Podcast
Questions and Answers
What is data science primarily concerned with?
What is data science primarily concerned with?
What do data scientists do first when examining data?
What do data scientists do first when examining data?
What kind of data does data science deal with?
What kind of data does data science deal with?
What is the primary goal of applying knowledge from data?
What is the primary goal of applying knowledge from data?
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What is unique about the field of data science?
What is unique about the field of data science?
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Study Notes
Course Overview and Instructor Information
- Course: CSCE 5300 Section 001, Introduction to Big Data and Data Science
- Instructor: Yunhe Feng, Assistant Professor, Department of Computer Science and Engineering
- Office: F251 CSE, Discovery Park
- Office Hour: 3:00pm-5:00pm Friday
- Email: [email protected]
- Homepage: https://yunhefeng.me/
Instructor's Background
- Ph.D. in Computer Science, University of Tennessee Knoxville, 2020
- M.E. in Computer Technology, Beijing University of Technology, 2014
- B.E. in Computer Science & Technology, Beijing University of Technology, 2011
- Postdoctoral Training: N/A (not specified)
Teaching Assistants
- Sumera Anjum: Office: E247 A, Discovery Park, Office Hour: 1:00pm-4:30pm, Thursday, Email: [email protected]
- Pradhyumna Poralla: Office: E247 A, Discovery Park, Office Hour: 12:30pm-2:30pm, Wednesday and Friday, Email: [email protected]
- Zexuan Meng: Office: F221, Discovery Park, Office Hour: 10:00am-11:30am, Monday and Tuesday, Email: [email protected]
Big Data and Data Science
- Big Data refers to large amounts of data (structured and unstructured)
- Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract or extrapolate knowledge and insights from noisy data
- Data scientists examine which questions need answering and where to find the related data
Studying That Suits You
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Description
This course introduces students to the fundamental concepts of big data and data science, covering topics such as data acquisition, storage, processing, and analysis. Students will learn about the principles and techniques used in big data and data science, including data mining, machine learning, and visualization. The course provides a comprehensive overview of the field and its applications.
