10 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DSC 1020INTRODUCTION TO STATISTICAL REASONING3
An introductory course in statistical literacy and concepts with a focus on responsible consumption and interpretation of data using statistical software. Topics include data sources and sampling, data types and measurement, visual displays and description of data, the role of probability in statistics, interpreting correlation, and the fundamentals of hypothesis testing. Offered: as needed
Introduction to foundational concepts and technologies used to work with, manipulate, and analyze data. Students will derive information and draw conclusions with large data sets through an introduction to programming languages and tools used in data science. Offered: as needed
An introduction to data visualization and manipulation. Students will learn the importance of actionable dashboards enabling data-driven decisions using software such as Qlik, Tableau, and/or Power BI. Students will also focus on the loading, manipulating, processing, cleaning, aggregating, and grouping of data through Python. Prior Python experience is necessary. Offered: as needed
(1) CSC 2010 or DSC 2100 or (2) permission of the instructor
DSC 3500INTRODUCTION TO MACHINE LEARNING MODELS3
An introduction to machine learning to determine what machine learning is and why it is used. Students will examine algorithms and systems that can learn without being explicitly programmed. Machine learning systems, machine learning involving regression, classification systems, training of linear models, closed-form solutions, support vector machines, and unsupervised learning techniques will be explored. This course is taught in Python. Offered: as needed
Internships provide opportunities for well-qualified, upper-division students to work in a professional setting and gain valuable experience, while assisting a host agency with its mission. These can be found locally or in other places and can be with a government agency, non-profit organization, or private enterprise. Students may take up to three times for a DSC elective. Offered: as needed.
Data Mining is the process of finding meaningful new correlations, patterns, trends and rules by sifting through large amounts of data using pattern recognition, statistical, and mathematical techniques. Challenges include the interpretation of data and the knowledge of appropriate tools. This course presents topics in data analysis from an industrial engineering and production systems perspective. Return to Table of Contents
The objective of this course is to learn and apply statistical methods for the analysis of data that have been observed over time. It provides students with sufficient understanding and ability to model, analyze, and develop time-series analysis and forecasts for engineering and business decisions. Students will learn univariate time series data modeling with autoregressive and Moving Average models. It also provides tools for model identification, model estimation, and assessment of the suitability of the model. Smoothing methods and trend/seasonal decomposition methods are also discussed in this course along with using a model for forecasting and determining prediction intervals for forecasts. The emphasis will be on quantitative methods. Statistical software will be used in this course. instructor Cross-listed with ISE 4420 Offered: as needed in the spring semester
EGR 3320; or ECO 3160 and MAT 2410; or DSC 2100 and MAT 2410; or permission of
Alias
ISE 4420
DSC 4500ETHICS IN MATHEMATICAL MODELING AND DATA SCIENCES3
An introduction exploring various ethical issues related to computing technology, mathematical sciences, and data science. Subjects include basic and advanced issues from social media privacy to implications of machine learning and artificial intelligence. Offered: as needed
An opportunity for a well-qualified, upper-division student to engage in special research in his/her major. and the college dean before approval by Provost. Credits to be determined. Offered: as needed COLLEGE OF ARTS, HUMANITIES, AND SCIENCES Programs in the College of Arts, Humanities, and Sciences denoted with an *asterisk are also available in a fully online setting through MU Online. Return to Table of Contents
