Department of CSE(Artificial Intelligence & Machine Learning)
The Department of CSE(Artificial Intelligence & Machine Learning)
Is for students...
who are innovative thinkers and for those who want to master the world of technology. Students should have strong mathematical and analytical skills to understand how digital technologies can be used as drivers of innovation. This course provides a cutting-edge exploration of programming, mathematics, and analytics to create out-of-the-box designs with digital technologies necessary to drive innovation across borders and sectors.
Courses offered
- BE in CSE (Artificial Intelligence & Machine Learning) — 120 intake
Why Aritificial Intelligence & Machine Learning?
Artificial Intelligence (AI) is a new and upcoming program in the area of computer science that is rapidly expanding its boundaries to variety of fields like healthcare, security, entertainment, education, autonomous transportation, intelligent robots, space exploration, speech processing, stock trading and many more. AI and its applications have brought significant changes in our lives. AI tries to bring in intelligence into machines artificially by mimicking the human intelligence. Machine learning (ML) is an application of AI that tries to build self-learning ability into the machines. AI and ML are important drivers of digital transformation and have created plenty of job opportunities. There is a huge demand for skilled engineers trained in these technologies. A Degree in this program is valuable and makes the student industry relevant.
Course Overiew
We offer a 4 year B.E program in CSE(Artificial Intelligence and Machine learning) which covers fundamentals of computer science courses along with necessary courses pertaining to AI and ML. This course helps to gain primary knowledge and skills in mathematics, network architectures. computer vision, programming, ,communication networks, and machine learning subjects such as, natural language processing, image analysis, text analytics and their applications in areas from vision to automated reasoning where machine learning techniques are applicable.
First year – The students study the subjects that are common to all the engineering disciplines.
Second year – Core subjects in Computer Science such as Data Structures, Computer Organization, Data communication and Computer Networks, Discrete Mathematics, Automata Theory, Analysis and Design of Algorithms, Signals and Linear Systems, Operating Systems, Database Management, AI with Python etc.
Third and fourth year consists of advanced subjects pertaining to Artificial Intelligence and Machine Learning such as Machine Leaning with Deep Learning, Computer graphics and Visualization, Big Data, Advanced statistics, Image processing, Pattern recognition, Internet of Things, Cloud Computing, Reinforcement Learning etc. The course includes mini project, internship and major projects.
Career Opportunities
Artificial Intelligence and Machine learning has created several roles like Data Engineer, Automation and Optimization Engineer, Natural Language Processing Scientist, Game developer, Robotics Professional, Research Scientist, Machine Learning developer, AI Consultant, Machine Learning Architect for expert professional in major organizations.
Vision
To develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning for noteworthy contributions to the society.
Mission
- Provide profound learning through proficient staff and state of the art infrastructure
- Promote professional environment to imbibe ethical values and entrepreneurial skills
- Encourage research & development by emphasizing on innovation
- Facilitate Industry-Institute collaboration for mutual benefit
Program Educational Objectives (PEO’s)
Our graduates will
PEO1: Sustain a successful career by providing solutions to societal needs
PEO2: Enhance the leadership qualities and ethical values to work efficiently in multi-
disciplinary environments
PEO3: Explore research opportunities and embrace lifelong learning to meet the
advancements in Technology
Program specific outcomes (PSO)
Our graduates will
PSO1: Analyze, Design, Implement and Test Complex Systems by applying suitable algorithms, data structures and object-oriented technology.
PSO2: Apply appropriate tools and techniques of Communication and Security to provide reliable solutions.
PSO3: Demonstrate the knowledge of Artificial Intelligence, Machine Learning and Data Engineering by designing and developing intelligent systems.
Program Outcomes (PO’s) based on NBA graduate attributes
Engineering Graduates will be able to:
- Engineering Knowledge: Apply the knowledge of mathematics, science, engineering, fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- Modern tool usage: Create, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Environment and sustainability: Understand the impact of the professional Engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- Ethics: Apply ethical principles and commit professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in Multi-disciplinary environments.
- Lifelong learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.
Teaching Staff
Non-Teaching Staff
Year Wise Placements
See the list of campus selected students in the previous years below:
Funding Proposals
| Sl. no. | Project Title | Funding Agency | PI / CoPIs | IRG in Lakh Rs. | Date of Submission | Status |
|---|---|---|---|---|---|---|
| 1 | Development of Infrastructure to establish a Laboratory in Artificial Intelligence for Agriculture, Horticulture and Healthcare based applications | VGST Scheme under Karnataka Fund for Infrastructure Strengthening in Science & Technology (K-FIST LI). | Dr. Vinutha D C, Mr. Vijay C P | 13,78,672 | 23/02/2022 | Submitted |
| 2 | Artificial Intelligence and Machine Learning for IoT Based Application | VGST Scheme for Faculty Development Programme | Dr. Vinutha D C, Mr. Vijay C P | 3,38,000 | 23/02/2022 | Submitted |
| 3 | Funding for conducting workshop on “Data Analytics using Python” | KSTA | Mr. Vijay C P | 20,000 | 30-01-2022 | Sanctioned |
Paper Publications
| Sl. No. | Name of Faculty | Title | National/International Journal | UGC CARE-II Journal/SCI/Web of Science/Springer/Scopus | Year of publication |
|---|---|---|---|---|---|
| 1 | Dr. Vinutha D. C. | Artificial Intelligence for Innovative Practices in Education System | International | International Journal of Research Trends in Computer Science & Information Technology (IJRTCSIT) | 2020 |
| 2 | An improved feature selection approach for chronic heart disease detection | International | Journal of Open Access: Bulletin of Electrical Engineering and Informatics | 2021 | |
| 3 | Budget Constraint Scheduler for Big Data Using Hadoop MapReduce | International | Journal of SN Computer Science | 2021 | |
| 4 | Optimization of RFM for automated breast cancer detection | International | International Journal of Health Sciences | 2022 | |
| 5 | An Optimized Clustering Approach for Automated Detection of Abnormalities in MRI Brain Images | International | International Journal of Health Sciences, 2022 | 2022 |
Infrastructure
Contact us
Get in touch with us. We are always happy to help you out
Coding Competition
State Level Coding Competition – CodeHunt 2K23
State Level Coding Competition – CodeHunt 2K23
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FDP
Two-day FDP on “AI in IoT and Computer Vision” sponsored by KSTA and VVCE, ISTE Chapter on 29th and 30th of July 2022
Learn more »Hackathon
Newsletter
Other Activities
Model Building Activity
4th sem Students of CSE(AI&ML) Participated in Model Building Activity. Students took real time challenges, created models and solved using various algorithms. This activity helped them to understand algorithms and its implementation in solving real time problems.
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Visited Infosys Campus
3rd sem Students of CSE(AI&ML) visited Infosys Campus, Mysuru as part of Industrial visit on 06th March 2023
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Outreach activity
Conducted Outreach activity in association Hithasristi club at Govt. High School, Brindavan Extension, Mysore on 09th Jan 2023
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Student Achievements
Student Internship
Technical Talks
Job readiness by IBM Skills Build
Technical Talk-Job readiness workshop by IBM Skills Build
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Technical Talk on AR/VR Technology
Technical Talk on AR/VR Technology for 5th semester students on 06th Dec, 2022
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Technical Talk on Emotional Intelligence
Technical Talk on Emotional Intelligence for 3rd semester students on 26th Dec, 20222
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Technical Paper Writing Skills and Technical Project Execution
Technical Talk on “Technical Paper Writing Skills and Technical Project Execution” on 25th of January 2023 - Dr Sriram, Chair IEEE-EMBS, Bangalore Chapter Professor, Dept of Medical Electronics MSRIT, Bangalore
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TT-Data Structures
Technical Talk on “Data Structures” on 23rd Feb 2023 – Mr. Deepak B S, Specialist, ETA (Education Training & Assessment), Infosys, Mysuru
Learn more »Workshops
Data Analytics using Python
Two-day workshop conducted on “Data Analytics using Python” on 30th Sep 2022 and 01st Oct 2022 - Dr. Vinutha D C, Prof. Vijay C P, Mr. Shivakumar M, Ms. Soujanya R
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Network Simulation Using NS2
One-day Workshop conducted on “Network Simulation Using NS2” on 21st Jan 2023 - Dr. Gururaj H L, Associate Professor, Dept of IT, Manipal Institute of Technology, Bengaluru
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End-to-End Machine Learning Bootcamp
One-day workshop on End-to-End Machine Learning Bootcamp on 23rd December 2022 - Mr. Hemanth Kumar A, Senior Data Scientist, Brillio Technologies Pvt. Ltd.
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Object Oriented Concepts: An Industry Approach
Two-day Workshop on “Object Oriented Concepts: An Industry Approach” on 24th & 25th of January 2023 - was Mr. Shreenath Waramballi, Corporate Trainer
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Embedded AI
Five days Training on “Embedded AI “from 27th Feb 2023 to 3rd March 2023 by Trainer from Digitoad Technologies Pvt. Ltd., Bengaluru
Learn more »CET Code: E071 | COMED-K Code: E147 Apply now