Course Description
This interdisciplinary course provides instruction and exposure to the theory, tools, and techniques that connect data to information, knowledge, and decisions. Students will gain the knowledge and skills necessary to deeply engage in the increasingly interdisciplinary, data-driven, security-focused industrial and research enterprises as they complete practical analytical tasks and projects.
Athena Title
Informatics Foundations
Prerequisite
Permission of major
Semester Course Offered
Offered fall and spring
Grading System
A - F (Traditional)
Course Objectives
1. Manage, manipulate, and visualize data of all common types 2. Identify data challenges in real-world applications 3. Design a data-driven decision process to fulfill research or business needs 4. Implement data-to-information pipelines using visual programming and scripting 5. Visualize data and information for analytics and communication 6. Use computational tools to work on analytics problems collaboratively 7. Prepare and present results from informatics applications and research
Topical Outline
1. Data Dimensions and Types 2. Local and Networked Data Storage and Retrieval, Real-time data streams 3. Structured and Unstructured Data, Meta-Data 4. Data Visualization 5. Visual Analytics 6. Data processing tools and techniques 7. System and Process Modelling 8. Regression and Classification 9. Machine Learning and Decision Making 10. Information Visualization Topics will be covered in context with modern, real-world challenges, such as national security, education, health, food production, and environmental issues, that highlight the cross-cutting nature of informatics knowledge and skills.
Syllabus
Public CV