M.E Power Electronics and Drives – Kathir Engineering College

50 k

Finished Sessions

70 k+

Enrolled Learners

120 +

Online Instructors

100 %

Satisfaction Rate

ABOUT THE DEPARTMENT

AI has progressed rapidly over the last few years, but it is still nowhere near matching the vast dimensions of human intelligence. Data science is much more than just simple machine learning. Artificial Intelligence and Data Science Programme teaches with the skills to perform intelligent data analysis which is used in a variety of real-world applications. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward. Latest technology is pleased to have made use of enhanced AI and data science algorithms that make sure to provide users with content deemed relevant for them.

AI and DS envisions to create industry ready graduates with Strong fundamental learning, skills to practice in multiple programming language environments such as Python and Java, state-of-the-art Machine Learning (ML) and Deep Learning (DL) frameworks. The course helps students to investigate cutting-edge technologies such as Big Data, Neural Networks, and Deep Learning. Integration of Industry 4.0 in the curriculum ensures that the students explore and capitalise on the enormous potential of emerging technologies such as artificial intelligence, Data Science, Robotics, Cloud computing, Machine Learning Algorithms, and Robotics process automation of business processes across industry.

Artificial Intelligence & Data Science covers the core principles of Data Science, the process of ethically acquiring, engineering, analyzing, visualizing data.This course aims to teach not only core technologies like artificial intelligence, data mining, and data modelling, but also advanced topics like machine learning and big data analytics. Students can learn cross-disciplinary skills as a result of this course. The main goal of this programme is to train students to become industry ready and knowledgeable, to pursue careers as data analysts, data scientists, capable of solving major problems in the fields of machine learning, statistics, information discovery, and visualisation skills.

VISION

To be a centre of excellence in education and research in emerging technologies in tandem with industry trends, with state-of-the-art facilities on par with the finest in the world and broaden students’ horizons beyond classroom education thereby transforming enthusiastic learners into dynamic engineers.

MISSION

To provide individual attention to transform students as good engineers and responsible citizens of our nation, and help serve the industry and society constructively.
To produce prolific graduates with remarkable skill in envisaging, designing and effectively handling Electrical and Electronics oriented problems.
To enable graduates acclimatize to competent multi disciplinary environment with high morale, professional responsibility and a passion for constant knowledge up gradation.

Department of Artificial Intelligence and Data Science

Programme Education Objectives (PEOs)

Graduates can

PEO1: To prepare the students for successful career in power electronic industry, research and teaching institutions.
PEO2: To analyze, design and develop the power electronic converter/drive systems.
PEO3: To develop the ability to analyze the dynamics in power electronic converters/drives systems and design various controllers to meet the performance criteria.
PEO4: To design power electronic systems and special electrical machines for efficient extraction and utilization of various renewable energy sources.
PEO5: To promote student awareness for the lifelong learning and to introduce them to professional ethics.

Program Specific Outcome (PSOs)

Graduates should be able to:

PSO1: To impart contemporary technologies in Electrical and Electronics Engineering to cater the needs of the society in the areas of Power quality, Green Energy Technologies and Smart Grid.
PSO2: To prepare the students to utilize the modern trends in power electronics to solve the current and future energy problems.
PSO3: To prepare the students to excel in future career as eminent professionals and adapt to challenging technologies.

Programme Outcomes (POs)

Graduate Attribute

PO1: An ability to independently carry out research/investigation and development work to solve practical problems
PO2: An ability to write and present a substantial technical report/document.
PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.
PO4: Apply knowledge of basic science and engineering in design and testing of power electronic systems and drives.
PO5: Interact with Industry in a professional and ethical manner to meet the requirements of societal needs and to contribute sustainable development of the society.
PO6: Implement cost effective and cutting edge technologies in power electronics and drives system.