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Department Profile
Overview
In the ever-evolving landscape of technology, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as pivotal fields driving innovation across various industries. At our department, we delve deep into these cutting-edge domains, equipping students with the knowledge and skills necessary to thrive in this dynamic field.
Genesis
In our department, we are at the forefront of pioneering research and education in Artificial Intelligence (AI) and Machine Learning (ML). These fields represent the cutting edge of technology, shaping the future of various industries and revolutionizing how we interact with technology and data.
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Our Vision
To be a renowned department for imparting education in the specialized domain of Artificial Intelligence and Machine Learning and in moulding students into professional engineers.
Our Mission
- Develop professionals who are skilled in the area of artificial intelligence by imparting knowledge in cutting edge areas like image processing, speech recognition, natural language processing, knowledge representation, expert systems, machine learning, deep learning, etc.
- Impart quality and value-based education and contribute towards innovation in these areas of computing
- Organize conferences, seminars, workshops, short term trainings, extra- and co-curricular activities in these areas
- Apply new advances using high performance computing hardware and software
- Establish centre of excellence in interdisciplinary areas of computing, especially in science and engineering applications
Program Educational Objectives
Within a few years after the graduation, the graduates will be:
Program Outcomes
- To apply appropriate theory, practices, and tools to provide solution for real-world challenges involving multidisciplinary/interdisciplinary areas.
- To function effectively in the workplace for professional growth or pursue higher education in leading institutions in the specialized areas of Artificial Intelligence & Machine Learning.
- To adapt, contribute and innovate new technologies in the key domains of Artificial Intelligence & Machine Learning for application in societal development, industrial growth and academic research.
Program Specific Outcomes
At the end of the programme the specific abilities that will be acquired are
Program Specific Outcomes
- Apply the capabilities in the areas of Health Care, Education, Agriculture, Intelligent Transport, Environment, Smart Systems, Societal Needs, etc. and in other multi-disciplinary area of science and engineering domains.
- Demonstrate engineering practice learned through industry internship to solve live problems in various domains.
Our Courses
UG PROGRAM
4 YEARS
B-Tech in Computer Science
Computer Science Department
The Dept. of CSE provides the best platform for a budding computer engineer undergraduate to achieve the highest position in life
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PG PROGRAM
4 YEARS
M-Tech in Computer Science
Computer Science Department
Graduates of this program will be well-prepared to pursue careers in a wide range of industries, as well as pursue further academic and research opportunities.
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Head of Department
Dr.R.Tamilkodi
Professor, AI &ML
Dr. R.Tamilkodi is the Head of the Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning) at Godavari Global University, Rajahmundry, A.P. With over 19 years of experience in academia, she has been dedicated to teaching and mentoring undergraduate and postgraduate students in various domains of computer science. She earned a Ph.D. from Saveetha University, Chennai, an M.Tech in Information Technology from Karnataka University, and an MCA from Bharathidasan University, Trichy. Her research interests include image processing, content-based image retrieval, network security, machine learning, and cloud computing. she has published research papers in prestigious journals indexed in Scopus, SCI, and Web of Science, along with two books and four book chapters in Springer series. As a life member of the Indian Science Congress Association (ISCA), the Red Cross Society, and the International Association of Engineers (IAENG), she is actively engaged in the academic community. Additionally, she serves as an Associate Editor for the international journal IJCINI, ensuring the quality and integrity of scholarly publications. She is committed to empowering students with the knowledge and skills needed to succeed in the rapidly evolving fields of Artificial Intelligence and Machine Learning.
Infrastructure
The Department has 3 modern laboratories that serve the learning needs of the students.
Automobile Chassis Components Laboratory
Tuning of Automobiles Laboratory
Automobile Servicing and Maintenance Laboratory
Research and Development
Centre of Excellence
AVEVA CENTER OF EXCELLENCE
The Internet of Things (IoT) is a course about the new paradigm of objects interacting with people, with information systems, and with other objects. The course will focus on creative thinking and on hands-on project development.
The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction.
Functionality
- The AVEVA Electrical designer training signifies to perform CAD designing for the AutoCAD drawing of different electrical equipment, sub-station and wiring.
Benefits
- The AVEVA Electrical administrator develops the student as the electrical project administrator with necessary administrative knowledge.
- This module has been developed for electrical engineer user who will be responsible for the equipment definition and specification.
- This training module is developed for the electrical engineer user who will be responsible for the cables creation, wiring and interconnections definitions.
