About
Department of Artificial Intelligence & Data Science
INTRODUCTION
The Department of AI and Data Science at MEA Engineering College, affiliated with APJ Abdul Kalam Technological University, Thiruvananthapuram, was assumed to have started in 2021. It is an excellent initiative that has garnered significant attention from students and industry professionals alike.
The department’s quality is exceptional, with highly experienced and qualified faculty members who specialize in AI and data science. The department’s curriculum is designed to offer students a deep understanding of the principles of machine learning, data analysis, and AI, with a focus on practical applications. The department also emphasizes research and development, with a strong emphasis on innovation and creativity.
The lab infrastructure of the department well-equipped with state-of-the-art software and hardware, enabling students to work on real-world projects and develop their skills.
The student technical association, AIDEN (AI & Datascience Engineers Network) is active and dynamic, providing students with numerous opportunities to develop their technical skills and collaborate with their peers. The association regularly conducts workshops, seminars, and hackathons, providing students with hands-on experience in AI and data science.
TRENDS
AI and data science are rapidly evolving fields that are constantly changing and advancing. Here are some of the current trends in AI and data science:
- Machine learning and deep learning: Machine learning and deep learning are the core technologies that power AI and data science. These technologies are constantly improving, allowing AI systems to become more accurate and effective in performing complex tasks.
- Natural Language Processing (NLP): NLP is a branch of AI that deals with the interaction between humans and computers using natural language. NLP is becoming more sophisticated and effective, enabling machines to understand and process human language more accurately.
- Explainable AI (XAI): XAI is an emerging field of AI that aims to make AI systems more transparent and understandable to humans. XAI is becoming increasingly important as AI is used in more critical and sensitive applications, such as healthcare and finance.
- Internet of Things (IoT) and AI: IoT devices generate vast amounts of data that can be analyzed using AI and data science. The combination of IoT and AI is opening up new opportunities for businesses and organizations to improve efficiency, reduce costs, and enhance customer experiences.
- Big Data Analytics: The amount of data generated globally is growing exponentially, creating new challenges and opportunities for data scientists. Big data analytics involves the use of advanced tools and technologies to analyze large and complex datasets, extracting valuable insights and knowledge.
- Automated Machine Learning (AutoML): AutoML is an emerging field of AI that automates the process of building machine learning models. This technology is making it easier and faster for organizations to develop AI systems, reducing the need for highly specialized data science skills.
- AI Ethics: As AI becomes more prevalent in our lives, there is a growing need to address ethical considerations related to AI, such as bias, privacy, and transparency. AI ethics is an emerging field that seeks to promote responsible and ethical AI development and deployment.
Overall, the trends in AI and data science are exciting and diverse, with many opportunities for innovation and growth. As these fields continue to evolve, we can expect to see new technologies and applications that will transform the way we live and work.
JOB OPPORTUNITIES
The future of placement opportunities for AI and data science engineers is very promising, as the demand for skilled professionals in these fields is expected to grow rapidly. Here are some of the key reasons why AI and data science engineers can expect to have excellent placement opportunities in the future:
- Rapidly growing demand: The demand for AI and data science professionals is growing rapidly across various industries such as healthcare, finance, e-commerce, transportation, and many more. As companies increasingly rely on data-driven decision making, the demand for AI and data science engineers is expected to rise further.
- Emerging technologies: Emerging technologies such as automated machine learning, explainable AI, and natural language processing are creating new opportunities for AI and data science engineers. These technologies are expected to drive innovation and growth in the field, creating new job opportunities.
- Global market: AI and data science are global industries, and companies across the world are investing in these technologies. This means that AI and data science engineers can expect to have opportunities for placements in various countries, which can lead to diverse career paths and global exposure.
- High salaries: AI and data science engineers are in high demand, and their skills are highly valued by companies. This translates to high salaries and other benefits such as flexible work arrangements, bonuses, and stock options.
- Entrepreneurship opportunities: With the growth of AI and data science, there are increasing opportunities for AI and data science engineers to start their own businesses or work with startups. This can be an excellent opportunity to leverage their skills and create innovative solutions to real-world problems.
The placement opportunities for AI and data science engineers in the future are very promising. As these fields continue to grow and evolve, we can expect to see increasing demand for skilled professionals across various industries and locations.
SUMMARY
The Department of AI and Data Science at MEA Engineering College is a well-established and thriving department that provides students with exceptional quality education and practical skills. The department’s infrastructure, technical association and placement opportunities are all highly promising, making it an excellent choice for students looking to pursue a career in AI and data science.
Prof. Sreeram S.
Head of the Department AD, Associate Professor - CSE & Dean Academics
Associate Professor
Computer Science & Engineering
[email protected]
+91 9745806888
Milestones
2021 – B.Tech started with 30 students
2023 – Robotics and IoT Club
2024 – Preparatory Works for NBA Accreditation
2027 – NBA Accreditation
Vision
To impart quality education and to create engineers with technical skills, creativity, and ethical values by providing them with potential knowledge in Artificial Intelligence & Data Science.
Mission
- To empower students to experience content based learning in areas related to Machine Learning as well as Data Science.
- Inculcate activities to help students for improving mathematical as well as programming knowledge and encourage them to involve in societal developments.
- To offer the inter-disciplinary skills they need to create intelligent systems, which will enable them to pursue exciting and promising careers in global economy.






Program Outcomes (POs)
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
- 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.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.
- 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.
- 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.
- 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.
- 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.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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.
Program Specific Outcomes (PSOs)
- Ability to analyse and apply the knowledge of Artificial Intelligence, Machine Learning and data science in order to solve real world problems.
- Ability to develop computational knowledge in the field of deep learning, machine learning and artificial intelligence through innovative tools and techniques.
- Acquire knowledge in deep learning and machine learning in order to identify current research problems.
Associate Professor
Computer Science & Engineering
[email protected]
+91 9745806888
Assistant Professor
Artificial Intelligence and Data Science
[email protected]
Assistant Professor
Artificial Intelligence and Data Science
[email protected]
Assistant Professor
Artificial Intelligence and Data Science
[email protected]
Lab In-charge
Prof. Liloja
Assistant Professor, Department of AI & Data Science
Email ID: [email protected]
Lab Instructor
Mr. Saabith K.
Email ID: [email protected]
Computer Labs
Programming Language Lab
Course Title
- Object Oriented Programming Lab (In Java) – (CSL203)
- Data Structures Lab (CSL201)
- Python and Statistical Modelling Lab (ADL202)
- Operating System Lab (CSL204)
ICT Class Room
ICT (Information and Communication Technologies led Classrooms) using a smart, interactive, multimedia rich and content enabled education system. It provides a perfect platform for teachers to improve and adapt to better teaching practices with newer methods like blended learning. It bridges the learning gaps between teacher and students, helping them realize their true potential. It make learning fun, by involving multimedia lessons that are inclusive of but not limited to images, PPTs, videos and so on. Students not only grasp such lessons easily but also remember them for a longer span of time. Smart classrooms also allow students to record complete lessons and share them with their friends who were not available for the class. These recorded lessons also come into use as convenient reference point during revisions, making important points clearer and improving student-performances.
Seating capacity:45
Seminar Hall
It is a multipurpose hall equipped with the latest audio and visual aids for facilitating meetings and workshops. All important events,competitions to the seminars organized for the parents/teachers/students are convened within this space. It boosts of the most efficient technology and comfortable seating arrangement. The seminar hall is a pivotal space; housing a series of significant cultural and educational events organized within the college.
Seating capacity:120
Outcome Based Education
Program Outcomes (POs)
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
- 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.
- Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.
- 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.
- 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.
- 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.
- 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.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- 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.
- 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.
- 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.
Program Specific Outcomes (PSOs)
- Ability to analyse and apply the knowledge of Artificial Intelligence, Machine Learning and data science in order to solve real world problems.
- Ability to develop computational knowledge in the field of deep learning, machine learning and artificial intelligence through innovative tools and techniques.
- Acquire knowledge in deep learning and machine learning in order to identify current research problems.
Programs
B.Tech
BTech (Bachelor of Technology) in AI & Data Science is an undergraduate academic degree in the field of engineering and technology. The program typically lasts for 4 years and covers various aspects of engineering, including theoretical and practical components. Students who complete a BTech program are equipped with a strong foundation in mathematical, scientific, and technical concepts, as well as hands-on experience in designing, building, and testing engineering solutions. The btech program at MEA Engineering College debuted in 2021.
Curriculum
B.Tech.
Syllabus
2019 Scheme :
S7 – S8 Syllabus (Yet to be published by the University)
Academic Calendar
Resources
YouTube channel
Channel: Deep Learning
- Faculty: Nahan Rahman
- Link : https://youtube.com/@deeplearning1025 https://youtube.com/@Nanunabeel
Channel: Sreeram’s Lecture series
- Faculty : Sreeram.S
- Link : https://youtube.com/@sreeramslectureseries9283
Channel: Enjem Stapha (Umm Fcube)
- Faculty: Najla Musthafa.
- Link: https://youtube.com/@najlamusthafa
Channel: engineerstalks
- Faculty: Laila.V.
- Link: https://youtube.com/@engineerstalks5833
SWAYAM-NPTEL Local chapter link
- MEA NPTEL Chapter : https://www.meaec.edu.in/nptel-chapter/
- Swayam : https://swayam.gov.in/
MEA Engineering College is an active local chapter of National Programme on Technology Enhanced Learning (NPTEL). NPTEL is one of the national coordinators of MHRD’s prestigious Study Webs of Active Learning for Young Aspiring Minds (SWAYAM) programme – The Massive Online Open Course (MOOC) initiative by Indian Academia. All courses offered by NPTEL are part of SWAYAM. Students and faculty from MEA Engineering College can access all the study materials of the courses offered by NPTEL. They can also register for the courses offered by SWAYAM and NPTEL, enjoying the special benefits offered for the Local Chapter candidates. A few candidates from MEAEC also bagged “Elite” certification for the different courses as they were placed in top ranks in the certification exams. NPTEL Videos and Materials now available @ nptel.meaec.edu.in
Mr. Mohammed Ranees K T (Assistant Professor – Department of Mechanical Engineering) is the Convener and SPOC of NPTEL at MEA Engineering College.
Department Best Practices
Unlock Your Learning Potential
The Department of AI and Data Science provides Research labs for pre-final students. The students get a platform to explore and enhance their research skills, as well as to gain an understanding of the latest trends in AI.
For every student studying pre-final year classes, the department organised a two-hour lab session per week. The Students are able to present topics in their own interest areas at the end of the semester. With the help of Latex, each student creates a paper and a set of presentation slides that follow the IEEE standard.
It provides students with a structured environment where they can experiment, collaborate and share ideas. Students can also take advantage of the lab’s schedule to plan their research projects ahead of time and make sure that they are on track with their studies.
The research lab provides pre-final students with a unique opportunity to develop their skills in a supportive environment, while also being exposed to new ideas and trends that will help them excel in their future careers.
Journal Paper presentation
Workflow
- Selection of Area
- Guide Allotment
- Selection of Topic
- Literature Review 1 – Paper Selection
- Literature Review 2 – Paper Study
- Literature Review 3 – Creation of comparison table
- Implementation
- Preparation of Slides in Latex
- Final Presentation
AIDEN (Artificial Intelligence and Data science Engineers Network)
AIDEN (Artificial Intelligence and Data science Engineers Network) is a technical association that aims to promote and support students who are interested in the field of artificial intelligence and data science. The association brings together professionals / students / enthusiasts in the field of AI and strives to promote knowledge-sharing and collaboration among its members, as well as facilitate professional development opportunities.
AIDEN was inaugurated on December 1, 2022, by Umer Abdussalam, a popular AI researcher, author and new age educator. He is the Founder and CEO of Edapt, director of Youmeare Enterprises Private Limited. The inauguration event was attended by students, faculty, and staff of the college, as well as members of the AI and data science community.
AIDEN offers a range of activities to help students to expand their skill set and stay up-to-date on the latest advancements in the field through educational workshops, training sessions, and conferences. The association also serves as a platform for students to showcase their skills and work on real-world projects. This enables them to gain practical experience and enhance their resumes, which can be valuable for future job opportunities.
The association aims to build professionals who are dedicated to their career growth and promoting the overall advancement of the industry. With its numerous programs and services, AIDEN Association provides a diverse range of opportunities that cater to the needs of its members. From industry-specific events and workshops to mentorship programs and forums, members can leverage a broad spectrum of resources to enhance their skills, expand their knowledge base, and make meaningful connections with like-minded individuals. AIDEN Association serves as a platform for members to advocate for their interests and influence policy decisions that impact the industry.
Overall, AIDEN is a valuable resource for students who are passionate about AI and data science, and provides them with opportunities to learn, grow, and succeed in the field.

Staff Coordinator:
Ms. Ayisha Thahira (Asst. Professor, Dept. of AD)
Student Coordinator:
Mohammed Rashid P (2021-25 batch)
+91 81297 52288
CSI - Computer Society of India
Computer Society of India (CSI) is the first and largest body of computer professionals in India. Institution availed CSI membership in October 2018 and it is attached to CSI Cochin Chapter. Our Membership ID is M10563.
Established year: Oct- 2018
Staff Coordinator : Prof. Murshida KP
Student Coordinator : Mr. Shaheem Abdul Salam
For Registration:- bit.ly/csimea

IEEE Computer Society
The IEEE Computer Society is the chief hotspot for data, motivation, and cooperation in software engineering. Associating individuals around the world, the Computer Society enables the individuals who advance innovation by conveying apparatuses for people at all phases of their expert professions. Our believed assets incorporate universal gatherings, peer-inspected productions, a hearty advanced library, internationally perceived models, and consistent learning openings. On 2012 IEEE MEA Student branch launched Computer Society Chapter.
Staff Advisor : Prof. Muhammad Shameem P.
Chairman : Ms. Shahana Sherin S8 CSE 1
Secretary : Ms. Fathima Karat S6 CSE 1
Recent achievements
- Dept. of Computer Science & Engineering is re-accredited with NBA till 2026.
- Nishad C P and Thanseeha C, students of 19CS2, qualified the GATE 2023 examination
- Ajisha.T, Ayisha Jumaila T P, and Hashim P, students of 20CS1, were selected for a two-month internship as Academic Research Intern with the Cardiovascular R&D team at Healthcare Technology Innovation Centre (HTIC) – IIT Madras from February 20th, 2023 to April 20th, 2023.
- Sethumadhavan, Hariprasad, Priyanka, and Risana Mariyam, the student developers of the Stream Data Analyzer Plug-In for Destiny, were awarded the second prize in the prestigious CSI In-app International Student Project Award for their innovative project.
- Marwan was recognized with the Student Entrepreneurship Award for Best Innovative Project by the Department of Industries and Commerce, Government of Kerala, in recognition of his outstanding work.
- Sharaheena T. has been recognized with the Chief Ministers Students Excellence Award of 1 lakh for her outstanding academic achievement in the Undergraduate Examinations conducted by Universities in the State of Kerala during the academic year 2020-21.
- Shabeer Kallayi has been recognized as the Best Outgoing Student of 2022 from the Department of Computer Science and Engineering at MEA Engineering College, Perinthalmanna.
- Prof. Shanid Malayil has received his PhD
- Prof. Shahad P. – Runner up in CSI In-app International Student Project Award
- Dr. RAJI C.G – Achieved Chief Ministers Navakerala Post Doctoral Fellowship 2022
- Dr. Raji C.G – Best Paper Award | National Engineering College(IEEE International Conference on “Emerging Technologies and Applications for a Smart and Sustainable World”, ICES-TASS’21, 2021)
- Dr. Raji C.G – Resource Person in International Conference on Computing and Technological Solutions with Artificial Intelligence organised by Society of IT Engineers and Researchers, London, UK during April 23-25, 2021 (International).
- Muhammed Ameer Suhail V.P. – Best IEEE IAS CMD Humanitarian Contest Award(17CS1)
- Muhammed Fawad Imthiyaz – Outstanding IEEE society SB chapter office bearer award(17CS1)
- Muhammed Rafi M – Gate score & honours
- Dr. Raji C.G – Resource Person in Five day KTU Sponsored FDP on Business Analytics and Data Science in the Department of Computer Science Engineering and IT, MEA Engineering College on 15 – 19, March 2021.
Placed at Cognizant Technology Solution (CTS)

CTS
Mr Muhammed FairoosBronze medal in All India Senior Karate Championship 2019

Karate Championship
Mr Eldhose P Babu1st prize winner, Let me Speak-The voice Malabar

Let me Speak-The voice Malabar
Ms MurshidhaCollege best Outgoing Student 2019

Best Outgoing Student
Ms Salva K.Resource Person- PYTHON

Resource Person- PYTHON
Mr Muhammed Shameem P.Placed at Sutherland Global services

Placed at Sutherland Global services
Mr JimshadPlaced at Sutherland Global services

Placed at Sutherland Global services
Mr HijasPlaced at Sutherland Global services

Placed at Sutherland Global services
Mr Fahid AliPlaced at TATA Consultancy Services

Placed at TATA Consultancy Services
Ms Farsana IqbalPlaced at TATA Consultancy Services

Placed at TATA Consultancy Services
Mr Mohammed Jasim AnikkadanKTU S7 Result 2020- 21 (SGPA- 10)

KTU S7 Result 2020- 21 (SGPA- 10)
Mr Muhammed Rafi M.KTU S7 Result 2020- 21 (SGPA- 9.5)

KTU S7 Result 2020- 21 (SGPA- 9.5)
Mr Sidharth P. M.KTU S7 Result 2020- 21 (SGPA- 9.09)

KTU S7 Result 2020- 21 (SGPA- 9.09)
Mr Mohammed Jasim AnikkadanMicrosoft student partner 2020

Microsoft student partner 2020
Mr Neeraj P2nd prize, Coding competition at royal engineering college, Thrissur

CODIGO
Mr Abdul Basith APublished Literature/Poetry “Vettakkarante Bhakshanam”

Literature/Poetry
Ms Vipanchika N.Outstanding performance in KTU, CGPA-9.31

Outstanding performance
Mr SHABEER KALLAIPlaced at Technologics

Placed at Technologics
Mr Fayiz PPlaced at Technologics

Placed at Technologics
Mr ShijasPlaced at TATA Consultancy Services

Placed at TATA Consultancy Services
Mr Muhammed RafiPlaced at TATA Consultancy Services

Placed at TATA Consultancy Services
Mr Mohamed Fawad ImthiyazPlaced at TATA Consultancy Services

Placed at TATA Consultancy Services
Mr Mohammed Shahbas PResource Person- Data Science

Resource Person- Data Science
Ms Najla MusthafaKTU S7 Result 2020- 21 (SGPA- 9.05)

KTU S7 Result 2020- 21 (SGPA- 9.05)
Ms Shabla M.KTU S7 Result 2020- 21 (Distributed Computing- 97.14%)

KTU S7 Result 2020- 21 (Distributed Computing- 97.14%)
Ms Jitha K.KTU S7 Result 2020- 21 (Digital Image Processing- 93.10%)

KTU S7 Result 2020- 21 (Digital Image Processing- 93.10%)
Mr Muhammed Shameem P.LoRaWAN (Long Range Wide Area Network) Ecosystem Establishment

As a Government of Kerala initiative under ICFOSS to promote emerging technologies and to spread Open IoT among all the institutions in Kerala, our institution is only selected to host the ICFOSS LoRaWAN ecosystem at Malappuram district of Kerala. The ICFOSS provides and establish the Ecosystem components of Rs 2,50,000/- to the institution and enable technical support, training facilities and resources. LoRaWAN permit long-range connectivity for Internet of Things (IoT) devices in different areas. The institution shall allow Start Ups registered with any of the NSTEDB recognized Technology Business Incubators (TBI) , Other State/Center recognized Incubators and FOSS developer communities listed by ICFOSS within the range of LoRaWAN established at our Institution to use the Ecosystem for product and services development.
Youtube Channels
Channel: Deep Learning
- Faculty: Nahan Rahman
- Link : https://youtube.com/@deeplearning1025 https://youtube.com/@Nanunabeel
Channel: Sreeram’s Lecture series
- Faculty : Sreeram.S
- Link : https://youtube.com/@sreeramslectureseries9283
Channel: Enjem Stapha (Umm Fcube)
- Faculty: Najla Musthafa.
- Link: https://youtube.com/@najlamusthafa
Channel: engineerstalks
- Faculty: Laila.V.
- Link: https://youtube.com/@engineerstalks5833
Technical Reels
Innovative Teaching & Learning Method
Innovative teaching and learning methods refer to creative approaches used to engage learners, promote critical thinking, and enhance learning outcomes. These methods aim to move away from traditional rote learning and encourage students to think outside the box.
Learn Through Skit
Class conducted a skit to demonstrate working of several topics in the course System Software. The skit helped students to understand the topic in detail. Students were divided into six groups with each group having seven to eight members. Different topics where selected different topics from the syllabus This method promotes student autonomy, fosters creativity, and helps students develop a deeper understanding of concepts.
CONTENTS PRESENTED
- How linking loader performs its operations,
- How a linkage editor works.
- Working of Macro processor.
- Difference between application software and system software.
- Algorithm of absolute loader.
- Automatic Library Search.
Students were exuberant and absorbing the extract of the subject. It was amusing and fascinating to capture the moments.
In conclusion, innovative teaching and learning methods aim to create more engaging, interactive, and personalized learning experiences for students. These methods promote student-centered learning, critical thinking, problem-solving, collaboration and creativity, all of which are essential skills for success.
Share & Learn
The courses that involve both theory and problems are learned through the Share & Learn. It is a classroom active learning strategy in which students work on activities, first individually, then in pairs and finally as the whole class. Share & Learn allows students to express their reasoning, reflect on their understanding and obtain prompt feedback on their learning.
It is a progressive strategy in involving the following steps:
- Think : Students think independently about the question that has been posed, forming ideas of their own.
- Pair : Students are grouped in pairs to discuss their thoughts. This step allows students to articulate their ideas and to consider those of others.
- Share : Students pairs share their ideas with a larger group, such as the whole class or a group smaller than an entire class.
The following subject used Share & Learn :-
- Graph Theory
- Data Structures
This type of learning strategy is very effective as the knowledge of each student is shared amongst everyone.
Flipped Classroom
Most of the subjects for our course are taught by using the flipped classroom teaching method. It is a type of teaching method where students first study theory by themselves as a pre-assigned homework and then learn in the classroom by working on exercises.
This blended learning model allows trainers to prioritize active learning during class time, by giving learners the training materials and presentations before the actual class. The trainer can simply share the content via a Google Classroom, email, or however training is delivered.
The following subjects used the Flipped model learning method:-
- Object Oriented Programming using JAVA
- Micro Processors and MicroControllers
- Computer Organization & Architecture
- Programming in C
- Database Management Systems
- Operating Systems
- Computer Networks
This is an effective method for teaching theory based subjects as it helps the students to understand each topic thoroughly.
Student Mentorship
Workshops were organized to help students develop their coding abilities. Students themselves served as mentors for the programmes. A few students that volunteered as mentors were Faris Basha (20CS), Ashhar Ali (20CS), Muhammed Salah K T (19CS), Fathima Fida (20CS), Fathimath Hanan KT (20CS), and Fathima Karat (20CS). Python is a high-level programming language widely used for web development, data science, artificial intelligence, and other fields. The mentorship aimed to provide a basic understanding of Python and its applications among the students.
Mentors engaged the attendees in a variety of exercises and activities during the workshop to help them remember the concepts they had learned. Students gained practical programming experience, and they were encouraged to ask questions and get answers to their doubts.
The participants were introduced to:
- Basics of programming
- How to use Python libraries for data manipulation and visualization
- OOP concepts
Seminar
Seminar is a commonly used method in almost all subjects. It has the function of bringing together small groups for recurring meetings, focusing each time on some particular subject, in which everyone present is requested to participate.
Seminar classes are meant to be interactive, with students participating in a dialogue rather than just listening to a professor and taking notes. Because of this, seminar classes are great for engaging with complex ideas.
The following subjects uses Seminar:-
- Database Management Systems
- Graph Theory
- Microprocessor and Microcontroller
- Design and Engineering
This method helps the students not only for learning the subject but it boosts several of their skills like teaching skill, improves confidence while talking to an audience. It also helps the students to understand others perspectives and latest information, and a good way of networking.