9 courses with the subject BDS, 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.
BDS 1100Storytelling with Data3
Students are introduced to building and presenting compelling narratives and stories with data for multiple audiences through case studies, examples, and data visualization tool kits. The life cycle of a data science project is presented. Various strategies and techniques for building visual analytics and stories are utilized for the purposes of enhanced social impact and decision-making.
Basic concepts, techniques, and a variety of applications of artificial intelligence are introduced. The processes and limits of human decision-making and learning in combination with AI systems are presented. This course includes hands-on exercises. Teams of students create an AI-based application for the final project.
BDS 2240Programming for Computer Science and Data Science3
Students are provided with the skills to use Python programming for computer science and data science projects. Fundamental programming skills are emphasized. Python is utilized to manipulate data in data science practice and applications.
The theory and applications of machine learning concepts and algorithms are introduced. Key topics in machine learning, including supervised and unsupervised learning algorithms, are covered. Additional topics include linear models for regression and classification, decision trees, support vector machines and kernel methods, ensemble methods, and dimension reduction. The machine learning algorithms are applied to solve problems with real data.
Students develop proficiency in database design and acquire knowledge of SQL programming. NoSQL database systems optimized for big data analytics are covered. The focus is on demonstrating how relational databases, coupled with efficient programming, can help effectively manage data and deliver reliable results.
This course introduces students to the concepts, tools, trends, and technologies for data and application security. The focus will be on examining data and information security methodologies for the control, protection, and access as well as the preservation of the integrity of the data. Topics covered will include secure databases and distributed systems, privacy, confidentiality, and trust management, and cybersecurity ARTIFICIAL INTELLIGENCE CONCENTRATION ELECTIVES
This course is designed to provide students with advanced machine learning and Python programming skills to learn today’s most compelling leading-edge computing technologies including AI, big data and cloud case studies on natural language processing, IBM Watson cognitive computing, machine learning, deep learning, computer vision, Hadoop, Spark and the internet of things.
Introduces the concepts and applications of deep learning and theories behind AI- powered Chatbots and the tools for building and implementing them. BUSINESS ANALYTICS CONCENTRATION ELECTIVES
The internship experience is about exploring and understanding data science needs and practices within a real-world organizational context. The skills and knowledge acquired through academic experiences are integrated into the work and presented in reflective discussions and projects. ARTIFICIAL INTELLIGENCE CONCENTRATION ELECTIVES
