In 2020–2021, the Department of CSE (Artificial Intelligence and Machine Learning) was established. Understanding and mimicking human cognition is at the heart of the emerging field of artificial intelligence and machine learning, or AIML. In many fields of study and business, artificial intelligence (AI) and machine learning (ML) are taking the lead in problem-solving methodologies. AIML applications can be found in a wide range of businesses and products, including advertising, speech recognition, search engines, medical diagnosis, robot control, and more. Through the development of numerous applications in the fields of healthcare, transportation, process control, citizen services, and the facilitation of data-driven and informed decision making, artificial intelligence and machine learning will benefit society.
Students enrolled in the AIML program can focus on AI, ML, and related subjects while receiving a cutting-edge, industry-focused curriculum that blends a smooth, all-encompassing learning experience. An outstanding career/placement opportunity in reputable core companies is offered by this program. The department is fully operational, with a distinguished faculty fraternity and deserving students who possess a sharp mind.
VISION & MISSION OF THE DEPARTMENT
VISION & MISSION OF THE DEPARTMENT
Vision:
To produce intellectual persons those are technically proficient and skilled in order to fulfill the demands of the contemporary computing industry
Mission:
- To offer a solid foundation in both theory and practice for AI in computer applications.
- To offer pupils the resources they need to become active, engaged, global citizens and lifelong learners
- Organizing with AI activities to enable overall development of stakeholders and serve the community.
PO’s:
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A graduate of the Computer Science and Engineering (AIML) Program will demonstrate: |
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PO1: |
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
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PO2: |
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. |
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PO3: |
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. |
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PO4: |
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. |
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PO5: |
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. |
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PO6: |
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. |
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PO7: |
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. |
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PO8: |
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
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PO9: |
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
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PO10: |
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. |
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PO11: |
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. |
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PO12: |
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. |
PEO’s:
A graduate of the Computer Science and Engineering (AIML) Program should:
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PEO – I |
Students will establish themselves as effective professionals by solving real problems through the use of AI in computer science knowledge and with attention to team work, effective communication, critical thinking and problem solving skills. |
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PEO – II |
Students will develop professional skills that prepare them for immediate employment and for life-long learning in advanced areas of computer science and related fields. |
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PEO – III |
Students will demonstrate their ability to adapt to a rapidly changing environment by having learned and applied new skills and new technologies. |
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PEO – IV |
Students will be provided with an educational foundation that prepares them for excellence, leadership roles along diverse career paths with encouragement to professional ethics and active participation needed for a successful career. |
PSO’s:
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A graduate of the Computer Science and Engineering (AI & ML) Program will:: |
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PSO1: |
Focus on exploring supervised, unsupervised and reinforcement learning and apply them to a range of AI problems. |
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PSO2: |
Make use of AI and ML techniques for industrial applications in the areas of Autonomous Systems, IOT, Cloud Computing, Robotics, Natural Language Processing and emerging areas. |
HOD Message
From the Artificial Intelligence and Machine Learning Department of Siddhartha Institute of Technology & Sciences (SITS), Hyderabad, Greetings, it is a great joy for me to be the head of the Department of Computer Science and Engineering (AI&ML), which aims to provide students with cutting-edge, high-quality instruction so they can flourish academically.
Since the department’s founding in 2020–21, its academic record has been excellent. MOUs are being negotiated with prominent industries, and collaborations with associations such as CSI and ISTE are underway.
With an emphasis on creativity and innovation, the CSE(AI&ML) course is backed by committed faculty members who work hard to motivate and uplift their students. Students’ collaboration is encouraged through projects and extracurricular activities. A proctor keeps a close eye on each student’s overall development and informs the parents of the same.
The department’s mission statement is to prepare students for the workforce through high-quality technical education. Our aim is to make sure that our engineering graduates are capable of leading projects, solving problems, starting their own businesses, and being moral members of society at large.
This 4 year undergraduate course of Computer Science & Engineering with specialization in Artificial Intelligence & Machine Learning is designed to make the professional technically sound in advanced learning systems that are based on algorithm of Artificial Intelligence.
Siddhartha Institute of Technology & Sciences offers a four-year under-graduate B.Tech. course in Artificial Intelligence and Machine Learning which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand in the crowd and grow careers in the upcoming technological era.
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S. NO. |
COURSE |
LEVEL |
DEGREE |
INTAKE |
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1 |
Computer Science Engineering (Artificial Intelligence and Machine Learning) |
UG |
B.Tech |
120 |
