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Artificial Intelligence and Data Science

The newly launched Department of Artificial Intelligence and Data Science (AD) at AWH Engineering college offers a remarkable and transformative educational experience designed to cater to the escalating needs of AI-driven sectors. With a capacity for 60 students, the department focuses on providing cutting-edge skills and insights that prepare graduates to effectively solve intricate real-world problems utilizing AI and data science techniques.

Vision:

To develop skilled, ethical, and innovative AI and Data Science professionals who can lead and contribute to technological progress and societal well-being.

Mission:

  • M1: To deliver a robust education in AI and Data Science, integrating theory with hands-on experience to build a strong foundation.
  • M2: To equip students with advanced skills through partnerships with industry, real-world projects, and immersive internships.
  • M3: To cultivate ethical leadership, encouraging the responsible use of AI and Data Science for the benefit of society.


Key Highlights:

  •  Comprehensive Program: The 8-semester B. Tech in AI and Data Science covers core topics like machine learning, data analytics, and AI ethics.
  • Strong Foundation: Students gain essential skills in mathematics, statistics, and programming for AI and data science applications.
  •  Practical Experience: Projects encourage applying theory to real-world challenges, fostering research and problem-solving skills.
  •  Industry Exposure: Collaborations with tech companies offer internships and workshops for hands-on experience.
  • Outcomes Based Education (OBE) Approach: The program ensures students can apply their learning to real-world AI problems, preparing them for successful careers.

State-of-the-art facilities:

  •  High-performance Lab equipped with cutting-edge AI tools and technologies.
  •  Department Library featuring a comprehensive collection of books on Artificial Intelligence and Data Science.


Current Trends and Job Opportunities in AI and Data Science:
The realm of Artificial Intelligence and Data Science is rapidly progressing across different sectors, with AI at the forefront of innovations such as early disease detection, personalized healthcare solutions,
chatbots, automation in manufacturing, and real-time data processing through Edge AI. The roles of Explainable AI and cybersecurity are crucial in building trust and ensuring safety, while the significance of AI ethics and data privacy is increasingly recognized. These developments are creating a wealth of job opportunities, as the demand for AI and data science professionals expands in industries including healthcare, finance, and technology. Careers in this field offer the chance to engage with pioneering technologies, develop essential critical thinking skills, and enjoy rewarding roles that play a vital part in shaping the future of industries around the globe.


Summary
The department of Artificial Intelligence and Data Science at AWH Engineering College offers a stimulating educational setting that aims to equip students with state-of-the-art skills and knowledge in the rapidly expanding areas of AI and Data Science. By prioritizing practical learning, an industry-focused curriculum, and career-oriented training, the department is committed to fostering both innovation and technical competence. Students receive a comprehensive education that combines theoretical insights with practical application, positioning them for success in a variety of high-demand career fields.

Department level Committee

Curriculum and Syllabus

Curriculum

B.Tech curriculum 2024 APJAKTU Click here

Syllabus

2024 Scheme

S1, S2 Syllabus Click here
S3-S8 Syllabus Click here

Regulations

This may be called the A. P. J. Abdul Kalam Technological University Academic Regulations for B. Tech, 2019. These are subject to the provisions of the APJ Abdul Kalam Technological University Act, 2015, the statutes and ordinances if any issued in the subject from time to time. It is the express understanding that these regulations are subject to the approval of the concerned statutory bodies of the University. These regulations shall be applicable for students admitted from 2019 onward.

B.Tech Regulations 2024 Click here

Department Handbook

Professional Bodies

Labs and Facilities

Our department offers state-of-the-art laboratories designed to foster innovation, hands-on learning, and skill development in various domains of computer science and engineering. Each lab is equipped with advanced technology and resources to provide students with the best possible learning experience. Below is an overview of our key labs:

Programming Lab

Dive into the world of coding and software development in our Programming Lab. This lab is equipped with high-performance computers, integrated development environments (IDEs), and access to a wide range of programming tools and languages. Students can work on real-world projects, develop software, and strengthen their problem-solving skills.

Key Features:

  • Comprehensive support for programming languages like Python, Java, C++, and more.
  • Collaborative workspace for group coding projects.
  • Tools for debugging, testing, and version control.

Advanced Networking and Multimedia Lab

Explore the complexities of modern communication and multimedia technologies. This lab offers cutting-edge equipment for learning and experimenting with advanced networking protocols, multimedia processing, and data transmission techniques.

Key Features:

  • Simulation tools for networking concepts and protocols.
  • Multimedia tools for audio/video processing and editing.
  • High-speed network infrastructure for hands-on training.

IBM-Certified Central Computing Lab

Our IBM-certified Central Computing Lab provides access to enterprise-grade computing resources. Students gain exposure to real-world applications of cloud computing, data analytics, and AI, preparing them for careers in a technology-driven world.

Key Features:

  • Access to IBM-certified software and platforms.
  • Training modules for cloud computing, machine learning, and big data.
  • High-performance servers for computational tasks.

Course leaflets

Department Library

Department Association

Achievements

Magazine/Newsletter

Students Publications and Projects

R&D

Distinguished Alumni

Question Bank

Downloads

Contact us

Head Of The Department

Faculty Name 

Phone No.

Email

College Address 

Dr.Ameetha Junaina T K

+91 95396 69130

hodad@awhengg.org

AWH Engineering College

Kuttikattor, Calicut,

PIN : 673 008, Kerala, India.

Staff & Faculty

Head of the Department

Dr.Ameetha Junaina T K
PROFESSOR
ameetha.junaina@awhengg.org

Teaching Staffs

Ms.Shameema C
ASSISTANT PROFESSOR
shameema@awhengg.org

Non Teaching Staffs