UPDATES
UPDATES
UPDATES
UPDATES
UPDATES
UPDATES
About the Department
Established in 2020 with an initial intake of 60 students, the Department of Artificial Intelligence and Data Science offers a graduate program that has been approved by the All India Council for Technical Education (AICTE) and is affiliated with APJ Abdul Kalam Technological University (KTU). The department is equipped with state-of-the-art infrastructure and possesses a well-qualified, experienced, and dedicated faculty team.
The department’s success is attributed to the innovative and creative outlook of its students, who actively participate in co-curricular activities, such as IEEE,and extra-curricular activities, such as sports and social events, throughout the academic year. The department also facilitates technology-enabled learning,with students actively participating in NPTEL and coding/project competitions across the country.
To achieve excellence in artificial intelligence and data science to cater the ever-changing industrial and socio-economic needs.
- To provide high-quality and value-based technical education in Artificial Intelligence and Data Science program.
- To establish an infrastructure fostering industry-institute interaction in order to meet global expectations and requirements.
- To empower students to become globally competent and effective problem-solvers to develop entrepreneurial skills and higher studies.
Program Educational Objectives (PEO)
PEO1: The graduates will have ample logical, computing and analytical reasoning capability to excel in the industries as data scientists, computer professionals and researchers or as entrepreneurs.
PEO2: The graduates will be able to adapt with recent technological advancements and evolving industrial trends by utilizing their computer engineering and mathematical skills.
PEO3: The graduates will portray strong ethical values and an overwhelming spirit of social commitment to accentuate societal growth.
Program Specific Outcomes (PSO)
PSO1: The graduates of the program will apply the computational knowledge and algorithmic principles of artificial intelligence and data science to bring in optimal solutions to complex computational problems through the development of innovative AI based applications.
PSO2: Demonstrate ethics in artificial intelligence and data science while implementing scientific techniques to integrate intelligent systems.
PROGRAMME OUTCOMES (PO)
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, research literature, and analyze complex engineering problems reaching substantiated conclusions using the first principles of mathematics, natural sciences, and engineering sciences.
PO3: Design/development of solutions: Design solutions for complex engineering problems and 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 modem 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 multi-disciplinary 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 multi-disciplinary environments.
PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in
PROGRAM DETAILS
Artificial Intelligence and Data Science
Artificial Intelligence (AI) and Data Science (DS) are distinct but complementary fields that have become increasingly important in recent years.AI involves creating machines that can simulate human intelligence processes, while DS focuses on extracting meaningful information from data to solve real-world problems. Together, AI and DS comprise a new interdisciplinary field that draws on various domains, such as engineering science, statistics, cognitive science, computing, health science, and information science.
Students in this field learn how to design and implement AI and DS-based solutions for engineering and business problems, including machine learning, data visualization, semantic web and social network analytics, blockchain technologies, and data security and privacy.
Big data solutions have changed the way in which business models are built and run. This program is ideal for those looking to develop intelligent engineering systems and business solutions in the age of big data.
Result 2023-24 Odd Semester
PROFESSIONAL SOCIETIES AND ASSOCIATIONS
THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS (IEEE)
IEEE opens the door to opportunities that will help students to develop their professional identity in IEEE’s designated fields of interest: sciences, technology, engineering, and mathematics (STEM). In addition to accessing a range of membership benefits, students will make global connections with people who can help students along their targeted career path through IEEE’s international community of members and volunteers.
ADSA (Artificial intelligence and Data Science Students Association)
The Department of Artificial intelligence and Data has science is a newly involved department of this Institution. Education is simply the soul of a society as it passes from one generation to another. Commemorating the quote of a famous American civil rights activist, “A word as to the education of the heart, we don’t believe that this can be imparted through books, it can only be imparted through the loving touch of the teacher”, ADSA was proposed with the objective to organize various activities that consists of drawing the goodness and best out of our own students under the guidance of the well trained faculty members of the department.
INITIATIVES BEYOND THE CLASS ROOM
Mentor System
Each faculty member in the department is assigned the complete responsibility of 30 students. This Faculty Mentor establishes a close relationship with students, orients them to college practices, follows their progress regularly and guides them throughout the four-year course. Employment of this idea has helped several students to solve the problems they face in the academics. Also this method helps the parents to keep track of their child and their academic performance.
Remedial Education
The students with backlogs have a heavy load as they must take exams simultaneously for both the new semester’s subjects as well as for the subjects they fail; and they cannot attend classes in the subjects they have failed. Thus, they do not get any additional teaching in the subjects in which they are weak unless they resort to coaching classes or other private means. This may in turn result in cumulative failures, leading some students to take more years to complete the four-year engineering course. To help our students from such situations, remedial classes are provided by the AI & DS department during the month before the repeat exams, enabling the students to face the difficult papers with greater confidence and ease.
Placement Training
Placement training is an integral part of the department’s curriculum in the college, aimed at preparing Artificial Intelligence and Data Science students for the competitive job market. The AD department organizes comprehensive workshops and seminars to enhance students’ employability skills. These sessions cover various aspects such as resume writing, interview techniques, and professional etiquette. The college also invites industry experts and professionals to conduct mock interviews and provide valuable feedback to students. Additionally, the department facilitates internships and industry collaborations to expose students to real-world scenarios and foster practical knowledge. The ultimate goal of placement training is to ensure that students are well-equipped and confident to secure lucrative job opportunities upon graduation.
LEARNING MANAGEMENT SYSTEM
Learning Management System (LMS) designed to complement classroom instruction and engage students in online activities , assignments and discussions, examinations, wikies that allow for deeper participation inside and outside the classroom. Visit Here
NPTEL Local chapterNPTEL Local chapter
NPTEL is the largest repository of online courses in Engineering, Science & Humanities from India’s best Institutes. Students can experience class room like learning from the experts. SJCET Palai is now a Local Chapter of NPTEL. The students of SJCET can access all the courses of NPTEL even without an Internet connection. More than 350 + courses on Engineering, Science & Technology is available locally at SJCET Palai Server. The students can apply for scholarships provided by companies like Aricent. The students who pass the examination are also eligible for a certificate from reputed IIT’s.
Coursera Campus Response Initiative
Coursera’s mission is to transform lives through learning. To help minimize the impact of the coronavirus (COVID-19) outbreak on students, the Coursera community is launching a global effort to assist universities and colleges to deliver courseware online. SJCET has joined in this initiative. Now our students can access 3,800 courses and 400 Specializations in Coursera absolutely free of cost.
DEPARTMENT LEVEL COMMITTEES
DQAC
| Sl. No. | Name & Designation | Role |
|---|---|---|
| 1 | Dr Renjith Thomas, Associate Professor & Head | Chairman |
| 2 | Mr Jacob Thomas, Assistant Professor | Coordinator |
| 3 | Ms Jabin Mathew, Assistant Professor | Member |
| 4 | Ms Neena Joseph, Assistant Professor | Member |
| 5 | Mr. Adarsh C Ravi, Lab Instructor | Member |
Stream Coordinators
| Sl. No. | Name of Stream | Odd/ Even | Course Code | Name of Course | Members | Stream Coordinators |
|---|---|---|---|---|---|---|
| 1 | DATA SCIENCE | ODD | ADT 301 | FOUNDATIONS OF DATA SCIENCE | MS. NEENA JOSEPH | MS. LAKSHMI G |
| 2 | EVEN | ADT 302 | CONCEPTS IN BIG DATA ANALYTICS | MS. NEENA JOSEPH | ||
| 3 | EVEN | CST 466 (PROGRAM ELECTIVE IV) | DATA MINING | MS. NEENA JOSEPH | ||
| 4 | EVEN | ADT 402 | BUSINESS ANALYTICS | MS LAKSHMI G | MS. NEENA JOSEPH | |
| 5 | EVEN | AIT 362 (PROGRAM ELECTIVE I) | PROGRAMMING IN R | MR. DHEERAJ N | ||
| 6 | ARTIFICIAL INTELLIGENCE | ODD | CST 283 (MINOR) | PYTHON FOR MACHINE LEARNING | MS. PRETTY JOY | MR. JACOB THOMAS |
| 7 | ODD | AMT 305 | INTRODUCTION TO MACHINE LEARNING | DR. RENJITH THOMAS | ||
| 8 | ODD | CST 383 (MINOR) | CONCEPTS IN MACHINE LEARNING | MS. ASWATHY JAMES | ||
| 9 | ODD | AIT 307 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | MS. NEETHU TOM | DR. RENJITH THOMAS | |
| 10 | EVEN | CST 438 (PROGRAM ELECTIVE V) | IMAGE PROCESSING TECHNIQUE | MS. LAKSHMI G | ||
| 11 | ODD | AIT 401 | FOUNDATIONS OF DEEP LEARNING | MS. LAKSHMI G | MS. PRETTY JOY | |
| 12 | EVEN | CST 474 (PROGRAM ELECTIVE III) | COMPUTER VISION | MR. DHEERAJ N | MS. NEETHU TOM | |
| 13 | EVEN | CST 444 (PROGRAM ELECTIVE III) | SOFT COMPUTING | MS. NEETHU TOM | MS. ASWATHY JAMES | |
| 14 | EVEN | AIT 304 | ROBOTICS AND INTELLIGENT SYSTEM | DR. RENJITH THOMAS | MS NEENA JOSEPH | |
| 15 | ODD | AIT 443 (PROGRAM ELECTIVE II) | CONCEPTS IN COMPILER DESIGN | MS. NEENA JOSEPH | MS. JABIN MATHEW | |
| 16 | SECURITY IN COMPUTING | EVEN | CST 394 (HONOURS) | NETWORK SECURITY | MS. NEETHU TOM | MS. JABIN MATHEW |
| 17 | ODD | CST 393 (HONOURS) | CRYPTOGRAPHIC ALGORITHMS | MS. PRETTY JOY | ||
| 18 | COMPUTATIONAL BIOLOGY | ODD | AIT 497 (HONOURS) | COMPUTATIONAL HEALTH INFORMATICS | MS. ASWATHY JAMES | MR. DHEERAJ N |
| 19 | EVEN | CST 468 (PROGRAM ELECTIVE V) | BIOINFORMATICS | MS. ASWATHY JAMES |
OUR STRENGTH
PLACEMENT DETAILS
DEPARTMENTAL ACTIVITIES
| Sl. No. | Area of Training | No. of students attended | Mode | Period of training |
|---|---|---|---|---|
| 1 | Industry- Institute Interaction Session | 60 | Offline | June,2023 |
| 2 | Talk on Importance of Internship selection based on the area of Cyber security | 59 | Offline | April, 2023 |
| 3 | Python programming and statistical modelling | 59 | Offline | March, 2023 |
| 4 | Hands-on Workshop on AI/ML MATLAB toolkit and Applications | 45 | Online | March 1, 2023 |
| 5 | Discussion on Latest trends and Developments in AI | 45 | Online | March, 2023 |
| 6 | Talk on Project Selection and Implementation | 60 | Offline | February, 2023 |
| 7 | Introduction to Deep Learning | 50 | Online | November 1, 2022 |
| 8 | Practical Introduction to Machine Learning | 55 | Online | November, 2022 |
| 9 | Introduction to Machine Learning | 60 | Offline | October, 2022 |
| 10 | Opportunities in AI fields | 120 | Online | September, 2022 |
Online Workshop was conducted based on the topic “ Introduction to Machine Learning” by Deepu Sasi on 14th April 2023.
Online webinar was conducted based on the topic “Basics of Python” by Ajay T Shaju on 4th April 2023.
Online webinar was conducted based on the topic “Latest trends and developments in AI” by Mr. Karthik K on 7th March 2023.
Online webinar was conducted based on the topic “Introduction on Toolkits of AI/ML” by Mr. Rakshith Kashyap on 4th March 2023.
Offline Workshop was conducted based on the topic “Introduction to Python Programming and Statistical Modelling” by Mr. Akshayraj M R and Muhammed Raees on 2nd and 3rd March 2023.
A talk on Mini Project Presentation was conducted by Mr.Sarju S (Assistant Professor of Computer Department) on 9th February 2023.
Offline Workshop was conducted based on the topic “ Basics of Matlab & Python” by Mr. Akshayraj M R and Muhammed Raees on 14th-15th and 21st-22nd October 2022.
ACHIEVEMENTS
Staff
Staff Publications
- C. S. Kingsly, N. George, N. Joseph, K. Johnpeter, S. K. Joseph and K. A. Mohamed Riyazudeen, “Wireless IoT Security Management Enhancement and Optimization using Various Elements,” 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India, 2023, pp. 555-561, doi: 10.1109/ICSSIT55814.2023.10060989.
- V. Deepa, C. S. Kumar and T. Cherian, “Pre-Trained Convolutional Neural Network for Automated Grading of Diabetic Retinopathy,” 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichy, India, 2022, pp. 1-5, doi: 10.1109/ICEEICT53079.2022.9768480.
- Neethu Maria John, Neena Joseph , Nimmymol Manuel , Sruthy Emmanuel , Simy Mary Kurian, “Efficient data aggregation and improved prediction in cooperative surveillance system through Machine Learning and Particle Swarm based Optimization”, EAI Endorsed Transactions on Energy Web, 03 June 2021, doi: 10.4108/eai.3-6-2021.170014
- V. Deepa, C. S. Kumar, T. Cheriyan, “Ensemble of multi-stage deep convolutional neural networks for automated grading of diabetic retinopathy using image patches”, J. King Saud Univ., Comp. Info. Sci., May 2021. doi.org/10.1016/ j. jksuci.2021.05.009. (Elsevier publications- SCIE, IF: 13.473)
- V. Deepa, C. S. Kumar, S. Susan Andrews, “Fusing dual-tree quaternion wavelet transform and local mesh-based features for grading of diabetic retinopathy using extreme learning machine classifier”, Int. J. Imaging Syst. Technol., April. 2021. doi: DOI:10.1002/ima.22573. (Wiley Online Library- SCIE, IF:2.0)
- Deepa V, Sathish Kumar C, Cherian T. Automated grading of diabetic retinopathy using CNN with hierarchical clustering of image patches by siamese network. Phys Eng Sci Med. 2022 Jun;45(2):623-635. doi: 10.1007/s13246-022-01129-z. Epub 2022 May 19. PMID: 35587313.
Conference/ FDP/Seminars/Workshops Attended
- Prof. Neena Joseph successfully completed 5 days Faculty Development program on “The Intelligent Future: Unlocking the Potential of Artificial Intelligence “”organised by Department of Electronics & communication Engineering, Mangalam college of Engineering, from 3rd to 7th July 2023.
- Dr. Deepa V successfully completed 5 days Faculty Development program(FDP) cum workshop on “Next Generation computing paradigms for Big Data Applications” at IIIT Kottayam from 5th June to 9th June 2023.
- Prof. Jacob Thomas has participated and successfully completed ISTE approved online/SF-STTP/FDP programme on “Electrical Vehicle “organized by DKTE’S Yashwantrao Chavan Polytechnic, Ichalkaranji, Maharashtra from 23rd-25th March 2023.
- Prof. Jacob Thomas has participated and successfully completed FDP on “Distributed Computing” organised by Department of Computer science and Engineering, at Sree Narayana Gurukulam College of Engineering from 30th January-1st February 2023.
- Prof. Jacob Thomas has participated and successfully completed KTU sponsored five-day faculty development programme on “Blockchain Technology & its applications” organised by Department of Computer science and Engineering, St. Joseph’s college of Engineering and Technology, Palai from 16th to 20th January 2023.
- Prof. Shelcy Paulose has participated and successfully completed KTU sponsored five-day faculty development programme on “Blockchain Technology &its applications” organized by Department of Computer science and Engineering, St. Joseph’s college of Engineering and Technology, Palai from 16th to 20th January 2023.
- Prof. Minu Cherian has participated and successfully completed KTU sponsored five-day faculty development programme on “Blockchain Technology & its applications” organized by Department of Computer science and Engineering, St. Joseph’s college of Engineering and Technology, Palai from 16th to 20th January 2023.
- Dr. Deepa V successfully completed 1 week Faculty Development program(FDP) on “Statistical and Machine Learning Techniques with Applications”at IIIT Kalyani from 2nd-6th January 2023.
- Prof. Minu Cherian has participated and successfully completed ten days faculty development programme on Deep Learning: Models and use cases using Python organized by Indian Institute of Information Technology Kottayam from 12th DEC-21st DEC.
- Prof. Shelcy Paulose has participated and successfully completed ten days faculty development programme on Deep Learning: Models and use cases using Python organized by Indian Institute of Information Technology Kottayam from 12th DEC-21st DEC
- Prof. Minu Cherian has participated and successfully completed five-day faculty development programme on Demystifying Machine Learning Algorithms organized by Department of Artificial Intelligence and Data science Muthoot Institute of Technology and Science from 10 OCT-14OCT 2022.
- Prof. Shelcy Paulose has participated and successfully completed five day faculty development programme on Demystifying Machine Learning Algorithms organized by Department of Artificial Intelligence and Data science Muthoot Institute of Technology and Science from 10 OCT-14OCT 2022.
- Prof. Jabin Mathew has participated and successfully completed five day faculty development programme on Demystifying Machine Learning Algorithms organized by Department of Artificial Intelligence and Data science Muthoot Institute of Technology and Science from 10 OCT-14OCT 2022.
- Dr.Deepa V has participated and successfully completed five day faculty development programme on Demystifying Machine Learning Algorithms organized by Department of Artificial Intelligence and Data science Muthoot Institute of Technology and Science from 10 OCT-14OCT 2022.
- Prof. Minu Cherian participated in a webinar series on “Data science and Machine learning in Real world”, conducted on September 14th 2022 by IIIT Kottayam.
- Prof. Shelcy Paulose participated in a webinar series on “Data science and Machine learning in Real world”, conducted on September 14th 2022 by IIIT Kottayam.
- Prof. Preema Theresa Varghese has participated in the FDP on “AI & ML-Industry practices and Perspectives” conducted by TCS from 12th September to 16th September 2022.
- Ms Jabin Mathew participated and successfully completed 1 week International FDP on “Advanced research and quality publication” at FISAT from 29th august to 2nd November 2022.
- Prof. Preema Theresa Varghese has participated and successfully completed 1-week International FDP on “Advanced research and quality publication” at FISAT from 29th august to 2nd November 2022.
- Prof. Jabin Mathew has attended TEQIP-II three days online FDP on “Demystifying Cyber Security” from 29th august to 31st august 2022.
- Prof. Preema Theresa Varghese has attended TEQIP-II three days online FDP on “Demystifying Cyber Security” from 29th august to 31st august 2022.
- Dr. Deepa V has attended KTU sponsored FDP five days online FDP on “Online FDP on Practical Data Science” from 19th august to 23st august 2022.
- Dr. Deepa V has attended 5 days FDP organized by IIIT, Sri City on “WADLA (2.0) Research Workshop on Advances in Deep Learning and Applications” from 21st to 25th February 2022.
- Dr. Deepa V has attended 5 days FDP organized by NIT, Jalandhar on “Online shot-term course on Advanced Techniques of Material Characterization for Research” from 25th to 29th October 2021.
MOOC/Online Certifications
- Deepa V successfully completed NPTEL online certification on Introduction to Machine Learning.
- Deepa V successfully completed NPTEL online certification on Deep Learning.
- Jabin Mathew successfully completed NPTEL online certification on Python for Data Science.
- Preema Theresa Varghese successfully completed NPTEL online certification on Python for Data Science.
STUDENTS
- Joseph Varkichen of S6 AD successfully participated in Hack-a-bot organized by SJCET Palai on 30th April 2023.
- Gouri S Govind of S6 AD successfully participated in Hack-a-bot organized by SJCET Palai on 30th April 2023.
- Deeptha Shaji of S6 AD successfully participated in webinar on “IEEE Explore” organized by SJCET Palai on 28th April 2023.
- Thushar Thomas Thakadipurath of S6 AD successfully participated in webinar on “IEEE Explore” organized by SJCET Palai on 28th April 2023.
- Ajay T Shaju of S6 AD successfully participated in webinar on “IEEE Explore” organized by SJCET Palai on 28th April 2023.
- Aleena James of S6 AD successfully participated in webinar on “IEEE Explore” organized by SJCET Palai on 28th April 2023.
- Saira Susan John of S6 AD successfully participated in webinar on “IEEE Explore” organized by SJCET Palai on 28th April 2023.
- Ajay T Shaju of S6 AD successfully completed EBSCO training on EBSCO host-General on 27th April 2023.
- Hrudya N Nair of S6 AD has participated in Arduino simulation using Tinkercad conducted by IEEE RAS SBC LBSITW on 5th April 2023.
- Alaika Shaji of S6 AD successfully participated in QUIZTOPIA,quiz competition organized by college of engineering,Kidangoor on 22nd March 2023.
- Ashly Elizabeth Joseph of S6 AD has participated in Python workshop organized by IEEE SB SJCET Palai.
- Deeptha Shaji of S6 AD has participated in Python workshop organized by IEEE SB SJCET Palai.
- Ajay T Shaju of S6 AD successfully participated in TRACCIA, organized by IEEE SB SJCET Palai on 27th February 2023.
- Jaidon Gill Shajan of S5 AD won 3rd Prize in HACKATHON CONDUCTED BY IEDC CEK AND SJCET BOOTCAMP, February 2023.
- Jayasankar Shyam Shajan of S5 AD won 3rd Prize in HACKATHON CONDUCTED BY IEDC CEK AND SJCET BOOTCAMP, February 2023.
- Ajay T. Shaju of S5 AD won 3rd Prize in HACKATHON CONDUCTED BY IEDC CEK AND SJCET BOOTCAMP, February 2023.
- Priyan V of S5 AD won 3rd Prize in HACKATHON CONDUCTED BY IEDC CEK AND SJCET BOOTCAMP, February 2023.
- Hashif V of S5 AD won 3rd Prize in HACKATHON CONDUCTED BY IEDC CEK AND SJCET BOOTCAMP, February 2023.
- Hrudya N Nair of S6 AD has participated in Python workshop organized by IEEE SB SJCET Palai.
- Jaidon Gill Shajan of S5 AD is being selected as the UiPath Student Developer Champion 2022-23.
- Jubi Babu from S3 AD participated in a workshop on” contemporary development in AI”at Zoyola college campus in Trivandrum.
FACULTY ACHIVEMENTS
FACILITIES
Artificial Intelligence & Data Science Lab
Library and Reprograhic Centre
Machine Learning and Deep Learning Lab
