Cost effective means of production in the modern industry is automation of the production processes. Functions and processes that would normally require human beings to do are programmed in logic controllers and performed. Electronic devices perform the intricate functions of the commands from the logic controllers. It is important to understand how the power electronic devices work.

Course Description:
The Introduction to Big Data and Business Intelligence course provides students with an overview of the concepts, technologies, and
applications of big data and business intelligence in various industries. Students will learn about the challenges and opportunities
presented by large-scale data processing and analysis. The course covers fundamental big data technologies, data warehousing, data
visualization, and analytics tools commonly used in business intelligence. Through practical exercises and case studies, students will
gain insights into harnessing big data to drive business decisions and improve organizational performance.
Course Aim:
The Introduction to Big Data and Business Intelligence course aims to provide students with a foundational understanding of the
concepts, technologies, and applications of big data and business intelligence.
Course Objectives:
1. Introduce students to the fundamental concepts of big data and business intelligence.
2. Familiarize students with various big data technologies and platforms.
3. Develop students' skills in data warehousing and data processing for business intelligence.
4. Teach students how to use data visualization and analytics tools for business insights.
5. Enable students to understand the impact of big data on business decision-making.

Course Description:
The Introduction to Big Data and Business Intelligence course provides students with an overview of the concepts, technologies, and
applications of big data and business intelligence in various industries. Students will learn about the challenges and opportunities
presented by large-scale data processing and analysis. The course covers fundamental big data technologies, data warehousing, data
visualization, and analytics tools commonly used in business intelligence. Through practical exercises and case studies, students will
gain insights into harnessing big data to drive business decisions and improve organizational performance.
Course Aim:
The Introduction to Big Data and Business Intelligence course aims to provide students with a foundational understanding of the
concepts, technologies, and applications of big data and business intelligence.
Course Objectives:
1. Introduce students to the fundamental concepts of big data and business intelligence.
2. Familiarize students with various big data technologies and platforms.
3. Develop students' skills in data warehousing and data processing for business intelligence.
4. Teach students how to use data visualization and analytics tools for business insights.
5. Enable students to understand the impact of big data on business decision-making.