COMP.4770 Methods in Data Science

Id: 042358 Credits: 3-3

Description

Data science is concerned about data: methods for creating, storing, retrieving, analyzing, interpreting, and visualizing data. Data science continues to evolve as one of the most promising and in-demand career paths. This course will introduce emerging methods in data science. After taking this course, students will obtain a clear concept about what is stat of the art methods for data and knowledge of a wide range of resources and tools to use and analyze data. Design of the Course: The course will include two main parts: Regular lectures, which will consist of core topics in data science such as machine learning, visualization, information retrieval, and ontology and databases. Invited seminars consist of invited professionals who work on cutting-edge research in data science. Reading assignments will be given to students at each lecture or seminar. Quiz will be assigned at the end of each lecture topic.

Prerequisites

COMP.2040 Computing IV, or COMP.3040 Foundations of Comp Science.

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Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.