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: 2024-05-24 12:30:59.854270

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 | 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. | ||||||||

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 | 4/999 |

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 | 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. | ||||||||

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 | 3/999 |

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 | 138/190 | Seats filled | 158/210 | 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 | 15/41 | Seats filled | 20/46 | 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 | 17/25 | Seats filled | 17/25 | 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 | 26/80 | 17/20 | 43/100 | 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 | 24/28 | Seats filled | 46/50 | 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. |