DATA Courses

Here is information about DATA class enrollment for fall 2024. Classes with no meeting time listed are not shown. Feel free to contact me with any questions/comments/issues. I am happy to add any departments that are missing from these listings, just reach out to ask!

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Data last updated: 2024-05-14 13:22:38.812282

Class Number	Class	Meeting Time	Instructor	Room	Unreserved Enrollment	Reserved Enrollment	Total Enrollment	Wait List
14493	DATA 110 - 001 Introduction to Data Science	MoWe 3:35PM - 4:25PM	Harlin Lee	Gardner Hall-Rm 0105	Seats filled	Seats filled	100/100	11/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
14518	DATA 110 - 002 Introduction to Data Science	MoWe 9:05AM - 9:55AM	Richard Marks	Chapman Hall-Rm 0211	Seats filled	Seats filled	100/100	10/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 3 units.
14494	DATA 110 - 601 Introduction to Data Science	Fr 3:35PM - 4:25PM	Harlin Lee	Murphey Hall-Rm 0204	Seats filled	Seats filled	30/30	5/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
14495	DATA 110 - 602 Introduction to Data Science	Fr 3:35PM - 4:25PM	Harlin Lee	Murphey Hall-Rm 0115	Seats filled	Seats filled	31/31	5/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
14796	DATA 110 - 603 Introduction to Data Science	Fr 3:35PM - 4:25PM	Harlin Lee	Murphey Hall-Rm 0105	Seats filled	Seats filled	39/39	1/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
14520	DATA 110 - 604 Introduction to Data Science	Fr 9:05AM - 9:55AM	Richard Marks	Gardner Hall-Rm 0308	Seats filled	Seats filled	33/33	2/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
14519	DATA 110 - 605 Introduction to Data Science	Fr 9:05AM - 9:55AM	Richard Marks	Gardner Hall-Rm 0210	Seats filled	Seats filled	33/33	6/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
14789	DATA 110 - 606 Introduction to Data Science	Fr 9:05AM - 9:55AM	Richard Marks	Phillips Hall-Rm 0206	Seats filled	Seats filled	34/34	2/999
Description: This course is a broad, high-level survey of the major aspects of data science including ethics, best practices in communication (e.g. data visualization), mathematical/statistical concepts, and computational thinking. Students will gain an understanding of the fundamentals of data science to support more in-depth, advanced coursework that are requirements for the data science majors. 0 units.
14766	DATA 120 - 001 Ethics of Data Science and Artificial Intelligence	MoWeFr 12:20PM - 1:10PM	To be Announced	Carroll Hall-Rm 0111	123/190	Seats filled	143/210	4/999
Description: In an era of rapid advancements in data science and AI, ethical concerns related to data-intensive technologies are now of utmost importance. This course immerses students in data science ethics, facilitating a comprehensive exploration of the intricate interplay between data and societal values. By nurturing critical thinking grounded in ethical theories, this course provides students with a strong foundation in designing and analyzing data-intensive ecosystems that emphasize values such as fairness, accountability, ethics, and transparency. 3 units.
14496	DATA 130 - 001 Critical Data Literacy	MoWe 9:05AM - 9:55AM	Alex McAvoy	Phillips Hall-Rm 0247	13/41	Seats filled	18/46	1/999
Description: How do you become data literate? Data literacy is the ability to read, write, and communicate data in context, or in other words: perform data analysis, construct a data visualization, and then communicate that data. It is the story that gets told with the data. Data literacy helps us to understand data, learn about different types and scales of data, and understand why this is important in the world today. 3 units.
14497	DATA 130 - 601 Critical Data Literacy	Fr 9:05AM - 9:55AM	Alex McAvoy	Phillips Hall-Rm 0367	15/25	Seats filled	15/25	1/999
Description: How do you become data literate? Data literacy is the ability to read, write, and communicate data in context, or in other words: perform data analysis, construct a data visualization, and then communicate that data. It is the story that gets told with the data. Data literacy helps us to understand data, learn about different types and scales of data, and understand why this is important in the world today. 0 units.
14498	DATA 130 - 602 Critical Data Literacy	Fr 9:05AM - 9:55AM	Alex McAvoy	TBA	3/25	Seats filled	3/25	0/999
Description: How do you become data literate? Data literacy is the ability to read, write, and communicate data in context, or in other words: perform data analysis, construct a data visualization, and then communicate that data. It is the story that gets told with the data. Data literacy helps us to understand data, learn about different types and scales of data, and understand why this is important in the world today. 0 units.
14499	DATA 140 - 001 Introduction to Data Structures and Management	TuTh 12:30PM - 1:45PM	Youzuo Lin	Greenlaw Hall-Rm 0101	24/80	15/20	39/100	0/999
Description: Data structures provide a means to manage large amounts of data for use in our databases and indexing services. A data structure is a specialized format for organizing, processing, retrieving and storing data. There are several basic and advanced types of data structures, all designed to arrange data to suit a specific purpose. Data structures make it easy for users to access and work with the data they need in appropriate ways. 3 units.
14500	DATA 150 - 001 Communication for Data Scientists	TuTh 11:00AM - 12:15PM	Anita Crescenzi	Dey Hall-Rm 0305	22/28	Seats filled	44/50	0/999
Description: The ability to collect and analyze data has changed virtually every field, yet data scientists often lack the ability to present their findings in effective formats. This class uses storytelling to help you connect with your audience and present your data in compelling and understandable ways so stakeholders can make the right decisions with data. Through hands-on exercises, you'll learn the advantages and disadvantages of oral, visual, and written formats. 3 units.
14867	DATA 890 - 003 Special Topics in Data Science	TuTh 9:30AM - 10:45AM	Can Chen	ITS Manning-Rm 5106	4/15	Seats filled	4/15	0/999
Description: The course goal is to expose graduate students in any UNC department to a broad range of topics in the theory and applications of data science. Students will learn about current and emerging methods and techniques in data science to advance individual research efforts and facilitate inter-disciplinary collaboration. Open to graduate students only and by permission only. 3 units.