10 courses with the subject ITD, 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.
Stresses a working knowledge of web site designs, construction, and management using HTML or XHTML. Includes headings, lists, links, images, image maps, tables, forms, and frames.
Introduces the student to Relational Database and Relational Database theory. Includes planning, defining and using a database; table design, linking, and normalization; types of databases, database description and definition.
Incorporates a working introduction to commands, functions and operators used in SQL for extracting data from standard databases.
Covers an introduction to relational database theory and how to administer and query databases using multiple commercial database systems.
Introduces students to artificial intelligence and machine learning. Examines basic theory, algorithms, and applications. Focuses on feature engineering and machine learning applications within the larger world of artificial intelligence. Part I of II.
Reviews the fundamentals of descriptive and inferential statistics, probability, and distributions, as well as basic dataset manipulation and plotting techniques. Focuses on application to real datasets using graphical user interface (GUI) software tools as well as Python.
Incorporates advanced techniques in web site planning, design, usability, accessibility, advanced site management, and maintenance utilizing web editor software(s).
Emphasizes techniques to plan and design a platform-independent commerce Web site. Focuses on web business strategies, and the hardware and software tools necessary for Internet commerce, including comparison and selection of commerce architecture, installation and configuration, security considerations, and planning of a complete business-to-consumer and business-to-business site.
Surveys Big Data and data analytics, including demonstrations and applications of widely used tools and methods. Offers practice in data extraction and visualization.
Focuses in-depth instruction in the handling of critical tasks of planning and implementing large databases. Includes an introduction to concepts of advanced data warehousing and database configuration.
Source: Germanna Community College's catalog, linked per course · table learning_unit · CourseShelf publish 59
