Department of Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) and Machine Learning (ML) is a discipline of Computer Science and Information Technology concerned with creating intelligent computers and systems that accomplish tasks that previously required human intelligence. AI and ML are beginning to infiltrate our daily lives and their potential continues to rise. Many industries like banking, finance, manufacturing, automobile, healthcare and cyber security are sprouting with ample opportunities for AI and ML.
The AI software industry grew 54% globally in 2020 and is expected to expand over 40% every year from now through 2023. This indicates that the future of AI and ML is undoubtedly bright.
Student studying this programme will be equipped with skills to become an innovator and will be capable of contributing to humanity at a larger extend.
In this programme you will learn about the fundamental principles of AI and ML and how machines can perceive, explore, and understand the world around us. You will extend and apply your knowledge to real problems in a substantial individual project working with one of our world-leading researchers.
You will learn about what current generation AIs can and cannot do, about contemporary challenges, and about societal and ethical considerations so that you can make informed decisions about how AI techniques should be used in the real world.
Contribute to the progress of Artificial Intelligence and Machine Learning applications through appropriate use and diffusion of emerging techniques.
To provide a student-centric learning environment to create competent professionals with knowledge in artificial intelligence, machine learning techniques, natural language processing, deep-learning and computer vision.
To facilitate the students to develop the necessary skills to sustain in today’s globalised technological society, in pursuit of excellence by keeping high personal and professional values and ethics.
To nurture their skills in research and innovation that contributes to the development of society.
PROGRAM EDUCATIONAL OBJECTIVES (PEOs):
To enable graduates to pursue higher education and research, or have a successful career in industries associated with Computer Science and Engineering, or as entrepreneurs. To ensure that graduates will have the ability and attitude to adapt to emerging technological changes.
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 the specified needs with appropriate consideration for the 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 OBJECTIVES (PSOs)
To analyze, design and develop computing solutions by applying foundational concepts of Computer Science and Engineering.
To apply software engineering principles and practices for developing quality software for scientific and business applications.
To adapt to emerging Information and Communication Technologies (ICT) to innovate ideas and solutions to existing/novel problems.
Software
Microsoft Imagine Academy License provides bundled system softwares and application softwares of Microsoft, and also computing facility has the following details.
RDBMS Lab
Software Used : Open Office, GCC, Oracle, Visual Studio (Atom, NetBeans, Eclipse, Andriod Studio), Java
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
Case Tools Lab
Software Used : Open Office, GCC, Rational Rose Software, Visual Studio (Atom, NetBeans, Eclipse, Andriod Studio), Oracle, Java
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
Data Structures Lab
Software Used : Open Office, GCC
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
Web Technology Lab
Software Used : PHP, Java, Apache Server, Open Office, GCC, Oracle, Visual Studio (Atom, NetBeans, Eclipse, Andriod Studio)
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
Cloud Computing Lab
Software Used : Open Office, GCC, Globus toolkit, Java, Eucilyptus, Hadoop
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
Graphics Lab (IBM CoE Lab)
Software Used : Open Office, GCC, Java, Opengl
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
CN Office Suite Lab
Software Used : Openoffice, C, C++
- 32 No. of Systems
- 84 Sq.m. Area of the Lab
Landline No: 044-26311021
E mail Id: aiandml@gojaneducation.com
Subscribe to get the latest news
80 Feet Road, Edapalayam, Redhills, Chennai, Tamil Nadu, India – 600 052.
QUICK LINKS
- Graduation
- Admissions
- Mandatory
- Courses
- Contact Us
REACH US
+044 - 2631 1025/1026
+91 7010723984/85
gsbt@gojaneducation.tech