Deptartment of Computer Engineering

About

The Department of Computer Engineering was established in 2007 with the vision to create an environment fostering new ideas, research, and technological advancements, preparing tomorrow's technocrats and innovators to meet global challenges. Over the years, the Department of Computer Engineering (CS) at PIET has achieved significant success and numerous accolades.

In 2017-18, the Department earned accreditation from the National Board of Accreditation (NBA), a status that extends through the 2023-24 academic session. This recognition places the department among the elite in India, confirming its adherence to best practices and benchmarks in engineering. This achievement is attributed to dedicated mentors and talented students. The department boasts a strong faculty, with all members holding M. Tech degrees and 40% possessing PhDs. This commitment to outcome-based education and a results-oriented approach attracts top students from within and outside the state. Currently, 642 students are enrolled in the department, maintaining an admission rate consistently above 95% since its inception.

The department is well-equipped with thirteen computer labs, nine classrooms, two electronics labs, and nineteen faculty rooms, including a state-of-the-art online lab for testing and R&D. Known as the largest and most responsible department in the college, it consistently achieves high and encouraging results, converting student efforts into strong job placements.

The Department has the highest placement rate at PIET, with increasing percentages each year. Graduates secure positions at major IT firms like Infosys, TCS, Capgemini, IBM, Evolphin, Nagarro, and Appirio. To maintain its reputation as a consultancy and process management source, the department encourages students to develop innovative projects using cutting-edge technologies. Students work on projects from their first year in fields such as machine learning, cloud computing, data science, big data, Salesforce, IoT, image processing, and industry-oriented projects using PHP, Python, and JAVA. The department hosts an annual project exhibition, “PRAKALP,” showcasing around 60 projects developed under the Non-Syllabus Project (NSP) initiative. This initiative engages second and third-year students in real-world projects using Python and PHP, with final-year students also contributing.

The department is recognized for its innovation and research, with approximately 40% of final-year students publishing review and research papers in smart computation and technology. Faculty members also contribute, publishing two papers each annually.

To promote research and development, the department organizes the International Conferences on Smart Computation and Technology (ICSCT). It also conducts technical seminars and research paper presentations under the mentorship of faculty, alumni, and industry experts. Numerous workshops on new trends and technologies, such as artificial intelligence, Python programming, Android programming, and PHP MySQL, are held to bridge the gap between industry and academia. Courses on IBM Business Intelligence, IBM Cloud Computing, IBM IoT, and Machine Learning are offered to keep students abreast of new technologies. Additionally, the department runs student and faculty development programs with the help of alumni and industry experts.

The department prepares students for placements through various initiatives, including placement drives, coding competitions, aptitude tests, and technical sessions by FACE. Students also participate in national competitions like TCS Codevita and Aspiration 2020. The department fosters societal contributions and transparency in academic processes by launching a web portal for marks allocation and home assignment submissions, alongside other software developed by faculty and students. These efforts have earned the department recognition as the most innovative within the Poornima Foundation under the Innovation Excellence Mission, achieving the highest audit marks among all departments. We have been striving hard in this semester to achieve targets of

HOD Message

about

Dr. Anil Kumar

HOD, Department of Computer Engineering, PIET

The Department of Computer Engineering (CE) was established in the year 2007 with the vision,
“To create an environment in which new ideas, research and technology development and the technocrats and innovators of tomorrow become competent to face the global challenges”. In these academic years department of Computer Engineering, PIET has achieved a lot of success and earned multiple achievements.

The department of CE has been accredited by the National Board of Accreditation (NBA) in the year 2017-18 and got compliance till session 2023. This brings department of CE to the elite list of departments holding NBA accreditation in India. As a result, the PIET CE department is currently recognized for offering the best practices and industry standards in engineering. This achievement is only possible because of the continuous efforts of dedicated mentors and bright students. The department had never compromised on the quality of education and to assure this an adequate number of faculty members and technical assistants were always appointed. The majority of faculty members hold an M.Tech degree as a minimum qualification.

Additionally, 40% of the faculty in the department hold a PhD. The department believes in outcome-based education and a result-oriented approach, which enables us to attract intelligent students available in the state and as well as outside. Currently, 642 students are enrolled in the department. The admission in the department from 2007 to 2022 has been consistent and has always been more than 95%. The department of CE has the best infrastructure, in terms of thirteen computer labs, ten classrooms, 2 Electronic labs and 19 faculty rooms. The department has one state of art online lab for conducting online tests and research and development. With the honour of being the largest and most responsible department in the institute, department of CE has always got the highest result and the result has always been consistent and encouraging. Due to its working methodologies and industry-oriented approach, it has converted the hard work of students into strong placements. The department has got the highest placement in PIET.

In terms of percentage, placement is increasing and many students got placed in big IT Giants like Infosys, TCS, Capgemini, IBM, Evolphin, Nagarro, and Appirio every year. To be recognized by industrial houses as a source of consultancy and process management department always nurture students to develop innovative projects using innovative technologies. Students develop a project in each year of study starting from I year in the field of machine learning, Cloud Computing, Data Science, Big data, sales Force, IoT, image processing and Industry oriented projects using PHP, Python, and JAVA. AICTE sponsored MODROB Deep learning and Neural network Lab with RTX 8000 Quadro GPU is used for project development To showcase projects Department of Computer Engineering organizes a project exhibition “Udhbhav ” every year for students of all years. Computer Engineering, PIET in which around more than 100 projects were developed under NSP. The department holds its position of being the most innovative and research-oriented workplace so around 80% students of final year publish review Research papers in the area of smart computation and technology. Every faculty member publishes at least two papers each year. To encourage and to provide platform one International Conferences on Smart Computation and Technology (ICSCT)and ICIMMI have been organized.

Achivements

Department Faculty

S. N. Name Email: Designation Photo
1Mr. KALU RAM PRAJAPATk.r.prajapat@poornima.orgASST PROFESSOR
2Ms. SHIKHA GAUTAMshikha.gautam@poornima.orgASST PROFESSOR
3Mr. PRADEEP KUMAR NATANIPradeepNatani@poornima.orgASST PROFESSOR
4Mr. RAHUL GUPTArahulgupta.043@poornima.orgASST PROFESSOR
5Mr. DINESH BHATIAdinesh.bhatia@poornima.orgASST PROFESSOR
6Ms. SWATI PALIWALswati.paliwal@poornima.orgASST PROFESSOR
7Dr. RAJNI SHARMArajni.sharma@poornima.orgASSOCIATE PROFESSOR
8Mr. ABHISHEK DADHICHabhishek.dadhich@poornima.orgASST PROFESSOR
9Dr. OMPRAKASH SIKHWALom.sikhwal@poornima.orgPROFESSOR
10Mr. ASHU SHARMAashu.sharma@poornima.orgASST PROFESSOR
11Dr. DINESH GOYALdinesh.goyal@poornima.orgPROFESSOR
12Dr. ANIL KUMARanilkumar@poornima.orgPROFESSOR
13Mr. INDRA KISHORindra.kishor@poornima.orgASST PROFESSOR
14Mr. HARI MOHAN SINGHharimohan.bhati@poornima.orgASST PROFESSOR
15Dr. SHRUTI THAPARshruti.thapar@poornima.orgASSOCIATE PROFESSOR
16Ms. HEMWATI KUMAWAThemwati.kumawat@poornima.orgASST PROFESSOR
17Ms. BERSHA KUMARIbersha.kumari@poornima.orgASST PROFESSOR
18Mr. VIVEK SAXENAvivek.saxena@poornima.orgASST PROFESSOR
19Ms. CHANCHAL TIWARIchanchal.tiwari@poornima.orgASST PROFESSOR
20Ms. SMITA BISHTsmita.bisht@poornima.orgASST PROFESSOR
21Ms. JAYSHREE SUROLIAjayshree.surolia@poornima.orgASST PROFESSOR
22Ms. ASHIMA TIWARIashima.tiwari@poornima.orgASST PROFESSOR
23Mr. NITIN PHULWANInitin.phulwani@poornima.orgASST PROFESSOR
24Ms. PRIYA VERMApriya.verma@poornima.orgASST PROFESSOR
25Ms. SHRUTI GUPTAshruti.gupta@poornima.orgASST PROFESSOR
26Dr. NAVIN KUMAR GOYALnavin.goyal@poornima.orgASSOCIATE PROFESSOR
27Ms. REKHA DHIVRANIrekha.dhivrani@poornima.orgASST PROFESSOR
28Ms. MADHU CHOUDHARYmadhu.choudhary@poornima.orgASST PROFESSOR
29Dr. JYOTI PRABHAjyoti.prabha@poornima.orgASSOCIATE PROFESSOR
30Ms. SHANKYshanky@poornima.orgASST PROFESSOR
31Dr. SANJAY KUMAR SINHAsanjay.sinha@poornima.orgPROFESSOR
32Ms. NEHA SRIVASTAVAneha.srivastava@poornima.orgASST PROFESSOR
33Dr. SHALINI CHAUDHARYshalini.chaudhary@poornima.orgASSOCIATE PROFESSOR
34Mr. UDBHAV OJHAudbhav.ojha@poornima.orgASST PROFESSOR
35Ms. POOJA SHARMApoojait@poornima.orgASST PROFESSOR

Course Outcome

Department of Computer Engineering

Subject/Code No: Advanced Engineering Mathematics/3CS2-01
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Recall and understand the fundamental concepts of probability and standard distributions which can describe real life phenomenon.
CO2 Analyze the various method of numerical solutions of Normal, Poisson and Binomial probability distribution.
CO3 Formulate the optimization problems in mathematical form with classification.
CO4 Interpret non-linear optimization problems and solve by appropriate methods.
CO5 Demonstrate linear optimization problems and solve by standard methods.

Subject/Code No: Technical Communication/3CS1-02
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Understand the process of technical communication in terms of LSRW.
CO2 Apply the concept of Technical Materials/Texts in various technical documents.
CO3 Enhance the skills in the process of technical communication in terms of LSRW.
CO4 Implement the basic concepts of technical communication in Technical Reports, articles and their formats.

Subject/Code No: Digital Electronics/3CS3-04
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Demonstrate basic principles of digital circuits and different number systems.
CO2 Distinguish logic expressions and circuits using Boolean laws and K-map.
CO3 Differentiate types of digital electronic circuits and also the different logic families involved in the digital system to prepare the most simplified circuits using various mapping and mathematical methods.
CO4 Design various types of memoryless element digital electronic circuits for particular operation within the realm of economic, performance, efficiency, user friendly and environmental constraints.
CO5 Design various types of memory element digital electronic circuits for particular operation within the realm of economic, performance, efficiency, user friendly and environmental constraints.

Subject/Code No: Data Structures and Algorithms/3CS4-05
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Recognize fundamental Stack operations to address a range of engineering problems.
CO2 Relate the principles of Queues and Linked Lists to offer solutions for computer-based issues.
CO3 Discover different Search and Sorting methods to rationalize their application in diverse scenarios.
CO4 Practice the concept of Trees and their operations to furnish valid solutions.
CO5 Compare a variety of techniques that can be employed with Graphs and Hashing.

Subject/Code No: Object Oriented Programming/3CS4-06
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Describe the Object Oriented Programming paradigm with the concept of objects and classes.
CO2 Explain the memory management techniques using constructors, destructors and pointers.
CO3 Classify and demonstrate the various Inheritance techniques.
CO4 Understand how to apply polymorphism techniques on the object oriented problem.
CO5 Summarize the exception handling mechanism, file handling techniques and Use of generic programming in Object oriented programming.

Subject/Code No: Software Engineering/3CS4-07
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Recognize different software life cycle models and testing techniques to develop real time projects.
CO2 Identify cost estimation and risk analysis in project management.
CO3 Interpret and deduce the engineering process of software requirement analysis.
CO4 Apply procedural design methods to architect software systems.
CO5 Collaborate the concept of object-oriented analysis and design in software development process.

Subject/Code No: Data Structures and Algorithms Lab/3CS4-21
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Recognize fundamental Stack and Queue operations to address a range of engineering problems.
CO2 Relate the principles of Linked Lists to offer solutions for computer-based issues.
CO3 Discover different Search and Sorting methods to rationalize their application in diverse scenarios.
CO4 Devise diverse operations on non-linear data structures such as trees and graphs.
CO5 Propose a solution for a provided engineering problem utilizing Stack, Queue, Linked List, Tree and Sorting.

Subject/Code No: Object Oriented Programming Lab/3CS4-22
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Create and explain Basic C++ Program using i/o variables and structures.
CO2 Apply object oriented programming concepts using class and objects.
CO3 Design and assess the classes for code reuse.
CO4 Analysis and Apply the generic classes concepts in programming problem.
CO5 Illustrate and evaluate the file Input Output mechanisms.

Subject/Code No: Software Engineering Lab/3CS4-23
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Observe the requirements specification, function oriented design using Software Analysis and Software Design of given project and relate the use of appropriate CASE tools and other tools in the software life cycle.
CO2 Translate Software Requirements Specification (SRS) for a given problem in IEEE template.
CO3 Select DFD model (level-0, level-1 DFD and Data dictionary) of the project.
CO4 Prepare all Structure and Behavior UML diagram of the given project.
CO5 Test/Evaluate “Project Libre” a project management software tool to manage files.

Subject/Code No: Digital Electronics Lab/3CS4-24
Semester: 3rd
Course Outcome

CO Number CO Definition
CO1 Demonstrate the basics of logic gates.
CO2 Demonstrate basic combinational circuits and verify their functionalities.
CO3 Apply the working mechanism and design guidelines of different sequential circuits in the digital system design.
CO4 Construct different types of counter for real time digital systems.
CO5 Distinguish the different types of shift registers.

Subject/Code No: Discrete Mathematics Structure/4CS2-01
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Describe basic concepts of Sets, Relations, Functions, and Discrete Structure and apply appropriate methods to solve the problems.
CO2 Describe the concept of mathematical logic to create the problem in an appropriate form and test for the validity of the problem.
CO3 Apply fundamental mathematical concepts such as sets, relations, Combinatorics technique to formulate the problems and solve them by the appropriate method.
CO4 Interpret the concept of groups, ring, and field to analyze complex problems.
CO5 Demonstrate the model of real-world problems using the concept of Graph and solve the problems by standard results and graph algorithms.

Subject/Code No: Managerial Economics and Financial Accounting/4CS1-03
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Recognize and describe the fundamental concepts of Economics and Financial Management and define the meaning of national income, demand, supply, cost, market structure, and balance sheet.
CO2 Calculate and Classify the domestic product, national product and elasticity of price on demand and supply.
CO3 Draw the cost graphs, revenue graphs and forecast the impact of change in price in various perfect as well as imperfect market structures.
CO4 Compare the financial statements to interpret the financial position of the firm and evaluate the project investment decisions.
CO5

Subject/Code No: Microprocessor & Interfaces/4CS3-04
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Classify the basic operations of Microprocessor and microcontroller using their pin and architectural diagram, and also about area of manufacturing and performance.
CO2 Practice of Knowledge about programming proficiency, using various addressing modes and data transfer instructions of microprocessor and microcontroller.
CO3 Evaluate the measures of Assembly Language Programming.
CO4 Discriminate the interfacing of various circuits with microprocessor.
CO5 Compare the different programming logic applications with 8085 microprocessor.

Subject/Code No: Database Management System/4CS4-05
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Tabulate Database System with the help of Entity Relationship Diagram that visualizes a database system implemented in a real-world scenario.
CO2 Apply data deduction and manipulation techniques using query languages on a variety of databases.
CO3 Use normal forms in the process of enhancing the database schema through refinement techniques.
CO4 Create transaction plans incorporating diverse scheduling types.
CO5 Generalize and assess the effectiveness of concurrency control mechanisms and recovery systems.

Subject/Code No: Theory of Computation/4CS4-06
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Apply the knowledge of different types of grammar; he/she can analyze all types of grammar and evaluate the relationship among them.
CO2 Differentiate the concept of regular expression and finite automaton and apply the knowledge to compare the procedure for writing regular expression for an automaton or vice versa.
CO3 Apply the knowledge of Context Free grammar; he/she can generate the Context free grammar and Pushdown Automaton for evaluating the CFG.
CO4 Apply the knowledge of Turing Machine he/she can analyze the Type-0 grammar and can design and evaluate the Turing Machine.
CO5 Apply the knowledge of Pumping Lemma Theorem students can check whether the given grammar Regular grammar/Context Free Grammar or not.

Subject/Code No: Data Communication and Computer Networks/4CS4-07
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Able to identify the principles of layered protocol architecture; be able to recognize and generalize the system functions in the correct protocol layer and further illustrate how the layers interact.
CO2 State and cite mathematical problems for data-link and network protocols.
CO3 Use network layer protocols and calculate the number of subnets required for a network.
CO4 Compute the reliability of data transfer over the transport layer by glossy channel bit errors problem.
CO5 Select and plan for common services, system services, such as name and address lookups, and communications applications.

Subject/Code No: Microprocessor & Interfaces Lab/4CS4-21
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Analyze the fundamentals of assembly level programming.
CO2 Apply the interfacing concept between input and output devices.
CO3 Elaborate the interfacing of various other devices with the microprocessor.
CO4 Compose the various programs on different problems using Assembly Language Programming.
CO5 Implement standard microprocessor real-time interfaces including digital-to-analog converters and analog-to-digital converters.

Subject/Code No: Database Management System Lab/4CS4-22
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Create and execute a database schema for a specified problem domain.
CO2 Manage integrity constraints within a database using a relational database management system (RDBMS).
CO3 Construct and devise a graphical user interface (GUI) application using a fourth-generation programming language (4GL).
CO4 Composing PL/SQL code encompassing stored procedures, stored functions, cursors, and packages.
CO5 Produce SQL and Procedural interfaces to SQL comprehensively.

Subject/Code No: Network Programming Lab/4CS4-23
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Identify the functioning of various networking equipment.
CO2 Illustrate the LAN Installation techniques and Configurations techniques.
CO3 Solving various Error correcting techniques and framing methods.
CO4 Practice the programs for client and server involving UDP/TCP sockets using socket programming.
CO5 Estimate the communication between client and server using Network Simulator.

Subject/Code No: Linux Shell Programming Lab/4CS4-24
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Summarize the concepts and commands in UNIX.
CO2 Construct the directory layout of a typical UNIX system, maintain, and secure UNIX directories and files.
CO3 Illustrate the knowledge to use several shell quoting mechanisms correctly.
CO4 Construct regular expression using filters and various commands to express the patterns.
CO5 Write simple scripts to develop basic command output.

Subject/Code No: Java Lab/4CS4-24
Semester: 4th
Course Outcome

CO Number CO Definition
CO1 Express and restate fundamentals of Java, and tools for program designing environments.
CO2 Construct classes and implement the principles of method overloading, inheritance, and access controls within those classes.
CO3 Develop Java packages and incorporate the concept of interfaces, along with importing these packages in Java.
CO4 Formulate the application by managing file operations, handling exceptions, and implementing threads.
CO5 Create applications utilizing Java applets and design various polygons. This task involves the application of knowledge and the synthesis of design skills.

Subject/Code No: Information Theory & Coding/5CS3-01
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Solve the theory algebra and linear algebra in source coding.
CO2 Create channel performance using information theory.
CO3 Manipulate linear block codes for error detection and error correction.
CO4 Modify Cyclic codes for error detection and error correction.
CO5 Discover convolution codes for performance analysis.

Subject/Code No: Compiler Design/5CS4-02
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Illustrate the different phases of compiler to understand its working.
CO2 Use and execute different types of parsing algorithms.
CO3 Distinguish different types of Intermediate code generations.
CO4 Summarize different types of storage organization techniques.
CO5 Dissect the issues in code generator's design and basic block control flow graph.

Subject/Code No: Operating Systems/5CS4-03
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Analyze the concept of Operating Systems, including their essential significance and fundamental operational processes.
CO2 Utilize process scheduling techniques and inter-process communication strategies to evaluate their effectiveness in resolving real-world classical problems.
CO3 Analyze Memory Management Techniques and Page Replacement Algorithms leads to the formulation of Free Space Management with the concept of virtual memory.
CO4 Evaluate Memory Management Techniques and Page Replacement Algorithms to formulate Free Space Management, integrating virtual memory, and showcasing critical assessment.
CO5 Illustrate understanding of File Systems, Input/output Systems, and diverse disk scheduling algorithms through case studies.

Subject/Code No: Computer Graphics & Multimedia/5CS4-04
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Understand and apply basics about computer graphics along with graphics standards.
CO2 Explain and analyze various algorithms to scan, convert the basic geometrical primitives, Area filling.
CO3 Explain, illustrate and design various algorithms for 2D transformations and clipping.
CO4 Understand various color models in computer graphics system and develop animated motions through.
CO5 To understand the fundamentals concepts of parallel and perspective projections and evaluate various algorithms for 3D transformations.

Subject/Code No: Analysis of Algorithm/5CS4-05
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Observe the accuracy and efficiency of the algorithm.
CO2 Associate Dynamic Programming to address real-time challenges.
CO3 Construct and practice different pattern matching algorithms and the assignment problem.
CO4 Estimate the effectiveness of randomized algorithms through Min-Cut, 2-SAT, and similar techniques.
CO5 Anticipate algorithmic tendencies and the notion of diverse algorithm categories.

Subject/Code No: Wireless Communication (Elective)/5CS5-11
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Recognizing Mobile Radio Propagation, Fading, Diversity Concepts and Channel Modeling.
CO2 Relate the concept of cellular system and their technical challenges.
CO3 Correlate the Digital Signaling concept with fading channels.
CO4 Estimate the equalization techniques in wireless communication and error probability in faded channels.
CO5 Summarize the impacts of Design Parameters, Beam Forming and MIMO Systems in wireless communication.

Subject/Code No: Computer Graphics & Multimedia Techniques Lab/5CS4-21
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Understand and apply the various predefined functions for drawing various geometric shapes.
CO2 Explain and analyze various algorithms to scan, convert the basic geometrical primitives, transformations, Area filling, clipping.
CO3 Explain, illustrate and design various kinds of viewing and Projections.
CO4 Explain, illustrate and design various kinds of clipping techniques.
CO5 Define, explain and apply various concepts associated with computer graphics to develop the animated game.

Subject/Code No: Compiler Design Lab/5CS4-22
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Recognize the various forms of tokens and lexemes.
CO2 Calculate scanning by using the concept of finite state automation, parse.
CO3 Arrange intermediate code for various statements in a programming language concept.
CO4 Organize the storage for heap structure.
CO5 Construct various language patterns using flex tools they are also able to parse.

Subject/Code No: Analysis of Algorithm Lab/5CS4-23
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Observe the complexity of fundamental algorithms.
CO2 Relate sorting algorithms in real-world scenarios.
CO3 Construct a binary search tree using assorted algorithms.
CO4 Test algorithms for finding minimum spanning trees.
CO5 Appraise algorithms for pattern matching.

Subject/Code No: Advance Java Lab/5CS4-24
Semester: 5th
Course Outcome

CO Number CO Definition
CO1 Recognize the foundational principles of Java programming and identify tools used in program design environments.
CO2 Utilize the principles of overloading, inheritance, and access controls in the context of class structures.
CO3 Implement the concept of interfaces and demonstrate the process of importing packages in Java.
CO4 Formulate application designs incorporating file handling, exception management, and multithreading.
CO5 Construct applications through the utilization of applets, and create intricate polygon designs, demonstrating creative and evaluative skills.

Subject/Code No: Digital Image Processing/6CS3-01
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Illustrate the fundamental concepts of Digital Image Processing System.
CO2 Demonstrate various transformations and filtering techniques on Images in different domains.
CO3 Distinguish the causes for image degradation and compare the image restoration techniques.
CO4 Distinguish various image compression and segmentation techniques.
CO5 Categorize different image segmentation and representation algorithms and techniques.

Subject/Code No: Machine Learning/6CS4-02
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Apply supervised machine learning algorithms to real-time data to generate predictive insights.
CO2 Analyze real-world data with unsupervised machine learning algorithms to identify patterns and make predictions.
CO3 Evaluate different feature extraction and selection methods.
CO4 Identify the different types of semi supervised learning and reinforcement learning algorithms.
CO5 Develop and implement recommender systems and deep learning models to make predictions and recommendations.

Subject/Code No: Information Security System/6CS4-03
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Identify services that enhance the security and its mechanism.
CO2 Classify security attacks on information over the network. Describe and apply classical encryption techniques.
CO3 Compare conventional encryption algorithms & public key cryptography, and design Encryption algorithm to provide the Integration and confidentiality of a message.
CO4 Understand the concept of hash function with application and message authentication code in the security system.
CO5 Classify key management schemes and discuss web security and transport level security protocols.

Subject/Code No: Computer Architecture and Organization/6CS4-04
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Implement register transfer with the help of micro operations.
CO2 Analyze the basics of computer organization, instructions, RISC & CISC characteristics.
CO3 Apply integer and floating type computer arithmetic techniques.
CO4 Analyze the basics of memory organization, allocation and management schemes.
CO5 Assess modes of transfer and input output interface, interrupts and DMA processing.

Subject/Code No: Artificial Intelligence/6CS4-05
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Recall and identify distinct approaches in AI, with a specific emphasis on significant techniques such as search algorithms, knowledge representation, planning, and constraint management.
CO2 Elaborate on the current outlook of AI as the examination of agents that receive percepts from the environment and carry out actions in response.
CO3 Experimenting with the recognition of significant challenges encountered by AI and the intricacy involved in solving typical issues within the domain.
CO4 Systematically analyze and evaluate the presented techniques, then strategically employ them to address real-world challenges.
CO5 Create and evaluate advanced AI approaches, exemplified by intelligent systems and expert systems.

Subject/Code No: Cloud Computing/6CS4-06
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Recognize the progression of cloud computing and its practical uses over time.
CO2 Evaluate the structure, framework, and various models of cloud computing's design and architecture.
CO3 Measure an appraisal of virtualization technology and data centers, including their applications within the context of cloud computing.
CO4 Write the understanding of security concerning data, data centers, and cloud services.
CO5 Explain cloud services such as AWS and Google App Engine in terms of their integration capabilities with cloud applications.

Subject/Code No: Distributed System/6CS5-11
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Illustration of various architectures used to design distributed systems along with different types of operating systems.
CO2 Analysis of concurrent programming with interprocess communication techniques, such as remote method invocation, remote events.
CO3 Evaluation of various distributed file systems through case studies.
CO4 Analysis of distributed shared memory models and their failures in distributed computation.
CO5 Analyze various faults and their consequences and replicated data management through exploration different types of Distributed Systems.

Subject/Code No: E Commerce & ERP/6CS5-13
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Describe the Ecommerce and ERP, delving into their respective requisites and the infrastructure needed to support them.
CO2 Examine the necessary infrastructure and software prerequisites to ensure the operational functionality of Ecommerce portals.
CO3 Elaborate on the operational mechanisms of the Internet, web portals, and Ecommerce portals, while highlighting the essential infrastructure requirements.
CO4 Apply the effectiveness of tools and techniques in the realm of digital marketing, considering their resultant impact.
CO5 Construct an XML-based database and formulate an XML application tailored for storing data.

Subject/Code No: Digital Image Processing Lab/6CS4-21
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Apply image enhancement operation and image Arithmetic Operations on a given image.
CO2 Demonstrate image restoration and histogram processing on images.
CO3 Distinguish and compare various Noise and filtering algorithms on images.
CO4 Illustrate image restoration and segmentation techniques on an image.
CO5 Apply pattern recognition techniques on images using features extraction.

Subject/Code No: Machine Learning Lab/6CS4-22
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Understand the mathematical and statistical perspective of machine learning algorithms through python programming.
CO2 Evaluate the machine learning models pre-processed through various feature engineering algorithms by python programming.
CO3 Design and evaluate the supervised models through python in-built functions.
CO4 Design and evaluate the unsupervised models through python in-built functions.
CO5 Understand the basic concepts of the deep neural network model and design the same.

Subject/Code No: Python Lab/6CS4-23
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 List various data types in python and use them to solve basic python programs.
CO2 Describe Conditional statements and Looping structures concepts in python and apply these to create searching and sorting programs.
CO3 Explain the usage of List, Tuples, Set, Dictionary, and Strings and use these to solve programming problems in different ways.
CO4 Discuss file handling concepts and apply them to create basic data handling programs.
CO5 Understand various built-in python functions and formulate user-defined functions.

Subject/Code No: Mobile Application Development Lab/6CS4-24
Semester: 6th
Course Outcome

CO Number CO Definition
CO1 Construct fundamental concepts of Android programming.
CO2 Construct diverse Android applications focusing on layouts and immersive interactive interfaces.
CO3 Build Android applications centered around serverless mobile databases such as SQLite.
CO4 Demonstrate an application that records data onto the SD card.
CO5 Design a compact Android Studio application.

Internet of Things (7CS4-01)

CO Number CO Definition
CO1 Recognize the fundamental idea behind the Internet of Things (IoT).
CO2 Apply the connection of diverse sensors to Arduino/Raspberry Pi.
CO3 Execute wireless data transmission among distinct devices.
CO4 Display proficiency in transferring sensor data to and from cloud-based servers.
CO5 Evaluate the transformative impact of the Internet on Mobile Devices, Cloud Computing, and Sensor Networks.

Environmental Engineering and Disaster Management (7AG6-60.2)

CO Number CO Definition
CO1 State the natural environment and its relationships with human activities and realize the importance of ecosystem and biodiversity for maintaining ecological balance and know the objective and scope of the course.
CO2 Examine different types of pollutants, their distinguishing traits, and comprehend the significance of ensuring a secure water supply system and water quality.
CO3 Evaluate strategies for managing solid waste, examining its attributes and the repercussions of solid waste on the environment. Assess both the quantity and attributes of solid waste, as well as its proper disposal methods. Recognize the significance of sanitation within this context.
CO4 Assess the factors influencing the volume and attributes of wastewater, and analyze the processes involved in its treatment.
CO5 Generalize various types of Disasters and their social and environmental impact and the associated risk and vulnerability and plan the disaster management.

Internet of Things Lab (7CS4-21)

CO Number CO Definition
CO1 Recognize the constituent Components within IoT Architecture.
CO2 Construct connections between Devices and Sensors, applying theoretical understanding.
CO3 Implement wireless data transmission techniques among various devices.
CO4 Evaluate and select appropriate IoT Devices and Sensors based on provided Case Studies.
CO5 Execute the upload and download of sensor data on cloud and server, culminating in a comprehensive and proficient utilization demonstration.

Cyber Security Lab (7CS4-22)

CO Number CO Definition
CO1 Utilizing substitution and transposition techniques to achieve encryption and decryption of plain text, demonstrating comprehension and practical application.
CO2 Design a solution for Key Exchange problem and understand the general attacks on system
CO3 Analyze the data transferred in client server communication and working of various network protocol
CO4 Understand security-based tools like Wire shark, tcp dump, rootkits, snort etc.
CO5 Apply encryption, decryption techniques for secure data transmission, and digital signature generation, demonstrating understanding and application.

Big Data Analytics (8CS4-01)

CO Number CO Definition
CO1 Classify the building blocks of Big Data and review the growing field of Big Data Analytics.
CO2 Compose the algorithm of data-intensive problems using map reduce example.
CO3 Study and implement Writable Classes in Hadoop I/O.
CO4 Design and Implementation of Big Data Analytics using Pig to solve data-intensive problems and to generate analytics.
CO5 Implement Big Data Activities using Hive.

Disaster Management (8TT6-60.2)

CO Number CO Definition
CO1 Discuss the practicalities of hazards, disasters with associated natural/social phenomena Understand this with disaster management theory (cycle, phases).
CO2 List the existing global frameworks and existing agreements(e.g. Sendai).
CO3 Choose a method of community involvement as an essential part of successful DRR. Humanitarian Assistance/Support before and after disaster.
CO4 Technological innovations in Disaster Risk Reduction: Advantages and problems.
CO5 Experience conducting an independent DM study including data search, analysis, and presentation of disaster case study.

Big Data Analytics Lab (8CS4-21)

CO Number CO Definition
CO1 Summarize and implement the basic data structure algorithms like Linked list, stack, queue, set, and map in Java.
CO2 Illustrate the knowledge and implement different file management in Hadoop.
CO3 Discuss the example of map reduce and develop the data application using a variety of systems.
CO4 Evaluate and perform different operations on Data using Pig Latin.
CO5 Illustrate different operations on relations and databases using Hive.

Software Testing & Validation Lab (8CS4-22)

CO Number CO Definition
CO1 Understand the Automation Testing Approach using various tools.
CO2 Analyze & Discuss the performance of different websites using JMeter.
CO3 Calculate the coverage analysis of programs using Eclemma tool.
CO4 Describe & Calculate the mutation score for various programs using jumble testing tool.
CO5 Generate Test sequences and compare using Selenium tool for different websites.

Course Outcome

Department of Computer Engineering (Indian Language)

Subject/Code No: 3CS2-01/Advanced Engineering Mathematics
Semester: 3rd LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Recall and understand the fundamental concepts of probability and standard distributions which can describe real-life phenomena.
CO2 Analyze the various methods of numerical solutions of Normal, Poisson, and Binomial probability distribution.
CO3 Formulate the optimization problems in mathematical form with classification.
CO4 Interpret non-linear optimization problems and solve them by appropriate methods.
CO5 Demonstrate linear optimization problems and solve them by standard methods.

Subject/Code No: 3CS1-02: Technical Communication
Semester: 3rd Semester LTP: 2L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Understand the process of technical communication in terms of LSRW.
CO2 Apply the concept of Technical Materials/Texts in various technical documents.
CO3 Enhance the skills in the process of technical communication in terms of LSRW.
CO4 Implement the basic concepts of technical communication in Technical Reports, articles, and their formats.

Subject/Code No: 3CS3-04/Digital Electronics
Semester: 3rd Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Demonstrate basic principles of digital circuits and different number systems.
CO2 Distinguish logic expressions and circuits using Boolean laws and K-map.
CO3 Differentiate types of digital electronic circuits and also the different logic families involved in the digital system to prepare the most simplified circuits using various mapping and mathematical methods.
CO4 Design various types of memory-less element digital electronic circuits for particular operation within the realm of economic, performance, efficiency, user-friendly, and environmental constraints.
CO5 Design various types of memory element digital electronic circuits for particular operation within the realm of economic, performance, efficiency, user-friendly, and environmental constraints.

Subject/Code No: 3CS4-05/Data Structures and Algorithms
Semester: 3rd LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Recognize fundamental Stack operations to address a range of engineering problems.
CO2 Relate the principles of Queues and Linked Lists to offer solutions for computer-based issues.
CO3 Discover different Search and Sorting methods to rationalize their application in diverse scenarios.
CO4 Practice the concept of Trees and their operations to furnish valid solutions.
CO5 Compare a variety of techniques that can be employed with Graphs and Hashing.

Subject/Code No: 3CS4-06/Object Oriented Programming
Semester: 3rd Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Describe the Object-Oriented Programming paradigm with the concept of objects and classes.
CO2 Explain the memory management techniques using constructors, destructors, and pointers.
CO3 Classify and demonstrate the various Inheritance techniques.
CO4 Understand how to apply polymorphism techniques on the object-oriented problem.
CO5 Summarize the exception handling mechanism, file handling techniques, and Use of generic programming in Object-oriented programming.

Subject/Code No: 3CS4-07/Software Engineering
Semester: 3rd LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Recognize different software life cycle models and testing techniques to develop real-time projects.
CO2 Identify cost estimation and risk analysis in project management.
CO3 Interpret and deduce the engineering process of software requirement analysis.
CO4 Apply procedural design methods to architect software systems.
CO5 Collaborate the concept of object-oriented analysis and design in the software development process.

Subject/Code No: 3CS4-21/Data Structures and Algorithms Lab
Semester: 3rd Semester LTP: 0L+0T+3P
Course Outcome

CO Number CO Definition
CO1 Recognize fundamental Stack and Queue operations to address a range of engineering problems.
CO2 Relate the principles of Linked Lists to offer solutions for computer-based issues.
CO3 Discover different Search and Sorting methods to rationalize their application in diverse scenarios.
CO4 Devise diverse operations on non-linear data structures such as trees and graphs.
CO5 Propose a solution for a provided engineering problem utilizing Stack, Queue, Linked List, Tree, and Sorting.

Subject/Code No: 3CS4-22/Object Oriented Programming Lab
Semester: 3rd Semester LTP: 0L+0T+3P
Course Outcome

CO Number CO Definition
CO1 Create and explain Basic C++ Program using i/o variables and structures.
CO2 Apply object-oriented programming concepts using class and objects.
CO3 Apply object-oriented programming concepts using class and objects.
CO4 Analyze and Apply the generic classes concepts in programming problems.
CO5 Illustrate and evaluate the file Input Output mechanisms.

Subject/Code No: 3CS4-23/Software Engineering Lab
Semester: 3rd Semester LTP: 0L+0T+3P
Course Outcome

CO Number CO Definition
CO1 Observe the requirements specification, function-oriented design using Software Analysis and Software Design of the given project and relate the use of appropriate CASE tools and other tools in the software life cycle.
CO2 Translate Software Requirements Specification (SRS) for a given problem in IEEE template.
CO3 Select DFD model (level-0, level-1 DFD, and Data dictionary) of the project.
CO4 Prepare all Structure and Behavior UML diagram of the given project.
CO5 Test/Evaluate “Project Libre” a project management software tool to manage files.

Subject/Code No: 3CS4-24/Digital Electronics Lab
Semester: 3rd Semester LTP: 0L+0T+3P
Course Outcome

CO Number CO Definition
CO1 Demonstrate the basics of logic gates.
CO2 Demonstrate basic combinational circuits and verify their functionalities.
CO3 Apply the working mechanism and design guidelines of different sequential circuits in the digital system design.
CO4 Construct different types of counter for real-time digital systems.
CO5 Distinguish the different types of shift registers.

Subject/Code No: 4CS02-1/Discrete Mathematics Structure
Semester: 4th Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Demonstrate the basics of logic gates.
CO2 Demonstrate basic combinational circuits and verify their functionalities.
CO3 Apply the working mechanism and design guidelines of different sequential circuits in the digital system design.
CO4 Construct different types of counter for real-time digital systems.
CO5 Distinguish the different types of shift registers.

Subject/Code No: 4CS1-03/Managerial Economics and Financial Accounting
Semester: 4th Semester LTP: 2L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Recognize and describe the fundamental concepts of Economics and Financial Management and define the meaning of national income, demand, supply, cost, market structure, and balance sheet.
CO2 Calculate and Classify the domestic product, national product and elasticity of price on demand and supply.
CO3 Draw the cost graphs, revenue graphs and forecast the impact of change in price in various perfect as well as imperfect market structures.
CO4 Compare the financial statements to interpret the financial position of the firm and evaluate the project investment decisions.

Subject/Code No: 4CS03-04/Microprocessor & Interfaces
Semester: 4th Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Classify the basic operations of Microprocessor and microcontroller using their pin and architectural diagram, and also about area of manufacturing and performance.
CO2 Practice of Knowledge about programming proficiency, using various addressing modes and data transfer instructions of microprocessor and microcontroller.
CO3 Evaluate the measures of Assembly Language Programming.
CO4 Discriminate the interfacing of various circuits with microprocessor.
CO5 Compare the different programming logic applications with 8085 microprocessor.

Subject/Code No: 4CS4-05/Database Management System
Semester: 4th Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Tabulate Database System with the help of Entity Relationship Diagram that visualizes a database system implemented in a real-world scenario.
CO2 Apply data deduction and manipulation techniques using query languages on a variety of databases.
CO3 Use normal forms in the process of enhancing the database schema through refinement techniques.
CO4 Create transaction plans incorporating diverse scheduling types.
CO5 Generalize and assess the effectiveness of concurrency control mechanisms and recovery systems.

Subject/Code No: 4CS4-06/Theory of Computation
Semester: 4th Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Understand the process of technical communication in terms of LSRW.
CO2 Differentiate the concept of regular expression and finite automaton and apply the knowledge to compare the procedure for writing regular expression for an automaton or vice versa.
CO3 Apply the knowledge of Context Free grammar; he/she can generate the Context free grammar and Pushdown Automaton for evaluating the CFG.
CO4 Apply the knowledge of Turing Machine he/she can analyze the Type-0 grammar and can design and evaluate the Turing Machine.
CO5 Apply the knowledge of Pumping Lemma Theorem students can check whether the given grammar Regular grammar/Context Free Grammar or not.

Subject/Code No: 4CS4-07/Data Communication and Computer Networks
Semester: 4th Semester LTP: 3L+0T+0P
Course Outcome

CO Number CO Definition
CO1 Able to identify the principles of layered protocol architecture; be able to recognize and generalize the system functions in the correct protocol layer and further illustrate how the layers interact.
CO2 State and cite mathematical problems for data-link and network protocols.
CO3 Use network layer protocols and calculate the number of subnets required for a network.
CO4 Compute the reliability of data transfer over the transport layer by lossy channel bit errors problem.
CO5 Select and plan for common services, system services, such as name and address lookups, and communications applications.

Subject/Code No: 4CS4-21/Microprocessor & Interfaces Lab
Semester: 4th Semester LTP: 0L+0T+2P
Course Outcome

CO Number CO Definition
CO1 Able to identify the principles of layered protocol architecture; be able to recognize and generalize the system functions in the correct protocol layer and further illustrate how the layers interact.
CO2 State and cite mathematical problems for data-link and network protocols.
CO3 Use network layer protocols and calculate the number of subnets required for a network.
CO4 Compute the reliability of data transfer over the transport layer by lossy channel bit errors problem.
CO5 Select and plan for common services, system services, such as name and address lookups, and communications applications.

Subject/Code No: 4CS4-22/Database Management System Lab
Semester: 4th Semester LTP: 0L+0T+3P
Course Outcome

CO Number CO Definition
CO1 Create and execute a database schema for a specified problem domain.
CO2 Manage integrity constraints within a database using a relational database management system (RDBMS).
CO3 Construct and devise a graphical user interface (GUI) application using a fourth-generation programming language (4GL).
CO4 Compose PL/SQL code encompassing stored procedures, stored functions, cursors, and packages.
CO5 Produce SQL and Procedural interfaces to SQL comprehensively.

Subject/Code No: 4CS4-23/Network Programming Lab
Semester: 4th Semester LTP: 0L+0T+3P
Course Outcome

CO Number CO Definition
CO1 Identify the functioning of various networking equipment’s.
CO2 Illustrate the LAN Installation techniques and Configurations techniques.
CO3 Solving various Error correcting techniques and framing methods.
CO4 Practice the programs for the client and server involving UDP/TCP sockets using socket programming.
CO5 Estimate the communication between the client and server using Network Simulator.

Subject/Code No: 4CS4-24/Linux Shell Programming Lab
Semester: 4th Semester LTP: 0L+0T+2P
Course Outcome

CO Number CO Definition
CO1 Summarize the concepts and commands in UNIX.
CO2 Construct the directory layout of a typical UNIX system, maintain, and secure UNIX directories and files.
CO3 Illustrate the knowledge to use the several shell quoting mechanism correctly.
CO4 Construct regular expression using filters and various commands to express the patterns.
CO5 Write simple scripts to develop basic command output.

Subject/Code No: 4CS4-25/Java Lab
Semester: 4th Semester LTP: 0L+0T+2P
Course Outcome

CO Number CO Definition
CO1 Express and restate fundamentals of Java and tools for program designing environments.
CO2 Construct classes and implement the principles of method overloading, inheritance, and access controls within those classes.
CO3 Develop Java packages and incorporate the concept of interfaces, along with importing these packages in Java.
CO4 Formulate the application by managing file operations, handling exceptions, and implementing threads.
CO5 Create applications utilizing Java applets and design various polygons. This task involves the application of knowledge and the synthesis of design skills.

LABS

Sr.No. LAB N0. LAB NAME TECHNICAL ASSISTANT NAME
1 CS06 System Design Lab Deepak Sain
2 CS10 System Software Lab Deepak Sain
3 CS11 Mobile Application Development Lab Deepak Sain
4 CT08 Web Development Dalut Ram Beniwal
5 CT12 Database Management System Dalut Ram Beniwal
6 CT11B Dhd Lab Vijay Kumar Garg
7 CT11C Image Processing Vijay Kumar Garg
8 AS03 Advanced Technology Lab Manish Achariya
9 AS02 Object Oriented Programming Lab Manish Achariya

PROJECTS

S.No Category No of Projects
1 Airtificial Intelligence and Machine Learning 12
2 Augmented and Virtual Reality 3
3 Blockchain 1
4 Deep Learning 2
5 Internet of Things 11
6 Mobile Application Development 7
7 Robotics 1
8 VR + IOT + Robotics 1
9 Web Designing 24
10 Others(WebAi, Cloud, IOTML) 5
VIEW PROJECTS
Graph

IPR's

S.No Application No. Applicant Name Affiliation Title of Invention Status
1 202411000922 Indra Kishor PIET Iot enable extended reality for college virtual tour: an emusive mobile application with real voice and avatar assistant Published
2 202311076140 Indra Kishor PIET Development of AI intenligence based agroginus system enhansing framing efficiency based on the IOT-AR Drone approch Published
3 202311051802 Indra Kishor PIET Immpresive XR system with voise assistant Interation for exploring educational institutional Published
4 202311037396 Abhishek Dadhich PIET Digital system for student presence Published
5 202311075320 Indra Kishor PIET An IOT based tow way people counter with dynamic tracking and data regression for single door entry and exit Published
1 202211039557 Dr. Rakhi Mutha PIET, Jaipur IDENTIFICATION AND MITIGATION OF ATTACKS IN WIRELESS SENSOR NETWORK USING TRUST BASED BLOCKCHAIN MECHANISM Published (2022)
2 202211066470 Mr. Atrakesh pandey PIET, Jaipur A hybrid approach using RNN and CNN for predicting 1-4D structure of protein from amino acid sequences Published (2022)
3 202211033519 Dr. Shashi Kant Rathore PIET, Jaipur Bayesian Approach In Spam Detection With Nature Inspired Optimization Published (2022)
4 202211065546 Dr. Purushottam Lal PIET, Jaipur Automatic Signature verification to Maintain Social Distancing Published (2022)
5 202211065546 Mr Deepak Moud PIET, Jaipur Automatic Signature verification to Maintain Social Distancing Published (2022)
6 202211067216 Mr Rahul Gupta PIET, Jaipur Reduced Switch Multilevel Inverter for Improved Power Quality Based on Solar Photovoltaic Systems Published (2022)
7 202211067504 Dr Shruti Thapar PIET, Jaipur System and Model for Development of Energy Efficient Routing Protocol for Wireless Sensor Networks for Enhancement of Sensor Node and Battery Lifetime Published (2022)
8 202211067504 Dr. Purushottam Lal PIET, Jaipur System and Model for Development of Energy Efficient Routing Protocol for Wireless Sensor Networks for Enhancement of Sensor Node and Battery Lifetime Published (2022)
9 202211067504 Dr. Uday Pratap Singh PIET, Jaipur System and Model for Development of Energy Efficient Routing Protocol for Wireless Sensor Networks for Enhancement of Sensor Node and Battery Lifetime Published (2022)
10 202211067504 Ms. Ritu Shukla PIET, Jaipur System and Model for Development of Energy Efficient Routing Protocol for Wireless Sensor Networks for Enhancement of Sensor Node and Battery Lifetime Published (2022)
11 202211067216 Dr. Purushottam Lal PIET, Jaipur Reduced Switch Multilevel Inverter for Improved Power Quality Based on Solar Photovoltaic Systems Published (2022)
12 202211062722 Dr. Purushottam Lal PIET, Jaipur AN INTELLIGENT SYSTEM FOR PEER-TO-PEER WIRELESS POWER TRANSFER AMONG UBIQUITOUS DEVICES Published (2022)
13 202211069267 Dr. Purushottam Lal PIET, Jaipur Security Improvement in Storage of Dockers Containers on Cloud Server Published (2022)
14 202211069267 Dr. Uday Pratap Singh PIET, Jaipur Security Improvement in Storage of Dockers Containers on Cloud Server Published (2022)
15 202211069267 Mr. Vivek Saxena PIET, Jaipur Security Improvement in Storage of Dockers Containers on Cloud Server Published (2022)
16 202211070247 Ms Shikha Gautam PIET, Jaipur QR based Automated System for the Collection & Donation of Residuals Medicine Stocks Published (2022)

S.No Title of FDP / Workshop
1 SUMMER INTERNSHIP 2022 ON ARTIFICIAL INTELLIGENCE AND DATA SCIENCE
2 SUMMER INTERNSHIP-2022 FULL STACK WEB DEVELOPER (PHP WITH MYSQL)
3 WEEKS AICTE TRAINING AND LEARNING (ATAL) FACULTY DEVELOPMENT PROGRAM
4 SIX DAY WORKSHOP ON CORE JAVA-HANDS ON
5 ONLINE EXPERT TALK ON “A FIRST DIVE TO MOBILE APP DEVELOPMENT”
6 Five DAYS WORKSHOP ON CYBER SECURITY AND ETHICAL HACKING
7 Three DAYS FACULTY DEVELOPMENT PROGRAM ON CYBER SECURITY AND ETHICAL HACKING
8 AN EXPERT TALK ON CORPORATE AND SERVICE INDUSTRY READY
09 5 DAYS INDUSTRIAL WORKSHOP ON “DEVOPS VIRTUALIZATION”
10 AN EXPERT TALK ON “METAVERSE BEYOND THE HYPE”
11 SIX DAYS WORKSHOP ON “INTERNET OF THINGS”
12 SUMMER INTERNSHIP ON MACHINE LEARNING AND DATASCIENCE-2022
13 ENGIFEST-2022, ENGINEERS DAY CELEBRATION, 2022