evaluate the machine learning models pre-processed through various feature engineering algorithms by python programming. | 4,3 | |||||||||||||
| CO4 | Design and apply various reinforcement algorithms to solve real time complex problems. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 1 | 2 | 1 | 1 | – | – | – | – | 2 | 1 | – | 2 | 3 | 3 | |
| CO2 | 2 | 1 | 2 | – | – | – | – | – | 2 | 1 | – | 2 | 3 | 3 | |
| CO3 | – | 2 | 2 | 2 | – | – | – | – | 1 | 1 | – | 2 | 3 | 3 | |
| CO4 | – | – | – | 2 | – | – | – | – | 2 | 1 | – | 2 | 3 | 3 | |
| AVG | 1.5 | 1.66 | 1.66 | 1.66 | – | – | – | 1.75 | 1 | 2 | 3 | 3 | |||
| COs | Expert System Lab (PC-CS-AIML-314A) / Sixth Semester | BL | |||||||||||||
| CO1 | To identify the scope and limits of the artificial intelligence (AI) field | 1 | |||||||||||||
| CO2 | To assess the applicability, strengths, and weaknesses of the basic knowledge representation | 6 | |||||||||||||
| CO3 | To interpret the role of knowledge representation, problem solving, and learning | 2,3 | |||||||||||||
| CO4 | The student will be able to explain various search algorithms. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 3 | 3 | 3 | – | – | – | – | – | – | – | 3 | 3 | ||
| CO2 | 2 | – | 2 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | 2 | – | 2 | 2 | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | 2 | 2 | 2 | – | – | – | – | – | – | – | – | – | 3 | 3 | |
| AVG | 2 | 2.5 | 2.25 | 2.33 | 3 | 3 | |||||||||
| COs | Software Testing Lab (PC-CS-AIML-318A) /Sixth Semester | BL | |||||||||||||
| CO1 | To understand the basic concepts of Software Engineering. | 3 | |||||||||||||
| CO2 | To understand the different design techniques. | 3 | |||||||||||||
| CO3 | To understand different software development models. | 3 | |||||||||||||
| CO4 | To understand different types of Testing. | 4,3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 2 | 2 | 3 | 1 | 2 | – | – | – | – | – | – | 1 | 2 | 3 | |
| CO2 | 2 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | 2 | 3 | |
| CO3 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 1 | 2 | 3 | |
| CO4 | 3 | 2 | 2 | 2 | 2 | – | – | – | – | – | – | 1 | 2 | 3 | |
| AVG | 2.5 | 2 | 2.25 | 1.75 | 2.25 | – | – | – | 1 | 2 | 3 | ||||
| Final Year (7TH SEM) | |||||||||||||||
| COs | Data Science with R Programming (PC-CS-AIML-401 A) / Seventh Semester | BL | |||||||||||||
| CO1 | To understand Basics of Data Science statistics, Identify probability distributions. | 2 | |||||||||||||
| CO2 | To perform basics statistical analysis Using R. | 4 | |||||||||||||
| CO3 | To Apply basic tools to carry out Exploratory data analysis. | 2,3 | |||||||||||||
| CO4 | To explore the components data science Process to interact via machine learning models. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | – | – | – | – | – | – | – | – | – | 3 | 1 | 1 | |
| CO2 | 3 | 3 | 3 | 2 | 1 | – | – | – | – | – | – | 3 | 2 | 2 | |
| CO3 | 3 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| CO4 | 3 | 2 | 3 | 3 | 3 | – | – | – | – | – | – | 3 | 2 | 3 | |
| AVG | 3 | 2.5 | 2.66 | 2.33 | 2.3 | 3 | 1.75 | 2 | |||||||
| COs | R Programming Lab (PC-CS-AIML-407 lA) / Seventh Semester | BL | |||||||||||||
| CO1 | Install and use R for simple programming tasks. Extend the functionality of R by using add-on packages. | 2 | |||||||||||||
| CO2 | To perform basics statistical analysis Using R. | 2 | |||||||||||||
| CO3 | To Apply basic tools to carryout Exploratory data analysis. | 4 | |||||||||||||
| CO4 | To explore the components data science Process to interact via machine learning models. | 2,3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | – | – | – | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| CO2 | 3 | 2 | 1 | 1 | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| CO3 | 3 | 2 | 3 | 2 | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| CO4 | 3 | 2 | 1 | 2 | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| AVG | 3 | 2 | 1.6 | 1.6 | 3 | – | – | – | – | – | – | 3 | 2 | 2 | |
| COs | Universal Human Values II: Understanding Harmony (HSS- 403 A)/ Seventh Semester | BL | |||||||||||||
| CO1 | Development of a holistic perspective based on self-exploration about | 2 | |||||||||||||
| CO2 | Understanding (or developing clarity) of the harmony in the human being, | 2 | |||||||||||||
| CO3 | Strengthening of self-reflection. | 2 | |||||||||||||
| CO4 | Development of commitment and courage to act. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 1 | – | 2 | – | 3 | 1 | 3 | 2 | 2 | – | 3 | – | – | |
| CO2 | – | 1 | – | 2 | – | 3 | 1 | 3 | 3 | 3 | – | 3 | – | – | |
| CO3 | – | – | – | 2 | – | 3 | 1 | 3 | 2 | 1 | – | 3 | – | – | |
| CO4 | – | 1 | – | 2 | – | 3 | 1 | 3 | 2 | 3 | – | 3 | – | – | |
| AVG | – | 1 | – | 2 | 3 | 1 | 3 | 2.25 | 2.25 | – | 3 | – | – | ||
| COs | Robotics and Intelligent System (OE-CS-AIML 401) / Seventh Semester | BL | |||||||||||||
| CO1 | To Understand the basic terminologies in Robotics to develop intelligent systems | 3 | |||||||||||||
| CO2 | To Apply the random search and heuristic search for intelligent systems. | 3 | |||||||||||||
| CO3 | To Understand the abstractions and reasoning for intelligent systems, Apply the rule-based methods in intelligent systems | 3 | |||||||||||||
| CO4 | To Identify the characteristics and architectures of algorithms of multi agent systems, Identify different application areas of Intelligent Systems | 4,3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO2 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO3 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO4 | 3 | 2 | 2 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| AVG | 3 | 2.75 | 2.75 | 3 | 3 | – | – | – | 3 | 3 | 3 | ||||
| COs | Working with Raspberry Pi and Arduino Platform (PE-CS-AIML- 425 A) / Seventh Semester | BL | |||||||||||||
| CO1 | To learn the embedded system and their working and IOT fundamentals. | 3 | |||||||||||||
| CO2 | To know the use of Arduino and its basic concepts. Also understand the various Arduino based projects. | 3 | |||||||||||||
| CO3 | To understand the raspberry Pi and programming done with it. | 3 | |||||||||||||
| CO4 | To Apply programming and hardware interfaces with Raspberry Pi and various projects. | 3,4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 1 | – | – | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO2 | 3 | 2 | – | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| CO4 | 3 | 1 | 2 | – | – | – | – | – | – | – | – | 2 | 3 | 3 | |
| AVG | 3 | 1.75 | 2.5 | 3 | 2 | 3 | 3 | ||||||||
| COs | Working with Raspberry Pi and Arduino Platform Lab (PE-CS-AIML- 425 LA) / Seventh Semester | BL | |||||||||||||
| CO1 | To understand the Raspberry Pi. | 3 | |||||||||||||
| CO2 | To perform basics practical’s using Arduino platform | 3 | |||||||||||||
| CO3 | To apply various Raspberry pi & Arduino platform in real world life. | 3 | |||||||||||||
| CO4 | To implement and connect with MySQL database | 3,4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | – | – | – | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO2 | 3 | 2 | 3 | – | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO3 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO4 | 3 | – | – | – | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| AVG | 3 | 2.5 | 3 | 3 | 3 | – | – | – | – | – | – | 3 | 3 | 3 | |
| COs | Project I (PC-CS-AIML- 409LA) / Seventh Semester | BL | |||||||||||||
| CO1 | Independently carry out literature survey in identified domain, and consolidate it to formulate a problem statement | 4 | |||||||||||||
| CO2 | Apply identified knowledge to solve a complex engineering problem and design a solution, implement and test the proposed solution | 3 | |||||||||||||
| CO3 | Use synthesis/modeling to simulate and solve a problem or apply appropriate method of analysis to draw valid conclusions and present, demonstrate, execute final version of project | 3 | |||||||||||||
| CO4 | Incorporate the social, environmental and ethical issues effectively into solution of an engineering problem | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 3 | – | – | – | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO2 | 3 | – | 3 | – | – | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | – | – | – | 3 | 3 | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | – | – | – | – | – | 3 | 3 | 3 | – | – | – | – | 3 | 3 | |
| AVG | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | ||||
| COs | Advance Computer Architecture (PE-CS-AIML- 415 A) / Seventh Semester | BL | |||||||||||||
| CO1 | To Classify and interpret various paradigms, models and micro-architectural design of advanced computer architecture as well as identify the parallel processing types and levels for achieving optimum scheduling | 3 | |||||||||||||
| CO2 | To Identify the roles of VLIW & superscalar processors and branch handling techniques for performance improvement | 3 | |||||||||||||
| CO3 | To Analyze and interpret the basic usage of various MIMD architectures and relative importance of various types of static and dynamic connection networks for realizing efficient networks. | 3 | |||||||||||||
| CO4 | To Examine the various types of processors and memory hierarchy levels and cache coherence problem including software and hardware-based protocols to achieve better speed and uniformity. | 3,4 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | – | 3 | 2 | – | – | – | – | – | – | – | 2 | 2 | 1 | |
| CO2 | 2 | 3 | – | 2 | – | – | – | – | – | – | – | 1 | 2 | 1 | |
| CO3 | 3 | – | – | – | – | – | – | – | – | – | – | 1 | 2 | 1 | |
| CO4 | 3 | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | 2 | 1 | |
| AVG | 2.75 | 2.5 | 2.5 | 2 | – | – | – | – | – | – | – | 1.5 | 2 | 1 | |
| COs | Industrial Training (PC-CS-AIML-413LA)/ Seventh Semester | BL | |||||||||||||
| CO1 | Review and comprehend the identified literature | 4 | |||||||||||||
| CO2 | Prepare relevant presentations | 6 | |||||||||||||
| CO3 | Deliver a presentation effectively | 3 | |||||||||||||
| CO4 | Ask/Answer the questions appropriately | 5 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 3 | – | – | – | – | – | – | – | 3 | – | 1 | 2 | – | |
| CO2 | – | – | – | – | – | – | – | – | – | 3 | – | 1 | 2 | – | |
| CO3 | – | – | – | – | – | – | – | – | – | 3 | – | 1 | 2 | – | |
| CO4 | 1 | 3 | – | – | – | – | – | – | – | – | – | 1 | 2 | – | |
| AVG | 1 | 3 | – | – | – | – | – | – | – | 3 | – | 1 | 2 | – | |
| Final Year (8TH SEM) | |||||||||||||||
| COs | Optimization methods in ML (PC-CS-AIML 402- A) / Eighth Semester | BL | |||||||||||||
| CO1 | To understand the basics of convex optimization. | 2 | |||||||||||||
| CO2 | To learn the basics of gradient based methods. | 1 | |||||||||||||
| CO3 | To apply the operator’s splitting methods. | 1 | |||||||||||||
| CO4 | To know about stochastic and non-convex optimization dual averaging. | 3,6 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO2 | 3 | 3 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 3 | 3 | 2 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 3 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| AVG | 3 | 2.75 | 1.5 | 1.5 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| COs | Entrepreneurship and Start-ups (HSS-404 A) / Eighth Semester | BL | |||||||||||||
| CO1 | To understand the basics of Entrepreneurship. | 2 | |||||||||||||
| CO2 | To learn the basics of Creative and Design Thinking. | 1 | |||||||||||||
| CO3 | To apply the Business Enterprises. | 3,6 | |||||||||||||
| CO4 | To know about business models. | 1,2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 2 | 2 | 2 | – | – | – | – | – | – | – | 2 | – | – | |
| CO2 | 2 | 1 | 1 | 1 | – | – | – | – | – | – | – | 2 | – | – | |
| CO3 | – | – | – | – | – | – | – | – | – | – | – | – | – | – | |
| CO4 | – | – | – | – | – | – | – | – | – | – | – | 2 | – | – | |
| AVG | 2 | 1.5 | 1.5 | 1.5 | – | – | – | – | – | – | 2 | – | – | ||
| COs | Image Processing and Recognition (OE-CS-AIML-410) / Eighth Semester | BL | |||||||||||||
| CO1 | To Understand Basics of Image formation and transformation using sampling and quantization. | 1,2 | |||||||||||||
| CO2 | To Understand different types of signal processing techniques used for image sharpening and smoothing. | 2,3 | |||||||||||||
| CO3 | To understand the nature and inherent difficulties of the pattern recognition problems. | 4 | |||||||||||||
| CO4 | To Understand concepts, trade-offs, and appropriateness of the different feature types and classification techniques such as Bayesian, maximum likelihood, etc | 5 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO2 | 3 | 2 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 3 | 2 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| AVG | 3 | 2 | 1.25 | 1.25 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| COs | Neural Network and Fuzzy Logic systems (PE-CS-AIML-420A) / Eighth Semester | BL | |||||||||||||
| CO1 | To learn the basics of fuzzy logic artificial neural networks concepts and its applications. | 1,2 | |||||||||||||
| CO2 | To understand reasoning and fuzzy logic for artificial intelligence. | 3 | |||||||||||||
| CO3 | To learn defuzzification and fuzzy measures. | 2,4 | |||||||||||||
| CO4 | To learn applications of fuzzy logic and hybrid computing techniques. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO2 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| AVG | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| COs | Natural Language Processing (PE-CS-AIML-426A) / Eighth Semester | BL | |||||||||||||
| CO1 | Be familiar with syntax and semantics in NLP. | 2 | |||||||||||||
| CO2 | To implement various concepts of knowledge representation using Prolog. | 6 | |||||||||||||
| CO3 | To classify different parsing techniques and understand semantic networks. | 4 | |||||||||||||
| CO4 | To understand the concept of semantic networks. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 1 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO2 | 3 | 2 | 1 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 3 | 2 | 2 | 1 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| AVG | 3 | 1.75 | 1.5 | 1.25 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| COs | Optimization Lab (PC-CS-AIML-406LA) / Eighth Semester | BL | |||||||||||||
| CO1 | Apply mathematical and computational skills needed for the practical utility operation research. | 3 | |||||||||||||
| CO2 | Implement various linear programming problems | 3,6 | |||||||||||||
| CO3 | Implement various convex optimization methods in machine learning | 3,6 | |||||||||||||
| CO4 | Understand and implement genetic algorithms. | 3,6 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO2 | 3 | 3 | 3 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 2 | 2 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| AVG | 3 | 2.25 | 2.25 | 2 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| COs | Advance AI Application Lab (PC- CS- AIML- 408LA)/ Eight Semester | BL | |||||||||||||
| CO1 | Implementation of various type of algorithm in AI applications for better use of application. | 3,6 | |||||||||||||
| CO2 | In-depth learning of machine learning, Deep learning and neural networks. | 4,6 | |||||||||||||
| CO3 | Implement various artificial intelligence technique. | 5, 6 | |||||||||||||
| CO4 | Understand artificial intelligence and its analytics in real world. | 2 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO2 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO3 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| CO4 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| AVG | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | 2 | 2 | 3 | |
| COs | Project II(PC-CS-AIML-410LA)/ Eight Semester | BL | |||||||||||||
| CO1 | Independently carry out literature survey in identified domain, and consolidate it to formulate a problem statement. | 4 | |||||||||||||
| CO2 | Apply identified knowledge to solve a complex engineering problem and design a solution, implement and test the proposed solution. | 3 | |||||||||||||
| CO3 | Use synthesis/modeling to simulate and solve a problem or apply appropriate method of analysis to draw valid conclusions and present, demonstrate, execute final version of project. | 3 | |||||||||||||
| CO4 | Incorporate the social, environmental and ethical issues effectively into solution of an engineering problem. | 3 | |||||||||||||
| COs | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | |
| CO1 | – | 3 | – | – | – | – | – | – | – | – | – | 3 | 3 | 3 | |
| CO2 | 3 | 3 | 3 | 3 | 3 | – | – | – | – | – | – | – | 3 | 3 | |
| CO3 | – | – | – | 3 | 3 | – | – | – | – | – | – | – | 3 | 3 | |
| CO4 | – | – | – | – | – | 3 | – | 3 | 3 | – | – | 2 | – | – | |
| AVG | 3 | 3 | 3 | 3 | 3 | 3 | – | 3 | 3 | 3 | 3 | 2.5 | 3 | 3 | |
