Clemson University
Public University • US
Showing 5 courses from Clemson University
Database Management Systems
Clemson University (via Coursera)
This course introduces database concepts as related to the design of online data systems. This course will focus on the design and use of the MySQL relational database and Structured Query Language (SQL). Problems involving structuring, creating, maintaining, and accessing multi-user databases are presented and solutions developed. Comparisons of several commercially available database management systems are made including NoSQL systems.
AI Receptive Software Development
Clemson University (via Coursera)
Designed to be accessible as an entry-level course in modern software development principles, this course embraces the potential for strategic integration and appropriate use of AI tools to enhance operational efficiency of the development process without compromising quality or safety. Emphasis is also placed on human-centered design, ensuring an enhanced user experience both during development and post development of software technology.
Applied Data Science
Clemson University (via Coursera)
Being able to extract knowledge from large, complex data sets is one of the most critical skills in today’s data-driven world. This course provides an introduction to fundamental concepts and techniques of Data Science. Learners will learn to combine tools and methods from computer science, statistics, data visualization, and the social sciences to extract knowledge from data. Concepts taught in the course will be illustrated with case studies drawn from fields such as business, public health, and the social sciences. This class focuses on teaching library (e.g, Pandas) based data analysis and model development.
Human-Centered Artificial Intelligence
Clemson University (via Coursera)
Human-Centered Artificial Intelligence (HCC-6600) offers a deep-dive exploration into the ever-evolving landscape of artificial intelligence (AI) with a specific focus on the human aspect of the technology. This course provides an opportunity for learners to grasp the core principles and practices of AI while remaining critically aware of its implications for humanity. This course is designed to offer a well-rounded perspective, blending elements from diverse fields such as computer science, cognitive science, ethics, and design thinking. The aim is to ensure that learners emerge with not just an understanding of how AI systems are created and function, but also how these systems can be designed to respect and prioritize human values and needs.
Design and Analysis of Algorithms
Clemson University (via Coursera)
The study of algorithms is a significant part of the foundation for the discipline of computing. Over the past several decades, research in algorithmic computer science has advanced at a rapid pace its contributions have had a profound impact on almost every area of science and industry. In this graduate-level course, we aim to provide a modern introduction to the study of algorithms that is both broad and deep. The primary goals of the course are: (1) to become proficient in the application of fundamental algorithm design techniques, as well as the main tools used in the analysis of algorithms, (2) to study and analyze different algorithms for many of the most common types of “standard” algorithmic problems, and (3) to improve one’s ability to implement algorithmic ideas in code.