Admissions

Computer Science & Engineering

Program Overview

Established in 1983, the Department of Computer Science and Engineering (CS&E) is committed to delivering quality education and shaping future-ready professionals. With a strong emphasis on both theoretical foundations and practical skills, the department equips students to thrive in a rapidly evolving tech landscape. The program follows an Outcome-Based Education (OBE) model under a Choice-Based Credit System (CBCS), allowing students to personalize their learning journey and pursue their career goals with confidence. With an annual intake of 240 students, The department is powered by a team of highly qualified and experienced faculty members, expertise across various domains of Computer Science. Our faculty are known for their excellence in teaching, mentorship, and research.

The department also offers a Ph.D. program in Computer Science and Engineering, which was introduced in 2004, fostering advanced research and innovation.

Highlights

  • Industry-aligned curriculum
  • Experienced and research-oriented faculty
  • Hands-on labs and project-based learning
  • Strong industry connect and placement support

    • Total Intake(CS&E department)

    240

    Total Intake(CS&E (AI & ML))

    60

    Total Intake(CS&E (Data Science))

    60

    Total Intake(Computer Science & Business Systems )

    60

    Program Type

    UG

    Duration

    4 Years

    Academic programs offered

    UG Program

    • Bachelor of Engineering (B.E.) in Computer Science and Engineering (CSE) with approved intake of 180 students and a lateral entry of 10% from 2nd year.
    • Bachelor of Engineering (B.E.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) with approved intake of 60 students.

    PG Program

    • M. Tech Programme in Computer Science and Engineering with approved intake of 18 students.
    • M.Sc. (Engineering) by research

    Research Program

    • Ph.D.

    Vision

    "The Department of Computer Science and Engineering shall create professionally competent and socially responsible engineers capable of working in global environment."

    Mission

    • DM1: Enforce best practices in teaching-learning, with dedicated faculty and supportive infrastructure to impart the knowledge in emerging technologies. {Required to create professionally competent engineers}.
    • DM2: Improve Industry-Institute relationship for mutual benefit. {Required to create professionally competent engineers}
    • DM3: Inculcate ethical values, communication and entrepreneurial skills. {Required to create professionally competent and socially responsible engineers}.
    • DM4: Sensitize social, legal, environmental and cultural diversity issues through professional training and balanced curriculum. {Required to create engineers capable of working in global environment}

    Program Educational Objectives (PEOs)

    Graduates of the program will be able to

    • Have Successful computer professional career in IT industry and related areas
    • Pursue higher education in engineering or management with the focus on intensive research and developmental activities.
    • Develop their career as entrepreneurs in a Responsible,Professional and ethical manner to serve the society

    Program Outcomes (POs)

    Engineering Graduates will 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: Identify, 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 modeling 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.

    Program Specific Outcomes (PSOs)

    The Under Graduate (UG) of B.E Computer Science & Engineering Program has defined Program Specific Outcomes (PSO) which are listed below.

    • PSO-1: Ability to Design and Develop Network Based Systems in emerging technology environments like Cloud Computing, Network security Internet of Things and Embedded Systems.
    • PSO-2: Ability to Develop Knowledge Based Data Management System in the areas like data analytics, Data mining, Business Intelligence ,Pattern Recogntion ,and knowledge discovery in solving engineering problems

    2021 - 2022 Academic Year

    Odd SemesterClick Here

    2020 - 2021 Academic Year

    Even SemesterClick Here

    Odd SemesterClick Here
    B.Sc, PGDCA
    Name of Technical Staff Designation Qualification Work Experience (Yrs.)
    Manu kumar H.M System Analyst B.E. 9 yrs
    M.N .Kishore Computer Programmer B.Sc, PGDCA 21 yrs
    G.K.Thiruneelakataswamy Computer Operator 18 yrs
    M.S.Sunitha Computer Operator B.Sc(CS), M.Sc[IT] 16 yrs
    A.L. Shobharani Computer Operator B.Sc(CS) 18 yrs
    M.S.Kusuma Computer Operator Diploma in E&C 15 yrs
    M.K.Vidyashree Computer Instructor Diploma in CS 12 yrs
    Hanume Gowda Instructor Diploma in CS, B.E in C.S 5 yrs
    Hariprasad
    C.Basavaraju Mechanic SSLC 27 yrs
    K.Sreedhar Prasad System Admin M.Sc 12 yrs
    M.Sathish Helper SSLC 13 yrs
    Manohara.H.S Helper SSLC 4 yrs
    Amrutha Helper 14 yrs
    Shubha Instructor Diploma in EC
    Student ListClick Here

    Placement DetailsClick Here

    Name of the Research Guide Designation Email-Id
    Dr. M C Padma Professor padmamc@pesce.ac.in
    Dr. R Girish Professor write2girisha@gmail.com
    Dr. Nagarathna Professor nagarathna@pesce.ac.in
    Dr. H P Mohan Kumar Professor & Head mohankumar@pesce.ac.in
    Dr. Vinay S Professor vinay@pesce.ac.in
    Dr. M.Veena Associate Professor mveenakemps@gmail.com

    Name of Research Scholars University Date of Award Guide Name Title of Research
    Prathibha R.J VTU 20/04/2018 Dr. M.C. Padma Novel approaches to develop modules of source analysis for Kannada sentence in Machine translation system
    Mohammad Ahmed ail Abdu alrhman UOM 18/06/2019 Dr. M.C. Padma Design of Robust Concept Drift Adoption Strategies for High Speed Data Stream Mining
    Arjun U VTU 08/042022 Dr. Vinay S An Approach to enable the Data Integrity for Cloud Data Storage by Auditing
    Manasa K N UOM 19/05/2023 Dr. M.C. Padma A Framework for Analysing the Intensity of Sentiments in Social Media
    Prathibha R.J VTU 20/04/2018 Dr. M.C. Padma Novel approaches to develop modules of source analysis for Kannada sentence in Machine translation system
    Veena M VTU 26/07/2023 Dr. M.C. Padma Techniques for early detection of Breast cancer using Multimodal images
    Dr.M C Girish babu VTU 22/02/2024 Dr. M.C. Padma Techniques for Identification & Classification of Crops using satellite imagery
    Dr.Chethan G S VTU 30/04/2024 Dr.Vinay S Design of dependable architecture for collaborative platform of educational big data on cloud environment
    Dr.Chowdary K K VTU 23/08/2024 Dr.R.Girisha Regional Climate Change Study using HPC and Data Mining
    Dr.Nitin Kumar VTU 23/09/2024 Dr.Nagarthna Early prediction and classification of mango fruit flies with seasonal activity using sensor network
    Esraa Mohamand Jamil Alsariera UOM 30/12/2023 Dr.Padma M C
    Deepika VTU 08/02/2025 Dr.Nagarathna Predictive Model for production enhancement in layer poultry farm using Machine Learning Techniques

    Name Guide Name University/Research Center Topic Status
    R.S.Prasanna kumar Dr S N Thimmaraju VTU Course work Completed
    Veena M. Dr. M.C. Padma VTU Comprehensive Viva Completed
    Girish Babu Dr. M.C. Padma VTU Comprehensive Viva Completed
    Suraj B S Dr. M.C. Padma VTU Registered and preparing for course work
    Ramyashree H P Dr. Minavathi VTU Comprehensive Viva Completed
    Deepika Dr. Nagarathna VTU course work Completed
    Shwetha M K Dr. Nagarathna VTU Registered and preparing for course work
    Chaitra B P Dr. M L Anitha VTU Registered and preparing for course work
    V Chethan kumar Dr. Umesh D R VTU Registered and preparing for course work
    Shruthi P S Dr. Umesh D R VTU Registered and preparing for course work
    C Chethana Dr. Deepu singh VTU Registered and preparing for course work
    Bhavya D Dr D S Vinod JSS,Mysore course work completed
    Jayshankar IIT,varanasi course work completed
    Yoga B S IIT,Roorkie Registered

    Name of Research Scholars University Guide Name Title of Research Status
    Prathibha R.J VTU Dr. M C Padma Novel approaches to develop modules of source analysis for Kannada sentence in Machine translation system Completed
    Mohammad Ahmed Ail Abdu Alrhman UOM Dr. M C Padma Design of Robust Concept Drift Adoption Strategies for High Speed Data Stream Mining Completed
    Arjun U VTU Dr. Vinay S An Approach to enable the Data Integrity for Cloud Data Storage by Auditing Completed
    Manasa K N UOM Dr. M C Padma A Framework for Analysing the Intensity of Sentiments in Social Media Completed
    Veena M VTU Dr. M. C Padma Techniques for early detection of Breast cancer using Multimodal images Completed
    Dr.M C Girish Babu VTU Dr.Padma M C Techniques for Identification & Classification of Crops using satellite imagery Completed
    Dr.Chethan G S VTU Dr.Vinay S Design of dependable architecture for collaborative platform of educational big data on cloud environment Completed
    Dr.Chowdary K K VTU Dr.R.Girisha Regional Climate Change Study using HPC and Data Mining Completed
    Dr.Nitin Kumar VTU Dr.Nagarthna Early prediction and classification of mango fruit flies with seasonal activity using sensor network Completed
    Esraa Mohamand Jamil Alsariera UOM Dr.Padma M C Completed
    Deepika VTU Dr.Nagarathna Predictive Model for production enhancement in layer poultry farm using Machine Learning Techniques Completed
    Suraj B S VTU Dr.Padma M C Sentiment analysis model for recognizing fake reviews using opinion mining CV Completed
    Prathibha S VTU Dr.Vinay S A Machine Learning Approach for Anomaly Detection system in Cloud CV Completed
    Raghavendra K VTU Dr.Vinay S A Swarm intelligence based Approach to towards Sensor Selection Clustering and Information Fusion inIoT Waiting For Conducting Open Seminar
    Sunil M E VTU Dr.Vinay S Analysis of Subjective Information in Public Platforms Using Machine Learning Techniques Waiting for Thesis Submission
    Chethan Kumar V VTU Dr.D R umesh Assistive system for improvisation of behaviour of intellectually disabled children(autism) over wireless body area network using big data analytics Waiting for Conducting Final viva
    Shruthi P S VTU Dr.D R umesh A Study of Multidimensional Analysis in Analytics for Quality Optimization Waiting for Conducting Final viva
    Shivashankar S K VTU Dr.Mahesh Kaluti Enhancing Efficiency of Routing Protocol in MANET”s using An Artificial Neural Network (ANN) with Machine Learning Approach. Registered For Course Work Exam-2022
    Meghana M VTU Dr.Nagarathna Predicting Legal Outcome based on Artificial Intelligence and Deep Learning Techniques Registered For Course Work Exam-2022
    Raksthitha. M.S VTU Dr.Vinay S Traceability System based on Block chain. Pusuing Course Work
    Vishesh. J VTU Dr. R Girisha Customer Behavior Analysis with the Help of Historical Purchase data using Artificial Intelligence. CV Completed
    Dinesh S D VTU Dr.Vinay S Gait Pattern Analysis for Gait Identification Using Topic Model included Multiplovien Colloquim Completed
    Sachith B K VTU Dr.D R umesh Curvilinear Text Detection and Recognition from Multi View Image Scenes. Cv Completed
    Sindhu P VTU Dr.Padma M C Digital Forensics-Based Malware Detection Using Machine Learning Course Work Completed
    Srujana B J VTU Dr.Vinay S Disease Detection and Classification in Chrysanthemum Flowers using Deep Learning Approach. Course Work Completed
    Vinutha M S UOM Dr.Padma M C A Framework for Search Engine Optimization by Hamessing Natural Language Processing and Machine Learning Techniques.
    Sindhu B S VTU Dr.Minavathi Microscopic imange analysis for the Diagnosis of cancer using Generative AI Tecnology Registerd
    Bhavya M R VTU Dr.R Girish Computational model for brain tumor detection and classification using deep learning and soft computing techniques CV Completed
    Varsha N UOM Dr.Padma M C Secure User Engagement in online social networks using Deep contagion and Graph mining approaches with intergrated pseudonymization Pusuing Course Work
    Fahad Abdullah Ghanem Mohammed Nasser VTU Dr.Vinay S Automatic Short Text Summarization Approaches for Social Media Data. Waiting for Thesis Submission
    Sharaf H M Almosalami UOM Dr.Padma M C Pusuing Course Work

    Detailed Publication ReportClick Here

    Faculty Topic Application Number Status
    Deepika
    Dr. Nagarathna     		An automated system to predict air quality index in layer poultry farm Using deep learning techniques 202441027160 A Published
    Ms. Srujana B
    J Dr. Vinay S     		Disease detection and classification in chrysanthemum flowers using deep Learning approach 202441029970 A Published
    Deepika Mobile application development for recognizing ayurvedic medicinal Plants using deep learning methods 202441027221 A Published
    P. Prasanna
    Dr. Umesh D. R
    S.K Shivashankar     		Olympics game analysis tool using machine learning 202441027159 A Published
    Uma S K Sign language recognition system for hearing and speech impaired people Using machine learning 202441027157 A Published
    Dr. Umesh D.
    R P. Prasanna
    Chetan Kumar V     		Modeling and formal specification of smart mass transit railway Interlocking system 202441027225 A Published
    Dr.Nagarathna
    Dr. Vinay S
    Mr. Pramod
    Kumar B M     		An AI enabled solar panel rotation system 202341016403 Published
    Dr.Anitha M L
    Dr. Vinay S    		 Predicting child mental stress using AI 202341016400 Published
    Dr. D R Umesh IOT-Enhanced Alternate Pair Furrow Irrigation System For Sustainable Water Management In Sugarcane Cultivation 202341082020 Published
    Bhavya D Root Cause Analysis, Threat Interpretation, and Network Survivability Prediction Device for Heterogeneous Networks 202141000707 Published
    Chethana C Automated Driving Assistance System 202141019449 Published

    Investigator Project title Year Funding agency Amount Duration Status
    Dr.Vinay.S New Age Incubation Network(NAIN) 2021-2023 Government of Karnataka 1.2crore 2021-2023 Completed
    Dr.Deepika IOT Project 2024 Government of Karnataka 1,30,000
    Bhavya.D Solid Waste Management System 2024 Government of Karnataka 1,87,500

    Network Forensic

    Network forensics is a subfield of digital forensics where evidence is captured from networks and interpretation is substantially based on knowledge of cyber attacks. It aims to locate the attackers and reconstruct their attack actions through analysis of intrusion evidence. Major technical challenges facing network forensics analysis: Current sources of intrusion evidence such as IDS alerts are not well adapted for forensics investigation. Cyber attacks are increasingly sophisticated. Short response times. Major objectives of network forensics analysis can be summarized into two fundamental problems: attack group identification and attack scenario reconstruction. Attack scenario reconstruction is the process of inferring step-wise actions taken by the attacker to achieve his malicious objective. Attack group identification is the task of discovering the group of hosts involved in the attack and determining the roles of each host in the group.

    The main objectives of our proposed project are

    • Detection of TCP SYN flooding
    • Detection of UDP flooding
    • Estimation of Throughput of the network
    • Filtering of Packets
    • Detection of Routing Protocol
    • Finding Round Trip Time

    Getting other application protocol details for analysis like DNS-protocol This project concentrates on taking care of Deformed Packets with appropriate flags, Aggregation and reassembly of packets. It is not dependent on NIC and it is a Hardware engine. Thus there Tuning intrusion prevention and detection solutions

    Data Science

    Data Science is a subject of Computer Science aimed at building machines and computers that can enhance logical operations. AI systems have the ability to execute tasks naturally associated with human intelligence, like speech recognition, decision-making, visual perception, and translating languages.

    Machine Learning is one of the widely used algorithms of AI. The learning process involves the enhancement of new declarative knowledge, the advancement of cognitive and motor skills through practice or instruction. Since the beginning of the computer era, researchers and scientists have been trying to implant such abilities in computers. Solving this issue has been, and remains, most fascinating and challenging long-term goal in AI.

    Some of the applications of Data Science are as follows:

    Natural Language Processing

    NLP is a method in which computers are made to understand, execute and manipulate human language. To reach this goal, a computer should be able to “understand” a large amount of data – from grammar syntax and rules to various accents and colloquialisms. Whereas a speech recognition system, for example, manual speech becomes audio data, which then turns into text data, a complex process itself. This text data can be implemented in an “intelligent” system for different applications such as controlling devices or translators.

    Computer Vision

    Computer vision is the science of manipulating or understanding videos and images. It has many applications, comprising of augmented reality, autonomous driving and industrial inspection. The implementation of deep learning for computer vision can be differentiated into many categories: detection, generation, segmentation and classification, both in videos and images.

    Financial Services

    Companies in the financial sector are able to identify key insights in financial data as well as prevent any occurrences of financial fraud, with the help of machine learning technology. The technology is also used to identify opportunities for investments and trade. Usage of cyber surveillance helps in identifying those individuals or institutions which are prone to financial risk, and take necessary actions in time to prevent fraud.

    Marketing and Sales

    Companies are using machine learning technology to analyze the purchase history of their customers and make personalized product recommendations for their next purchase. This ability to capture, analyze, and use customer data to provide a personalized shopping experience is the future of sales and marketing.

    Government

    Government agencies like utilities and public safety have a specific need FOR Ml, as they have multiple data sources, which can be mined for identifying useful patterns and insights. For example sensor data can be analyzed to identify ways to minimize costs and increase efficiency. Furthermore, ML can also be used to minimize identity thefts and detect fraud.

    Healthcare

    With the advent of wearable sensors and devices that use data to access health of a patient in real time, ML is becoming a fast-growing trend in healthcare. Sensors in wearable provide real-time patient information, such as overall health condition, heartbeat, blood pressure and other vital parameters. Doctors and medical experts can use this information to analyze the health condition of an individual, draw a pattern from the patient history, and predict the occurrence of any ailments in the future. The technology also empowers medical experts to analyze data to identify trends that facilitate better diagnoses and treatment.

    Transportation

    Based on the travel history and pattern of traveling across various routes, machine learning can help transportation companies predict potential problems that could arise on certain routes, and accordingly advise their customers to opt for a different route. Transportation firms and delivery organizations are increasingly using machine learning technology to carry out data analysis and data modeling to make informed decisions and help their customers make smart decisions when they travel.

    Oil and Gas

    This is perhaps the industry that needs the application of machine learning the most. Right from analyzing underground minerals and finding new energy sources to streaming oil distribution, ML applications for this industry are vast and are still expanding.

    Proposed Data Science will be set up at the institute level and it can be used by students or faculty members of any engineering department. AI and ML have varied applications across different engineering streams.

    Internet of Things

    Center of Excellence on Internet of Things (IoT) is established for carrying out projects and research work by Undergraduate/Post Graduate students and Research students/faculties at Department of Computer Science and Engineering, PES College of Engineering, Mandya. The above said laboratory has the overall goal of identifying and providing solutions for the real life problems and also research problems. As an outcome of the established laboratory, a number of projects on Internet of Things were developed by a number of talented UG/PG students. Some team members are working in collaboration with different start- up companies/ practitioners to address the real life problems and to give solutions for the societal issues.

    Various components used for developing a number of projects on different types of problems are given below. 1. Gold pack of Zolertia Device ( 10 no’s ) 2. Zolertia gateway 3. Arduino UNO R3 board with DIP ATmega328P 4. Arduino Yun 5. Arduino Ultrasonic Range Finder Module Sensor Distance Measuring Transducer 6. Microphone sound sensor module 7. MQ-7 Carbon Monoxide Detection Sensor 8. Ethernet W5100 Shield Network Expansion Board w/ Micro SD Card Slot 9. Electronic Components {Bread boards, Jumper, cables, LED's, Resistors, Capacitors, Transistors} 10. Finger-clip Heart Rate Sensor with shell 11. Serial Camera Kit 12. PIR Motion Sensor - Large Lens version 13. GSR sensor 14. GPS Module 15. EMG Detector 16. Wind Speed/ Direction Sensor 17. Fingerprint Sensor 18. Water Flow Sensor 19. Adult reusable NIBP cuff 20. Raspberry Pi 2 Model B 1GB 21. Soil moisture sensor 22. Water level switch 23. Flame Sensor

    Methodology 1. Internet of Things (IoT) Laboratory has been established with the required facilities for implementing the projects on various problems chosen from the societal issues. 2. Interaction with various experts from different start-up companies/ practitioners to address the real life problems. 3. Best possible solutions are developed by using the equipments in the Internet of Things (IoT) Laboratory. 4. Challenges in developing solutions for some more realistic problems are the focus of forthcoming days. Outcome: A number of projects on Internet of Things are developed by a number of talented UG and PG students.

    Students Achievements Click Here
    2024-2025 ACTIVITIES Click Here
    2023-2024 ACTIVITIES Click Here
    2021-2022 ACTIVITIES Click Here
    2020-2021 ACTIVITES Click Here
    2019-2020 ACTIVITES Click Here
    2018-2019 ACTIVITIES Click Here
    2017-2018 ACTIVTIES Click Here
    2016-2017 ACTIVITIES Click Here
    2015-2016 ACTIVTIES Click Here

    Academic Year (2023-24) Rank details

    Name of the Students USN CGPA Rank
    MOHANAPRIYA K J 4PS20CS059 9.53 I
    SPANDANA S 4PS20CS127 9.51 II
    POOJASHREE N T 4PS20CS076 9.44 III
    NISARGA R 4PS20CS069 9.31 IV
    AISHWARYA V 4PS20CS005 9.27 V
    PAVAN RAJ C V 4PS20CS074 9.17 VI
    SONU H S 4PS20CS099 9.15 VII
    NETHRA A R 4PS20CS063 9.14 VIII
    HEMANA M 4PS20CS034 9.12 IX
    AISHWARYA B A 4PS20CS003 9.1 X

    Academic Year (2022-23)

    Name of the Students USN CGPA Rank
    NITIN JAIN D 4PS19CS067 9.54 I
    MERYL FREEDA DCRUZ 4PS19CS051 9.5 II
    TARUN KUMAR 4PS19CS115 9.44 III
    PALLAVI S 4PS19CS069 9.43 IV
    NITHYASHREE M P 4PS19CS066 9.39 V
    SHASHANK GOWDA H S 4PS19CS098 9.31 VI
    PREETHI M 4PS19CS077 9.28 VII
    SAHANA S R 4PS19CS091 9.26 VIII
    ANVIKA 4PS19CS015 9.25 IX
    SHIVAPRASAD D N 4PS19CS101 9.21 X

    Academic Year (2021-22)

    Name of the Students USN CGPA Rank
    SATHWIK M 4PS18CS097 9.72 I
    SUPREETH H R 4PS18CS109 9.38 II
    YASHASWINI S 4PS18CS123 9.25 III
    KAVANA D 4PS18CS028 9.13 IV
    DEEPAK C 4PS18CS028 9.13 V
    SAMARTH N 4PS18CS091 9.07 VI
    ARUNA L K 4PS18CS014 8.98 VII
    BHUVAN JAIN S M 4PS18CS022 8.83 VIII
    PRAJWAL M U 4PS18CS071 8.78 IX
    DINAKAR BL 4PS18CS029 8.77 X
    PES MANDYA
    PES MANDYA
    Number of Faculty Completed NPTEL CoursesClick Here

    Academic year 2024 - 25Click Here

    Academic year 2023 - 24Click Here

    Academic year 2022 - 23Click Here

    Academic year 2021 - 22Click Here

    Academic year 2020 - 21Click Here

    Academic year 2019 - 20Click Here

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