College code
CET : E203
COMED-K : E067
PG-CET MTech : T909
PG-CET MBA : B198
Notification |
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
Announcement |
Workshop on Applied Artificial Intelligence |
| Department of AI & DS organised a workshop on Applied Artificial Intelligence from 30-9-24 to 09-10-24.It was conducted by Edunet Foundation sponsored by Microsoft and SAP |
Workshop on AI foundation course |
| AI & DS department has organised a 3 days workshop on AI Foundation course for 3rd semester students from 23-10-24 to 25-10-24 |
Orientation on TechSaksham Programme by Edunet Foundation |
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Edunet Foundation sponsored by Microsoft & SAP conducted Orientation on TechSaksham Programme for 3rd and 5th Semester, Department of AI & DS.
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Expert Talk on Systems Engineering |
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Expert Talk on Systems Engineering by Lead Systems Engineer, Mr. Kantha Chikkegowda was conducted on 23rd November, 2023.
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Workshop on Microsoft Azure AI Fundamentals |
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Workshop on MS Azure AI Fundamentals was conducted by Microsoft for four days on 25th, 26th November, 2nd and 3rd December, 2023.
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Career Guidance |
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Career Guidance by Mr. Narayan R, JB Portals Founder was conducted on 8th December, 2023.
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Project Maangement with git by Mr.Hanumanth Reddy |
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Hands on session on project management with git by Mr. Hanumanth Reddy conducted on 08.01.24 for 3rd semester students
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Technical talk on Generative AI |
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Technical talk on Generative AI by Mr. Sridev Ramesh and Mr. Siddhant Goswami is being organized by Dept of Artificial Intelligence and Data Science on 10th January, 2024
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Internship insights |
| Department of AI&DS organized internship insights by RamKumar V of Rubix company |
Expert Talk on Waste Management |
| Department of AI & DS is organized expert talk on Waste Management as part of NSS and SCR activities for III and V semester students on 06/03/24 |
Expert Talk on Power of AI |
| Department of AI&DS is organizing an expert talk on Unveiling the Power of AI-A data Science Perspective. Speaker: Megha B S(Seasoned Data Scientist ,Mevi Technology) |
Expert Talk on Power of AI |
| Department of AI&DS is organizing an expert talk on Unveiling the Power of AI-A data Science Perspective. Speaker: Megha B S(Seasoned Data Scientist ,Mevi Technology) |
Workshop on Deep learning using python |
| Workshop on Deep learning using python by Mevi Technologies from 23-05-2024 to 28-05-2024 |
Expert talk on how to ACE your Interview |
| Ace Your Job Interview: Expert tips from the IT Industry Ace Your Job Interview: Expert tips from the IT Industry : Ace Your Job Interview: Expert tips from the IT Industry : Ace Your Job Interview: Expert tips from the IT Industry Department of AI&DS organized expert talk on how to crack job interviews |
HAKARHON |
| The Department of Artificial Intelligence and data Science partnering with CSE,CSBS and ECE, in association with Mevi Technologies, proudly presents the much-anticipated 24-Hour Hackathon |
TechSaksham Programme |
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TechSaksham Programme (Fundamentals Course) will be conducted for 1 week by Edunet Foundation (Sponsored by Microsoft and SAP) in the month of January.
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Preparing students as quality Data Science Professional and indispensable for the society through technical knowledge, research and entrepreneurship with professional ethics.
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.
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.
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.
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 : 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.
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.
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.
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.
A planned schedule to provide students a healthy window for preparations, which includes Learners Teachers Rooms Time slots.
III Sem Class Time Table 2023-24 [download here]
V Sem Class Time Table 2023-24 [download here]
IV sem Class Time Table 2023-24 [download here]
VI Sem Class Time Table 2023-24 [download here]
III Sem Class Time Table 2024-25 [download here]
V Sem Class Time Table 2024-25 [download here]
VII Sem Class Time Table 2024-25 [download here]
III Sem IA1 2023-24 [download here]
V Sem IA1 2024-25 [download here]
VI Sem IA3 2023-24 [download here]
VI Sem IA2 2023-24 [download here]
IV Sem IA2 2023-24 [download here]
VI Sem IA1 2023-24 [download here]
IV Sem IA1 2023-24 [download here]
III Semester IA3 Time Table [download here]
V th Sem IA2 Time Table [download here]
III rd Sem IA2 time table [download here]
V Sem IA1 2023-24 [download here]
III Sem IA3 2022-23 [download here]
III Sem Lateral Entry IA1 2022-23 [download here]
III Sem IA2 2022-23 [download here]
III Sem IA1 2022-23 [download here]
V sem IA2 timetable 2024-24 [download here]
VII Sem IA2 timetable 2024-25 [download here]
III rd Sem IA2 2024-25 [download here]
3rd Sem Calendar Of Events 2022-23 Odd Sem [download here]
4th Sem Calender of Events 2022-23 Even Sem [download here]
3rd Sem Calander of Events 2024-25 odd Sem [download here]
5th Sem Calander odf Events 2024-25 Odd Sem [download here]
7th Sem Calander odf Events 2024-25 Odd Sem [download here]
3rd Sem Calendar of Events 2023-24 Odd Sem [download here]
5th Sem Calendar of Events 2023-24 Odd Sem [download here]
4th Sem Calendar of Events 2023-2024 Even Sem [download here]
6th Sem Calendar of Events 2023-2024 Even Sem [download here]
Mr. Manjunath T K
Associate Professor and Head
Name: Mr. Manjunath T K
Designation: Associate Professor and Head
Qualification: BE, MTech, (PhD)
Department: AI & DS
Mrs. Pavana H
Assistant Professor
Name: Mrs. Pavana H
Designation: Assistant Professor
Qualification: BE, MTech
Department: AI & DS
Mrs. P S Geetha
Assistant Professor
Name: Mrs. P S Geetha
Designation: Assistant Professor
Qualification: B.Sc, MCA
Department: AI & DS
Mrs. Madhusmita Mishra
Assistant Professor
Name: Mrs. Madhusmita Mishra
Designation: Assistant Professor
Qualification: BTech, MTech
Department: AI & DS
Ms. Harshitha H S
Assistant Professor
Name: Ms. Harshitha H S
Designation: Assistant Professor
Qualification: BE, MTech
Department: AI & DS
Mrs. K Padma Priya
Assistant Professor
Name: Mrs. K Padma Priya
Designation: Assistant Professor
Qualification: B.E ,M.Tech
Department: AI & DS
Mrs. Rajashree D Ingale
Assistant Professor
Name: Mrs. Rajashree D Ingale
Designation: Assistant Professor
Qualification: B.E, M.Tech
Department: AI & DS
Mrs.Tanushree Mohapatra
Assistant Professor
Name: Mrs.Tanushree Mohapatra
Designation: Assistant Professor
Qualification: BE, MTech
Department: AI & DS
Mrs.Kavyashree yadav J
Assistant Professor
Name: Mrs.Kavyashree yadav J
Designation: Assistant Professor
Qualification: BE, MTech
Department: AI & DS
Mrs. Shilpa Sannamani
Assistant Professor
Name: Mrs. Shilpa Sannamani
Designation: Assistant Professor
Qualification: BE(CSE), M.Tech.(CSE)
Department: AI & DS
Mrs. Pallavi V
Programmer
Name: Mrs. Pallavi V
Designation: Programmer
Qualification: B.E CSE
Department: AI & DS
Mr. Naresh P G
Programmer
Name: Mr. Naresh P G
Designation: Programmer
Qualification: B.Sc. Computer Sciences
Department: AI & DS
Mr. Manjunath S
Programmer
Name: Mr. Manjunath S
Designation: Programmer
Qualification: B.E EEE
Department: AI & DS
Ms. Hitha S
Programmer
Name: Ms. Hitha S
Designation: Programmer
Qualification: BE
Department: AI & DS
Mrs.Kalpana
Attender
Name: Mrs.Kalpana
Designation: Attender
Qualification: SSLC
Department: AI&DS
Mrs. Lakshmi G
Office Assistant
Name: Mrs. Lakshmi G
Designation: Office Assistant
Qualification: M Voc
Department: AI & DS
Mr. Ramu S
Attender
Name: Mr. Ramu S
Designation: Attender
Qualification: SSLC
Department: AI & DS
Mrs. Pavithra K M
Attender
Name: Mrs. Pavithra K M
Designation: Attender
Qualification: SSLC
Department: AI & DS
Heartfelt words from our students.
Heartfelt words from our students.
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.
Expert talk on Systems Engineering
Expert Talk on Waste Management
Fit and Fab
Department Sports Day 24/01/24
Internship Insights by Ramkumar V(Rubixe)
Technical talk on Generative Ai
Fresher's Day 2023-24
Freshers' Day 2023-24
Dept of AI & DS - 1st Year students meet Seniors
Career Guidance by Mr. Narayan R
Orientation on TechSaksham Programme
Workshop on MS Azure AI Fundamentals
Freshers' Day 2022-23
DAA - Expert Talk on 16/08/23
NSS Activity by AI&DS/Mech/Civil
NSS Activity by AI&DS/Mech/Civil
NSS Activity by AI&DS/Mech/Civil
NSS Activity by AI&DS/Mech/Civil
NSS Activity by AI&DS/Mech/Civil
Advanced Excel and Foundations of Data Science Workshop by IN-BIOT Pvt. Ltd. (Microsoft Associates)
TechSummit Visit 17th Nov, 2022-23
Expert Talk on Organic Farming 21st Feb 2022-23
IOT Workshop Jan 21st 22nd
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.
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.
"Online Orientation program was conducted by team from Edunet Foundation, to promote the objectives and benefits of this program"
2023-11-28
"Department of Artificial Intelligence and Data Science organized an expert talk on how to face job interview during campus drive and improve their skills by Mrs Geetha Narayanamurthy, Senior product manager, Data Analytics, Shell India Pvt. LTD"
2024-09-14
"Department of AI&DS Organised expert talk on Introduction to Cyber Security by Syeda Thasnim fathima, cyber security mentor, Rubixe"
2024-07-11
"Department of AI&DS Organised workshop on Data Analytics by Mrs. Megha B S, Trainer and Developer, Mevi Technologies LLP"
2024-06-04
"Department of AI&DS Organised workshop on Deep Learning using Python by Mrs. Megha B S, Trainer and Developer, Mevi Technologies LLP"
2024-05-23
"Department of AI&DS organized expert talk on Advanced DAA -Guide to successful interview by Dr. Girish Salanke "
2024-02-04
"Department of AI&DS Organized Expert Talk on Health,Nutrition and Fitness by Mr. Rajeev H B"
2024-02-29
"Department of AI&DS organized technical talk on Generative AI by Mr. Sridev Ramesh and Mr. Siddhant Goswami(100x Engineers)"
2024-01-10
"Department of Artificial Intelligence and Data Science, organized talk on career guidance by Mr. Narayan R, JB Portals Founder"
2023-12-08
"AI & DS department has organised a 3 days workshop on AI Foundation course for 3rd semester students from 23-10-24 to 25-10-24"
2024-10-23
"Internship on Microsoft Azure AI Fundamentals was conducted by IN_BIOT Pvt. Ltd., Microsoft associates. Resource Person: Mrs. Anjali, IN-BIOT Pvt. Ltd."
2023-11-25
"Department of Artificial Intelligence and Data Science organized a talk on System engineering and it's significance and relevance were introduced to the students. Resource persons: Mr. Kantha Chikkegowda"
2023-11-23
"Department of AI & DS organized expert talk on DAA - Resource Person (Mr. Girish Rao Salanke"
2023-08-16
"Workshop on Advanced Excel and Fundamentals of Data Science was conducted on 27th May, 2023 by IN-BIOT Private Ltd (Microsoft Associate)."
2023-05-27
"Department of AI & DS conducted Expert talk on Organic Farming and Waste Management as part of Social Connect and Responsibility"
2023-02-21
"25 th edition of Bengaluru Technology summit is India's flagship technology event and Asia's largest tech summit. It was held on 17/11/2022. The event fostered international engagements and discussions across domains including FinTech, EdTech, Semiconductors, and Biotechnology, among others, in the country. It is a conducive stage, where industry experts share their insights on technological advancements in varied sectors and where businesses create fruitful cross-linkages to further their growth in the realm of IT and BT."
2022-11-17
"Workshop impart knowledge in various cutting edge and emerging technologies. One such technology being IOT. Internet of things finds its application in industries that prefers automation, energy efficient systems and smart devices. Report state that more than 50 billion devices are connected with IOT by 2020.The resource person was Dr. Srinivas Setty, who vast experience and knowledge in the field of IOT. He has 32 years of extensive teaching experience. He has authored books and 15 technical articles in reputed journals like IEEE, Springer. His area of interest includes Microprocessor and Microcontroller, embedded systems, IOT and IP."
2023-01-21
"Department of AI & DS organised a workshop on Applied Artificial Intelligence from 30-9-24 to 09-10-24.It was conducted by Edunet Foundation sponsored by Microsoft and SAP"
2024-09-30
A large number of Electronic Resources are available for all the subjects.
1st year C- Certification link- [view here]
1st year Python- Certification link [view here]
1st year DSA- Certification link [view here]
2 nd year Java-certification link [view here]
2 nd year web-development-certification link [view here]
2 nd year SQL-certification link [view here]
3 rd year Matplotlib-certification link [view here]
3 rd year NumPy-certification link [view here]
3 rd year OpenCV-certification link [view here]
3 rd year Pandas-certification link [view here]
4 th year Big Data-certification link [view here]
4 th year Apache Spark-certification link [view here]
4 th year Kafka-certification link [view here]
3rd year Machine Learning-certification link [view here]
4th year Apache Flink certification link [view here]
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.
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:
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.
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.
Department CCM activities were conducted on 29th December 2023 [view here]
The Peer review forms associated with pedagogical activities are made available for public access, peer review, critique and further development.
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:-
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.
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.
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".
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.
Response to queries on FRT [view here]
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 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.
Mini project details (2021 batch) [view here]
Mini project details (2022 batch) [view here]
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 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.
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.
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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Social Activities