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DIFD 322: User Experience Design (3:0:4).
3.00 Credits
Winthrop University
Description: This course will examine the responses of users and their interaction with a variety of interfaces. The focus of the course will be on efficient navigation principles, information hierarchy, and usability testing of digital systems. Testing methods and the process of managing user testing will also be covered. Notes: Lab Fee: $40. Offered in spring. Prerequisites: VCOM 262.
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DIFD 322 - User Experience Design (3:0:4).
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DIFD 351: Information Design Seminar: Special Topics (1).
1.00 Credits
Winthrop University
This course will explore personal, environmental, business, and social trends currently affecting Information Design. Adjacent fields such as human factors, humanities computing, HCI, information architecture and possibly library science, will be part of the discussion. Topics within these fields as they relate to Information Design, and the implications of changes in these fields will also be included. Topic discussions will include case studies, news items of the day, and recent journal entries. Notes: Offered in fall. Prerequisites: DIFD 151.
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DIFD 351 - Information Design Seminar: Special Topics (1).
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DIFD 415: Law and Ethics for Digital Media (3).
3.00 Credits
Winthrop University
Description: This course will require students to integrate legal and ethical issues of concern in information design relative to the four disciplines represented in the major. Students will review and analyze appropriate case law, federal regulations, and professional codes of conduct. Subjects to be covered include libel, privacy, and identity issues, copyright and trademark issues, photo and audio manipulation, fraud and liability issues, data security and cyber-terrorism, spam and junk mail issues, FTC and FCC regulations. Notes: Offered in fall. Prerequisites: DIFD major and junior or senior standing.
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DIFD 415 - Law and Ethics for Digital Media (3).
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DIFD 451: Senior Synthesis
3.00 Credits
Winthrop University
Description: This integrative seminar in information design requires students to design and implement a web-based (or other approved) communication and relationship-building program for an outside client. Students are expected to work in teams and to use knowledge and expertise from their individual tracks to complete a course project. Notes: Offered in spring. Prerequisites: [DIFD 322 and DIFD 415], or Senior Standing & Permission of the Department.
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DIFD 451 - Senior Synthesis
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DSCI 101: Data Science Seminar (1).
1.00 Credits
Winthrop University
Description: Introduction to data science careers and an overview of the field of data science. Notes: Offered in fall. Lab fee: $25.
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DSCI 101 - Data Science Seminar (1).
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DSCI 300: Introduction to Data Science
3.00 Credits
Winthrop University
Description: Description: Introduction to essential elements of data science, including knowledge discovery techniques, summarizing and visualizing data, and machine learning. Students will gain hands-on experience with current data mining software. Notes: Offered in fall and spring.
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DSCI 300 - Introduction to Data Science
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DSCI 301: Time Series
3.00 Credits
Winthrop University
Description: In this course we will study techniques to analyze time series, such as stationary processes, forecasting techniques, ARMA (Autoregressive Moving Average) models, and non-stationary and seasonal models. Applications to areas such as pattern recognition, econometrics, mathematical finance, and weather forecasting will be discussed. Notes: Offered periodically.
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DSCI 301 - Time Series
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DSCI 302: Big Data
3.00 Credits
Winthrop University
Description: This course familiarizes students with big data analysis as a tool for addressing substantive data science questions. The course provides hands-on experience in handling and analyzing large, complex data structures. Distributed storage, processing, and extraction techniques will be covered to process large datasets. Students will be required to complete a term project analyzing big data. Notes: Offered periodically.
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DSCI 302 - Big Data
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DSCI 350: Special Topics in Data Science
3.00 Credits
Winthrop University
Description: An in-depth study of an area of current interest in data science. Notes: Offered periodically.
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DSCI 350 - Special Topics in Data Science
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DSCI 401: Data Mining (3).
3.00 Credits
Winthrop University
Description: This course will provide a broad overview of data mining concepts, methodologies, implementation techniques, and programming. It will include fundamental topics such as decision trees and random forests, association rule mining, clustering, advanced regression techniques, Bayesian methods, and neural networks. Additional topics may include data cleaning and techniques for text and web mining. Prerequisite: DSCI 201, CSCI 208, and MATH 544. Notes: Offered in fall.
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DSCI 401 - Data Mining (3).
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