Computer Science & Engineering (AI & ML)

Student Evaluation and OBE

Evaluation Scheme for B. Tech.
    • Theory (100 Marks)
      • Continuous Internal Assessment (25 Marks)
        • Sessional Tests (15 Marks)
        • Attendance (5 Marks)
        • Assignments (5 Marks)
      • End Semester University Examination (75 Marks)
    • Practicals (100 Marks)
      • Continuous Internal Assessment (40 Marks)
        • Lab Performance (16 Marks)
        • Lab Records/Attendance (12 Marks)
        • Viva (12 Marks)
      • End Semester University Examination (60 Marks)
    • Project Evaluation
    • Seminar on Internship Evaluation
Course Outcomes and CO-PO Mapping
CO-PO/PSO matrix: Academic Year 2023-24
Second Year (3rd Semester)
COs Programming Language (ES-CS-AIML-209A)/Third Semester BL
CO1 Explain the concepts of programming language, the general problems and methods related to syntax and semantics. 2
CO2 Interpret the structured data objects, sub programs and programmer defined data type. 3
CO3 Outline the sequence control and data control. 3
CO4 Apply the concepts of storage management using programming languages. 3
CO5 Implementing the subprogram call and return. 3
CO6 Classify procedural, non procedural and object oriented programming language. 2,4
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 2 2 2 2 2
CO2 2 1 2 3 2 2
CO3 2 2 2 2 2 2 2
CO4 2 2 2 3 2 2 2
CO5 2 2 2 3 2 2 2
CO6 2 2 2 3 2 2 2
AVG 2 1.83 2 2.66 2 2 2
COs Data Structure (ES-CS-AIML-203A) /Third Semester BL
CO1 Define data structures like array, stack, queues and linked list. 1
CO2 Explain insertion, deletion and traversing operations on data structures. 2
CO3 Identify the asymptotic notations to find the complexity of an algorithm. 2
CO4 Compare various searching and sorting techniques. 2,4
CO5 Choose appropriate data structure while designing the algorithms. 3
CO6 Design advance data structures using non linear data structures. 3,6
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
CO5 2 2 2 2 2 2 3
CO6 3 3 2 3 2 2     – 3
AVG 2.83 2.33 2 2.33 2 1.66 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 hypothesis with real time applications. 3
CO4 To apply the examining relationships to find the correlation and regression. 4
CO5 To demonstrate and analyze using basic statistical techniques with different use cases. 2
CO6 To understand the advanced techniques with applications of decision trees,neural networks. 2
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
CO5 3 2 2
CO6 3 2 2
AVG 3 2 2.3 2
COs Object Oriented Programming (PC-CS-AIML-205A) /Third Semester BL
CO1 Explain the basic concepts of object-oriented programming language and their representation. 2
CO2 Illustrate dynamic memory allocation functions, access specifiers and the friend functions. 2
CO3 Demonstrate the use of constructors, destructors and also the behaviour of inheritance and its implementation. 3
CO4 Implement polymorphism and overloading of operators. 3
CO5 Apply the I/O operations to handle backup system using files and to develop general purpose templates. 3
CO6 Handle raised exception while implementing various object-oriented concepts. 4
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 2 2 2 2 2 1
CO2 3 2 3 2 3 1
CO3 3 2 2 3 2 1 2 2
CO4 3 2 3 3 3 1 2 2
CO5 3 3 3 2 3 1 2 2
CO6 3 3 3 3 3 1 2 2
AVG 2.8 2.3 2.7 2.5 2.7 1 2 2
COs Introduction to 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, 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
CO5 Demonstrate the real life examples of Artificial Intelligence 4
CO6 Demonstrate an ability to share in discussions of AI, its current scope and limitations, and societal implications 3
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
CO5 3 2 3 2
CO6 1 2 1 2 2 3 2
AVG 1.6 2.33 1.75 1.5 2 1.8 3 2.3
COs Business Intelligence and Entrepreneurship (HM-902A ) /Third Semester BL
CO1 Define entrepreneurship and factors related to economic developments. 2
CO2 Explain entrepreneurial opportunity search. 2
CO3 Identify the product, conduct market studies and project report preparation. 4,3
CO4 Define and understand small enterprises launching formalities 2
CO5 Demonstrate the role of support institutions and management of small business. 3
CO6 Explain the legal issues for entrepreneurs. 2
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 2 2 2 2
CO2 2 2 2 2
CO3 2 3 1 2 3 3 3
CO4 2 2 2 2 2 2 2 2
CO5 2 2 3 1 3 2
CO6 3 2 2 2
AVG 2 2.25 1.75 2 2.5 1.66 2.66 2.33 2
COs Data Structure Lab (PC-CS-AIML-213LA) /Third Semester BL
CO1 Implement linear and non linear data structures using linked list. 3
CO2 Apply various data structures such as stack, queue and tree to solve the problems. 3
CO3 Implement various searching and sorting techniques. 3
CO4 Analyze the complexity of the algorithms. 4,5
CO5 Choose appropriate data structure while designing the 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
CO5 3 3 3 2 3 2 3 3
AVG 3 2.6 2.4 2 2.4 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 list, tuples, dictionaries, arrays, strings 4
CO4 To understand and implement the fundamentals of functions, recursion 3,5
CO5 To learn and apply the concepts of looping and conditional statements 3
CO6 To learn and implement the fundamentals of searching and sorting 3
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 2 2 3 2
CO2 3 2 1 2 2 3 3
CO3 2 2 2 2 2 3 3
CO4 3 3 1 2 2 3 2
CO5 3 2 2 2 2 3 3
CO6 2 2 1 2 2 3 3
AVG 2.6 2.1 1.4 2  –  – 2 3 2.6
COs Object Oriented Programming Lab (PC-CS-AIML-215LA) /Third Semester BL
CO1 Implement object oriented concepts such as objects, class 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 function to achieve Run time polymorphism. 3
CO5 Implement the various functions on String. 3
CO6 Apply I/O operation to handle file system. 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
CO5 3 3 1 2 1 3 2
CO6 3 3 2 2 1 3 2
AVG 3 2.5 2.2 2 2 1 3 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
CO5 Write pertinent seminar reports and make effective seminar presentations 3
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
CO5 2 2 3 3
AVG 2 2.33 2 3 3
Second Year (4th Semester)
COs BS-CS-AIML 202M  :Mathematics for Machine Learning / FOURTH Semester BL
CO1 To understand the basic concepts of data science and machine learning concepts and their application in 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 problems. 4
CO4 To learn the essential tools of matrices and linear algebra including linear transformation, eigen values, diagonalization ,orthogonalization and factorization 3
CO5 To learn mathematical modelling, types of matrices 2
CO6 To implement mathematical concepts using real world data 1
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
CO5 2 3 3 3 2  –  – 2 2 1
CO6 3 3 3 3 3  –  – 2 3 2
AVG 2.3 3 2.6 3 2.5 2 2.5 2
COs PC-CS-AIML 204A  :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
CO5 Identify the characteristics and architectures of algorithms of multi agent systems 6
CO6 Identify different application areas of Intelligent Systems 5
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
CO5 2 3 3 3 3  –  – 2 2 1
CO6 1 2 2 2 3  –  – 2 1 1
AVG 1.3 2.3 2.5 2.3 2.8 2 2.3 1.8
COs PC-CS-AIML 208A  : Internet and Web Technology BL
CO1 Learn the basic concepts of information and web architecture 2
CO2 Learn about the skills that will enable to design and build high level web enabled applications 2
CO3 Understand the necessary web languages : HTML5 ,XHTML5 4
CO4 Understand the design , formatting and animations with Cascading style sheets 2
CO5 Understand the applicability of Java Script as per current software industry standards 4
CO6 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 1 2 2 2 2  –  – 3 1 1
CO2 2 3 3 2 3  –  – 3 3 2
CO3 1 0 2 0 2  –  – 3 1 2
CO4 1 1 2 1 3  –  – 3 1 1
CO5 1 2 2 1 3  –  – 3 1 1
CO6 1 2 2 2 3  –  – 3 2 2
AVG 1.1 2 2.1 1.6 2.6 3 1.5 1.5
COs PC-CS-AIML 210A  : Operating System / FOURTH Semester BL
CO1 To understand the structure and functions of Operating system 1
CO2 To learn about  CPU scheduling algorithms 2
CO3 To learn about threads ,process and process management 4
CO4 To understand the principle of concurrency and the concept of deadlocks. 2
CO5 To understand various memory management scheme and to study I/O management and file systems 2
CO6 To learn about protection ,security and authentication 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 2 1 2 3  –  – 3 3 1
CO4 2 3 2 3 3  –  – 3 3 2
CO5 2 3 2 3 2  –  – 3 3 1
CO6 1 2 3 2 3  –  – 3 3 1
AVG 2 2.5 1.8 2.3 2.6 3 3 1.1
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 Illustrate concept of functional dependencies and determine normalization. 2
CO5 Explain the concept of Transaction Processing.
CO6 Elaborate the concept of Concurrency control and Failure Recovery.
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 0 0 0  –  –  – 2 3 0
CO2 3 2 2 1  –  –  – 2 3 0
CO3 3 3 3 3  –  –  – 2 3 2
CO4 3 2 2 2  –  –  – 2 3 2
CO5 3 2 2 3  –  –  – 2 3 0
CO6 3 2 2 3  –  –  – 2 3 0
AVG 3 2.2 2.2 2.4 2 3 2
COs PC-CS-AIML-212A : Software Engineering BL
CO1 To understand the basic concepts of Software Engineering 4
CO2 To unnderstand and compare the different software development life cycle models available 6
CO3  To understand the fundamental concept of requirements engineering and Analysis Modelling 3
CO4 To understand the different design techniques and their implementation 5
CO5 To understand the fundamentals of software construction 3
CO5 To learn about software testing and maintenance measures
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 2 2 3 2 3  –  – 3 2 1
CO3 3 2 2 2 3  –  – 2 2 1
CO4 2 2 3 2 3  –  – 3 3 1
CO5 2 1 3 1 3  –  – 3 2 1
CO6 2 2 2 1 3  –  – 3 1 1
AVG 2.3 1.8 2.6 1.5 3 2.6 2 1
COs PC-CS-AIML-216A : Database Management Systems lab/ FOURTH Semester BL
CO1 Implement the basic DDL commands 2
CO2 Implement DCL and DML commands. 6
CO3 Apply various SQL queries using SQL operators. 2
CO4 Demonstrate the concept of relational algebra. 3
CO5 Create queries using date and group functions and elaborate nested queries. 2
CO6 Construct views, cursor and triggers. 2
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 0
CO5 3 3 3 3 2  –  – 2 3 3
CO6 3 3 3 3 2  –  – 2 3 1
AVG 3 2.6 2.8 2.6 2 2 3 2.6
COs PC-CS-AIML-218A : Internet and Web Technology Lab / FOURTH Semester BL
CO1 To understand the basics of web designs 2
CO2 To learn about HTML ,CSS implementation 2
CO3 Design webpages using HTML,CSS and Javascript 3
CO4 Design and test simple function/program to implement Searching and sorting techniques using Python 5
CO5 Develop program in Java Script for pattern matching using regular expressions and errors in scripts. 2
CO6 Design client-server based web applications 6
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 1 1 2 1 3  –  – 2 2 2
CO2 1 1 2 1 3  –  – 3 1 2
CO3 1 2 3 1 3  –  – 2 2 2
CO4 1 2 3 2 3  –  – 2 2 3
CO5 1 3 3 2 3  –  – 2 2 2
CO6 2 3 3 2 3  –  – 3 2 3
AVG 1.16 2 2.6 1.5 3 2.3 1.8 2.3
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
CO5 To learn and apply concepts of distribution and hypothesis 2
CO6 To understand and implement various data visualization concepts
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
CO5 2 3 2 3 3  –  – 3 3 1
CO6 1 2 1 2 3  –  – 2 2 1
AVG 1.3 2.3 1.6 2.1 2.8 2.5 1.8 1.8
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 eco system 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
CO5 To learn about the social issues and environment 4
CO6 To learn about environmental pollution ,solid waste management and various case studies of pollution
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
CO5 3 2 2 2 3 3
AVG 2.6 2.6 2.2 1.75 2 3 3
Third Year (5th Semester)
COs Design and Analysis of Algorithms (PC-CS-AIML-303A) / FIFTH Semester BL
CO1 Identify appropriate data structure as applied to specific problem domain and examine computational complexities. 4
CO2 Illustrate Dynamic programming strategies and Greedy strategies. 2
CO3 Determine and distinguish the concept of Advance data structures. 4
CO4 Examine various graph algorithms and their complexities. 3
CO5 Outline the basic concepts of computational complexities. 2
CO6 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 2 3 3
CO2 3 2 2 2 3 3
CO3 3 2 2 3 3 3
CO4 3 2 3 2 3 3
CO5 2 2 3 3 3 3
CO6 2 2 3 2 3 3
AVG 2.66 2 2.5 2.33 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
CO5 Synthesize efficient algorithms in common engineering design situations. 6
CO6 Redefine the existing algorithm to improve the efficiency 5
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
CO5 3 2 3 2 1 3 3
CO6 3 2 3 3 1 3 3
AVG 2.33 2.16 2.67 2.33 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
CO5 Analyze the limitations of computational models and possible methods of proving them. 4
CO6 Apply Automata Theory concepts in engineering applications like designing of compilers. 3
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 3 3 1 1 2 1
CO2 3 3 3 1 1 2 1
CO3 3 3 3 2 2 2 2
CO4 3 3 3 2 2 2 1
CO5 3 3 3 2 2 3 3
CO6 3 2 3 2 2 3 3
AVG 3 2.8 3 1.6 1.6 2.3 1.8
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
CO5 Explain the Direct Memory Access Transfer and CPU-IOP communication. 2
CO6 Explain and Summarize Asynchronous Serial Transfer. 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
CO5 3 2 2 2 2 2
CO6 3 2 2 2 2 2
AVG 2.83 2 2.4 2 2 2 2
COs Energy Resource and Management (MC-904A) / Fifth Semester BL
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 1
CO2 3 2 2 2 2 1
CO3 3 2 2 2 2 1
CO4 2 2 2 2 1
AVG 2.25 2 2 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
CO5 Write pertinent seminar reports and make effective seminar presentations 3
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
CO5 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 data Visualization. 3
CO5 To implement the clustering algorithms. 2
CO6 To implement the classification based on Scikit Library. 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 2 3 3 2 3 3
CO5 3 1 3 3 2 3 3
CO6 3 1 2 1 2 3 3
AVG 3 2 2.16 2 2 3 3
COs Computer Networks (ES-CS-AIML-305A) / fifth Semester BL
CO1 Outline the basic concept of networking, types, networking topologies and layered architecture. 2
CO2 Explain data link layer and MAC sub-layer. 2
CO3 Demonstrate the network Layer functioning. 3
CO4 Identify the different types of network devices and their functions within a network. 5
CO5 Explain the transport layer and application layer operation. 2
CO6 Design and maintenance of individual networks 6
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 3 2 2 2 2 1
CO5 3 2 2 2 2 2
CO6 3 2 3 3 2 2 2
AVG 3 2.16 2.16 2.16 2 2 0.5
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 knowledge of  types of Artificial neural networks 2
CO3 To understand the algorithms of special Artificial neural networks and their applications 5
CO4 To imprise about the different architecture of Neural networks 4
CO5 To learn about the implementations ofalgorithms RNN, CNN, LSTM in diverse research areas to solve real-world problems. 2
CO6 To understand the usability of types of deep Learning algorithms like RNN, CNN, LSTM
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
CO5 3 2 3 3 2 2 3 3
CO6 3 3 3 3 2 2 3 3
AVG 3 2.66 2.33 2.33 2.33 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
CO5 To implement Data visualization and Scikit Library. 4
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
CO5 3 2 2 3 2 3 3
AVG 2.6 2.6 2.2 1.75 3 2 3 3
COs Artificial Intelligence and Machine Learning  (PC-CS-AIML-311A) / fifth Semester BL
CO1 Demonstrate Fundamental understanding of Artificial Intelligence and its foundation. 3
CO2 Demonstrate basic concept of problem solving and searching. 6
CO3 Demonstrate basic concept of applying AI Techniques to solve uncertainty and Natural language processing. 6
CO4 Apply basic principles of AI in solutions that require real word knowledge representation and learning. 3
CO5 Demonstrate proficiency in applying scientific method to models of machine learning. 3
CO6 Apply basic principles of ML algorithms and models, Regression, classification and clustering. 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 3 2 2 3 3
CO3 3 2 2 2 2 3 3
CO4 3 3 2 2 2 3 3
CO5 3 1 1 3 2 3 3
CO6 3 2 3 2 3 3 3
AVG 3 2 2 2.16 2.16 3 3
Third Year (6th Semester)
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
CO5 To analyze current trends and emerging technologies in the field of Human-Computer Interaction. 5
CO6 Apply usability evaluation techniques to assess the effectiveness, efficiency, and satisfaction of interactive systems. 3,6
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
CO5 3 1 1 1 3 3
CO6 3 1 3 1 1 3 3
AVG 3 1.83 2.1 1 1.25 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 Identify the state sequence and evaluate a sequence emission probability from given HMM. 5
CO5 To learn and apply unsupervised machine learning technique 3
CO6 To develop and understanding of where and how machine can be used. 2,6
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 3 3 3 3 3
CO5 3 3 1 2 1 3 3
CO6 3 3 1 2 1 3 3
AVG 3 3 2.1 2.33 1.67 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
CO5 Application of professional aspects in multi-disciplinary approach to meet global standards towards design, realizing and manufacturing. 6
CO6 The student will be able to assess the applicability, strengths, and weaknesses of the basic knowledge representation 5
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
CO5 3 3 3
CO6 3 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
CO5 List a range of different software testing techniques and strategies and be able to apply specific(automated) unit testing method to the projects. 4
CO6 Demonstrate the integration testing which aims to uncover interaction and compatibility problems as early as possible 2
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
CO5 3 2 2 2 2 3
CO6 3 2 2 2 2 3
AVG 3 2 2 1.67 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 developed 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
CO5 Conduct pattern analysis and identify patterns within data, especially in the context of image analysis. 4
CO6 Explore the integration of machine learning algorithms for tasks such as classification and feature extraction. 3
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
CO5 1 1 3 3 3
CO6 1 1 2 3 3
AVG 2 1.75 1.75 2 3 2 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
CO5 Be ready for personal interview through mock interviews and has knowledge of various interviews. 5
CO6 Develop effective interpersonal communication skills essential for collaboration, teamwork, and effective interaction in workplace environments. 3
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
CO5 3 3 3 2 2
CO6 1 1 1 2 3 3 1 1
AVG 2 1 1.5 2.2 3 3 1.3 1.3
COs Applied Machine learning lab (PC-CS-AIML-312A ) /Sixth Semester 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
CO5 Design and develop the code for recommender system using Natural Language processing 3
CO6 Understand the basic concepts of deep neural network model and design the same. 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
CO5 1 2 2 1 3 2 3 3
CO6 1 1 2 3 3
AVG 1.5 1.5 1.5 1.66 1.8 1 3 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
CO5  To comprehend the fundamentals of Natural Language Processing 2,3
CO6 To introduce and discuss the basic concepts of AI Techniques and Learning. 1,6
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 3 3 3  –  –  – 3 3
CO2 2 0 2 2  –  –  – 3 3
CO3 2 0 2 2  –  –  – 3 3
CO4 2 2 2 0  –    –  –  – 3 3
CO5 1 2 2 1  –  –  – 3 3
CO6 2 3 2 1  –  –  – 3 3
AVG 2 2.5 2.1 1.8 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
CO5 To ensure the safety software meets the requirements for the new versions of software are verified and validated does not perform any unintended functions 4
CO6 To evaluate relevant abnormal conditions for mitigating unintended functions through testing, observation, or inspection techniques 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
CO5 1 2 2 2 3
CO6 3 2 3 2 2 3
AVG 2.16 2 2.22 2 2.16  1 2 3
Final Year (7th Semester)
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 comprehend concepts of Data Visualization. 2
CO3 To perform basics statistical analysis Using R. 4
CO4 To Apply basic tools to carry out Exploratory data analysis. 2,3
CO5 To understand basic data types and operations using R. 2
CO6 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 2 2 2 3 2 2
CO3 3 3 3 2 1 3 2 2
CO4 3 3 2 2 3 3 2 2
CO5 3 2 2 2 3 3 3 2
CO6 3 2 3 3 3 3 2 3
AVG 3 2.5 2.4 2.2 2.4  3 2 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
CO5 To do analysis of Co-variance ANOVA. 2
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
CO5 2 2 3 3 1 3
AVG 2.8 1.6 1 1 3  –  3 2.2 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
CO5 To understand possibility theory, fuzzy sets, and fuzzy logic. 4
CO6 Ability to design and implement expert systems and decision support systems. 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
CO5 3 2 2 2 2 2 3 3
CO6 3 3 3 3 3 2 3 3
AVG 3 2.6 2.6 2.8 2.8  2.6 3 3
COs Working with Raspberry Pi and Arduino Platform (PE-CS-AIML- 425 A) / Seventh Semester BL
CO1 To learn basic concept of digital electronics, embedded system, microcontroller and microprocessor. 3
CO2 To have an insight of IOT fundamentals. 3
CO3 To know the use of Arduino and its basic concepts. Also understand the various Arduino based projects. 3
CO4 To understand the raspberry Pi and its working 3,4
CO5 To understand python programming basics and Numpy library 3
CO6 To Apply programming and hardware interfaces with Raspberry Pi and various projects. 3
COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
CO1 3 1 2 3 3
CO2 2 2 3 2 3 3
CO3 3 3 3 3 2 3 3
CO4 3 1 2 2 3 3
CO5 3 2 2 2 3 3
CO6 3 3 3 3 2 3 3
AVG 2.83 2 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
CO5 To be able to set up GPIO control for Light Switch Project. 3
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
CO5 3 3 2 3 3 3 3 3
AVG 3 2.6 2.6 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
CO5 Contribute effectively as a team member or leader to manage the project timeline 6
CO6 Write pertinent project reports and make effective Project Presentations 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
CO5 3 3 3 3
CO6 3 3 3
AVG 3 3 3 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
CO5 To be Capable to design and implement a vectorizing compiler.
CO6 To Understand the concept of pipelining in computer architecture and its historical context. 3
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
CO5 3 2 2 2 2 2 1
CO6 3 1 1 1 2 2 1
AVG 2.83 2 2 1.8 1.66 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
CO5 Write pertinent seminar reports and make effective seminar presentations 3
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
CO5 1 3 2
AVG 1 3 3 1 2
Final Year (8th Semester)
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 learn the basics of sub-gradient based methods. 1
CO4 To apply the operator’s splitting methods. 3,6
CO5 To know about stochastic and non-convex optimization dual averaging. 2
CO6 To know about basics of deep learning 1,2
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
CO5 3 3 2 2 3 2 2 3
CO6 3 3 2 2 3 2 2 3
AVG 3 2.83 1.66 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
CO5 Demonstrate the role of support institutions and management of small business. 5
CO6 Analyze the suitable government schemes supporting entrepreneurship. 4
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
CO5 2
CO6 1
AVG 2 1.5 1.5 1.5 1.8
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 and apply different types of image processing techniques used for image  sharpening and smoothing. 2,3
CO3 To analyze different types of segmentation techniques. 4
CO4 To understand the nature and inherent difficulties of the pattern recognition  problems. 5
CO5 Understand concepts, trade-offs, and appropriateness of the different feature  types and classification techniques such as Bayesian, maximum likelihood, etc. 4,5
CO6 To understand dimension reduction methods. 2
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
CO5 3 3 2 2 3 2 2 3
CO6 3 2 2 2 3 2 2 3
AVG 3 2.16 1.5 1.5 3 2 2 3
COs Neural Network and Fuzzy Logic systems (PE-CS-AIML-420A) / Eighth Semester BL
CO1 To learn the basics of artificial neural networks concepts, various neural networks architecture 1,2
CO2 Apply learning methods on perceptron and back propagation on Neural Network. 3
CO3 To understand concepts of  fuzzy logic and its applications.. 2,4
CO4 To Understanding reasoning and fuzzy logic for artificial intelligence. 2
CO5 To Students will be able to learn defuzzification and fuzzy measures. 1
CO6 To understand various application problems 4,5
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
CO5 3 2 2 2 3 2 2 3
CO6 3 3 3 3 3 2 2 3
AVG 3 2.16 2.16 2.16 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 technique. 4
CO4 To understand the concept of semantic networks. 2
CO5 To identify/explain various applications of NLP. 4,5
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
CO5 3 2 2 2 3 2 2 3
AVG 3 1.8 1.6 1.4 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 Implement various stochastic and non-convex optimization methods in machine learning 3,6
CO5 Understand and implement genetic algorithms. 4,6
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
CO5 3 3 3 3 3 2 2 3
AVG 3 2.4 2.4 2.2 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
CO5 Contribute effectively as a team member or leader to manage the project timeline. 6
CO6 Write pertinent project reports and make effective Project Presentations. 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
CO5 3 3 3
CO6 3
AVG 3 3 3 3 3 3 3 3 3 3 2.6 3 3
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