College code

CET : E203

COMED-K : E067

PG-CET MTech : T909

PG-CET MBA : B198

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Welcome to K.S. School Of Engineering and Management, Admissions Open for the Academic Year 2022-2023. For Admissions contact 9900710055

Kammavari Sangham (R) 1952, K. S. Group of Institutions

K. S. SCHOOL OF ENGINEERING AND MANAGEMENT

 No.15, Mallasandra, Off. Kanakapura Road, Bengaluru-560109,  +919900710055

Affiliated to VTU, Belagavi & Approved by AICTE, New Delhi, Accredited by NAAC

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Welcome To Artificial Intelligence And Data Science

Preparing students as quality Data Science Professional and indispensable for the society through technical knowledge, research and entrepreneurship with professional ethics.

Profile

Artificial Intelligence (AI) and Data Science (DS) is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. B.E in Artificial Intelligence and Data Science (AI &DS) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like artificial intelligence, data science, machine learning and deep learning. The main goal of artificial intelligence (AI) and data science (DS) is to program computers to use example data or experience to solve a given problem. This specialized B.E. course is specially designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies.

Artificial Intelligence and Data Science B.E course prepare students with the skills to perform intelligent data analysis which is a key element in numerous real-world applications. During recent times, data science has emerged as one of the most high-growth, dynamic, and gainful careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in areas of machine learning and big data analytics. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.

Head Of The Department Desk

image

Dr. Manjunath T. K

Professor & Head

M.Tech, Ph.D

The department of AI and DS was established in the year 2020/2021 with the purpose of educating students and carrying out research in the domains of Artificial Intelligence & Data Science. Highly competent professors with rich experience from renowned universities in India and abroad make up the department. The department's goal is to provide students with world-class infrastructure, technologies , and extensive hands-on exposure through industry connect programmes in order to prepare them to be leaders in AI and DS.
The department's mission is to provide students with a broad exposure to research and career prospects while ensuring their academic achievement. The ultimate objective is to foster our students' academic achievement, industrial exposure, and exceptional career possibilities.

The department motivates the staff members to pursue higher studies and encourage them to attend conferences, workshops and publish papers in national / international conferences/journals. The department of AI and DS provides platform for the students to achieve their career goals and it is a pleasure to be the head of Ai and DS department.

Highlights of Department

  • Design-based learning and cutting-edge pedagogies.
  • Well-researched and carefully crafted curricula.
  • Facilities for modern research and infrastructure.
  • Personal growth and skill development.
  • Exciting Career Opportunities, Placements, and Internships.
  • Annual AI Prototype Exhibition/Programs.
  • Resources for entrepreneurship, innovation, and incubation.
  • The use of real-world applications.
  • Freedom in specialised streams.

ADVANTAGES OF AI & DS GRADUATES

  • As a specialized branch of the global technology, Bachelor of Engineering in AI & DS have a huge scope of growth with ample opportunities to make a mark in present world.
  • Artificial Intelligence and Data Science department in KSSEM is having best faculty who are expertise in the field of AI & DS.
  • AI & DS stream has lot of potential as Start-ups apart from Job Opportunities as most of the technology start-ups are having AI & DS integration.
  • Department encourage the students and guided by Industry mentors to inculcate the start-up culture in AI & DS.
  • The students apart from competing to acquire CSE related opportunities will also have AI & DS Specialization opportunities with salary package ranging from 4 LPA to 27 LPA.
  • Learning through Design/Implementation which is the course delivery practice for majority of the courses will make the student competent in getting high end jobs in the domain.
  • Design/Implementation oriented teaching will make the students innovative, challenging , competent ,which helps them to get into the product based companies with high salary packages and enables them to become entrepreneurs
  • The well-researched and crafted course curriculum for AI & DS will provide ample opportunities for the students to become master of the technology.
  • Hands on projects will help the student to use all the knowledge and practical exposure gained to solve a real-world problem by developing his/her own tool or solution.
  • A student is also exposed and well versed with the advanced tools through skilling part of a course making him/her future ready.
  • Credit based system helps the students to study the course with more emphasis in attaining global certifications

Academic programs offered:

UG Program:

Bachelor of Engineering (B.E.) in Artificial Intelligence and Data Science (AI & DS) with approved intake of 60 students and a lateral entry of 20% from 2nd year.

Vision

  • To be recognised globally for the excellence of Artificial Intelligence and Data Science Research and Innovation .

Mission

    Department of Artificial Intelligence and Data Science shall,
  • To deliver a high-quality education by fostering a transformative environment where students are encouraged to thrive in their academic endeavours, to prepare students to obtain application knowledge in the burgeoning industry and to become deeply knowledgeable in artificial intelligence and data science.
  • To give students the opportunity to fully develop their own skills and realise their potential while being taught by experienced, skilled, and committed staff, to uphold a degree of competence and standards in all the courses they take to become experts in data science and artificial intelligence
  • To improve and equip students with the skills they need to favourably impact society through the use of this cutting-edge technology.

PROGRAM OUTCOMES

PO-1 :

Engineering Knowledge : Ability to use knowledge of science, arithmetic, engineering basics, and a particular technical speciality to solve complicated engineering issues.

PO-2 :

Problem Analysis : Ability to recognise, formulate, conduct literature reviews, and use first principles of mathematics, natural sciences, and engineering sciences to understand difficult engineering issues in mechanical engineering

PO-3 :

Design/Development of solutions : An ability to design solutions for complex engineering problems and system component or processes that meet the specified needs considering public health & safety and cultural, societal & environment

PO-4 :

Conduct Investigations of Complex problems : An ability to use research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of the information to obtain solutions to engineering problems

PO-5 :

Modern Tool Usage : Modern tool usage : Ability to create, select and apply appropriate techniques, resources and modern engineering activities, with an understanding of the limitations.

PO-6 :

The Engineer and Society : Ability to 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

PO-7 :

Environment and Sustainability : Ability to demonstrate the knowledge of engineering solutions, contemporary issues understanding their impacts on societal and environmental contexts, leading towards sustainable development.

PO-8 :

Ethics : An ability to apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice

PO-9 :

Individual and Team Work : An ability to function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO-10 :

Communication : Ability to communicate effectively oral, written reports and graphical forms on complex engineering activities

PO-11 :

Project Management and Finance : Ability to demonstrate knowledge and understanding of the engineering and management principles and apply those one's own work, as a member and leader in team, to manage projects and in multi-disciplinary environments.

PO-12 :

Life-Long Learning : An ability to recognize the need for and having the preparation and ability to engage independent and life-long learning in broadest context of technological change.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Graduates of B.E. program in Artificial Intelligence and Data Science will be able to :

PEO-1 :Practice engineering in a broad range of industrial, societal and real-world applications.

PEO-2 :Pursue advanced education, research and development, and other creative and innovative efforts in science, engineering, and technology, as well as other professional careers.

PEO-3 : Conduct themselves in a responsible, professional, and ethical manner.

PEO-4 : Participate as leaders in their fields of expertise and in activities that support service and economic development throughout the world.

Programme Specific Outcomes(PSOs)

PSO-1 : An ability to design and develop Artificial Intelligence technology into innovative products for solving real world problems.

PSO-2 : An ability to design and develop Data Science methods for analysing massive datasets to extract insights by applying AI as a tool.

Research and Development

Artificial Intelligence and Data Science Research and Development Center is established in the year 2014-15. The Management of the institution has supported financially to start the research activities. R&D is established to motivate Faculty and students to participate in various technical events such as conferences, technical quizzes and workshops to enhance their technical and soft skills. The AI & DS Department R & D center has 1 Doctorate guiding students towards Ph.D. in various areas. There are 03 research scholars pursuing their research in this center. We have dedicated R & D LAB, IEEE Access and Library facilities for all research scholars and research students. R & D Center has well qualified and experienced team of faculties and students involved in various research activities. The knowledge is shared and transfered to the industry through teaching, paper publications, collaboration, entrepreneurship, etc. By integrating engineering disciplines into one R&D department, we can address major challenges and develop complete solutions, serving as an international hub for engineering excellence. Faculty and students are involved in research activities and setup CLOUD in the R&D centre.

R & D Activities

Sponsored Projects

Ph.D Pursuing

Ph.D Awardees

Time Table

A planned schedule to provide students a healthy window for preparations, which includes Learners Teachers Rooms Time slots.

Class Time Table

Test Time Table

Calendar of Events

UG (B.E in AI & DS)

News letter

Faculty

Mrs. Pavana H

Mrs. Pavana H

Assistant Professor

Mrs. P S Geetha

Mrs. P S Geetha

Assistant Professor

Mrs. Madhusmita Mishra

Mrs. Madhusmita Mishra

Assistant Professor

Supporting Faculty

Mrs. Lakshmi Naveen

Mrs. Lakshmi Naveen

Office Assistant

Mr. Revansiddappa

Mr. Revansiddappa

Programmer

Mr. Girish C J

Mr. Girish C J

Programmer

Mrs. Asha B

Mrs. Asha B

Attender

Testimonials

Heartfelt words from our students.

Video Testimonials

Heartfelt words from our students.

Department Achievers

List of FCD Students

Department Labs

Artificial Intelligence and Data Science 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.

Departmental Library

Libraries are established for the systematic collection, organization, preservation and dissemination of knowledge and information. It is very important for person to preserve and maintain the valuable knowledge and information contained in the books and documents because we want to preserve our knowledge and wisdom for the coming generations. By preserving the documents in a library this knowledge can be made available to others so that they can benefit from it.

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 peoples.

Collection Of books

Placement Details

During the course the students are given theoretical and hands-on training inProgramming Techniques, Database Management Systems, Microprocessors, Operating Systems, Compilers, Designing algorithms and other Application Softwares.


Events

E-resources

A large number of Electronic Resources are available for all the subjects.

All the users of library resources of KSSEM must adhere to copyright laws of publishers and consortia.

No copyrighted work may be copied, published, disseminated, displayed, performed, without permission of the copyright holder except in accordance with fair use or licensed agreement. This includes DVDs/CDs and other copyrighted material. Using these resources for commercial purpose, systematic downloading, copying or distributing of information is prohibited. KSSEM may terminate the online access of users who are found to have infringed copyright.

Teaching And Learning

The faculty of aids 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:

  • Teaching with working models, simulations and animated videos
  • Assignments which include Miniprojects and Case studies
  • Conduction of online and classroom quizzes, surprise class tests, open book assignments, group discussions, seminars etc.
  • Usage of ICT, Pupilpod and Google classrooms for posting assignments and lecture materials
  • Usage of Google forms and Kahoot for online interaction, assessment and evaluation

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

Instructional Materials are made available for public access.

Pedagogical Activities

Pedagogy is the method and practice of teaching an academic subject or theoretical concept. Pedagogical skills involves 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.

Pedagogy Review Form

The Peer review forms associated with pedagogical activities are made available for public access, peer review, critique and further development.

Lab Manuals

MOUs Signed

The Memorandum of Understanding details modalities and general conditions regarding collaboration between the INDUSTRY and KSSEM. 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:-

  • Collaboration in conduction of conferences, workshops, seminars and hackthons.
  • Provides industry exposure to KSSEM students.
  • Mutually agreed guidance for student's projects and scholar's reserarch works through internship and industrial training.
  • Provision given for the usage of institute infrastructure by industry like library, internet and computational facilities etc.

Alumni Association

An alumni association is an association of graduates or, more broadly, former students of the college.the purpose of association is to foster a spirit of laws and to promote the general welfare of the institution.

Associations exist to support the institution's goal, and strengthen the ties between alumini, the community and the institution.

NBA Links

Professional Bodies

Higher Education

The department conduct higher studies awareness program in order to motivate the students to do higher studies both within the country and abroad. The department in association with training and placement department helps students in understanding the importance of attempting various competitive exams like GATE, IELTS, GRE, TOEFL etc.

    High-end Master's programs are: M.S, M.Tech, or M.E. in :
  • Artificial intelligence
  • Data Science
  • Machine Learning
  • Embedded systems
  • Knowledge-based systems
  • Bio-informatics
  • Software Engineering
  • Systems Engineering.
  • Distributed Computing
  • Image Processing
  • Information Security
  • Cyber Security

Computer Science & Engineering Department Forum

ENCRYPTONITES

The association was inaugurated by President Sri Subramanyam Naidu, Hon. Secretary Sri S. R. Naidu, Principal/Director Dr. S.N.Sridhara, Chief Guests Mr. R. K. Shanthikiran, Engineering Manager, CISCO and Mr. Anantha Padmanabha Naidu, AGM, HCL Technologies. Chief Guests had inspired the students saying "Learning never ends".

Main Objective of Forum :

  • Bringing in high level of interaction between the students and Resource experts and to organize technical sessions, workshops through a close tie-up with the Industry.

Club Activities :

External Links (Club)

Internships

Internships are foundational in preparing students for the workforce and providing opportunities after graduation. Most employers seek career-ready college graduates who have been equipped with prior experiences and skills in a given field. An internship is important because it can present you with new skills and opportunities that student would not receive otherwise. Interns not only gain technical knowledge within the industry of their choice, but they also learn how to interact with professionals in a workplace setting, and develop essential soft skills like time management, organization, adaptability, problem-solving and teamwork. An internship is the best way to gain work experience as a student. Internships give you the valuable practical experience needed along with theoretical knowledge. Employers often note that there is a disconnect between the requirements of the industry and the academics. This gap can be bridged by an internship and pitch you as an ideal candidate.

Projects

Final year project is one of the most important aspects of Engineering degree. Final year project will be the first exposure to the full rigour of Engineering practice. It is essential that students learn from this exposure and practise all of the engineering methodologies involved. It is particularly important that students learn not just to apply what they know, but to apply it with judgement.

Mini-Projects

Mini projects for engineering students give an edge over the race of recruitment to work hard to ensure a good career. By taking up mini projects, students can gain practical knowledge. The technical skills can only be improved by taking up mini projects. Students become more productive.

Social Activities

Other Details

Faculty Development Programme

Industrial Visit

Objectives of industrial visit is to provide students an insight regarding internal working of companies. Students know, theoretical knowledge which is not enough for making a good professional career. With an aim to go beyond academics, the department conducts industrial visit provides student a practical perspective on the world of work. The department also provides the visit to premier institutions like IISc and IIIT during Open Day and Open House respective events to give students awareness to newer technologies that help them in deciding the project topics during their final year.

Project Exhibition

Project Presentation is organized to evaluate the projects by experts from Academic Institutions and/Industry. The students demonstrate the projects to the jury. The evaluation is done and 2 prizes are awarded for the best projects.

Artificial Intelligence and Data Science Engineering

With Industries adopting and evolving to use more Artificial Engineering and Data Science in improving products, services, and enabling better evaluation to enhance decision making, the future truly lies in this field.

While a degree in Artificial Intelligence prepares specialists in the area of intelligent machines and systems, Data Science is a more specialised subdiscipline of AI that deals with algorithms and statistical models to create computer systems capable of self learning.

With the innovation expected to double along with employee productivity in India by 2021, Data Science and Artificial Engineering is amongst the highly Valued Engineering Program.

India is currently ranked 3rd in the world in high quality research publications and are pushing to be the pole position. With more investments and initiatives set to be launched for this field, the possibilities seem limitless and it is safe to say, the future is here and it is AI & DS.


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Computer Science and Business System

In today's world, Millennials are embracing digital technology at a rapid pace and there is an ever-growing need of engineering graduates to be well versed with digital technology adopted by new and upcoming businesses. There is equal emphasis by businesses to cater to universal human values and same is incorporated as part of National Education Policy. The course of computer science and business systems is designed to train the engineering graduates meeting these needs. This course represents amalgamation of two branches, namely, a) computer science, and b) Business management.

The core focus of this course will entail
a) Assimilation of emerging and contemporary technology,
b) familiarization of common business practices, and
c) Empathy, Ethics and universal human values.

Every business segment is critically dependent upon use of computer systems for all of its operations and decision making. This course aims at familiarizing computer engineering graduates with business terminologies so that they can fit into any business operations. A business often requires quick and immediate analysis which is accomplished with by scripting languages with basic knowledge of programming skills using state of the art technologies.

This course gives an exposure to business communication, research methodologies, human resource management, operations research, operations management etc. that are very important in running any business organization. Graduates having this degree could pursue a post graduate program either in computer science or in business administration. These graduates would be apt to take up the critical roles in all those business organizations that are driven by Business software systems, use of Cloud Computing, Machine Learning and Analytics.


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