Department Of Computer Science And Engineering (Artificial Intelligence and Machine Learning)
Welcome to the new way of learning at the Department of Artificial Intelligence & Machine Learning in SAI VIDYA INSTITUTE OF TECHNOLOGY (SVIT) , Bengaluru that promotes quality teaching learning process, creativity, innovation and employability.
The Department of Artificial Intelligence & Machine Learning (AIML) offers BE in Computer Science and Engineering (Artificial Intelligence and Machine Learning) which is approved by AICTE and is affiliated to VTU, Belagavi from the academic year 2021-22. The exciting journey of the department the emerging domain of Artificial Intelligence and Machine Learning started in the year 2021 offering an undergraduate B.E. program with an intake of 60 students. From 2022-23 the intake is increased to 120 students.
The Department is headed by Dr. T G Manjunath a PhD holder from VTU with 20 years of teaching experience. The department is equipping itself with well qualified teaching faculty with rich research, teaching and industrial experience and is committed to impart rigorous training to students to generate knowledge through the state-of-the-art concepts and technologies in AI & ML, and transform the Department as a leader in imparting AI & ML education and research.
The Department practices Outcome-Based Education (OBE) and has an adequate infrastructure with state-of-the-art laboratories and other supporting facilities to provide enhanced learning environment. The Department attracts the best of engineering aspirants from all over the country.
Industry 4.0 demands smart systems integrated with intelligence to have better human-machine interface. To cope up with upcoming emerging industrial demands, it is expected to bring translational skills among the students of the Artificial Intelligence and Machine Learning undergraduate programme to meet the expectations of the industry.
Course Overview
We offer a 4 year B.E program in Computer Science and Engineering (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, Analysis and Design of Algorithms, Operating Systems etc.
Third & Fourth Year: consists of Automata Theory, Database Management system, Python, advanced subjects pertaining to Artificial Intelligence and Machine Learning such as Machine Learning with Deep Learning, Soft and Evalutionary Computing, Decision Supports System, Intrdoction to Soft Computing, Human Computer Interaction, Knowledge and Data Engineering, 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
AI in Healthcare: Healthcare is one area where there is a lot of scope for AI applications. PwC estimates that it would be one of the biggest winners from AI, where job opportunities could increase by nearly 1 million. In the near future, AI-powered healthcare will be available at a scale and on-demand for everyone. Hence, the requirement for AI-assisted healthcare technician jobs will see an upward surge.
AI in the Gaming Industry: The gaming industry is one area where AI applications are immense. Right from game design and development to in-game operations and maintenance, AI plays an indispensable role that is reaping huge rewards for gaming companies. With virtual reality games becoming highly popular, companies are bound to invest a lot of money on AI-based systems. Thus, AI developer jobs in gaming will be in high demand.
AI in Automated Transportation: AI is already playing a major role in the automated transportation sector. Companies like Uber and Google are investing millions of dollars into AI-driven self-driving cars and trucks. As this mode of transportation picks up in the future, it is going to create plenty of vacancies for AI and machine learning engineers
AI in Financial Services: Financial Services companies such as banks require AI engineers to develop systems that can identify and mitigate fraud. They are also using machine learning based anomaly detection models to monitor transaction requests and identify suspicious activity. Apart from security, AI is being increasingly used in financial marketing. Financial companies are developing systems that can orchestrate customer journeys on their most preferred channels and at the right time. Thus, in the Financial Services sector, the AI job scenario is highly positive.
AI in Education: PwC’s recent report revealed that the education sector is poised to get almost 200,000 extra jobs. The education industry is slowly shifting towards e-learning. Concepts such as smart content, personalized learning, and other data-driven operations depend heavily on AI. An eSchool News study indicated that the application of AI in education will be increased by 47.5% by 2021. For facilitating such growth, the industry will need to hire plenty of AI and machine learning experts.
AI and Digital Assistants: Digital assistants such as the Google Assistant, Siri, Alexa, and Bixby are getting smarter by the year. Global IT behemoths such as Google, Samsung, and Amazon are pouring billions of dollars into making digital assistants perform complex tasks. These tasks include learning about our daily routines, speech recognition, etc. According to Zion market research, by 2025, the global intelligent virtual assistant market will reach $19.6 billion. This estimate purely indicates that a large amount of AI jobs will get generated in this industry.
Quick Facts
Vision
To develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning to architect Strong India and the world
Mission
To develop professionals who are skilled in the area of Artificial Intelligence and Machine Learning to meet the industry needs.
To provide necessary strengths and develop self-learning ability among the student to innovate and become entrepreneurs.
To promote research and development in the frontier areas of Artificial Intelligence and Machine Learning.To inculcate moral ethics in students enabling them to become socially committed professionals with leadership qualities.
- PEOs
- POs
- PSOs
- Activities
- Achievements
Program Educational Objectives (PEOs)
PEOs are broad statements that describe the career and professional accomplishments that the program is preparing graduates to achieve:
PEO 1 : Graduates will have the ability to Analyze, Develop and Apply Innovative ideas to solve real-world problems using Artificial Intelligence and Machine Learning techniques.
PEO 2 : To pursue higher studies, Graduates will have the ability to contribute novel and scientific research-oriented methods in the Artificial Intelligence and Machine Learning area.
PEO 3 : Excellence in Entrepreneurial Skills, professionalism, moral and ethical conduct, understanding of social context, and strong communication skills to meet the industry's expectations.
POs are Statements that describe what students are expected to know and be able to do upon graduating from the program. These relate to the skills, knowledge, analytical ability, attitude and behavior that students acquire through the program.
PO 1 :
Engineering Knowledge - Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2 :
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.
PO 3 :
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.
PO 4 :
Conduct Investigation 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.
PO 5 :
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.
PO 6 :
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.
PO 7 :
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.
PO 8 :
Ethics - Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9 :
Individual and team work - Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10 :
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.
PO 11 :
Project management & 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 multidisciplinary environments.
PO 12 :
Life Long 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.
PSOs are the statements that describe what students are expected to know and be able to do in a specialized area of discipline upon graduation from a program.
PSO 1 :
PSO 2 :
PSO 3 :