The department of Artificial Intelligence and Machine Learning (AI&ML) is approved by Visvesvaraya Technological University, Belagavi from the academic year 2020-21. The exiting journey of the department is started in the year 2020. The department offers an undergraduate B.E. program with an intake of 60 students.
The department is started to cater the needs of Industry 4.0, which has created revolution by integrating new technologies such as Artificial Intelligence and Machine Learning, Internet of Things (IoT) etc., into their production facilities and their operations.
The Department has well qualified faculty with rich research and teaching experience and is committed to impart rigorous training to the students to generate knowledge through the state of art concepts and technologies in Artificial Intelligence and Machine Learning. The department has adequate infrastructure with state-of-art laboratories to facilitate advanced learning environment. Workshops, Bridge Courses, Carrier guidance, technical skills and soft skill programs are conducted by industry experts and academicians to enhance the skills of the students to meet the cutting edge technologies. The Department has MOUs with several industries which in turn provide internship and training to our students.
To cope up with the upcoming Industrial demands, it is highly required to ensure adaption of latest skills among students of Artificial Intelligence and Machine Learning to meet the Industry standards. With this objective the department organizes School of Artificial Intelligence program, spread across 4 years, being conducted in collaboration with M/s Tequed Labs, Bangalore, to help the students improve on cutting edge technologies and develop AI applications.
The Department coordinates Infosys Campus Connect program, regular training sessions are being organized for the students of all the streams to ensure preparedness for Infosys Certification Examination. The students are also motivated to get certified on various certification courses available on Infosys Springboard platform which helps to bridge the gap between Industry and Academia.
Vision
To bring forth technically versatile, Research oriented, Industry ready engineers in the field of Artificial Intelligence and Machine Learning.
Mission
1. Facilitate modern infrastructure and versatile learning resources to produce self-sustainable professionals.
2. Facilitate project based learning and skill upgradation through industry collaborations.
3. Inculcate professional ethics, leadership qualities and practice lifelong learning.
The department of Artificial Intelligence and Machine Learning (AI&ML) is started in the academic year 2020-21 with the intake of 60 students. The department offers undergraduate B.E. program. The Department has well qualified faculty with rich research and teaching experience and is committed to impart rigorous training to the students to generate knowledge through the state of art concepts and technologies in Artificial Intelligence and Machine Learning.
The department has adequate infrastructure with state-of-art laboratories to facilitate advanced learning environment. Value added courses, Workshops, Bridge Courses, Student development programs, Technical skills and Soft skill programs are conducted by industry experts and academicians to enhance the skills of the students to meet the cutting edge technologies. The Department has MOUs with several industries which in turn provide internship and training to our students. Sports, Co-curricular and Extra-curricular activities takes place at Institute level and students participate in various Intra-College, Inter-College, Inter-University competitions.
Course Outcomes:
Faculties frame the Course outcome by using the four components: Action, Knowledge, Condition, benchmark and shall focus on what the student should know and realistically be able to do by the end of the course.
Choose the Action verb required for learning based on the level, this measures the student ability in demonstrating the concept which is required (Apply, Analyze, . . . .).
The Knowledge and its level required to reach/achieve the concept, some of the concepts required are specific to the domain knowledge.
what are the conditions on which the above knowledge specified is achieved / or the conditions under which the operations happen to achieve the above said knowledge.
To characterize the acceptability levels of performing the action. Bench mark methods are specified for the Optional element.
Programme Specific Outcomes:
Department of Artificial Intelligence and Machine Learning:
Graduates will be able to:
Designation : Professor and HOD
Specialization: Computer Science & Engineering
Qualification : M.Tech, Ph.D
Experience : 22 Years
E-mail: aimlhod@skit.org.in
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Designation : Assistant Professor
Specialization: Computer Science & Engineering
Qualification : M.E
Experience : 15 Years
E-mail: premacaiml@skit.org.in
Profile Details Click Here
Designation : Assistant Professor
Specialization: Artificial Intelligence and Machine Learning
Qualification : M.Tech
Experience : 16.3 Years
E-mail: manzooraiml@skit.org.in
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Designation : Assistant Professor
Specialization: Artificial Intelligence and Machine Learning
Qualification : M.E
Experience : 8 Years
E-mail: vidhyabanubaiml@skit.org.in
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Designation : Assistant Professor
Specialization: Artificial Intelligence and Machine Learning
Qualification : M.Tech
Experience : 8 Years
E-mail: nandambaiml@skit.org.in
Profile Details Click Here
Designation : Assistant Professor
Specialization: Artificial Intelligence and Machine Learning
Qualification : M.Tech
Experience : -
E-mail: bharathisaiml@skit.org.in
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Designation : Assistant Professor
Specialization: Artificial Intelligence and Machine Learning
Qualification : M.Tech
Experience : -
E-mail: saikiranaiml@skit.org.in
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Designation : Assistant Professor
Specialization: Computer Networks
Qualification : BE, MTech
Experience : 05 Years
E-mail: ramyahaiml@skit.org.in
Profile Details Click Here
Designation : Assistant Professor
Specialization: Artificial Intelligence and Machine Learning
Qualification : BE, MTech
Experience : 22 Years
E-mail: asgharpashaaiml@skit.org.in
Profile Details Click Here
Data Structures Laboratory is to provide practical learning on various data structures and to understand the processing of different algorithm for problem-solving. Students gain practical knowledge by writing and executing programs in C/C++/JAVA using various data structures and implementing algorithm principles.
The Analog and Digital Electronics Laboratory is to provide students to observe working of various electronic components and design of Electronic Circuits and Digital Circuits, with digital trainer kits, CRO’s, signal generators and IC’s such as 7432, 7402, 7486, 74132, 7473 etc.,
Design and Analysis of Algorithm Laboratory is to provide creating an efficient algorithm to solve problem in an efficient way using minimum time and space. And also, through analysis provides theoretical estimation for the required resource.
Microcontroller Lab helps students to learn and enhance their Assembly Level Language programming skills for ARM based Microcontroller. Also they learn to interface microcontroller with external devices like stepper motor, keypad, Logic controller, LCD, 7 segment displays etc.,
Artificial Intelligence Laboratory is to learn and execute basic python fundamental programs, Implement and demonstrate various AI algorithms for problem solving and also to evaluate the same.
Data base management systems Laboratory gives the foundation knowledge in database concepts, technology and practice to groom students into well informed database application developers. It gives strong practice in SQL programming through a variety of database problems and give the knowledge to develop database applications using front-end tools and Back end DBMS
In machine learning lab, students learn various algorithms to design and implement machine learning solutions to classifications, regression and clustering problems.
Digital image processing laboratory is the use of a digital computer to process digital images through an algorithm. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing.
Mobile Application Development Laboratory is to provide processes and procedures involved in writing software for small, wireless computing devices.
The Artificial Intelligence and Machine Learning lab is to make computers learn much about the world, so rapidly and flexibly, as humans. This poses many deep and fascinating scientific problems.
| ACADEMIC YEAR:2024-2025 (Even) SCHEME: 22 SEM: 4th | |||||
|---|---|---|---|---|---|
| SL.NO | COURSE CODE | COURSE NAME | THEORY / PRACTICAL |
FACULTY IN-CHARGE | COURSE WEBSITE LINK |
| 1 | BCS401 | Analysis and Design of Algorithm | Theory | Mr. Manzoor Ahmed | https://sites.google.com/view/manzoorahmed |
| 2 | BAD402 | Artificial Intelligence | Theory | Mr. Sai Kiran T S | https://sites.google.com/skit.org.in/bad402/home |
| 3 | BCS403 | Database Management System | Theory | Ms. Bharathi S | https://sites.google.com/skit.org.in/data-base-management-system/home |
| 4 | BCSL404 | Analysis and Design of Algorithm Lab | Practical | Mr. Manzoor Ahmed / Mr. Sai Kiran T S | https://sites.google.com/view/manzoorahmed |
| 5 | BCS405A | Discrete Mathematical Structures | Theory | Mr. Puttaraju | https://sites.google.com/skit.org.in/mathematics/about-the-faculty |
| 6 | BAD402 | Artificial Intelligence Lab | Practical | Mr. Sai Kiran T S / Mr. Asghar Pasha | https://sites.google.com/skit.org.in/bad402/home |
| 7 | BCS401 | Database Management System Lab | Practical | Ms. Bharathi S / Mr. Manzoor Ahmed | https://sites.google.com/skit.org.in/data-base-management-system/home |
| 8 | BDSL456C | MERN Lab | Practical | Mr. Asghar Pasha / Ms. Bharathi S | https://sites.google.com/view/easgwebsite/home |
| 9 | BBOC407 | Biology for Engineers | Theory | Mrs. B. Vidhya Banu | https://sites.google.com/d/1GXaqvl1tlL2H5Dq3tvKHMd nRTK61W6QU/p/1aYesf0wW_AucvNoxOjcKUxi4a4hfu Glu/edit |
| ACADEMIC YEAR: 2024-2025 (Even) SCHEME: 22 SEM: 6th | |||||
|---|---|---|---|---|---|
| SL.NO | COURSE CODE | COURSE NAME | THEORY / PRACTICAL |
FACULTY IN-CHARGE | COURSE WEBSITE LINK |
| 1 | BAI601 | Natural Language Processing | Theory | Mr. Asghar Pasha | https://sites.google.com/view/easgwebsite/home |
| 2 | BAI601 | Natural Language Processing | Practical | Mr. Asghar Pasha / Mr. Sai Kiran T S | https://sites.google.com/view/easgwebsite/home |
| 3 | BAI602 | Machine Learning – I | Theory | Mrs. Nanda M B | https://sites.google.com/skit.org.in/machinelearning-bai602/home |
| 4 | BIS613D | Cloud Computing and Security | Theory | Mrs. B. Vidhya Banu | https://sites.google.com/d/1GXaqvl1tlL2H5Dq3tv KHMdnRTK61W6QU/p/1aYesf0wW_AucvNoxOj cKUxi4a4hfuGlu/edit |
| 5 | BAIL606 | Machine Learning Lab | Practical | Mrs. Nanda M B / Mrs. B. Vidhya Banu | https://sites.google.com/skit.org.in/machinelearning-bai602/home |
| 6 | BCV654C | Integrated Waste Management for a Smart City | Theory | Mrs. Ramya AV (Civil) | https://sites.google.com/skit.org.in/6thbcv654c/lecture-notes |
| 7 | BAIL657C | Generative AI | Practical | Mr. Manzoor Ahmed/Ms. Ramya H | https://sites.google.com/view/manzoorahmed |
| 8 | BIKS609 | Indian Knowledge System | Theory | Mrs. Nanda M B | https://sites.google.com/skit.org.in/machinelearning-bai602/home |
| ACADEMIC YEAR: 2023-2024 (ODD) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | COURSE CODE | COURSE NAME | THEORY / PRACTICAL | FACULTY IN-CHARGE | COURSE WEBSITE LINK | |
| 1. | 18AI72 | Advanced Machine Learning | THEORY | Dr. Jayasudha K | https://sites.google.com/skit.org.in/coursewebsite/home | |
| 2. | 18AI741 | Fuzzy Logic and its Application | THEORY | Prof. Prema C | https://sites.google.com/skit.org.in/18ai741/home | |
| 3. | 18AI71 | Advanced Artificial Intelligence | THEORY | Prof. Manzoor Ahmed | https://sites.google.com/view/manzoorahmed/ | |
| 4. | 18AI733 | Block chain Technology | THEORY | Prof. Ramya H | https://sites.google.com/skit.org.in/ramya/home | |
| ACADEMIC YEAR: 2022-2023 (EVEN) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | COURSE CODE | COURSE NAME | THEORY / PRACTICAL | FACULTY IN-CHARGE | COURSE WEBSITE LINK | |
| 1. | 18AI61 | Machine Learning | THEORY | Dr.Geetha C Megharaj | https://sites.google.com/skit.org.in/drgeetha-18cs54/home | |
| 2. | 18AI62 | Digital Image Processing | THEORY | Prof. Prema C | https://sites.google.com/skit.org.in/prema-c-dept-of-aiml/home | |
| 3. | 18AI63 | Java for Mobile Applications | THEORY | Prof. Manzoor Ahmed | https://sites.google.com/view/manzoorahmed/home | |
| 4. | 18AI643 | Web Programming | THEORY | Prof. Ramya H | https://sites.google.com/skit.org.in/webprogramming/home | |
| ACADEMIC YEAR: 2022-2023 (ODD) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | COURSE CODE | COURSE NAME | THEORY / PRACTICAL | FACULTY IN-CHARGE | COURSE WEBSITE LINK | |
| 1. | 18AI52 | Python Programming | THEORY | Prof Veena M Naik | https://sites.google.com/skit.org.in/skit-ise-vi-18cs55adp/about-faculty | |
| 2. | 18CS53 | Database Management System | THEORY | Prof Prema C | https://sites.google.com/skit.org.in/prema-c-dept-of-aiml/home | |
| 3. | 18CS54 | Automata Theory and Computability | THEORY | Dr.Geetha C Megharaj | https://sites.google.com/skit.org.in/drgeetha-18cs54/home | |
| 4. | 18AI55 | Principles of Artificial Intelligence | THEORY | Prof Manzoor Ahmed | https://sites.google.com/view/manzoorahmed/home | |
| ACADEMIC YEAR: 2022-2023 (ODD) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | COURSE CODE | COURSE NAME | THEORY / PRACTICAL | FACULTY IN-CHARGE | COURSE WEBSITE LINK | |
| 1. | 21CS32 | Data Structure And Its Applications | INTEGRATED COURSE | Prof Manzoor Ahmed | https://sites.google.com/view/manzoorahmed/home | |
| 2. | 21CS33 | Analog And Digital Electronics | INTEGRATED COURSE | Prof G Soujanya | https://sites.google.com/skit.org.in/21cs33-ade/home | |
| 3. | 21CS34 | Computer Organization And Architecture | THEORY | Prof Ramya H | https://sites.google.com/skit.org.in/computer-organization/about-the-faculty | |
| 4. | 21CSL35 | Object Oriented Programming With Java Laboratory | PRACTICAL | Prof Ramya H | https://sites.google.com/skit.org.in/java-lab/home | |
| ACADEMIC YEAR: 2022-2023 (EVEN) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | COURSE CODE | COURSE NAME | THEORY / PRACTICAL | FACULTY IN-CHARGE | COURSE WEBSITE LINK | |
| 1. | 21CS41 | Mathematical Foundations for Computing | THEORY | Prof Veerabadhraswamy V C | https://sites.google.com/skit.org.in/httpswww-skit-org-in?pli=1&authuser=1 | |
| 2. | 21CS42 | Design and Analysis of Algorithms | INTEGRATED COURSE | Prof. Nanda M B | https://sites.google.com/skit.org.in/21cs42/home | |
| 3. | 21CS43 | Microcontroller and Embedded Systems | INTEGRATED COURSE | Prof. G Soujanya | https://sites.google.com/skit.org.in/4th-sem-21-scheme/home | |
| 4. | 21CS44 | Operating Systems | THEORY | Prof. Prema C | https://sites.google.com/skit.org.in/21cs44/home | |
| PLACEMENT DETAILS 2024-2025 | |||||
|---|---|---|---|---|---|
| Sl.No | Student Name | USN No | Branch | Company Placed | CTC in LPA |
| 1. | Ankith P | 1KT20AI002 | AIML | Technologics global pvt. Ltd & Learning Routes | 4 LPA & 5,70,000 |
| 2. | K.Vinay Kumar | 1KT20AI013 | AIML | Starmark S/w pvt. Ltd | 4 LPA |
| 3. | Tejus G | 1KT20AI009 | AIML | Esente Healthcare pvt. Ltd | 3.5 LPA |
| 4. | Srinidhi R | 1KT20AI008 | AIML | S.A.Tech S/w pvt. Ltd | 4.5 LPA |
| 5. | Madhusudan M N | 1KT20AI007 | AIML | Global Quest Technologies | 3.5 LPA |
| 6. | FizaTaskeen | 1KT20AI003 | AIML | TAP Academy | 4 LPA |
| 7. | Krupa M | 1KT20AI004 | AIML | TAP Academy | 4 LPA |
| 8. | Vaibhav N | 1KT20AI011 | AIML | Duxcon | 4 LPA |
Date and Venue: 11-03-2025 at 01:30 pm in ICT class room-S 201.
Resource Person: All faculties of AI&ML
Event objective: The primary objective is to provide interns with a platform for skill development and professional growth. This involves hands-on experience, mentorship, and exposure to real-world challenges to enhance their practical and theoretical knowledge. And also encourage interns to make meaningful contributions to the organization's projects and tasks while identifying potential future talent for the Centre for Management Development.
Outcomes: The technical talk on the Internship Opportunity at Rooman Technologies successfully informed students about the program's structure, eligibility, and benefits. Attendees gained insights into real-world projects, mentorship opportunities, and career prospects. The session concluded with an interactive Q&A, guiding interested candidates on the application process.
Event Co-Ordinator: Prof. Ramya H, Department of AI &ML
Date and Venue: 12/02/2025 to 14/02/2025, ITC Classroom S-201
Resource Person: All faculties of AI&ML
Event objective and outcomes:
1. To understand the fundamentals of Exploratory
data analysis.
2. To explore knowledge on Python Strings and String Methods.
3. To apply Operations on Numpy Arrays.
4. To implement NumPy Array Indexing, Slicing.
Outcomes: Students will be able to understand the program structure, syntax, and semantics of the Data Analysis and learn numerical data with NumPy, Pandas and Matplotlib with Python.
Event Co-Ordinator: Prof. Nanda M B
Date and Venue: 6th September 2024, S-201
Event objective and outcomes:
Objective: To enable the students to, promote and arrange
extracurricular activities to bring out the hidden talents of students & to motivate them
for participating in these activities which includes cultural & social activities for the
overall development. To preserve, innovate and promote, develop, and disseminate art, culture,
education & social welfare.
Outcome: The main outcome of participation is to bring students out of stage fear and also improve their communication skills.It gives you a feeling of togetherness and everyone wants to get connected and be happy together. It helps us appreciate and embrace our culture or religions equally.
Event Co-Ordinator: Prof. Ramya H and Prof. Nanda M B, Department of AI &ML
Date and Venue: 6th August 2024, S-225
Event objective and outcomes:
Objective: To inspire young minds to be the driving force
in the field of Coding. It is an opportunity to apply knowledge creatively, to see how systems
interact, both with each other and with the environment.
To develop professional engineering skills among the students this will help them in the
professional life and also extend support to the participants of Coding-related competitions that
are held at all over the India like Hackathons. To acquire the skill of solving problems by
considering different required points of view. Imbibe the ability among students to work as
individuals and in groups during projects.
Outcome: All the 4 th and 6 th semester students of our department are participated actively in the coding contest and all the student co-ordinators were actively involved in organizing the event very efficiently. The students have effectively enhanced the relevant knowledge through the coding contest.
Event Co-Ordinator: Prof. Nanda M B and Prof. Ramya H, Department of AI &ML
Date and Venue: 27 th July 2024, S-201
Event objective and outcomes:
To enable the students to develop competence necessary for
graduate students to be
employed in the areas of Information Technology and the industry of game development. To
enable students to develop games individually and in teams. To develop creativity and
individuality in problem solving and in performing tasks. To enable students to continue their
studies and to introduce them to scientific work in the areas of Virtual Reality, Computer
Graphics, and Artificial Intelligence.
Outcome: All the 6 th semester students of AIML department are participated actively with 47 participants. The main outcome of participation is to bring students out of stage fear and also improve their communication skills. It also provides an opportunity to learn in detailed about a core subject which is a part of curriculum and develop effective presentation skills.
Event Co-Ordinator: Prof. Ramya H and Prof. Nanda M B, Department of AI &ML
Date and Venue: 19 th August 2024 to 23 rd August 2024, S-201
Resource Person: Prof.Manzoor Ahmed , Prof Amar Sri, Prof.Vidhya Banu B,
Prof .Asghar Pasha and Prof Nanda M B
Event objective and outcomes:
Objective: Giving the students insights of the web technology
and how to design and implement designs over web. To comprehend the basics of the internet and web
terminologies. To introduce scripting language concepts for developing client-side applications.
Outcome: The event was conducted for AIML,3 rd semester students with 65 participants. The students learned about design and develop web applications, Understand client and server-side scripting and their applicability.
Event Co-Ordinator: Prof. Ramya H, Department of AI &ML
Date and Venue: 5th September 2024, S-201
Event objective and outcomes:
Objective:
To Celebrate the role played by teachers in community upliftment and to recognize the central role teachers play in nurturing and guiding infants, children, youth and adults through the lifelong learning process. This day is dedicated to the teachers with the sense of respect, appreciation, encouragement and support for their devotion to their students. To express gratitude for the immense contribution put forth by their teachers towards their development, students celebrate teachers day on 5 th September as teachers are the cornerstone of students' future.
Cultural Convener: Prof. Nanda M B and Prof. Ramya H, Department of AI &ML
Date and Venue: 13-07-2024, Auditorium
Resource person: Mr. Nawaz Khader Khan, Sr. Software Engineering Manager,
C&R Software, Bangalore.
Technical was aimed to provide awareness about IT Domain particularly in Software Development, Software Testing using selenium and gain experiential learning which drive the students in deciding their career path in Automation and Testing.
The event was conducted for AIML, CSE and ISE department with 87 participants. The students learned about Manual vs Automation Testing, Java vs JavaScript, Identify various Testing Tools, Understand recent trending Technologies, Compare commercial vs free Testing Tools, Deploy code in real time environment.
Event Co-Ordinator: Prof. Asghar Pasha, Department of AI &ML
Date and Venue: 17/01/2024, Online mode, 7-00-9:00pm
Resource person: Mr. Manikanth I Melmani, Excel R Edtech Pvt Ltd
Event Objectives:
To give students an idea about full stack development, software testing and skill set required to become a full stack developer and how full stack development can be a good car choice. The main motto of this event was to give fundamental idea of full stack development and software testing and courses related to them. After the event more students got registered for the upcoming courses.
Event Co-Ordinator: Mrs. Vibha S
Date and Venue: 1/12/2023 to 7/12/2023
Resource person: Shilpa Vaidya
Event Objectives and Outcomes:
Understanding of VS code which provides robust javascript editing features such as code navigation, debugging tools. A functional understanding of the Node.js runtime environment for server-side functions. React is a cutting-edge technology that finds its applications in various fields, especially web development. After successfully completing this course, students will be able to build projects using HTML, JSX and Todo app in React and enhance HTML /CSS skills and style react component.
Event Co-Ordinator: Ms.Ramya H
Date and Venue: 27th to 29th November, 2023
OBJECTIVES:
The main purpose of the program was to enhance students Perception and Cognitive Thinking Abilities. Events are planned for the students themselves, which provides them an opportunity to Crack Certification course, planning & execution, team & resource management, time management. The Infosys Springboard program offers courses and certifications in various areas.
OUTCOMES:
Upon successful completion of this course, students should be able to:
Date and Venue: 17/11/2023 to 19/11/2023, A-101
Resource person: Mr. Mithun Dolthody Jayaprakash
OBJECTIVES:
OUTCOMES:
Event Co-Ordinator: Prof. Sindhu K, Dept. of AI&ML
Date and Venue: 17/11/2023 to 19/11/2023, A110
Resource person: Mr. Mithun Dolthody Jayaprakash.
To Understand machine learning problems corresponding to different applications and apply algorithm to a real world problems.Develop a programming solution to the given data by using ML. It helps to improve student skills on Machine Learning.
Event Co-Ordinator: Prof. Sindhu K
Date and Venue: 15 th of November at 12:00 pm in ICT class room-A 110, A-Block
Event objective and outcomes:
Objective:
An aptitude test is quite vital for placements as it helps in enhancing the logical skills of the person and if someone is preparing for interviews then aptitude preparation is very much required. Having good aptitude skills ensures an excellent job in good company. To improve the quality of hiring and promoting.
Outcome: Upon successful completion, students will have the knowledge and skills to: Students were able to know how much knowledge they have in technical skills, and try to improvise further. Students got confidence on their skills and will be able to perform well in further placements. Students got confidence , reduces test anxiety and allows to perform better during actual test.
Summary: Multiple choice questions based on Data structures, C , Oops concepts,
Python coding.
Around 15 questions was given for the test in online mode. Thamarai Kannan is the winner of
the event.
Club Co-ordinators: Prof. Ramya H, Department of AI &ML
Prof. Nanda M B, Department of AI &ML
Date and Venue: 15th to 20th of November 2023, A-101, ICT
Resource person: Faculties of AIML Dept
Giving the students insights of the web technology and how to design and implement designs over web. To comprehend the basics of the internet and web terminologies. Upon successful completion of this course, students should be able to design and develop web applications. Understand client and server-side scripting and their applicability.
Event Co-Ordinator: Ms.Ramya H
The ‘Mini Project Exhibition’ organized by TECHSANSKRITHI, Club under Artificial Intelligence and Machine Learning Department on the 15 th of September 2023. With an impressive participation of 60 enthusiastic individuals, this exhibition showcased a diverse array of projects, ranging from ‘Web Programming’ to ‘Java Projects’ and ‘Embedded Projects’. The Technical Quiz was conducted, 40 students have successfully attended the Quiz. This event’s purpose, organization, and highlights from each project category, shedding light on TECHSANSKRITHI’s dedication to promoting technological prowess and fostering innovation within its community.
AIML Club was inaugurated on 15 th September 2023. The club name was unveiled as “TECHSANSKRITHI” and logo was launched in presence of Dr. Geetha C Megharaj, Professor and Head, HOD’s of various departments, Faculties of AIML department, Final and Pre-final year students of AIML. It served as a dynamic platform for showcasing innovation, with attendees witnessing the technical prowess and creative genius of the projects on display.
It was conducted with the aim to create a real time application project in the open-source environment. The event was conducted on 30th December 2022 with 26 participants of AIML, ISE and CSE departments. The workshop was organized in sophisticated way with the resource person delivering the sessions with complete practical exposure to students. The resource person was Prof. Prema C, Assistant professor, AIML department.
It was conducted with the aim to provide knowledge of Micro Python programming and applying the same for developing real-time projects along with applications related to ESP8266 microchip. The event was conducted for 3 days from 5 th Dec to 7 th Dec 2022 with 19 students registering from two departments AI&ML & ECE. The workshop was delivered providing the hands-on sessions on Micro Python, Robot assembling and robotic projects. The resource person was Mr. K Uday Bhargav, Founder, GenEd Technologies, Bangalore.
It was conducted with the aim to provide basic knowledge on java programming and to get practical experience on concepts of java programming. The event was conducted for 5 days from 7 th November to 12 th November 2022 with 40 participants of AIML department. The bridge course was organized in sophisticated way with the resource persons delivering the sessions with complete practical exposure to students.
Bridge Course on “C++ Programming” was conducted with the aim to provide basic knowledge of Object Oriented Programming concept. The event was conducted for 5 days from 23 rd May 2022 to 27 th may 2022.
The Departments of Computer Science and Engineering & Artificial Intelligence and Machine Learning of Sri Krishna Institute of Technology, jointly organized 4th National Conference on “Recent Trends in Computer Science and Information Technology”[RTCSIT- 2022] during 10th June 2022. The objective of this conference was to provide a conducive environment for the participants to share experiences in Engineering and Technology fields, Enables triggering minds among the parties involved, Provide opportunities to form partnerships among research participants, Expanding the field of Engineering and Technology at the global level.
The event was presided by the chief guest Dr.Venugopal K Vice chancellor, Bangalore University.
An awareness session on Infosys Certification Exam was conducted for the 5 th Semester students of all branches on 29 th December 2021 by Dr. Geetha Megharaj, Prof. & HOD AIML. The details of Importance of Infosys Certification, Eligibility Criteria, and Examination Process, Examination pattern, Registration Process and Infosys platform for learning process were shared among the students. Students were encouraged for registrations.
A Knowledge sharing session on “Microsite creation” on Infosys Springboard platform was conducted on, 21.12.2021, at 3.30pm. All the department coordinators of INFYTQ were attended the session and it was useful for the attendees. Content Delivery was done by Prof. Manzoor Ahmed, Asst. Prof., AIML.
Workshop on “Artificial Intelligence” was conducted on 14 th Dec 2021 at K.M.V. Red Hills High School, with the aim to provide basic knowledge of Artificial Intelligence and to get overview of all applications of AI and Machine Learning. The event was conducted for the staff of the schools and all teaching staff were participated. The event was organized by Prof. Manzoor Ahmed, Department of AIML.
Bridge Course on “C Programming” was conducted with the aim to provide basic knowledge of C programming and to get practical exposure of all advance concepts of C programming language.
The event was conducted for 10 days from 18 th Oct to 31 st Oct 2021.
| Academic Year - 2024-2025 (Odd Sem) | ||||
|---|---|---|---|---|
| Toppers list: 3th sem (22 Scheme) | ||||
| Sl.No. | Name | USN | Total Marks | Percentage |
| 1 | KHUSHI YADAV | 1KT23AI030 | 826/900 | 91.8 |
| 2 | HEMANI GOWDA | 1KT23AI024 | 795/900 | 88.3 |
| 3 | KEERTHAN G K | 1KT23AI029 | 780/900 | 86.7 |
| 4 | KEERTHAN C | 1KT23AI028 | 670/800 | 86.3 |
| Academic Year - 2024-25 (Odd Sem) | ||||
|---|---|---|---|---|
| Toppers list: 5th sem (22 Scheme) | ||||
| Sl.No. | Name | USN | Total Marks | Percentage |
| 1 | ANUSHKA ANAND KOTEKAR | 1KT22AI008 | 681/900 | 75.67 |
| 2 | THARUN N | 1KT22AI057 | 670/900 | 74.44 |
| 3 | APPUGOWDA B S | 1KT22AI009 | 655/900 | 72.78 |
| 4 | MOHAMMED KAIF M | 1KT22AI028 | 651/900 | 72.33 |
| Academic Year - 2024-25 (Odd Sem) | ||||
|---|---|---|---|---|
| Toppers list: 7th sem (21 Scheme) | ||||
| Sl.No. | Name | USN | Total Marks | Percentage |
| 1 | USHA B S | 1KT21AI042 | 646/700 | 91.14 |
| 2 | MEGHANA P | 1KT21AI025 | 629/700 | 91 |
| 3 | DARSHAN SADASHIVA | 1KT21AI015 | 623/700 | 89.29 |
| 4 | VENUGOPAL S R | 1KT21AI046 | 622/700 | 89.14 |
| Academic Year - 2023-24 (Even Sem) | ||||
|---|---|---|---|---|
| Toppers list: 4 th sem (22 Scheme) | ||||
| Sl.No | Name | USN | Total marks | Percentage |
| 1. | APPU GOWDA B S | 1KT22AI009 | 686/800 | 85.75% |
| 2. | THARUN N | 1KT22AI057 | 673/800 | 84.13% |
| 3. | ANUSHKA ANAND KOTEKAR | 1KT22AI008 | 672/800 | 84.0% |
| 4. | POORVIKA D M | 1KT22AI035 | 669/800 | 83.63% |
| Toppers list:6 th sem (21 Scheme) | ||||
|---|---|---|---|---|
| Sl.No | Name | USN | Total marks | Percentage |
| 1. | USHA B S | 1KT21AI042 | 737/800 | 92.12% |
| 2. | VENUGOPAL S R | 1KT21AI046 | 702/800 | 87.75% |
| 3. | MEGHANA P | 1KT21AI025 | 671/800 | 83.88% |
| 4. | DARSHAN SADASHIVA | 1KT21AI015 | 670/800 | 83.75% |
| Toppers list:8 th sem (18 scheme) | ||||
|---|---|---|---|---|
| Sl.No | Name | USN | Total marks | Percentage |
| 1. | KRUPA M | 1KT20AI004 | 458/500 | 92% |
| 2. | VINAY KUMAR K | 1KT20AI013 | 449/500 | 90% |
| 3. | LAVANYA K | 1KT20AI005 | 441/500 | 88% |
| 4. | FIZA TASKEEN | 1KT20AI003 | 437/500 | 87% |
| Academic Year - 2022-23 | ||||||
|---|---|---|---|---|---|---|
| Toppers list: 6th sem (18 Scheme) | ||||||
| Sl.No | Name | USN | Total marks | Percentage | ||
| 1. | Krupa M | 1KT20AI004 | 686 | 85.75 | ||
| 2. | 1KT20AI013 | Vinay Kumar K | 670 | 83.75 | ||
| 3. | Fiza Taskeen | 1KT20AI003 | 665 | 83.12 | ||
| 4. | Vaibhav N Korkoppa | 1KT20AI011 | 600 | 75 | ||
| Toppers list: 5th sem (18 scheme) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | Name | USN | Total marks | Percentage | ||
| 1. | Vinay Kumar K | 1KT20AI013 | 641 | 80.12 | ||
| 2. | Fiza Taskeen | 1KT20AI003 | 601 | 75.12 | ||
| 3. | Krupa M | 1KT20AI004 | 593 | 74.12 | ||
| 4. | Vaibhav N Korkoppa | 1KT20AI011 | 547 | 68.37 | ||
| Toppers list: 4th sem (18 scheme) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | Name | USN | Total marks | Percentage | ||
| 1. | Vinay Kumar K | 1KT20AI013 | 644 | 80.5 | ||
| 2. | Krupa M | 1KT20AI004 | 625 | 78.1 | ||
| 3. | Fiza Taskeen | 1KT20AI003 | 621 | 77.6 | ||
| 4. | Vaibhav N Korkoppa | 1KT20AI011 | 588 | 73.5 | ||
| Toppers list: 3rd sem (21 scheme) | ||||||
|---|---|---|---|---|---|---|
| Sl.No | Name | USN | Total marks | Percentage | ||
| 1. | Usha B S | 1KT21AI042 | 715 | 89.37 | ||
| 2. | Meghana P | 1KT21AI025 | 713 | 89.13 | ||
| 3. | Venu Gopal S R | 1KT21AI046 | 710 | 88.75 | ||
| 4. | Darshan Sadashiva | 1KT21AI015 | 696 | 87 | ||
