About This Course
Big data and cloud computing are leading edge IT technologies that team together as key enablers for today’s IT industry with its emerging AI-based solutions.
In this module, students learn about the basics and advanced topics of big data and cloud computing.
We look into the interplay of existing big data and cloud computing technologies, platforms and systems, their design and implementation, and their utilization in industrial and commercial applications.
Learning Objectives
- Remembering the motivation, basics and terminology of big data and cloud computing.
- Understanding the principles of distributed data processing.
- Applying big data and cloud computing APIs and tools.
- Analyzing the role of cloud providers and the business impact of cloud computing.
- Evaluating cloud-based system architectures.
- Creating the next generation of AI and data processing solutions.
Study Programs
This course is mandatory for the following study programs:
- MBA Digital Technologies
- MBA Digital Transformation
- M.Sc. Advanced Digital Reality
- M.Sc. Applied AI
- M.Sc. Cybersecurity
- M.Sc. Digital Leadership
This course is offered as an elective for the following study programs.
- The course is mandatory for all programs and can, therefore, not be selected as an elective.
Micro Degree
- This course is offered as a micro degree.
- German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.
- Micro Degrees will be rewarded with an equivalent of 5 ECTS.
- Micro Degrees are offered to non-regular students and require a fee of €900.
Requirements
Knowledge and skills as provided in the Prep courses.
General Information
- Teaching Format: Experience
- Total Workload Master: 125h (40h/85h) / 5 ECTS
- Total Workload MBA: 100h (40h/60h) / 4 ECTS
- Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS
- Module coordinator: Prof. Dr. Raad Bin Tareaf
- Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.
- Offered: Even quarters
Course Staff
Prof. Dr. Raad Bin Tareaf
Raad Bin Tareaf is a Professor of Data Science and a researcher specializing in Artificial Intelligence, Machine Learning, and Big Data Analytics. He holds a PhD in Data Science from the Hasso Plattner Institute, where his research focused on AI-driven personality prediction models and social media analytics. He completed his Bachelor's degree in Computer Science at the German Jordanian University and earned a Master's degree in Enterprise System Engineering from Princess Sumaya University for Technology. After completing his doctorate, he transitioned into academia as a Professor of AI & Data Science. Prior to academia, he gained valuable industry experience working with companies such as Bosch and Continental GmbH. His current work focuses on bridging theoretical AI research with real-world applications, particularly in AI and deep learning.
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