D.Y. Patil College of Engineering

Course Outcome for Semester I and Semester II A.Y 2023 - 24 :

Sr. No.	Subjects
Class: SE Discrete Mathematics
1	Design and analyze real world engineering problems by applying set theory, propositional logic and mathematical induction
2	Develop skill in expressing mathematical properties of relation and function
3	Identify number of logical possibilities of events to design professional engineering Solutions
4	Model and solve computing problem using tree and graph Analyze the properties of binary operations and evaluate the algebraic structure
5	Apply abstract algebra in combinatorics, coding theory and questions regarding geometric constructions
Class: SE Fundamentals Of Data Structures
1	To demonstrate a detailed understanding of behaviour of data structures like array, linked list, stack, and queue by developing programs.
2	To use appropriate algorithmic strategy for better efficiency
3	To summarize data searching and sorting techniques.
4	To discriminate the usage of various structures in approaching the problem solution
5	To analyze and use effective and efficient data structures in solving various Computer Engineering domain problems.
6	To design the algorithms to solve the programming problems.
Class: SE Object Oriented Programming
1	Analyze the strengths of object oriented programming
2	Design and apply OOP principles for effective programming
3	Develop the application using object oriented programming language(C++)
4	Apply object-oriented concepts for advanced programming.
Class: SE Computer Graphics
1	Define basic terminologies of Computer Graphics, interpret the mathematical foundation of the concepts of computer graphics and apply mathematics to develop Computer programs for elementary graphic operations
2	Define the concept of windowing and clipping and apply various algorithms to fill and clip polygons.
3	Explain the core concepts of computer graphics, including transformation in two and three dimensions, viewing and projection.
4	Explain the concepts of color models, lighting, shading models and hidden surface elimination
5	Describe the fundamentals of curves, fractals, animation and gaming.
Class: SE Digital Electronics and Logic Design
1	Simplify Boolean Expressions using K Map
2	Design and implement combinational circuits
3	Design and implement sequential circuits
4	Develop simple real-world application using ASM and PLD
5	Choose appropriate logic families IC packages as per the given design specifications
6	Explain organization and architecture of computer system
Class : SE Humanity & Social Science
1	Aware of the various issues concerning humans and society.
2	Aware about their responsibilities towards society.
3	Sensitized about broader issues regarding the social, cultural, economic and human aspects, involved in social changes.
4	Able to understand the nature of the individual and the relationship between self and the community.
5	Able to understand major ideas, values, beliefs, and experiences that have shaped human history and cultures.
Class: SE Engineering Mathematics
1	Solve Linear differential equations, essential in modelling and design of computer-based systems
2	Apply concept of Fourier transform and Z-transform and its applications to continuous and discrete systems and image processing.
3	Apply Statistical methods like correlation and regression analysis and probability theory for data analysis and predictions in machine learning.
4	Solve Algebraic and Transcendental equations and System of linear equations using numerical techniques
5	Obtain Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing
Class: SE Data Structures and Algorithm.
1	Identify and articulate the complexity goals and benefits of a good hashing scheme for real- world applications
2	Apply non-linear data structures for solving problems of various domain
3	Design and specify the operations of a nonlinear-based abstract data type and implement them in a high-level programming language
4	Analyze the algorithmic solutions for resource requirements and optimization
5	Use efficient indexing methods and multiway search techniques to store and maintain data
6	Use appropriate modern tools to understand and analyze the functionalities confined to the secondary storage.

Class : SE Software Engineering
1	Analyze software requirements and formulate design solution for a software
2	Design applicable solutions in one or more application domains using software engineering approaches that integrate ethical, social, legal and economic concerns
3	Apply new software models, techniques and technologies to bring out innovative and novelistic solutions for the growth of the society in all aspects and evolving into their continuous professional development
4	Model and design User interface and component-level.
5	Identify and handle risk management and software configuration management
6	Utilize knowledge of software testing approaches, approaches to verification and validation.
7	Construct software of high quality – software that is reliable, and that is reasonably easy to understand, modify and maintain efficient, reliable, robust and cost-effective software solutions.
Class :SE Microprocessor
1	To apply the assembly language programming to develop small real life embedded application.
2	To understand the architecture of the advanced processor thoroughly to use the resources for programming
3	To understand the higher processor architectures descended from 80386 architecture
Class :SE Principles of Programming Languages
1	Make use of basic principles of programming languages
2	Able to develop a program with Data representation and Computations
3	Able to develop programs using Object Oriented Programming language : Java
4	Develop application using inheritance, encapsulation, and polymorphism
5	Able to demonstrate Applet and Multithreading for robust application development
6	Able to develop a simple program using basic concepts of Functional and Logical programming paradigm
Class: TE Database and Management System.
1	Analyze and design Database Management System using ER model
2	Implement database queries using database languages.
3	Normalize the database design using normal forms.
4	Apply Transaction Management concepts in real-time situations.
5	Use NoSQL databases for processing unstructured data.
6	Differentiate between Complex Data Types and analyze the use of appropriate data types.
Class: TE Theory Of Computation
1	Understand formal language, translation logic, essentials of translation, alphabets, language representation and apply it to design Finite Automata and its variants.
2	Construct regular expression to present regular language and understand pumping lemma for RE.
3	Design Context Free Grammars and learn to simplify the grammar.
4	Construct Pushdown Automaton model for the Context Free Language.
5	Devise Turing Machine for the different requirements outlined by theoretical computer science.
6	Analyze different classes of problems, and study concepts of NP completeness.
Class: TE Systems Programming and Operating Systems
1	Analyze and synthesize basic System Software and its functionality.
2	Identify suitable data structures and Design & Implement various System Software.
3	Compare different loading schemes and analyze the performance of linker and loader.
4	Implement and Analyze the performance of process scheduling algorithms.
5	Identify the mechanism to deal with deadlock and concurrency issues.
6	Demonstrate memory organization and memory management policies.
Class: TE Computer Networks and Security
1	Summarize fundamental concepts of Computer Networks, architectures, protocols and technologies.
2	Illustrate the working and functions of data link layer
3	Analyze the working of different routing protocols and mechanisms.
4	Implement client-server applications using sockets.
5	Illustrate role of application layer with its protocols, client-server architectures.
6	Comprehend the basics of Network Security.
Class: TE Internet of Things and Embedded Systems.
1	Understand the fundamentals and need of Embedded Systems for the Internet of Things.
2	Apply IoT enabling technologies for developing IoT systems
3	Apply design methodology for designing and implementing IoT applications.
4	Analyze IoT protocols for making IoT devices communication.
5	Design cloud based IoT systems.
6	Design and Develop secured IoT applications.
Class: TE Distributed Systems
1	Analyze Distributed Systems types and architectural styles
2	Implement communication mechanism in Distributed Systems.
3	Implement the synchronization algorithms in Distributed System applications
4	Develop the components of Distributed File System.
5	Apply replication techniques and consistency model in Distributed Systems.
6	Build fault tolerant Distributed Systems.
Class: TE Software Project Management.
1	Comprehend Project Management Concepts.
2	Use various tools of Software Project Management.
3	Schedule various activities in software projects
4	Track a project and manage changes
5	Apply Agile Project Management.
6	Analyze staffing process for team building and decision making in Software Projects and Management.
Class: TE Data Science and Big data Analytics
1	Analyze needs and challenges for Data Science Big Data Analytics.
2	Apply statistics for Big Data Analytics
3	Apply the lifecycle of Big Data analytics to real world problems
4	Implement Big Data Analytics using Python programming
5	Implement data visualization using visualization tools in Python programming
6	Design and implement Big Databases using the Hadoop ecosystem
Class: TE Web Technology
1	Implement and analyze behavior of web pages using HTML and CSS
2	Apply the client side technologies for web development.
3	Analyze the concepts of Servlet and JSP.
4	Analyze the Web services and frameworks.
5	Apply the server side technologies for web development
6	Create the effective web applications for business functionalities using latest web development platforms.
Class: TE Artificial Intelligence
1	Identify and apply suitable Intelligent agents for various AI applications
2	Build smart system using different informed search / uninformed search or heuristic approaches
3	Identify knowledge associated and represent it by ontological engineering to plan a strategy to solve given problem
4	Apply the suitable algorithms to solve AI problems
5	Implement ideas underlying modern logical inference systems
6	Represent complex problems with expressive yet carefully constrained language of representation
Class: TE Information Security
1	Model the cyber security threats and apply formal procedures to defend the attacks
2	Apply appropriate cryptographic techniques by learning symmetric and asymmetric key cryptography
3	Design and analyze web security solutions by deploying various cryptographic techniques along with data integrity algorithms.
4	Identify and Evaluate Information Security threats and vulnerabilities in Information systems and apply security measures to real time scenarios.
5	Demonstrate the use of standards and cyber laws to enhance Information Security in the development process and infrastructure protection
Class: TE Cloud Computing
1	Understand the different Cloud Computing environment
2	Use appropriate data storage technique on Cloud, based on Cloud application
3	Analyze virtualization technology and install virtualization software
4	Develop and deploy applications on Cloud
5	Apply security in cloud applications
6	Use advance techniques in Cloud Computing
Class: BE Design and Analysis of Algorithms
1	Formulate the problem
2	Analyze the asymptotic performance of algorithms
3	Decide and apply algorithmic strategies to solve given problem
4	Find optimal solution by applying various methods
5	Analyze and Apply Scheduling and Sorting Algorithms
6	Solve problems for multi-core or distributed or concurrent environments
Class :BE Machine Learning
1	Identify the needs and challenges of machine learning for real time applications
2	Apply various data pre-processing techniques to simplify and speed up machine learning algorithms.
3	Select and apply appropriately supervised machine learning algorithms for real timeapplications.
4	Implement variants of multi-class classifier and measure its performance
5	Compare and contrast different clustering algorithms
6	Design a neural network for solving engineering problems.
Class: BE Blockchain Technology
1	: Interpret the fundamentals and basic concepts in Blockchain
2	Compare the working of different blockchain platforms
3	Use Crypto wallet for cryptocurrency based transactions
4	Analyze the importance of blockchain in finding the solution to the real-world problems
5	Illustrate the Ethereum public block chain platform
6	Identify relative application where block chain technology can be effectively used andimplemented.
Class :BE Cyber Security and Digital Forensics
1	Analyze threats in order to protect or defend it in cyberspace from cyber-attacks
2	Build appropriate security solutions against cyber-attacks.
3	Underline the need of digital forensic and role of digital evidences
4	Explain rules and types of evidence collection
5	Analyze, validate and process crime scenes
6	Identify the methods to generate legal evidence and supporting investigation reports.
Class: BE Software Testing and Quality Assurance
1	Describe fundamental concepts in software testing such as manual testing, automation testingand software quality assurance
2	Design and Develop project test plan, design test cases, test data, and conduct test operations.
3	Apply recent automation tool for various software testing for testing software
4	Apply different approaches of quality management, assurance, and quality standard to softwaresystem.
5	Apply and analyze effectiveness Software Quality Tools
6	Apply tools necessary for efficient testing framework
Class: BE High Performance Computing
1	Understand various Parallel Paradigm
2	Design and Develop an efficient parallel algorithm to solve given problem
3	Illustrate data communication operations on various parallel architecture
4	Analyze and measure performance of modern parallel computing systems
5	Apply CUDA architecture for parallel programming
6	Analyze the performance of HPC applications
Class: BE Deep Learning
1	Understand the basics of Deep Learning and apply the tools to implement deep learningapplications
2	Evaluate the performance of deep learning models (e.g., with respect to the bias-variance tradeoff, overfitting and underfitting, estimation of test error).
3	To apply the technique of Convolution (CNN) and Recurrent Neural Network (RNN) forimplementing Deep Learning models
4	To implement and apply deep generative models
5	Construct and apply on-policy reinforcement learning algorithms
6	To Understand Reinforcement Learning Process
Class: BE Natural Language Processing
1	Describe the fundamental concepts of NLP, challenges and issues in NLP
2	Analyze Natural languages morphologically, syntactical and semantically OR Describe the concepts of morphology, syntax, semantics of natural language
3	Illustrate various language modelling techniques
4	Integrate the NLP techniques for the information retrieval task
5	Demonstrate the use of NLP tools and techniques for text-based processing of natural languages
6	Develop real world NLP applications
Class: BE Pattern Recognition
1	Analyze various type of pattern recognition techniques
2	Identify and apply various pattern recognition and classification approaches to solvethe problems
3	Evaluate statistical and structural pattern recognition
4	Percept recent advances in pattern recognition confined to various applications
5	Implement Bellman‘s optimality principle and dynamic programming
6	Analyze Patterns using Genetic Algorithms & Pattern recognition applications.
Class: BE Business Intelligence
1	Differentiate the concepts of Decision Support System & Business Intelligence
2	Use Data Warehouse & Business Architecture to design a BI system.
3	Build graphical reports
4	Apply different data preprocessing techniques on dataset
5	Implement machine learning algorithms as per business needs
6	Identify role of BI in marketing, logistics, and finance and telecommunication sector

Computer Engineering