28 courses with the subject IT, 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.
Technology: Introduces information technology concepts including data management and structures, networks, Internet, data communications, application development, and logical design methods. Fall and Spring, 3 hours discussion, demonstration, and hands-on assignments,
introduction to computer software packages used in business-related applications. Focus will be placed on the development of skills using Windows®, word processing, spreadsheets, presentation applications, the World Wide Web, and other common application packages. Fall and Spring, 3 hours demonstration, discussion, and hands-on assignments,
Python: Introduces microcomputer programming utilizing Python programming language. Emphasizes structured programming techniques and code utilizing event-driven programming. Introduces the Python programming language for students without prior programming experience. Covers data types, control flow, object-oriented programming, and graphical user interface- driven applications. Spring, 3 hours discussion, demonstration, and hands-on assignments,
tools and knowledge necessary to design and manage a World Wide Web site. Students learn how to use a text editor to create content for the World Wide Web. The capstone of the course is the design of a fully functional web site by each student. Fall, 3 hours demonstration, discussion, and hands-on assignments,
concepts introduced in IT 1130. Students continue to create and manage content for the 234 Keystone College World Wide Web using HTML, Cascading Style Sheets (CSS), and the JavaScript programming language. The course covers the use of tables, form elements, multimedia, media queries, and JavaScript to develop dynamic, interactive websites. As a capstone project, students will expand on their previous work from IT 1130 by adding new pages and incorporating advanced features to create a fully dynamic website. demonstration, and hands-on assignments,
course is based on UC Berkeley’s Data 8 class. In an increasingly data-driven world, everyone should be able to understand the numbers that govern so much of our lives. Examines the core concepts of inference, data analysis and computing by working with real economic, social and geographic data. Pays particular attention to Bayes’ Theorem which is one of the most important concepts in applying statistics to the real world. Covers the implications and dangers of bias in data. 3 hours lecture and discussion, 3 credits. Online only; not offered every year.
This course is based on UC Berkeley’s Data 8 class. In an increasingly data-driven world, everyone should be able to understand the numbers that govern so much of our lives. Examines the core concepts of inference, data analysis and computing by working with real economic, social and geographic data. Introduces the applications of data analytics in the workforce, with specific attention paid to the role of the data scientist or analyst, and to the application of Big Data. Prerequisite: IT 1140. 3 hours lecture and discussion, 3 credits. Online only; not offered every year.
Continues IT 1115 with advanced study of computer software packages used in business-related applications. Focuses on the advanced applications and functions of word processing, spreadsheet, database, and presentation applications. Hands-on course activities include integration of programs and programs with the World Wide Web. Fall and Spring, 3 hours demonstration, discussion, and hands-on assignments,
152 Keystone College
Continues from IT 2115, focusing on advanced topics in the design, implementation, and use of database management systems. Emphasizes skills in database design and development, including the creation of design documents, the normalization process, and implementation using MySQL Workbench.
Introduces computer software packages used in business-related applications. Focuses on the development of skills and knowledge for the use of spreadsheets and databases applications. Emphasizes the use of formulas, functions, and graphs in spreadsheets and the use of tables, queries, forms, and reports in databases. discussion, demonstration, and hands-on assignments,
Introduces software and hardware requirements needed to be able to communicate across a network. Studies the structure and technologies of computer networks, transmission of signals, topologies associated with cabling, Ethernet media access techniques, collision and broadcast domains, and mechanics of IP addressing. Discussion, laboratory assignments, skills-based assessment, and presentations are required. Fall, 3 hours demonstration, discussion, and hands-on assignments,
Technologies: Provides a continuation of the software and hardware requirements to be able to communicate across a network. Topics include distance vector and link state routing theory, routing loop issues, routing concepts, TCP/IP theory, network packet analysis, and IP addressing. Discussion, assignments, skills- 235 Keystone College based assessment, and presentations are required.
history of the Internet and the World Wide Web, technologies for e-commerce, business strategies for Internet marketing and advertising business opportunities in a global market, legal issues, and the role of e-commerce in our economy and society. Case studies and business examples complement conceptual coverage to provide a real-world context. Spring and Summer, 3 hours discussion demonstration, and hands-on assignments,
76 Keystone College
Languages: Introduces scripting technologies used in the development of web sites. Focuses on PHP and students will work with arrays, loops, condition statements, event modeling and dynamic content. Requires students to develop a fully functional web site upon completion of this course. discussion, demonstration, and hands-on assignments,
oriented programming and creation of the projects using Java. Topics include object- oriented programming, inheritance, logical decisions, arrays and creation of classes with an introduction to data objects. Prerequisites MATH 1125 or similar and IT 1120. Fall, 3 hours, discussion, demonstration and hands on assignments,
obtained in IT 3130. Topics include object- oriented programming including graphics and animation, saving data and object in files and Advanced GUI topics.
data management, the understanding of data science, design of experiments, regressions, non- parametric techniques, contingency tables, and introduces the responses of decision theory and presentation of data. Students will work with various software and database tools to construct data projects, portfolios, and forecasts. demonstration, discussion, and hands-on assignments,
Analytics: Builds on Principles and Techniques of Data Analytics I and provides students with a more robust understanding of the tools of a data scientist. Data Analytics combines data, computation and inferential thinking to solve challenging problems to thereby better understand the world. Explores key principles and techniques of data science, including quantitative critical thinking and algorithms for machine learning methods. Introduces students to the ways in which data analytics is deployed in healthcare, marketing, political science, criminal justice, and other fields. Prerequisites: IT 1120, 1140, 1145, 3190, MATH 2150, and CPSC 1140. 3 hours lecture and discussion, 3 credits. Online only; not offered every year.
focuses on using the most common business analytics tools in the industry. You’ll build foundational skills in SQL and Tableau to extract, analyze, and visualize data. You’ll also dive into database design, hypothesis testing, and the nuances of big data in the business landscape.
intended as a continuation of Business Analytics I. You’ll build on your knowledge of business analytics tools by learning advanced SQL and Tableau skills and predictive modeling. This course is oriented around business case studies to apply this newfound knowledge to real-world scenarios.
environments utilizing information technology and the implementation of security. Discusses the principles of information security on which managerial strategy can be formulated and technical solutions made available to coordinators, administrators, and personnel. Provide materials and resources to help understand ethics, laws, policies, and recovery programs needed in information technology and security programs. Helps provide information on how to ensure security successfully and effectively in many environments including information technology, business, financing, and education. Fall, 3 hours lecture and discussion,
analysis and design of information processing 236 Keystone College systems. Emphasis is placed on the tools and techniques during each phase of the systems development life cycle. Team approach utilized using CASE tools to analyze and design a system for business-related problems.
course using object-oriented programming concepts with C#. Topics include object- oriented programming, class construction, overloading, serialization, inheritance, abstraction, polymorphism among other software component development methods. Demonstrates an approach which can be used as a template and starting off point for other C# applications and uses case study modeling. Spring, 3 hours, discussion, demonstration and hands on assignments,
Offers students opportunities for work experience in an information technology field. Prerequisite: open to senior information technology majors only. Fall and Spring, 40 hours practicum equals 1 credit, 1-6 credits. Open only to degree seeking students.
Technology: Explores in detail the historical perspective, current issues and trends, and future development in the field of information technology. The role of information technology in the various areas of industry, business, and education, will be examined and discussed. Fall, 3 hours demonstration, discussion, and hands-on assignments,
Curricular Electives (choose 2 not used above)
Source: Keystone College's catalog, linked per course · table learning_unit · CourseShelf publish 59
