CSE (Artificial Intelligence)
The Department of
Computer Science and Engineering (Artificial Intelligence) was established with
the objective of blending strong foundations in core computer science with the
rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML).
The department is committed to nurturing technically proficient, innovative,
and ethically responsible professionals who can design and develop intelligent
systems to solve complex real-world problems. With the increasing adoption of
AI technologies across industries, the department aims to prepare students to
meet global technological demands and contribute meaningfully to societal
advancement.
The academic framework
of the department is carefully designed to provide a balanced combination of
theoretical knowledge and practical skills. Students are introduced to
fundamental subjects such as Data Structures, Algorithms, Operating Systems,
Database Management Systems, Computer Networks, and Software Engineering, which
form the backbone of computer science education. Building upon this foundation,
the curriculum advances into specialized domains including Machine Learning,
Deep Learning, Natural Language Processing, Computer Vision, and Reinforcement
Learning. Strong emphasis is placed on mathematical and statistical concepts
such as Linear Algebra, Probability, and Optimization, which are essential for
understanding and developing AI models.
The department is
equipped with modern laboratories featuring high-performance computing systems
and the latest software tools to support AI research and development. Smart
classrooms and high-speed internet facilities create an effective learning
environment that encourages innovation and collaboration. Students gain
hands-on experience through laboratory sessions, mini projects, internships,
and major projects that focus on real-time AI applications.
OBE
Mission
M1: To impart advanced theoretical and practical education in Computer Science and Artificial Intelligence to solve complex engineering problems.
M2: To establish strong collaborations with premier AI industries and research organizations for hands-on internships, active mentoring, and curriculum enrichment.
M3: To cultivate high professional ethics, global awareness, lifelong learning attitudes, and a strong sense of social responsibility among graduates.
Vision
To be an internationally acclaimed center of excellence in Computer Science and Artificial Intelligence education, driving breakthrough research and producing ethical professionals capable of transforming society through intelligent automation.
PEO
- PEO 1: Graduates will possess strong foundational knowledge in computing, mathematical logic, and machine learning models to build scalable intelligent systems.
- PEO 2: Graduates will successfully adapt to emerging AI technologies, continuous professional growth, and leadership roles in cross-functional global teams.
- PEO 3: Graduates will demonstrate exemplary ethical standards, societal consciousness, and sustainable engineering approaches in designing AI applications.
PSO
- PSO 1: Ability to apply state-of-the-art machine learning algorithms, deep neural networks, and automated reasoning tools to process large-scale multi-modal datasets.
- PSO 2: Capability to design, optimize, and deploy end-to-end intelligent software architectures for edge devices, cloud environments, and autonomous systems.
CDS
The Curriculum Delivery System integrates direct classroom instruction with interactive flipped-classroom models, live coding sessions, and continuous formative assessment. Specialized topics are reinforced using interactive cloud-based AI workspaces and interactive Jupyter notebooks.
PO
- PO 1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and AI concepts.
- PO 2: Problem Analysis: Identify, formulate, and analyze complex AI and computing problems.
- PO 3: Design/Development of Solutions: Design smart solutions for complex engineering problems with societal constraints.
- PO 4: Conduct Investigations of Complex Problems: Use research-based methods to analyze data and synthesize valid conclusions.
- PO 5: Modern Tool Usage: Create, select, and apply advanced computing and AI modeling tools.
- PO 6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal responsibilities.
- PO 7: Environment and Sustainability: Understand the impact of computational solutions in environmental contexts.
- PO 8: Ethics: Apply ethical principles and commit to professional ethics of data privacy and AI fairness.
- PO 9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams.
- PO 10: Communication: Communicate effectively on complex computing activities with the engineering community.
- PO 11: Project Management and Finance: Demonstrate knowledge and understanding of management principles.
- PO 12: Life-long Learning: Recognize the need for, and have the preparation to engage in independent learning.
COT Attainment
Content for COT Attainment will be updated shortly.
Student Outcome
Content for Student Outcome will be updated shortly.
Teaching Learning Process
Our Teaching Learning Process emphasizes experiential learning through real-world Kaggle challenges, automated continuous evaluation pipelines, collaborative peer programming, and mandatory industrial real-world project phases under faculty guidance.
DQAC
The Department Quality Assurance Cell monitors academic delivery standards, outcome attainments, and standardizes continuous internal evaluation procedures to ensure strict compliance with institutional criteria.
DAB
The Department Advisory Board comprises seasoned industry leaders, distinguished academicians, and prominent alumni who convene periodically to review curriculum enrichment tracks, technological alignment, and infrastructure upgrades.
Mission & Goals
Vision
Mission
- Provide high-quality technical education
- Promote research and innovation
- Develop ethical and skilled professionals
- • Work as a competent professional in industry, government and academia.
- • Lead a team adhering to ethical values.
- • Conversant with technological changes and contemporary scientific advances to address the societal needs.
- 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- 9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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.
- After the completion of the course CSE (Artificial Intelligence) the graduates will be able to
- • Model, design and analyse mechanical systems and components applying mathematical and scientific principles, taking into account the socio-economic factors considering environmental implication.
- • Apply engineering principles to components and materials to develop innovative products
- • Lead a team with innovative Managerial skills and work professionally
Optional: Hostel Fees
₹6,500 / month (Includes accommodation & mess)
One-time deposit: ₹10,000 (Refundable)
Leadership
Prof. Annie Chacko
Infrastructure
Academics
- Opportunities for internships, seminars, and interdisciplinary learning
- Fosters innovation, critical thinking, and professional development
- Balanced blend of fundamental sciences and advanced courses
- Periodically updated per industry and technology trends
Batch-wise Academic Calendars
- 2019 Batch
- 2020 Batch
- 2021 Batch
- 2022 Batch
- 2023 Batch
| Sl.No | University | Details |
|---|---|---|
| 1 | KTU 2024 | Available |
| 2 | KTU 2019 | Available |
| 3 | KTU 2015 | Available |
| 4 | MGU | Available |
- Lectures – Conceptual and theoretical foundation
- Lab work – Hands-on experimental learning
- Simulation – Virtual modelling and analysis using industry-standard software
- Project-based learning – Real-world problem solving and innovation
Events & News
| Year | Date | Event Title | Report |
|---|---|---|---|
| 2025 | 20-02-2026 | MECH TRIX | Y |
| 2024 | 21-02-2024 to 23-02-2024 | WELDING WORKSHOP | Y |
| 2024 | 16-03-2024 | MECH TRIX | Y |
| 2023 | 10-10-2023 | Test drive and road show | Y |
| 2023 | 11-09-23 to 16-09-23 | Autocad The Chief TekTon | Y |
| 2023 | 26-04-2023 | Mechspot | Y |
| 2023 | 06-01-2023 | Association Program (ARME). | Y |
| 2022 | 13-9-22 | Technical talk by our alumni Mr. Pramod on the topic “ MECHANIZATION FOR MECHANICAL ENGINEERS” | N |
| 2022 | 17-5-22 | Technical talk by our ex-staff Mr. Denix Sebastian on a session on ANSYS for the final year students of the department. | N |
| 2021 | 01-02-2021 | COURSE ON ADDITIVE MANUFCTURING | N |
| 2021 | 02-08-2021 | TALK ABOUT CARRIER OPPORTUNITIES IN MECHANICAL FIELD | N |
| 2020 | 14-01-2020 | ADD ON COURSE 3D PRINTING WORKSHOP | N |
| 2020 | 05-05-2020 | NATIONAL CONFERENCE - NCAME'20 | N |
| 2020 | 01-07-2020 | ONLINE CLASS DETAILS | N |
| 2019 | 12-02-2019 | Technical talk on Virtual Reality Demo | N |
| 2019 | 15-02-2019 | Technical Talk on Introduction To Product Modelling and Design using FUSION 360 | N |
| 2019 | 20-02-2019 | Technical Training Talk on Designing and Manual Calculation of HVAC using Revit MEP | N |
| 2019 | 22-02-2019 | Interactive sessions with SAK Robotics | N |
| 2019 | 08-04-2019 | P G Diploma in Manufacturing and Design using CATIA | N |
| 2019 | 10-05-2019 | National Conference on Advances in CSE (Artificial Intelligence) 2019 on 10th May 2019 | N |
| 2019 | 16-07-2019 | FDP on OBE | N |
| 2019 | 20-08-2019 | Technical Talk on OPPORTUNITIES AND CHALLENGES IN MARINE ENGINEERING | N |
| 2019 | 21-08-2019 | Technical Talk by Mr.Savio Joseph, Designer in Germany and the Chief Behind BMW KUDUMBA Project | N |
| 2018 | 04/08/2018 to 09/08/2018 | Piping design Addon course - Wingfotech | N |
| 2018 | 24-11-2018 | ASME chapter inauguration | N |
| 2018 | 23/07/2018 to 27/07/2018 | HVAC Addon Course - AMBIT AUTOMATION | N |
| 2018 | 18-12-2018 | FDP on Optimisation techniques Engineering Research and Stratergies to Improve Citations of Research | N |
| 2017 | 10/04/2017 to 20/04/2017 | Primevara Classes - Addon course | N |
Explore our highly anticipated departmental newsletters detailing breakthrough student achievements, expert guest talks, published papers, and upcoming technical symposia.
- INTELLIX 25 AI Newsletter - Published April 2026
- AI Horizon Bi-annual Technical Digest - Published Dec 2025
Research and Publication
Placements
| No | Industry | Date | Area of Collaboration |
|---|---|---|---|
| 1 | CAD Point Authorized training centre, Kuttikkanam | 10/11/2023 | Collaboration with Department of CSE (Artificial Intelligence). a) Training for students b) Provide practical exposure to 3D assemblies and 2D documentation. |
| 2 | Kerala Development and Innovation Strategic Council - KDISC | 29/02/2024 | Collaboration with Department of CSE (Artificial Intelligence). a) Analyse industry trends, technological advancements and market demands to ensure skill development programs align with industry needs in Kerala context as well as globally. b) Creation of industry-relevant curriculum and competency-based training programs with support of associated industries. c) Established industry standards and benchmarks to conduct skill assessment for certification |
| 3 | Inter -CAD systems , PVT Limited, Kochi | 7/8/2024 | Provides training in Auto-CAD, Revit, MEP, STAAD , Primavera |
| 4 | Arcite Educational Solutions Pvt Ltd. | 6/10/2023 | Provides training on Sustainable engineering and green building concepts. Immense supports for internships ,placements and self-branding of students. |
| 5 | CILL Associates private Ltd | 26/10/2023 | Provides industrial training for students, joint research activities in the field of Land Survey Engineering using modern machines and technology |
| Sl. No | Batch | Status |
|---|---|---|
| 1 | 2021-2025 | To Be Declared |
| 2 | 2020-2024 | To Be Declared |
| 3 | 2019-2023 | Available |
| 4 | 2018-2022 | Available |