Kammavari Sangham (R) 1952, K.S.Group of Institutions
K. S INSTITUTE OF TECHNOLOGY
No.14, Raghuvanahalli, Kanakapura Road, Bengaluru - 560109, 9900710055
Affiliated to VTU, Belagavi & Approved by AICTE, New Delhi, Accredited by NBA , NAAC & IEI
Announcement |
Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Department of Artificial Intelligence & Machine Learning (AIML) is established in the year 2020.
The current intake of UG program is 60. The main focus of the department is to produce graduates with the expertise in Machine Learning technology, and department has adopted outcome-based education to help students to achieve this goal. The college is accredited by National Assessment and Accreditation Council (NAAC). The department provides numerous opportunities to students to interact with Industry Professionals and hone up their skills. This enables students to analyse real life problems and develop solutions for the same.
The department has qualified, experienced & committed teaching faculty members with various specializations. Faculties have obtained Ph.D. degree from VTU affiliated institutes, and some faculties are pursuing Ph.D. provide qualitative level education.
The dept encourages students to participate in intercollege events also conduct technical and non- technical events to enhance their teamwork, leadership and event management skills. Active professional bodies like CSI, ISTE, IEI, and IEEE help to conduct FDPs and workshops for the faculties to comprehend and upgrade to the latest technologies.
The Department of Artificial Intelligence and Machine Learning offers B.E program. The dept formally was inaugurated on Oct 12, 2021. We have team of highly dedicated, committed and experienced teaching & supporting staff. All faculty members continuously monitor the overall development of the students through personal guidance, mentoring & Counselling. To empower the students with multi-dimensional skills, department conducts guest lectures by well-known academia and industry persons. These lectures provide students the industry perspective and empowers them to think beyond regular course curriculum and possibly instil in them the concept to start on entrepreneurial journey.
The department continues to engage with industry in many ways. We do provide consultancy as well sign Memorandum of Understanding (MoU). The consultancy mechanism provides an opportunity to faculty to work on current real-life situations that required efficient technology solutions. The MoUs would enable our faculty and students to collaborate with industry to develop prototypes and engage in research to find practical workable solutions. Department has the students club "Aenfinity". Students are actively involved in organizing technical and non-technical activities under the club.
Bachelor of Engineering (B.E.) in Artificial Intelligence and Machine Learning (AIML) with approved intake of 60 students and a lateral entry of 10% from 2nd year.
A great career catalyst for professionals.
Opportunities in many areas, such as, Retail, Logistics, Robotics, Consumer services (chatbots), Healthcare, Transport, Education, Défense, Drones, Cybersecurity, Sports, etc.
PO1 : Engg Knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and engg. specialization to the solution of complex engineering problems.
PO2 : Problem Analysis : Identify, formulate, research literature, and analyze engineering problems to arrive at substantiated conclusions using first principles of mathematics, natural, and engineering sciences.
PO3 : Design/Development : Design solutions for complex engineering problems and design system components, processes to meet the specifications with consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4 : Conduct Investigations : Use research-based knowledge including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5 : 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.
PO6 : Engineer and Society : 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.
PO7 : Environment : Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development .
PO8 : Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice .
PO9 : Individual and team work : Function effectively as an individual, and as a member or leader in teams, and in multidisciplinary settings.
PO10 : Communication : Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations, and give and receive clear instructions.
PO11 : Project Mgmt : Demonstrate knowledge and understanding of engineering and management principles and apply these to one's own work, as a member and leader in a team. Manage projects in multidisciplinary environments.
PO12 : Lifelong 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.
PEO1: Empower students to solve real life problems by utilizing state of the art technologies.
PEO2: Promote entrepreneurship among students, emphasizing on innovation by redefining the way of doing things, to facilitate better living in societies.
PEO3: Unleash and nurture the creativity of students for implementation of improved ideas, knowledge and practices
PSO1: Ability to apply the fundamental concepts of Artificial Intelligence and Machine Learning to design and develop solutions to multidisciplinary problems of social concern.
PSO2: Ability to use the inculcated experiential learning for research and development activities in compliance with National Education Policy.
2023-24 VII SEM TIME TABLE [download here]
2022-23 III SEM TIME TABLE [download here]
2022-23 V SEM TIME TABLE [download here]
2021-22 IV SEM TIME TABLE [download here]
2021-22 III SEM TIME TABLE [download here]
Third Internal Test Time Table 2022-23 V Sem [download here]
Third Internal Test Time Table 2021-22 IV Sem [download here]
Third Internal Test Time Table 2021-22 III Sem [download here]
Second Internal Test Time Table 2021-22 III Sem [download here]
First Internal Test Time Table 2021-22 III Sem [download here]
DEPARTMENT CALENDAR OF EVENTS 2022-23 III SEM [download here]
DEPARTMENT CALENDAR OF EVENTS 2022-23 V SEM [download here]
INSTITUTE CALENDAR OF EVENTS 2022-23 III SEM [download here]
INSTITUTE CALENDAR OF EVENTS 2022-23 V SEM [download here]
INSTITUTE CALENDAR OF EVENTS 2021-22 IV SEM [download here]
INSTITUTE CALENDAR OF EVENTS 2021-22 III SEM [download here]
BE-AIML 22 Scheme & Syllabus [view here]
BE-AIML-21 Scheme [view here]
BE-AIML-21 Syllabus [view here]
BE-AIML-18 Scheme and Syllabus [view here]
The main purpose of newsletter is to encourage students and faculties to involve themselves in overall development. Newsletter includes the vision-mission of college and department along with encouraging words from Principal & HOD.
News letter mainly projects the events conducted and attended by students & Staff. It also throws light on the latest technology and views of Alumni about the department.
Dr. VIJAYALAXMI MEKALI
Associate Professor & Head
Name: Dr. VIJAYALAXMI MEKALI
Designation: Associate Professor & Head
Qualification: M.Tech, Ph.D
Department: Artificial Intelligence and Machine Learning
Dr. RAM P RUSTAGI
Professor
Name: Dr. RAM P RUSTAGI
Designation: Professor
Qualification: M.Tech, PhD
Department: Artificial Intelligence and Machine Learning
Prof. ANU MATHEWS
Assistant Professor
Name: Prof. ANU MATHEWS
Designation: Assistant Professor
Qualification: M.Tech(PhD)
Department: Artificial Intelligence and Machine Learning
Prof. SAHANA SHARMA
Assistant Professor
Name: Prof. SAHANA SHARMA
Designation: Assistant Professor
Qualification: M.Tech (PhD)
Department: Artificial Intelligence and Machine Learning
Dr. AMULYASHREE S
Assistant Professor
Name: Dr. AMULYASHREE S
Designation: Assistant Professor
Qualification: M.Tech, PhD
Department: Artificial Intelligence and Machine Learning
Prof. LAKSHMI K K
Assistant Professor
Name: Prof. LAKSHMI K K
Designation: Assistant Professor
Qualification: M.Tech
Department: Artificial Intelligence and Machine Learning
Prof. ROOPA K MURTHY
Assistant Professor
Name: Prof. ROOPA K MURTHY
Designation: Assistant Professor
Qualification: M.Tech
Department: Artificial Intelligence and Machine Learning
Prof.NAGABUSHAN PANDARINATH
Assistant Professor
Name: Prof.NAGABUSHAN PANDARINATH
Designation: Assistant Professor
Qualification: B.E, M.S(USA)
Department: Artificial Intelligence and Machine Learning
Ganesh ML
Lab Instructor
Name: Ganesh ML
Designation: Lab Instructor
Qualification: Bachelor of Computer Applications
Department: Artificial Intelligence and Machine Learning
LAKSHMI
Lab Instructor
Name: LAKSHMI
Designation: Lab Instructor
Qualification: ITI
Department: Artificial Intelligence and Machine Learning
Rakshitha B D
Office Assistant
Name: Rakshitha B D
Designation: Office Assistant
Qualification: B.Com
Department: Artificial Intelligence and Machine Learning
SHAKUNTALA V
Attender
Name: SHAKUNTALA V
Designation: Attender
Qualification: Attender
Department: Artificial Intelligence and Machine Learning
GANESH HOLLA
Attender
Name: GANESH HOLLA
Designation: Attender
Qualification: SSLC
Department: Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning Department has fully furnished State of Art laboratories. All laboratories are well-equipped to run the academic laboratories courses. Highly experienced Technical staff are available in all the laboratories to assist the students to carry out their lab sessions.
The Department has :
Libraries play a vital role in the development of any society by enhancing the cause of education and academic research. They cater to the information needs of thousands of people.
The department has its own library which has more than 500 text books and reference book catering to the needs of students as well as Teaching Staffs. The library preserves previous year's project, internship reports, journals; dissertation and seminar reports and the books contributed by Alumnis and these are available for students and staffs. Every year 50 to 100 books are being added to the stock. The students and Staffs borrow books from the library periodically. The department maintains separate register for borrowing books.
Placement Training will be provided to all semester students at the beginning of the semester.
Placement Drives will be arranged for final year students from August. Company Specific
Trainings will be arranged for final year students to grab more offers in their dream Companies.
Technical training sessions will be provided to Pre-final Year students.
"The department of AIML along with the department of CSE and CSD, in association with ISTE, hosted a workshop on " Building Computer Vision AI model" on the 8th of February 2023. The workshop started by welcoming the resource person Mr. Varun Poladiya from Navan ai, by the principal of KSIT, Dr. Dilip Kumar K, and the CEO of KSGI, Dr. KVA Balaji Sir. The head of the department of Computer Science Dr. Rekha Venkatapur, the HoD of Computer Science and Design, Dr. Deepa S R, and the HoD of Artificial Intelligence and Machine Learning Dr. Vaneetha M, graced their presence for the event."
2023-02-08
View more
"The department of AIML in association with IIC, hosted a technical talk on "AI AND INDUSTRY USE CASES SOLVED BY HPE" on Thursday,13 th of January 2023 between 1.30 pm to 3.30 pm. The program started by welcoming the speakers Mr. Narsimha Nikhil Raj Padal, Expert Engineer , HPE, and Mr. Yogesh Kumar Choubey, Senior Specialist Engineer, HPE by the Principal of KSIT, Dr. Dilip Kumar K and the CEO Dr. KVA Balaji. "
2023-01-13
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"The department of AIML hosted its mega non-technical event "Festaholic" under student club Aenfinity on December 28, 2022. Festaholic, a culmination of festivities, consisted of carnival stalls by students, external sponsors and various other events."
2022-12-28
View moreThe faculty of AI & ML department attends various MOOCS and training programs on advanced topics, update their knowledge and skills, and gives additional inputs in the classes. Further, the faculty conducts various innovative teaching and learning activities inside and outside the classrooms to engage the students effectively and efficiently. The teaching and learning activities conducted by the faculty for the improvement of student learning includes:
The instructional materials and pedagogical activities are uploaded in Google drive and the associated links are made available on institutional website for student and faculty access.
Instructional Materials are made available for public access.
Instructional Material 2022-23 [view here]
Instructional Material 2021-22 [view here]
Pedagogy is the method and practice of teaching an academic subject or theoretical concept. Pedagogical skills involve being able to convey knowledge and skills in ways that students can understand, remember and apply. Pedagogies involve a range of techniques, including whole-class and structured group work, guided learning and individual activity. Pedagogies focus on developing higher order thinking.
Pedagogical Activities [view here]
The Peer review forms associated with pedagogical activities are made available for public access, peer review, critique and further development.
Pedagogy Review Form [view here]
The Memorandum of Understanding details modalities and general conditions regarding collaboration between the INDUSTRY and KSIT. Also facilititate for enhancing and encouraging students for interactions between the Industry Experts, Scientists, Research fellows and Faculty members for knowledge sharing with the following objectives :
Rubixe THINK AHEAD INNOVATIONS PVT. LTD [view here]
CHIRANTHANA with a tagline of EVERLASTING FOREVER is the name given to KSIT ALUMNI ASSOCIATION, with a motto of uniting all the alumni members under the umbrella of KSIT and growing together forever.KSIT alumni association was started in the year 2014.The association provides a platform to their alumni?s to share their knowledge & experience with the budding engineers through technical talks, seminars & workshops.
Department of Artificial Intelligence and Machine Learning of KSIT has various professional bodies. Many workshops, technical talks, Guest lectures are organized in association with this professional bodies. This gives opportunity to students to enhance their knowledge on cutting edge technologies.
ISTE Events [view here]
IEI Events [view here]
Aenfinity Club Event "Microcosmos" [view here]
Aenfinity Club Event " Festaholic" [view here]
Students are facilitated by providing list of companies /Industries, where they can undergo 4 weeks of Internship/ Professional practice. College takes initiative to organize in house internship by calling resource persons from industry. Student cumulates their learning in a report on their internship/ professional practice and gives a presentation in front of internship coordinator and the guide.
The department strives to offer a great source of practical knowledge to students by exposing them to real working environment through Industrial visits. Regularly Industrial visits are arranged to organizations like Indian Space Research Organization, Karnataka State Load Dispatch Centre, All India Radio. Visits are arranged for students to view project exhibitions Organized by Indian Institute of Science, Visvesvaraya Industrial and Technological Museum, EMMA-Expo 2014 and so on. Also visits are arranged to places like HAL Heritage Centre and Aerospace Museum.
The department conducts the project exhibition in the even semester of every academic year. Students are encouraged to present their projects and mini projects to the invited guests and evaluators. The best innovative projects are selected and are awarded.
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Social Activities