Big Data

Course Main Objective

This course aims to make students acquire the theoretical basics of the concept of big data and steps of applying and managing big data technology and their analyses as well as challenges and potential risks of information use in institutions and such skills necessary for building a successful data scientist.

Course Learning Outcomes

• 1. Knowledge and Comprehension
• 1.1 Explain the concepts related to big data and their analyses and applications.
• 2. Skills
• 2.1 Compare among technologies related to big data management and analysis.
• 2.2 Differentiate between the structured and nonstructured data.
• 3. Values
• 3.1 Communicate effectively with groups.

Course Content:

• An introductory preface to the big data and their types and analyses.
• Datafication
• Characteristics and sources of big data.
• Technology of big data and fields of application: the most common analysis systems of big data.
• Big data in libraries.
• Challenges of big data management.
• Big data and the AI applications.

Textbook (s) 

Ahmad, Al-Hassan.Sh. (2022). Big Data: Essence, Importance and Elements. Arab International Journal of Knowledge Management. No.2. pp.99-148.
Al-Helali, Mustapha. M. (2021). Digitization in the Age of Big Data. Arab International Journal of Information Technology and Data. No.1. pp.197-222.
Yucesoy, B., Wang, X., Huang, J., & Barabási, A. L. (2018). Success in Books: A Big Data Approach to Bestsellers. EPJ Data Science, 7, 1-25.‏
Pettit, M. (2016). Historical Time in the Age of Big Data: Cultural Psychology, Historical Change, and the Google Books Ngram Viewer. History of Psychology, 19(2), 141.‏ 

Course ID: COMP 453