Teaching
Data Science in Practice
Data Science in Practice An overview of fundamental concepts in Data Science, exploring the relationship between Data Science and Computer Science, as well as practical applications of data science principles in software development through hands-on experience in solving problems using data science techniques by developing and implementing software solutions. Utilize a range of popular tools, including Scikit-learn, Weka, Gensim, and others,
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Advanced Software Analysis and Design CIS 744 – Advanced concepts and practicum in object-oriented analysis, modeling, design, implementation, testing, and use of CASE tools; relationships among structural, static, and dynamic models; relationship among conceptual, system, and implementation models.
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CS 145 Web Design Basic design principles and how these principles apply to website construction. HTML, HTML editors and Cascading Style Sheets. Laboratory projects reflect practical usage of course concepts
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