PROGRAMME EDUCATIONAL OBJECTIVES

• Graduates will have technical skills and strong foundations in Mathematics, Programming, and Artificial Intelligence to model, design, and conduct experiments that solve complex industry problems.
• Graduates will contribute to the knowledge base through significant research promoting design and implementation of engineering products and services with effective communication skills.
• Graduates will possess competence and soft skills to contribute to societal needs and engage in lifelong professional development.
• Graduates will work in multidisciplinary teams as ethical and socially responsible solution providers and entrepreneurs in AI and Machine Learning.

PROGRAMME SPECIFIC OUTCOMES​

• Graduates will develop computational knowledge and project development skills using innovative tools and techniques to design intelligent AI systems of varying complexity.
• Graduates will contribute productive, innovative solutions for interdisciplinary problems using programming knowledge and real-time constraints.
• Graduates will be self-motivated, enhance self-learning, and adapt AI/ML methods to construct high-quality software systems.

Curriculum

VALUE ADDED COURSES - DEPARTMENT OF CSE (AIML)

FULL STACK DEVELOPMENT (11-09-2024 TO 19-09-2024)

From September 11 to September 19, 2024, a one-week Full Stack Development course was conducted by VEI Technologies at our engineering college. The course was led by experienced instructors, Dr.B.Ezhilavan Sir, who provided an in-depth exploration of the MERN stack, Google Cloud Platform (GCP), and MySQL.

Course Overview

The Full Stack Development course was designed to equip students with the necessary skills to develop both front-end and back-end applications.

• Introduction to Full Stack Development: Overview of web development and the role of a full stack developer. Explanation of the MERN stack (MongoDB, Express.js, React.js, Node.js).
• Front-End Development: Hands-on training in React.js for building user interfaces. Understanding of component-based architecture and state management.
• Back-End Development: Introduction to Node.js and Express.js for server-side programming. Setting up RESTful APIs and handling requests.
• Database Management: Overview of MySQL and its integration with Node.js applications. Practical exercises on database design and querying.
• Cloud Computing with GCP: Introduction to Google Cloud Platform and its services. Deployment of applications on GCP, including setting up virtual machines and databases.

Learning Outcomes

• Proficiency in MERN Stack: Students gained hands-on experience in using the MERN stack to create full-stack applications.
• Understanding of Cloud Deployment: Participants learned how to deploy applications on GCP, enhancing their skills in cloud computing.
• Database Management Skills: Students developed a solid foundation in using MySQL for data management and retrieval.

Feedback and Conclusion

The course received positive feedback from participants, who appreciated the practical approach and the expertise of the instructors. The hands-on sessions allowed students to apply their knowledge in real-world scenarios, fostering a deeper understanding of full stack development.

In conclusion, the Full Stack Development course provided valuable insights and skills that are essential for aspiring developers. The combination of theoretical knowledge and practical application equipped students with the tools needed to succeed in the field of web development. This experience has significantly enhanced our learning journey, and we look forward to applying these skills in future projects.

KOTLIN PROGRAMMING (11-09-2024 TO 19-09-2024)

From September 11 to September 19, 2024, a one-week Full Stack Development course was conducted by Beeja Academy at our engineering college. The course was led by experienced instructors, Mr.K.Hidayath & Mr.B.Prabhakaran, who provided an in-depth exploration of Kotlin, a modern programming language.

Course Objectives

• Understand Kotlin's syntax and basic programming concepts.
• Develop Android applications using Kotlin.
• Implement Kotlin for backend development.
• Work with advanced features like coroutines, extension functions, and null safety.
• Gain practical knowledge to integrate Kotlin with existing Java codebases.

Learning Outcomes

• Understand and use Kotlin for developing both mobile applications (Android) and backend systems.
• Be able to create Android applications using Kotlin and implement modern Android architecture.
• Understand Kotlin's advanced features such as coroutines, null safety, and extension functions.
• Write scalable, maintainable code in Kotlin.
• Work with databases, perform API development, and integrate Kotlin with existing Java codebases.

Tools and Technologies Covered

• Kotlin Programming Language (Core and Advanced Concepts)
• Android Studio (For Android Development)
• IntelliJ IDEA (For Kotlin-based Projects)
• Ktor (Backend Framework for Kotlin)
• Spring Boot (Backend Framework with Kotlin)
• JUnit (Unit Testing Framework)
• Mockito (Mocking Framework)
• Room (Android Database)
• Retrofit (Networking Library)
• GitHub (For version control and project collaboration)

Feedback and Conclusion

The Kotlin Programming course has proven to be an excellent value-added course for college students who are looking to expand their programming skills. It provided a deep dive into Kotlin, covering both foundational and advanced concepts that are crucial for modern software development. As a college student, I found this course particularly engaging, as it aligned well with both academic learning and practical, industry-relevant skills.

CYBER SECURITY (27/01/2025 TO 03/02/2025)

Cybersecurity has become a cornerstone of safe digital engagement, with growing threats to personal data, financial assets, and national infrastructure. To bridge the knowledge gap and instill foundational cybersecurity awareness, the Department of Computer Science & Engineering [ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING], organized a one-week Value-Added Course on Cybersecurity.

Course Overview

• Course Title: Value-Added Course on Cybersecurity
• Duration: 1 Week
• Dates: 27/01/2025 to 03/02/2025
• Organized by: Department of ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
• Participants: 50 Students
• Trainer: Mr. Sriram Kesavan, Founder & Director of Security TG CyberLabs-Secfra Labs, Chennai-TamilNadu.

Objectives of the Course

• To introduce basic concepts and importance of cybersecurity.
• To familiarize students with real-world threats and defense strategies.
• To demonstrate tools used in network scanning and vulnerability analysis.
• To promote responsible digital behavior among students.
• To provide exposure to ethical hacking principles.

Objectives of Cybersecurity

• Confidentiality – keeping data private
• Integrity – ensuring data is accurate and unaltered
• Availability – ensuring systems and data are accessible to authorized users

PYTHON WITH MONGODB (27/01/2025 TO 03/02/2025)

The Department of Computer Science & Engineering [ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING], successfully conducted a Value-Added Course on Python with MongoDB to provide students with practical skills in modern programming and database technologies.

Course Details

• Course Title: Value-Added Course on Python with MongoDB
• Duration: 1 Week
• Dates: 27/01/2025 – 03/02/2025
• Mode of Delivery: Offline
• Organized by: Department of Computer Science & Engineering, [AI&ML]
• Trainer(s): Ms. Nithya Vembu, Beeja Academy
• Target Audience: 60 students

Objectives of the Course

• To introduce students to Python programming and NoSQL databases.
• To teach the integration of Python applications with MongoDB.
• To provide hands-on experience in CRUD operations and data modeling.
• To prepare students for real-world development using modern tools and technologies.

ACADEMIC YEAR: 2024-25