JSS Academy of Technical Education, Bengaluru is proud to start Bachelor of Engineering (B.E) program in Artificial Intelligence and Machine Learning from the current year 2021 with an intake of 60. This can be attributed as a result of the Institutions’ potential and also the significant contributions made to AI & ML field.The emergence of the department is also the consequence of the huge demand from the industry, and the need to address emerging real world applications and research problems arising in this rapidly evolving field. The current intake for the program is 60. Faculty with expertise in AI & ML and allied fields have good teaching and research experience to impart quality education in AI & ML through state-of-the-art learning environment. Funded projects related to AI & ML applications and research is being implemented at the Institution. Several Patents and publications are accomplished in AI & ML domain. Awards and recognitions are conferred from reputed organizations to faculty for their contributions to the field. Workshops, seminars and National/International conferences on AI & ML are organized regularly.
To keep abreast with Industry requirements and standards, Industry Experts are involved in curriculum development and course delivery. Several MoUs with Industries are established for Students Training, Seminars, Internships and Project works. Well established teaching-learning processes will be practiced to effectively implement student-centric outcome based education. The department will offer various Students’ forum/clubs for students to exhibit their talent in curricular and co-curricular activities. Mentoring system exists to help students at the individual level for Professional guidance, career advancement, course work specific issues and for all-round development.
With these strengths, the departments’ endeavor is to train the students on strong foundations of AI and ML to meet the emerging challenges of industry and society.
A major goal of the Department is to provide students with hands-on training, project-based classes, research projects and internships that can be integrated into interdisciplinary teams in order to invent the future. Among the many demands of the IT industry, the curriculum at the Department of AI&ML is meticulously planned and continuously updated by university.In this era of technology, exposure to real world problems is a must, and every student is provided with an environment which shapes them into a confident individual with the necessary skills to fit into any role in the industrial world.
| # | Program Educational Outcomes :-The Graduates will be able to: |
|---|---|
| PEO-1 | Graduates shall possess vital skills to familiarize to emergent technologies & environment to solve tangible world problems. |
| PEO-2 | Graduates shall have the ability to carry out research in the advanced areas of AI & ML and address the needs of the society. |
| PEO-3 | Graduates shall have essential managerial skills to become competent professionals and entrepreneurs. |
| # | Program Specific Outcomes :-The Graduates will be able to: |
|---|---|
| PSO-1 | Apply the ideologies of Basic Engineering Science to gain the hardware and software features of Computer Science. |
| PSO-2 | Ability to design and develop AIML applications using numerous software and hardware tools. |
| PSO-3 | Exhibit the real-world competence using extensive range of programming languages. |
| # | Program Outcomes :-The Graduates will be able to: |
|---|---|
| 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 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. |
| 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 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 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. |
Artificial Intelligence (AI) and its applications have brought enormous changes to our lives. AI attempts to bring in intelligence into machines artificially by mimicking the human intelligence. AI refers to machines and solutions that imitate "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving”. Machine learning (ML) is the study of computer algorithms that improve through experience and by the use of data. It is seen as a part of artificial intelligence which tries to build self-learning ability into the machines. It is about machines improving from data, knowledge, experience, and interaction. AI & ML is an upcoming field in the area of computer science that is rapidly expanding its boundaries to variety of fields like manufacturing, agriculture, healthcare, data security, entertainment, education, gaming, finance, social media, autonomous transportation, robotics, e-commerce, natural language processing and many more.
As the requirement for technology and its problem-solving abilities continues to grow, more companies have recognized the need to adopt AI and ML algorithms to create smarter, more personalized and insightful solutions. Every impactful technology company now has an Artificial Intelligence team in place. These companies are investing billions to build intelligent systems. Companies such as Google, Facebook, and Amazon are not just employing AI, but have made it a central part of their core intellectual property. Machine learning and deep learning will create a new set of jobs in the coming years. An under graduate degree in this discipline would make the graduates industry-relevant and also enable them for higher studies, research and entrepreneurship in the most sought-after AI and ML field.
This program provides cutting-edge mathematical foundations, programming skills and AI tools & techniques required to create smart solutions to drive innovation across all spheres.
Through this program, Graduates are equipped with the knowledge and skills of computer science & engineering and advanced technologies of AI & ML and are in a favorable position to be part of the AI-driven technological revolution to create meaningful change and measurable impact for businesses and society.
| # | (Specialization) |
Yrs |
||||||
|---|---|---|---|---|---|---|---|---|
| 1 | Dr. ANIL B.C | B.E.,M.Tech.,Ph.D. (Image Processing/Big Data/Machine Learning) |
Associate Professor & Head |
13-02-2013 | hodaiml @jssateb.ac.in |
|||
| 2 | Mrs. ANUSHA J | B.E.,M.Tech |
Assistant Professor | 08-12-2024 | anushaj @jssateb.ac.in |
| Mr. Lingaraju. M.N | lingarajumn@jssateb.ac.in | ||||
| Mr. Manuraj L | manurajl@jssateb.ac.in | ||||
| Mrs. Pooja M | poojam@jssateb.ac.in |
| Mr. Veerabhadraswamy. R | rveerabhadraswamy@jssateb.ac.in |
AI and ML are important drivers of digital transformation and have created plethora of job opportunities. There is a huge demand for skilled engineers trained in these technologies. AI & ML has created several roles like AI developer, Data Engineer, Data Analysts, Data scientist, Automation and Optimization Engineer, Natural Language Processing Scientist, Game developer, Robotics Engineer, Computer vision Engineer, Research Scientist, Machine Learning developer, Data warehouse engineer, AI Consultant, Machine Learning Architect etc.
The program equips students for careers in corporate sector, R & D and government organizations in various computer science & engineering jobs and AI & ML jobs in particular. Further through various initiatives students will be encouraged for higher education and research.
Adobe, Amazon, IBM, Accenture, Flipkart, Cognizant, Wipro, Mindtree, TCS, Bosch, Infosys, Onedirect, avenseus, Huawei, Licious, HSBC, Unisys, HCL, Mphasis
Samsung, Intel, Cognizant, Onedirect, AOL, Betsol, Textron, Prnston, Credator, Advanced systems Pvt. Ltd, Headspin, Evertz, mUni Campus
The four year B.E program in Artificial Intelligence and Machine learning comprises 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 and core computer science courses like computer architectures, data structures and algorithms, operating systems, programming languages like Java and Python, Database technologies, communication networks. Students are imparted with basic and advanced courses related to AI & ML like principles of AI, advanced machine learning, digital image processing, neural networks and deep learning. Apart from the core courses, Students get to exposure to learn advanced and multidisciplinary courses relevant to AI & ML like computer vision, natural language processing, Internet of Things, Robotic process automation etc. The program includes good number of practical courses, mini and major projects and Internships.
• M/s.Wipro
• M/s Honeywell
• M/s Intel
• M/s. Qualitas Technologies Pvt. Ltd.
• M/s.Tequed Labs Pvt. Ltd.
