This master's level course in Computer Engineering explores the rapidly evolving field of Big Data, focusing on advanced analytics techniques and cutting-edge technologies. Students will gain a comprehensive understanding of the challenges and opportunities presented by large-scale data processing and analysis.
Key topics include:
- Big Data fundamentals and the 5 V's (Volume, Velocity, Variety, Veracity, and Value)
- Distributed computing frameworks (e.g., Hadoop, Spark)
- NoSQL databases and data warehousing solutions
- Machine learning algorithms for big data
- Real-time data processing and streaming analytics
- Data visualization techniques for complex datasets
- Ethical considerations and data governance in big data applications
Through a combination of theoretical lectures, hands-on programming assignments, and real-world case studies, students will develop the skills necessary to design, implement, and maintain big data solutions. The course culminates in a capstone project where students apply their knowledge to solve a real-world big data problem.
By the end of this course, students will be well-equipped to tackle the challenges of big data in various industries and contribute to the ongoing evolution of data-driven decision-making processes.