Department of

CSE (Artificial Intelligence)

Empowering Engineers of Tomorrow with Excellence, Innovation, and Values.

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.

Intake Capacity: 120 Seats

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.

Courses and Intake Capacity

The Department of CSE (Artificial Intelligence) at Mar Baselios Christian College of Engineering & Technology offers an undergraduate program designed to equip students with strong theoretical foundations and practical skills in CSE (Artificial Intelligence).

Programme Offered

  • Bachelor of Technology (B.Tech) in CSE (Artificial Intelligence)

Intake Capacity

The approved intake for the B.Tech CSE (Artificial Intelligence) program is 30 students per academic year.

Programme Highlights

  • Curriculum structured as per the guidelines of APJ Abdul Kalam Technological University (KTU)
  • Covers core subjects: Thermodynamics, Fluid Mechanics, Manufacturing Engineering, Machine Design, Heat Transfer, CAD/CAM and Automation
  • Emphasis on laboratory-based learning, project work and internships, industry exposure and training
  • Integrates both theoretical knowledge and hands-on practical experience, ensuring students are industry-ready

Career Opportunities

  • Manufacturing and production industries
  • Automotive and aerospace sectors
  • Energy and power industries
  • Design and simulation fields
  • Higher studies and research

● To provide advanced AI training, emphasizing modern technologies and research to solve real-world problems.

● To create a strong entrepreneurial ecosystem that unites industry and academia to drive innovation.

● Inspire students to facilitate the development of professional behaviour, ethical values for the betterment of the society.


To evolve as a Center of Excellence in Artificial Intelligence, fostering collaborative culture and shaping industry-ready engineers committed to serve the society.
  • PEO1: Think analytical skills to design innovative solutions for real-life challenges, preparing professionals for industry or entrepreneurship.
  • PEO2: Embrace lifelong learning to meet ever changing developments in Artificial Intelligence in a sustainable manner.
  • PEO3: Become socially responsible engineers with good leadership qualities and effective interpersonal skills with ethical responsibilities.
  • PSO1: Develop and apply practical knowledge to create innovative solutions and contribute new ideas.
  • PSO2: Analyze and design computational models and systems in domains related to Artificial Intelligence and robotics.
  • PSO3: Utilize advanced Artificial Intelligence concepts, methodologies, and strategies to develop sustainable, high-quality products leveraging AI technologies.

PO -2019 scheme

  • 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

PO -2024 scheme

  • 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. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO8. Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO9. 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.
  • PO10. 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.
  • PO11. 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.

Selected as District Winner – YIP 8.0

In a proud achievement for the institution, Dany Konnakottu Simon of S6 CSE-AI and Sharon Anna Geji of S6 CSE have been selected as District Winners in the prestigious Young Innovators Programme (YIP) 8.0, organized by K-DISC, Government of Kerala. The recognition was awarded for their outstanding innovation, creativity, and problem-solving skills demonstrated during the competition. The Young Innovators Programme is a significant initiative aimed at nurturing innovative ideas and encouraging young talents across the state. Competing among numerous participants, the team’s project stood out for its originality and practical relevance. Following their district-level success, the team has been shortlisted for the State Level Evaluation, marking another important milestone in their journey. This achievement brings great pride to the institution and highlights the growing culture of innovation among student.


Level 2 – Medal of Appreciation

Viknesh A, a sixth-semester student of Computer Science and Engineering (Artificial Intelligence), has been honored with the Level 2 – Medal of Appreciation at the prestigious I.A.C – iNNOVIZE International Online Talent Search Event. The recognition was awarded for his remarkable artistic excellence and outstanding creative proficiency. The international event brought together talented artists from across India as well as Non-Resident Indians from various countries, making the achievement highly significant. Viknesh’s artwork stood out for its quality, creativity, and unique expression, earning him appreciation at a global platform. This achievement reflects his dedication, passion, and talent in the field of art, bringing pride to the institution. The college community has extended heartfelt congratulations to Viknesh A and wished him continued success in all his future artistic endeavors.


COLLEGE UNION CHAIRPERSON-MBCCET 2026

Mar Baselios Christian College of Engineering and Technology (MBCCET), Kuttikkanam, Peermade, proudly announces the selection of the Chairperson for the College Union 2026. The position has been awarded to Kewin Mathew Koshy, a third-year student from the CSE–AI (Computer Science and Engineering – Artificial Intelligence) Department.The selection marks a significant achievement for the CSE–AI department, highlighting the leadership potential, dedication, and active involvement of its students in institutional activities. Kewin Mathew Koshy’s appointment reflects his commitment to student welfare, academic excellence, and collaborative leadership.


2nd runners-up position in the C-Zone Handball Tournament

Mar Baselios Christian College of Engineering and Technology (MBCCET) proudly congratulates the women’s handball team for securing the 2nd runners-up position in the C-Zone Handball Tournament. The team demonstrated exceptional teamwork, determination, and sportsmanship, bringing great pride to the institution. The winners from the CSE–AI Department are Ann Mary Binu (S2 A Batch), Ashly Mariyam Shibu (S2 A Batch), Abiah Shaiju (S4), and Anna Sunil (S4). Their achievement reflects dedication, discipline, and all-round excellence in both academics and sports.


AI Video Generation Competition

The μYear – AI Video Generation Competition was successfully conducted as part of MBC:80 under μLearn MBCCET, showcasing exceptional creativity and innovative applications of artificial intelligence. The competition provided a dynamic platform for participants to explore AI-driven storytelling by presenting unique and imaginative perspectives on New Year celebrations across diverse and creative themes.The event witnessed outstanding participation, with students demonstrating originality, technical excellence, and innovative use of AI tools in video generation. Each submission reflected a blend of creativity and technology, highlighting the potential of artificial intelligence in digital storytelling and visual media.The competition proudly announced Sneha Biju (S6 CSE AI) as the winner of the AI Video Generation Competition. Her work stood out for its creativity, conceptual depth, and effective integration of AI technologies. The winning poster features a visually striking design that blends fantasy and futuristic elements, symbolizing innovation, creativity, and the transformative power of artificial intelligence.


Poster Designing Competition

The Institution of Engineers (India) – MBCCET Student Chapter conducted a Poster Designing Competition as part of the Engineers’ Day 2025 celebrations. The event was organized in online mode with the theme “From Ideas To Impact: The Engineer's Role in Building Tomorrow”, encouraging students to creatively express the role of engineers in shaping the future. The competition received enthusiastic participation from students, showcasing innovative ideas and artistic talent. Ganga P Gopan (S6, CSE–AI) won the competition and was awarded a cash prize of ₹1000 for the outstanding poster design.


Women’s Chess Team Secures 2nd Runners-Up Position

MBCCET proudly congratulates its women’s chess team Arshina Beevi and Sneha Biju of S6 CSE–AI for securing the 2nd runners-up position in the C Zone Chess Tournament. Their commendable performance reflects dedication, strategic excellence, and sportsmanship. The institution extends heartfelt congratulations and wishes them continued success in future competitions.


Team FastByte 2.0 Selected as Global Nominees – NASA Space Apps Challenge 2025

Team FastByte 2.0 has brought pride to MBCCET by being selected as Global Nominees in the prestigious NASA Space Apps Challenge 2025. The team comprises Alan Thomas, Bibin Raju, Mathews Vinoy, and Melvin Sabu from S7 CSE, along with Elena Elizhiba Sony and Sivani S from S1 CSE AI-B. Their achievement reflects innovation, teamwork, and technical excellence.

TINKER HUB Campus Lead

Shaun David Prince, a student of S5 CSE-AI (2023–2027 Batch), has been selected as the TINKER HUB Campus Lead. His appointment marks a significant step toward fostering innovation and promoting technology-driven initiatives on campus. As Campus Lead, it will coordinate activities that encourage learning, collaboration, and creative problem-solving among students.

Women’s Day Celebration and Poster Competition

On the occasion of International Women’s Day, MBCCET organized a special celebration to honor and appreciate the achievements and contributions of women in various fields. As part of the event, a Poster Competition was held to encourage creativity and awareness about women’s empowerment. Karthik S. Kurup, a student of CSE-AI, participated enthusiastically in the competition and secured the Second Prize, showcasing exceptional artistic skills and a strong message through his poster.

TINK-HER-HACK HACKATHON

S4 CSE(AI) students(Alka Martin, Sneha Biju) have secured Third Position in the Tink-Her-Hack Hackathon held at MBCCET. The purpose of Priyam Web is to create a digital platform that simplifies life for elderly individuals by addressing the challenges they face in accessing and navigating technology.

INTERNATIONAL CONFERENCE, SENERGY-2025

AI Department participated in the Senergy Conference at MBC and secured the First Prize in the Decoration category! This achievement reflects our team's creativity, innovation, and dedication. A big thank you to everyone who contributed to this success.

SECOND PRIZE AT NAKSHATRA 2025

Aaron Sunu Mathew has secured Second Prize in Inkless Mysteries at Nakshatra 2025, a prestigious technical and cultural fest held at Saintgits College of Engineering, Kottayam.

PRIYAM-TINK-HER-HACK HACKTHON

S4 cse(AI) students(Alka Martin, sneha biju) have secured Third Position in the Tink-Her-Hack Hackathon held at MBCCET. The purpose of Priyam Web is to create a digital platform that simplifies life for elderly individuals by addressing the challenges they face in accessing and navigating technology.

NASA Space App Challenge Winners 2024

NASA Space App Challenge Winners Honored at CSE(AI), Mar Baselios Christian College of Engineering and Technology, Peermade Team Hoshiko of members Shaun David Prince-CSE(AI), Mohil C-CSE(AI), Manu V-CSE(AI), and Karthik S Kurup-CSE(AI) have been recognized for their outstanding contributions to the NASA Space App Challenge & their project was selected as one of the Top 10 Leading project and selected as Global Nominees. The local event was held at VISAT College in Elanji, Ernakulam.

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.

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1. INTRODUCTION

This report explains the academic process followed by the institution to ensure effective teaching–learning practices and to achieve the target pass percentage. The process includes course planning, academic activities, student mentoring, continuous assessment, and improvement strategies monitored through academic audits.

2. COURSE PLANNING AND CLASS COMMENCEMENT

At the beginning of each semester, course planning is carried out by the faculty members. This includes preparing lesson plans, scheduling lectures, and organizing teaching resources. Once planning is completed, classes commence according to the academic calendar.

3. ACADEMIC ACTIVITIES

The institution organizes different types of activities to enhance student learning and development:

• Curricular Activities:

Regular classroom teaching, laboratory sessions, and completion of syllabus as prescribed by the university.

• Co-curricular Activities:

Seminars, workshops, technical presentations, and academic competitions related to the course.

• Extra-curricular Activities:

Sports, cultural events, and club activities that contribute to overall personality development.

4. CLASS COMMITTEE MEETINGS

Periodic class committee meetings are conducted with faculty members and student representatives. These meetings help in reviewing course progress, collecting feedback from students, and addressing any academic difficulties.

5. STUDENT SUPPORT AND MENTORING

Faculty mentors provide academic and personal guidance to students. Mentoring helps identify students’ strengths and weaknesses and provides necessary support to improve academic performance.

6. INTERNAL ASSESSMENT AND RESULT ANALYSIS

Students are evaluated through internal assessment tests, assignments, and other academic activities. The results are analyzed to understand the overall performance of students and to identify both high-performing and weak students.

7. IDENTIFICATION OF BRIGHT AND WEAK STUDENTS

Based on the assessment results:

• Bright Students:

Students are encouraged to participate in advanced learning activities such as Massive Open Online Courses (MOOCs), research work, and paper publications.

• Weak Students:

Students are provided with remedial support to help them improve their academic performance.

8. REMEDIAL MEASURES FOR IMPROVEMENT

Remedial measures include special coaching classes, additional assignments, doubt-clearing sessions, and personal guidance from faculty members to help weak students perform better.

9. ACHIEVEMENT OF TARGET PASS PERCENTAGE

Through continuous monitoring, mentoring, and academic support, the institution aims to achieve the target pass percentage for each course and ensure overall academic success.

10. INTERNAL AND EXTERNAL ACADEMIC AUDITS

The entire academic process is regularly reviewed through internal and external academic audits. These audits ensure that the teaching–learning process meets quality standards and helps in implementing improvements wherever necessary.

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11. IDENTIFICATION OF STUDENT CATEGORIES Students are generally categorized based on their academic performance and learning pace into two groups: • Slow Learners • Advanced Learners This classification helps faculty members design appropriate support mechanisms to improve learning outcomes. 12. SUPPORT FOR SLOW LEARNERS Slow learners are students who require additional guidance to understand course concepts. To help them improve their academic performance, the following measures are implemented: • Remedial Classes: Extra classes are conducted to explain difficult topics in a simpler manner. • Group Study Sessions: Students are encouraged to learn collaboratively with peers to improve understanding. • Remedial Tests: Special tests are conducted to evaluate improvement after additional coaching. • Tutorial Sessions: Faculty members provide one-on-one or small group guidance to clarify doubts and strengthen basic concepts. These activities help slow learners gain confidence and improve their academic results. 13. OPPORTUNITIES FOR ADVANCED LEARNERS Advanced learners are students who demonstrate strong academic abilities and interest in deeper learning. The institution encourages them to enhance their knowledge and skills through the following activities: • NPTEL Courses: Students are motivated to enroll in online courses to gain additional subject knowledge. • Webinars and Workshops: Participation in academic webinars and workshops broadens their understanding of emerging technologies. • Technical Competitions: Students take part in technical events to apply their knowledge practically such as hackathons. • National and International Conferences: Advanced learners are encouraged to present research papers and participate in conferences. These initiatives help advanced learners develop research skills, technical expertise, and competitive readiness. 14. BENEFITS OF CATERING TO STUDENT DIVERSITY Providing tailored support for different categories of learners results in several benefits: • Improvement in overall academic performance • Increased student confidence and motivation • Enhanced skill development • Better preparation for higher education and career opportunities 15. CONCLUSION Catering to student diversity is an essential component of an effective teaching–learning process. By providing remedial support to slow learners and advanced opportunities for high-performing students, the institution ensures inclusive education and promotes academic excellence for all students.

The Department Quality Assurance Cell monitors academic delivery standards, outcome attainments, and standardizes continuous internal evaluation procedures to ensure strict compliance with institutional criteria.

Department Advisory Board (DAB) is constituted with the following members for the development and progress of the Electrical and Electronics Engineering Department for the academic year 2024–2025.


Sl. No.

NameDAB RoleDesignation & Organisation
1.Dr. V. I. GeorgeMemberPrincipal
MBC College of Engineering
2. Prof. Elias JansonMemberVice-Principal
MBC College of Engineering
3.

Prof. Annie Chacko

ConvenerHOD-CSE-AI
MBC College of Engineering
4.Mr. Alexy Meppurathu BinuIndustry RepresentativeFounder/CEO
Aetherspcae Ecosystem Bengaluru
5.Dr. Jubilant KizhakkethottamAcademic RepresentativeProfessor
Saintgits College of Engineering. Kottayam
6.Dr. P.V. RajaramanAcademic RepresentativeFormer HOD of AI&CTO
Adi Shankara Institute of Engineering & Technology, Kalady
7.Dr. Sangeetha JoseAcademic RepresentativeAsscoate Professor
Rajiv Gandhi Institute of Technology, Kottayam
8.Prof. Sandra S NairMemberAssistant Professor
MBC College of Engineering
9. Prof. Sobin MathewMemberAssistant Professor
MBC College of Engineering
10.Merlin Joshi MemberAssistant Professor
MBC College of Engineering
11.Prof. Jeena Mary KurianMemberAssistant Professor
MBC College of Engineering
12.Mr. John K SamuelParent RepresentativeTeacher
St. Stephens Higher Secondary School, Pathanapuram
13.Mr. Kevin Mathew KoshyStudent RepresenttativeS4-CSE-AI
MBC College of Engineering


Fee Structure 2026
Management Quota (Per Year)
₹90,000 / year
CSE(AI)/CSE
NRI Quota (Per Year)
₹135,000 / year
CSE(AI)/CSE
One-Time Fees: ₹17,000 (Paid at admission)
Caution Deposit are refundable

Optional: Hostel Fees

₹6,500 / month (Includes accommodation & mess)

One-time deposit: ₹10,000 (Refundable)

Department Leadership

Prof. Annie Chacko

• Head of Department (Computer Science Engineering With Artificial Intelligence)
“As the Head of the Department of CSE (Artificial Intelligence), it gives me immense pleasure to welcome you all to the Department of Computer Science and Engineering (Artificial Intelligence). CSE(AI)department is established in the year 2023 with 60 intakes. In this era of rapid technological ad...”
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Faculty & Staff

Facilities - Overall description

The Department of Computer Science & Engineering (Artificial Intelligence) provides students with state-of-the-art and modern laboratory facilities to support both academic and research-oriented learning. In addition to the laboratories mandated by the university syllabus, the department offers advanced facilities designed to nurture innovation, experimentation, and research in emerging areas of Artificial Intelligence

Lab Name, details and photos

  • IT Workshop
  • Python Programming Lab
  • C Programming Lab
  • Data Structures Lab
  • Operating System Lab
  • Database Management System Lab
  • Artificial Intelligence & Machine Learning Lab
  • Robotics Lab
  • System Software Lab

Department Library

The Department Library of the CSE-AI department has recently introduced a collection of academic journals, providing students with access to up-to-date research, technical papers, and advancements in the field of Computer Science and Artificial Intelligence. These journals are valuable for enhancing knowledge, supporting assignments, and guiding research activities.

In addition to journals, the library also maintains a collection of mini project reports completed by previous students. These reports are carefully preserved and made available for reference, helping current students understand project structure, methodologies, and implementation ideas. This serves as a useful resource for inspiration and guidance while working on their own projects.

The library is managed under the supervision of Prof. Merlin Joshi, who ensures proper organization, accessibility, and maintenance of all resources. She also guides students on how to effectively utilize the available materials for academic growth.

Facilities and Resources

  • Collection of core textbooks covering all major CSE (Artificial Intelligence) subjects
  • Availability of reference books for advanced study and competitive exams
  • Access to previous year question papers and study materials
  • Manuals and lab records for practical courses
  • Selected journals and magazines related to engineering and technology

Key Features

  • Supports both curriculum-based learning and self-study
  • Provides easy access to subject-specific materials within the department
  • Acts as a quick reference center for projects and seminars
  • Maintained and updated periodically as per syllabus requirements

Utilization

  • Students: Exam preparation, assignments and seminars, mini and major project work
  • Faculty: Teaching support, research and content development
The Department Library complements the central library by providing immediate access to essential academic resources, thereby enhancing the overall teaching-learning process within the department.
The curriculum of the CSE (Artificial Intelligence) program at Mar Baselios Christian College of Engineering & Technology is designed in accordance with the guidelines of APJ Abdul Kalam Technological University (KTU). It provides a balanced blend of fundamental sciences, core CSE (Artificial Intelligence) subjects, and advanced specialized courses.
The curriculum emphasizes both theoretical knowledge and practical application through laboratory work, workshops, and project-based learning. It is periodically updated to incorporate emerging technologies and industry requirements, ensuring that students are equipped with relevant skills and competencies.
  • 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
The scheme of the CSE (Artificial Intelligence) program at Mar Baselios Christian College of Engineering & Technology is structured as per the guidelines of APJ Abdul Kalam Technological University (KTU), ensuring a systematic progression of courses across semesters with a balanced focus on theory, practical learning, and project work.

Batch Wise Calendars

The Academic Calendar of the CSE (Artificial Intelligence) program at Mar Baselios Christian College of Engineering & Technology provides a structured schedule of academic activities, including semester timelines, examinations, holidays, and important academic events, ensuring smooth and effective conduct of the program.
The Course Outcomes (COs) of the CSE (Artificial Intelligence) program at Mar Baselios Christian College of Engineering & Technology clearly define the specific knowledge, skills, and competencies that students are expected to achieve upon completion of each course. These outcomes are aligned with Outcome-Based Education (OBE) principles, ensuring that students gain strong fundamentals in engineering sciences, problem-solving abilities, design and analysis skills, and practical exposure through laboratories and projects.
The COs collectively contribute to achieving the Programme Outcomes (POs) and Programme Specific Outcomes (PSOs), thereby preparing graduates for professional practice, higher studies, and lifelong learning.

GEN201-HACKATHON

A 24-hour continuous hackathon titled “Gen 201 – Creating the Next Generation” was successfully conducted on 10th and 11th October 2025 at Mar Baselios Christian College of Engineering and Technology (MBCCET), Peermade. The event was hosted by the Department of Computer Science (Artificial Intelligence) with the objective of nurturing innovation, creativity, and technical skills among young students. This hackathon was organized as an All-Kerala level event for Plus One and Plus Two students from government and government-aided higher secondary schools across all districts of Kerala. The event aimed to introduce students to Artificial Intelligence and its real-world applications, while supporting their future academic and career aspirations. 

Objectives of the Hackathon

The main objectives of Gen 201 were: 

  • To develop problem-solving, critical thinking, and innovation skills among students
  • To introduce students to AI concepts and emerging technologies 
  • To provide hands-on experience in teamwork, ideation, and project development
  • To guide students towards future studies and careers in technology 
  • Event Name: Gen 201 – Creating the Next Generation
  • Type: 24-Hour Hackathon
  • Dates: 10th & 11th October 2025
  • Venue: Mar Baselios Christian College of Engineering and Technology, Peermade
  • Host Department: Computer Science (Artificial Intelligence)
  • Participants : 11th and 12th students from all districts of Kerala

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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
The Department of CSE (Artificial Intelligence) actively promotes research and consultancy activities among its faculty and students. The department encourages collaborative research with industry partners and academic institutions to address real-world engineering challenges.


Name of the Author/sTitle of PaperLink
Prof. Annie ChackoA Novel Hybrid Credit Scoring Model: Integrating RNN and XGBoost for Improved Creditworthiness AssessmentDOI Link
Prof. Annie ChackoPath Indexed Energy Efficient MANET Routing Protocol (PiEER)DOI Link
Prof. Annie ChackoEnhancing Credit Score Analysis: A Novel Approach with Random Forest and Kernel SVMDOI Link
Prof. Annie ChackoOptimizing Creditworthiness Assessment: Leveraging PCA and ESVM for Improved Credit Score AnalysisInternational Conference on Trends in Engineering Systems and Technologies
Prof. Annie ChackoEnhancing Fairness and Accuracy in Credit Score Analysis: A Novel Framework Utilizing Kernel PCAInternational Conference on Innovative Trends in Information Technology


 

Memorandum of Understanding (MoU) Signed Between Mar Baselios Christian College of Engineering & Technology and TRETSEC Technologies LLP

The Department of Computer Science and Engineering (Artificial Intelligence), Mar Baselios Christian College of Engineering & Technology, Kuttikkanam, signed a Memorandum of Understanding (MoU) with TRETSEC Technologies LLP, Kochi on 8th August 2025.This MoU aims to establish a collaborative framework for student training, technical workshops, internships, project guidance, and consultancy in various emerging technology areas, including:

      Artificial Intelligence & Machine Learning

      Cyber Security & Ethical Hacking

      UI/UX Design

      Full Stack Web Development

      Java & Python Programming

      Data Science & Analytics

      Life Skills & Soft Skills Development

      Key Highlights of the Collaboration:

      Structured training programs, workshops, and bootcamps.

      Internship, final year project, and project support with live project exposure.

      Faculty development programs to enhance technical and teaching skills.

      Joint organization of seminars, hackathons, ideathons, and technical events.

      Customized training aligned with industry needs and trends.

      Placement support, resume building, and interview preparation.

Special certifications in UI/UX, Cyber Security (ISO 27001), Data Science, and Artificial Intelligence.
The MoU will remain in effect for two years from the date of signing and may be extended upon mutual agreement. This collaboration aims to enhance student employability, foster industry-academia linkage, and provide hands-on exposure to real-world technologies.

The department maintains strong industrial linkages with various organizations to provide students with exposure to real-world engineering practices, hands-on training, and placement opportunities. These partnerships strengthen the industry-academia connect and enhance the learning experience.
The Department of CSE (Artificial Intelligence) actively supports student placements and career development through industry collaborations and placement drives.
Sl. NoBatchStatus
12021-2025To Be Declared
22020-2024To Be Declared
32019-2023Available
42018-2022Available

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