Stthomas College

Department profile


St.Thomas College of Engineering and Technology(STC) Chengannur was established during the academic year 2010-2011. Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) is the youngest department in the STC family. It was formed by the bifurcation of the parent Computer Science and Engineering department. A team of dedicated & well qualified faculty members having expertise in diversified areas of AI & ML under the headship of Dr. Teena Joseph is running the department.

Department currently offers following course :

B.Tech in Artificial Intelligence & Machine Learning in the year 2021. The courses offered in this department aim at helping students to acquire all the basic and advanced level skills & knowledge that are crucial in the field of Computer Science, Artificial Intelligence and Machine learning.In addition to academics, the department conducts several extra-curricular and co-curricular activities that aims at the holistic development of the students.

Why STC CSE(AIML)

We believe in delivering a state of the art experience to every student undertaking our programmes.
Choosing the CSE department means committing to a future of innovation, problem-solving, and endless possibilities. Whether you aspire to work in a high-tech company, start your own tech venture, or contribute to groundbreaking research, the CSE department provides the foundation and opportunities needed to achieve your goals.

To create industry ready and socially skilled Computer Science Engineers.

M1: Provide a learning platform that encourages thinking and analytical ability in the area of computer software and hardware.

M2: Inculcate and lifelong and professional skills through the interaction of academicians and industrialists.

M3: Engage with society through social programs in and out of campus.

To create industry ready and socially skilled Computer Science Engineers.

M1: Provide a learning platform that encourages thinking and analytical ability in the area of computer software and hardware.

M2: Inculcate and lifelong and professional skills through the interaction of academicians and industrialists.

M3: Engage with society through social programs in and out of campus.

Dr. Teena Joseph
Professor and Head Department of CSE(AIML)
teenajoseph@stthomascollege.ac.in

Message from the HoD

The BTech CSE(AIML) program stands at the forefront of innovation, offering students a unique opportunity to delve into the realms of artificial intelligence and machine learning – two of the most transformative technologies of our time. As the world increasingly relies on automation, data-driven decision-making, and intelligent systems, the demand for professionals proficient in AIML continues to soar.
The future scope of the BTech CSE(AIML) program is not only promising but also expansive. Graduates of this program are poised to embark on fulfilling careers across diverse industries, including but not limited to healthcare, finance, manufacturing, entertainment, and beyond.Moreover, the BTech CSE(AIML) program is meticulously designed to blend cutting-edge technology with a comprehensive understanding of foundational computer science principles. Students will not only gain expertise in machine learning algorithms, deep learning architectures, and natural language processing but also cultivate a strong computational foundation that enables them to adapt to evolving technological landscapes.
As we embrace the future with optimism and determination, I encourage all students, faculty, and staff to actively engage in the BTech CSE(AIML) program and seize the countless opportunities it offers. Together, let us shape a future where artificial intelligence and machine learning empower us to create a better world for generations to come.

PO1: Engineering knowledge:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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.

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.

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.

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.

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.

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.

PO8: Ethics:
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and team work:
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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.

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

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.