Learning Outcomes
Program Educational Objectives (PEOs)
- PEO1 : To develop competent computer engineer who can be an entrepreneur, industrialist, or excellent employee.
- PEO2 : To produce motivated and committed graduates with lifelong attitude & multidisciplinary thinking.
- PEO3 : Able to built solutions for social challenges by applying fundamentals & disruptive technologies.
- PEO4 : To prepare the graduates with strong managerial and communication skills to work effectively as individual as well as in teams.
Program Specific Outcomes (PSO's)
- PSO1 : Professional Skills-The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexities.
- PSO2 : Problem-Solving Skills- The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver a quality product for business success.
- PSO3 : Successful Career and Entrepreneurship- The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur, and a zest for higher studies.
Programme Outcomes (POs)
Students are expected to know and be able to –
- Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
- Problem Analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design / development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research – based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability:Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
- Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-long learning:Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Programme Specific Outcomes (PSOs)
A graduate of the Computer Engineering Program will be able to-
- Understand and apply recent technology trends and modern tools in diverse areas like Cybersecurity, High-Performance Computing, IoT, Web Design, AI/ML, Data Science, etc.
- Identify and solve real-world problems with software engineering principles and cater to project-based learning through experiential and industrial exposure.
Course Outcomes (COs)
| First-Year | |
| Course Code and Name: 110005 - Programming and Problem Solving | |
| 110005.1 | Inculcate and apply various skills in problem solving |
| 110005.2 | Choose most appropriate programming constructs and features to solve the problem in diversified domains |
| 110005.3 | Understand and apply basics, features and future of python programming to solve real-world problem |
| 110005.4 | Exhibit the programming skills for the problem that require the writing of well-documented programs including use of logical constructs of language, Python |
| 110005.5 | Apply concept of Object Oriented Programming using Python to solve complex problems |
| 110005.6 | Demonstrate significant experience with the Python program development environment |
| Second Year | |
| Course code and Name: 210241 - Discrete Mathematics | |
| 210241.1 | Formulate problems precisely, solve the problems, apply formal proof techniques, and explain the reasoning clearly. |
| 210241.2 | Apply appropriate mathematical concepts and skills to solve problems in both familiar and unfamiliar situations including those in real-life contexts. |
| 210241.3 | Design and analyze real world engineering problems by applying set theory, propositional logic and to construct proofs using mathematical induction |
| 210241.4 | Specify, manipulate and apply equivalence relations; construct and use functions and apply these concepts to solve new problems. |
| 210241.5 | Calculate numbers of possible outcomes using permutations and combinations; to model and analyze computational processes using combinatorics |
| 210241.6 | Model and solve computing problems using tree and graph and solve problems using appropriate algorithms. |
| 210241.7 | Analyze the properties of binary operations, apply abstract algebra in coding theory and evaluate the algebraic structures. |
| Course code and Name: 210242 - Fundamentals of Data Structure | |
| 210242.1 | To analyze a detailed understanding of behaviour of data structures like array, linked list, stack, and queue by developing programs. |
| 210242.2 | To analyze appropriate algorithmic strategy for better efficiency. |
| 210242.3 | To design data searching and sorting techniques. |
| 210242.4 | To discriminate the usage of various structures in approaching the problem solution. |
| 210242.5 | To analyze and use effective and efficient data structures in solving various Computer Engineering domain problems. |
| 210242.6 | To design the algorithms to solve the programming problems. |
| Course code and Name: 210243 - Object Oriented Programming | |
| 210243.1 | Apply constructs- sequence, selection and iteration; classes and objects, inheritance, use of predefined classes from libraries while developing software |
| 210243.2 | Design object-oriented solutions for small systems involving multiple objects. |
| 210243.3 | Use virtual and pure virtual functions and complex programming situations. |
| 210243.4 | Apply object-oriented software principles in problem solving. |
| 210243.5 | Analyze the strengths of object-oriented programming. |
| 210243.6 | Develop the application using object oriented programming language (C++). |
| Course Code and Name: 210244- Compute Graphics | |
| 210244.1 | Identify the basic terminologies of Computer Graphics and interpret the mathematical foundation of the concepts of computer graphics. |
| 210244.2 | Apply mathematics to develop Computer programs for elementary graphic operations. |
| 210244.3 | Illustrate the concepts of windowing and clipping and apply various algorithms to fill and clip polygons. |
| 210244.4 | Understand and apply the core concepts of computer graphics, including transformation in two and three dimensions, viewing and projection |
| 210244.5 | Understand the concepts of color models, lighting, shading models and hidden surface elimination. |
| 210244.6 | Create effective programs using concepts of curves, fractals, animation and gaming |
| Course Code and Name: 210245- Digital Electronics and Logic Design 210248- Digital Electronics Lab | |
| 210245.1 | Simplify Boolean Expressions using K Map. |
| 210245.2 | Design and implement combinational circuits |
| 210245.3 | Design and implement sequential circuits. |
| 210245.4 | Develop simple real-world applications using ASM and PLD |
| 210245.5 | Choose appropriate logic families IC packages as per the given design specifications |
| 210245.6 | Explain organization and architecture of computer system |
| 210248.1 | Design and implement hardware circuits for combinational and sequential circuits to test performance. |
| Course Code and Name: 210246 - Data Structures Laboratory | |
| 210246.1 | Implement/Apply effective and efficient data structures such as array, queue, stack and linked list in solving various Computer Engineering domain problems. |
| 210246.2 | Apply various data searching and sorting methods & can determine time complexity. |
| Course Code and Name: 210247 - OOP and Computer Graphics Laboratory | |
| 210247.1 | Understand and apply the concepts like inheritance, polymorphism, exception handling and generic structures for implementing reusable programming codes |
| 210247.2 | Analyze the concept of file and apply it while storing and retrieving the data from secondary storage |
| 210247.3 | Analyze and apply computer graphics algorithms for line-circle drawing, scan conversion and filling with the help of object oriented programming concepts. |
| 210247.4 | Understand the concept of windowing and clipping and apply various algorithms to fill and clip polygons. |
| 210247.5 | Apply logic to implement, curves, fractals, animation and gaming programs. |
| Course Code and Name: 210249 - Business Communication Skills | |
| 210249.1 | Express effectively through verbal/oral communication and improve listening skills |
| 210249.2 | Write precise briefs or reports and technical documents. |
| 210249.3 | Prepare for group discussion / meetings / interviews and presentations. |
| 210249.4 | Explore goal/target setting, self-motivation and practicing creative thinking |
| 210249.5 | Operate effectively in multi-disciplinary and heterogeneous teams through the knowledge of team work, Interpersonal relationships, conflict management and leadership qualities |
| Course code and Name: 210250 - Humanity and Social Science | |
| 210250.1 | Aware of various issues concerning humans and society |
| 210250.2 | Aware of their responsibilities towards society |
| 210250.3 | Sensitized about broader issues regarding the social, cultural, economic and human aspects involved in social changes |
| 210250.4 | Able to understand the nature of the individual and the relationship between the self and the community |
| 210250.5 | Able to understand major ideas, values, beliefs and experiences that have shaped human history and culture |
| Course code and Name: 210251 - Audit Course 3-1 Green Construction and Design | |
| 210251.1 | To understand the importance of environment friendly society |
| 210251.2 | To apply primary measures to reduce carbon emissions from their surroundings. |
| 210251.3 | To learn the role of IT solutions in the design of green buildings. |
| 210251.4 | To understand the use of software systems to complete statutory compliances involved in the design of a new home or office building through green construction. |
| Course code and Name: 207003- Engineering Mathematics III | |
| 207003.1 | Solve Linear differential equations, essential in modelling and design of computer-based systems. Apply the assembly language programming to develop small real life embedded application |
| 207003.2 | Apply concept of Fourier transform and Z-transform and its applications to continuous and discrete systems and image processing. |
| 207003.3 | Apply Statistical methods like correlation and regression analysis and probability theory for data analysis and predictions in machine learning. |
| 207003.4 | Solve Algebraic and Transcendental equations and System of linear equations using numerical techniques. |
| 207003.5 | Obtain Interpolating polynomials, numerical differentiation and integration, numerical solutions of ordinary differential equations used in modern scientific computing. |
| Course code and Name: 210252 - Data Structures and Algorithms | |
| 210252.1 | Identify and articulate the complexity goals and benefits of a good hashing scheme for real- world applications. |
| 210252.2 | Apply non-linear data structures for solving problems of various domain. |
| 210252.3 | Design and specify the operations of a nonlinear-based abstract data type and implement them in a high-level programming language. |
| 210252.4 | Analyze the algorithmic solutions for resource requirements and optimization |
| 210252.5 | Use efficient indexing methods and multi way search techniques to store and maintain data. |
| 210252.6 | Use appropriate modern tools to understand and analyze the functionalities confined to the secondary storage. |
| Course code and Name: 210253 – Software Engineering | |
| 210253.1 | Analyze software requirements and formulate design solution for a software. |
| 210253.2 | Design applicable solutions in one or more application domains using software engineering approaches that integrate ethical, social, legal and economic concerns. |
| 210253.3 | 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. |
| 210253.4 | Model and design User interface and component-level. |
| 210253.5 | Identify and handle risk management and software configuration management. |
| 210253.6 | Utilize knowledge of software testing approaches, approaches to verification and validation. |
| 210253.7 | 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. |
| Course code and Name: 210254 – Microprocessor | |
| 210254.1 | Exhibit skill of assembly language programming for the application. |
| 210254.2 | Classify Processor architectures. |
| 210254.3 | Illustrate advanced features of 80386 Microprocessor. |
| 210254.4 | Compare and contrast different processor modes. |
| 210254.5 | Use interrupts mechanism in applications |
| 210254.6 | Differentiate between Microprocessors and Microcontrollers. |
| 210254.7 | Identify and analyze the tools and techniques used to design, implement, and debug microprocessor-based systems. |
| Course code and Name:210255 –Principles of Programming Languages | |
| 210255.1 | Make use of basic principles of programming languages. |
| 210255.2 | Develop a program with Data representation and Computations. |
| 210255.3 | Develop programs using Object Oriented Programming language: Java. |
| 210255.4 | Develop applications using inheritance, encapsulation, and polymorphism. |
| 210255.5 | Demonstrate Multithreading for robust application development. |
| 210255.6 | Develop a simple program using basic concepts of Functional and Logical programming paradigm. |
| Course code and Name:210256–Data Structures and Algorithms Laboratory | |
| 210256.1 | Understand the ADT/libraries, hash tables and dictionary to design algorithms for a specific problem. |
| 210256.2 | Choose most appropriate data structures and apply algorithms for graphical solutions of the problems. |
| 210256.3 | Apply and analyze non-linear data structures to solve real-world complex problems. |
| 210256.4 | Apply and analyze algorithm design techniques for indexing, sorting, multi-way searching,file organization and compression. |
| 210256.5 | Analyze the efficiency of a most appropriate data structure for creating efficient solutions for engineering design situations. |
| Course code and Name:210257- Microprocessor Lab | |
| 210257.1 | Understand and apply various addressing modes and instruction sets to implement assembly language programs |
| 210257.2 | Apply logic to implement code conversion |
| 210257.3 | Analyze and apply logic to demonstrate processor mode of operation |
| Course code and Name:210258- Project Based Learning II | |
| 210258.1 | Identify the real-life problem from a societal need point of view |
| 210258.2 | Choose and compare alternative approaches to select most feasible one |
| 210258.3 | Analyze and synthesize the identified problem from a technological perspective |
| 210258.4 | Design a reliable and scalable solution to meet challenges |
| 210258.5 | Evaluate the solution based on the criteria specified |
| 210258.6 | Inculcate long-life learning attitude toward the societal problems |
| Course code and Name:210259- Code of Conduct | |
| 210259.1 | Understand the basic perception of profession, professional ethics, various moral and social issues, industrial standards, code of ethics and role of professional ethics in engineering field. |
| 210259.2 | Aware of professional rights and responsibilities of an engineer, responsibilities of an engineer for safety and risk-benefit analysis. |
| 210259.3 | Understand the impact of the professional Engineering solutions in societal and Environmental contexts, and demonstrate the knowledge of, and need for sustainable development. |
| 210259.4 | Acquire knowledge about various roles of engineers in variety of global issues and able to apply ethical principles to resolve situations that arise in their professional lives. |
| Third Year | |
| Course Code and Name: 310241: Database Management Systems | |
| 310241.1 | Analyze and design Database Management System using ER model |
| 310241.2 | Implement database queries using database languages |
| 310241.3 | Normalize the database design using normal forms |
| 310241.4 | Apply Transaction Management concepts in real-time situations |
| 310241.5 | Use No SQL databases for processing unstructured data |
| 310241.6 | Differentiate between Complex Data Types and analyze the use of appropriate data type |
| Course Code and Name: 310242: Theory of Computation | |
| 310242 .1 | Understand formal language, translation logic, essentials of translation, alphabets, and language representation and apply it to design Finite Automata and its variants |
| 310242 .2 | Construct regular expression to present regular language and understand pumping lemma for RE |
| 310242 .3 | Design Context-Free Grammars and learn to simplify the grammar |
| 310242 .4 | Construct Pushdown Automaton model for the Context Free Language |
| 310242 .5 | Devise Turing Machine for the different requirements outlined by theoretical computer science |
| 310242 .6 | Analyze different classes of problems, and study concepts of NP-completeness |
| Course Code and Name: 310243- Systems Programming and Operating System | |
| 310243.1 | Classify system software and application software. |
| 310243.2 | Analyze and design system software. |
| 310243.3 | Illustrate and synthesize various compilation tools like LEX, YACC. |
| 310243.4 | Recognize various roles and responsibilities of OS. |
| 310243.5 | Demonstrate and apply knowledge for the development of OS functionalities |
| 310243.6 | Investigate and design complex software tools through effective teamwork. |
| Course Code and Name: 310244- Computer Networks and Security | |
| 310244.1 | Summarize fundamental concepts of Computer Networks, architectures, protocols, and technologies |
| 310244.2 | Illustrate the working and functions of the data link layer |
| 310244.3 | Analyze the working of different routing protocols and mechanisms |
| 310244.4 | Implement client-server applications using sockets |
| 310244.5 | Illustrate role of application layer with its protocols, client-server architectures |
| 310244.6 | Comprehend the basics of Network Security |
| Course Code and Name: 310245A- Elective I- Internet of Things and Embedded Systems | |
| 310245A.1 | Understand the fundamentals and need of Embedded Systems for the Internet of Things |
| 310245A.2 | Apply IoT enabling technologies for developing IoT systems |
| 310245A.3 | Apply design methodology for designing and implementing IoT applications |
| 310245A.4 | Analyze IOT protocols for making IoT devices communication |
| 310245A.5 | Design cloud based IoT systems |
| 310245A.6 | Design and Develop secured IoT applications |
| Course Code and Name: 310246- Database Management Systems Laboratory | |
| 310246.1 | Design E-R Model for given requirements and convert the same into database tables |
| 310246.2 | Design schema inappropriate normal form considering actual requirements |
| 310246.3 | Implement SQL queries for given requirements, using different SQL concepts |
| 310246.4 | Implement PL/SQL Code block for given requirements |
| 310246.5 | Implement NoSQL queries using MongoDB |
| 310246.6 | Design and develop applications considering actual requirements and using database concepts |
| Course Code and Name: 310247-Computer Networks and Security Laboratory | |
| 310247.1 | Analyze the requirements of network types, topology and transmission media |
| 310247.2 | Demonstrate error control, flow control techniques and protocols and analyze them |
| 310247.3 | Demonstrate the subnet formation with IP allocation mechanism and apply various routing algorithms |
| 310247.4 | Develop Client-Server architectures and prototypes |
| 310247.5 | Implement web applications and services using application layer protocols |
| 310247.6 | Use network security services and mechanisms |
| Course Code and Name: 310248-Laboratory Practice I | |
| 310248.1 | Implement language translators |
| 310248.2 | Use tools like LEX and YACC |
| 310248.3 | Implement internals and functionalities of Operating System |
| 310248.4 | Design IoT and Embedded Systems based application |
| 310248.5 | Develop smart applications using IoT |
| 310248.6 | Develop IoT applications based on cloud environment |
| Course Code and Name: 310249 – Seminar and Technical Communication | |
| 310249.1 | Identify and Analyze recent topics of any domain |
| 310249.2 | Enhance technical writing skills. |
| 310249.3 | Identify an engineering problem, analyze it and propose a work plan to solve it. |
| 310249.4 | Communicate with professional technical presentation skills and Apply modern documentation tools to write the report |
| Course Code and Name: 310250 - Audit Course 5 Cyber Security | |
| 310250.1 | Understand and classify various cybercrimes |
| 310250.2 | Understand how criminals plan for the cybercrimes |
| 310250.3 | Apply tools and methods used in cybercrime |
| 310250.4 | Analyze the examples of few case studies of cybercrimes |
| Course Code and Name: 310251- Data Science and Big Data Analytics | |
| 310251 .1 | Analyze needs and challenges of Data Science and Big Data analytics. |
| 310251 .2 | Apply statistics to Big Data |
| 310251 .3 | Apply the Life Cycle of Big Data to Real World Problems. |
| 310251 .4 | Implement Big Data analytics with Python Programming. |
| 310251 .5 | Implement Data Visualization using Data Visualization tools in Python Programming. |
| 310251 .6 | Design and implement Big Databases using Hadoop Ecosystem. |
| Course Code and Name: 310252-Web Technology | |
| 310252.1 | Implement and analyze behaviour of web pages using HTML and CSS |
| 310252.2 | Apply the client side technologies for web development |
| 310252.3 | Analyze the concepts of Servlet and JSP |
| 310252.4 | Analyze the Web services and frameworks |
| 310252.5 | Apply the server side technologies for web development |
| 310252.6 | Create the effective web applications for business functionalities using latest web development platform |
| Course Code and Name: 310253 - Artificial Intelligence | |
| 310253.1 | Identify and apply suitable Intelligent agents for various AI applications |
| 310253.2 | Build smart system using different informed search / uninformed search or heuristic approaches |
| 310253.3 | Identify competitive environment and apply different strategies to solve adversarial search problems |
| 310253.4 | Identify knowledge associated and represent it by ontological engineering to plan a strategy to solve given problem |
| 310253.5 | Implement ideas underlying modern logical inference systems |
| 310253.6 | Represent complex problems with expressive yet carefully constrained language of representation |
| Course Code and Name: 310254A: Elective II- Information Security | |
| 310254.1 | Model the cyber security threats and apply formal procedure to defends the attacks. |
| 310254.2 | Apply appropriate cryptographic techniques by learning symmetric & asymmetric key cryptography. |
| 310254.3 | Design & analyse web security solutions by deploying various cryptographic techniques along with data integrity algorithms. |
| 310254.4 | Identify & evaluate Information Security threats & vulnerability in information system & apply security measures to real time scenarios |
| 310254.5 | Demonstrate the use of standards & cyber laws to enhance Information Security in the development process & infrastructure protection. |
| Course Code and Name: 310255 - Internship | |
| 310255 .1 | To demonstrate professional competence through industry internship. |
| 310255 .2 | To apply knowledge gained through internships to complete academic activities in a professional manner |
| 310255 .3 | To choose appropriate technology and tools to solve a given problem. |
| 310255.4 | To demonstrate abilities of a responsible professional and use ethical practices in day to day life. |
| 310255.5 | Creating network and social circle, and developing relationships with industry people |
| 310255.6 | To analyze various career opportunities and decide on carrier goals. |
| Course code and Name: 310256- Data Science and Big Data Analytics Laboratory | |
| 310256.1 | Apply principles of Data Science for the analysis of real time problems |
| 310256.2 | Implement data representation using statistical methods |
| 310256.3 | Implement and evaluate data analytics algorithms |
| 310256.4 | Perform text pre processing |
| 310256.5 | Implement data visualization techniques |
| 310256.6 | Use cutting edge tools and technologies to analyze Big Data |
| Course Code and Name: 310257 - Web Technology Laboratory | |
| 310257.1 | Understand the importance of website planning and website design issues |
| 310257.2 | Apply the client side and server side technologies for web application development |
| 310257.3 | Analyze the web technology languages, frameworks and services |
| 310257.4 | Create three tier web based applications |
| Course Code and Name: 310258: Laboratory Practice II | |
| 310258.1 | Design a system using different informed search / uninformed search or heuristic approaches |
| 310258.2 | Apply basic principles of AI in solutions that require problem solving, inference, perception, knowledge representation, and learning |
| 310258.3 | Design and develop an interactive AI application |
| Course Code and Name: 310259: Leadership and personality development (Audit Course 6) | |
| 310259.1 | Express effectively through communication and improve listening skills |
| 310259.2 | Develop effective team leadership abilities. |
| 310259.3 | Explore self-motivation and practice creative/new age thinking. |
| 310259.4 | Operate effectively in heterogeneous teams through the knowledge of teamwork, people skills, and leadership qualities. |
| Final Year | |
| Course code and Name: 410241 : Design and Analysis of Algorithms | |
| 410241.1 | Formulate the problem |
| 410241.2 | Analyze the asymptotic performance of algorithms |
| 410241.3 | Decide and apply algorithmic strategies to solve given problem |
| 410241.4 | Find optimal solution by applying various methods |
| 410241.5 | Analyze and Apply Scheduling and Sorting Algorithms |
| 410441.6 | Solve problems for multi-core or distributed or concurrent environments |
| Course code and Name: 410242 :Machine Learning | |
| 410242.1 | Identify the needs and challenges of machine learning for real time applications |
| 410242.2 | Apply various data pre-processing techniques to simplify and speed up machine learning algorithms. |
| 410242.3 | Select and apply appropriately supervised machine learning algorithms for real time applications |
| 410242.4 | Implement variants of multi-class classifier and measure its performance. |
| 410242.5 | Compare and contrast different clustering algorithms. |
| 410242.6 | Design a neural network for solving engineering problems. |
| Course code and Name: 410243: Blockchain Technology | |
| 410243.1 | Interpret the fundamentals and basic concepts in Blockchain |
| 410243.2 | Compare the working of different blockchain platforms |
| 410243.3 | Use Crypto wallet for cryptocurrency based transactions |
| 410243.4 | Analyze the importance of blockchain in finding the solution to the real-world problems |
| 410243.5 | Illustrate the Ethereum public block chain platform |
| 410243.6 | Identify relative application where block chain technology can be effectively used and implemented. |
| Course code and Name: Elective III 410244(C): Object oriented Modeling and Design | |
| 410244(C).1 | Describe the concepts of object-oriented and basic class modeling. |
| 410244(C).2 | Draw class diagrams, sequence diagrams and interaction diagrams to solve problems. |
| 410244(C).3 | Choose and apply a befitting design pattern for the given problem |
| 410244(C).4 | To Analyze applications, architectural Styles & software control strategies |
| 410244(C).5 | To develop Class design Models & choose Legacy Systems. |
| 410244(C).6 | To Understand Design Patterns |
| Course code and Name: Elective IV 410245(D): Software Testing and Quality Assurance | |
| 410245(D).1 | Describe fundamental concepts in software testing such as manual testing, automation testing and software quality assurance |
| 410245(D).2 | Design and Develop project test plan, design test cases, test data, and conduct test operations. |
| 410245(D).3 | Apply recent automation tool for various software testing for testing software. |
| 410245(D).4 | Apply different approaches of quality management, assurance, and quality standard to software system |
| 410245(D).5 | Apply and analyze effectiveness Software Quality Tools |
| 410245(D).6 | Apply tools necessary for efficient testing framework. |
| Course code and Name:410246:Laboratory Practice III | |
| 410246.1 | Apply pre processing techniques on datasets. |
| 410246.2 | Implement and evaluate linear regression and random forest regression models. |
| 410246.3 | Apply and evaluate classification and clustering techniques. |
| 410246.4 | .5Analyze performance of an algorithm. |
| 410246.5 | Implement an algorithm that follows one of the following algorithm design strategies: divide and conquer, greedy, dynamic programming, backtracking, branch and bound. |
| 410246.6 | Interpret the basic concepts in Blockchain technology and its applications |
| Course code and Name: 410247:Laboratory Practice IV | |
| 410247.1 | Apply android application development for solving real life problems |
| 410247.2 | Design and develop system using various multimedia components. |
| 410247.3 | Identify various vulnerabilities and demonstrate using various tools. |
| 410247.4 | Apply information retrieval tools for natural language processing |
| 410247.5 | Develop an application using open source GPU programming languages |
| 410247.6 | Apply software testing tools to perform automated testing |
| Course code and Name: 410248:Project Work Stage I | |
| 410248.1 | Solve real life problems by applying knowledge. |
| 410248.2 | Analyze alternative approaches, apply and use most appropriate one for feasible solution |
| 410248.3 | Write precise reports and technical documents in a nutshell. |
| 410248.4 | Participate effectively in multi-disciplinary and heterogeneous teams exhibiting team work |
| 410248.5 | Inter-personal relationships, conflict management and leadership quality. |
| Course code and Name: 410259 Audit Course 7 – I: MOOC-learn New Skill | |
| 410249(I).1 | To acquire additional knowledge and skill. |
| Course code and Name: 410250 - High Performance Computing | |
| 410250.1 | Understand various Parallel Paradigm |
| 410250.2 | Design and Develop an efficient parallel algorithm to solve given problem |
| 410250.3 | Illustrate data communication operations on various parallel architecture |
| 410250.4 | Analyze and measure performance of modern parallel computing systems |
| 410250.5 | Apply CUDA architecture for parallel programming |
| 410250.6 | Analyze the performance of HPC applications |
| Course code and Name: 410251 - Deep Learning | |
| 410251.1 | Understand the basics of Deep Learning and apply the tools to implement deep learning applications |
| 410251.2 | Evaluate the performance of deep learning models (e.g., with respect to the bias-variance trade off, overfitting and underfitting, estimation of test error). |
| 410251.3 | To apply the technique of Convolution (CNN) and Recurrent Neural Network (RNN) for implementing Deep Learning models |
| 410251.4 | To implement and apply deep generative models. |
| 410251.5 | Construct and apply on-policy reinforcement learning algorithms |
| 410251.6 | To Understand Reinforcement Learning Process |
| Course code and Name: 410252 A - LP V Natural Language Processing | |
| 410252.1 | Describe the fundamental concepts of NLP, challenges and issues in NLP |
| 410252.2 | Analyze Natural languages morphologically, syntactical and semantically OR Describe the concepts of morphology, syntax, semantics of natural language |
| 410252.3 | Illustrate various language modeling techniques |
| 410252.4 | Integrate the NLP techniques for the information retrieval task |
| 410252.5 | Demonstrate the use of NLP tools and techniques for text-based processing of natural languages |
| 410252.6 | Develop real world NLP applications |
| Course code and Name: 410253(C) - LP VI Business Intelligence | |
| 410253.1 | Differentiate the concepts of Decision Support System & Business Intelligence |
| 410253.2 | Use Data Warehouse & Business Architecture to design a BI system. |
| 410253.3 | Build graphical reports |
| 410253.4 | Apply different data preprocessing techniques on dataset |
| 410253.5 | Implement machine learning algorithms as per business needs |
| 410253.6 | Identify role of BI in marketing, logistics, and finance and telecommunication sector |
| Course code and Name: 410254 - Laboratory Practice V | |
| 410254.1 | Analyze and measure performance of sequential and parallel algorithms. |
| 410254.2 | Design and Implement solutions for multicore/Distributed/parallel environment. |
| 410254.3 | Identify and apply the suitable algorithms to solve AI/ML problems. |
| 410254.4 | Apply the technique of Deep Neural network for implementing Linear regression and classification. |
| 410254.5 | Apply the technique of Convolution (CNN) for implementing Deep Learning models. |
| 410254.6 | Design and develop Recurrent Neural Network (RNN) for prediction. |
| Course code and Name: 410255 - Laboratory Practice VI | |
| 410255.1 | Apply basic principles of elective subjects to problem solving and modeling. |
| 410255.2 | Use tools and techniques in the area of software development to build mini projects |
| 410255.3 | Design and develop applications on subjects of their choice. |
| 410255.4 | Generate and manage deployment, administration & security. |
| Course code and Name: 410256- Project Work Stage II | |
| 410256.1 | Show evidence of independent investigation |
| 410256.2 | Critically analyze the results and their interpretation. |
| 410256.3 | Report and present the original results in an orderly way and placing the open questions in the right perspective. |
| 410256.4 | Link techniques and results from literature as well as actual research and future research lines with the research. |
| 410256.5 | Appreciate practical implications and constraints of the specialist subject |