12 courses with the subject CTS, 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.
CTS 101Introduction to Digital Technologies3
The goal of this course is to help students gain a deeper appreciation of the capabilities and limitations of computing. Students will learn core computer science concepts and apply those using tools that they will use as future scientists, data analysts, and decision makers. By understanding software as more than a black box, students are better positioned to understand its value and its results, and make more intelligent decisions about when and how much to rely on software results. The course will use tools as Excel, Access, SQL, XML, and NetLogo to demonstrate principles.
This course introduces the elements of art and principles of design that create the language of visual communication. Through a variety of projects, in-class exercises, and homework assignments, students will engage in a rigorous creative process: brainstorming, conceptualizing, sketching, refinish, and producing. Students will be introduced to a variety of media and techniques and will become more conscious of the conceptual, expressive, and perceptual qualities of their aesthetic decisions, so they can effectively communicate visually. Through exposure to everything from Grand Masters to Madison Avenue ads, students will learn from examples of artists and designers from the past and present who have contributed to the visual landscape, to foster an awareness of visual systems of different cultures, time periods, and contemporary artists and to develop the ability to ask critical questions. Slide presentations and sketchbook assignments will introduce a variety of interpretations on how visual thinkers have perceived and used visual concepts and elements in their own artwork.
This course focuses on the design and development of web pages, including client-side web-based applications. Topics covered include Web concepts, interaction and user experience design, process used to develop web pages, usability and accessibility practices, techniques for testing and evaluating a web design, simple analytics of user behaviors, and an introduction to client-side scripting. Tools used include HTML, CSS, Web editors, imaging software, and JavaScript.
This course further explores JavaScript, with an emphasis on the Document Object Model (DOM), managing events and objects, and obtaining date from databases or web-based information services. Students will be introduced to server-side scripting, content management systems, and other methods and tools used to create dynamic web page content. This course continues to discuss interaction and user experience design, process used to develop web pages, usability and accessibility practices, techniques for testing and evaluating a web design, and simple analytics of user behaviors.
Students use technology tools to understand the different ways in which digital data may be stored, the impact this has on how this data can be retrieved, and the different ways data may be analyzed and visualized. Structured data is emphasized throughout this course, while unstructured data will be introduced and discussed. An introduction to a programming language (e.g., Python, R) is included in this course.
This course will provide you the knowledge and techniques to approach phenomena analytically. Specially, you will learn the role and process of the data science lifecycle in understanding and gaining insight about phenomena, including how to ask the appropriate questions, identify the appropriate data and information needed, use the appropriate tools to analyze a large volume of data, evaluate the findings effectively with parameters, find the appropriate answers, and present the answers and compellingly. In the business context such knowledge can enable organizations to make quality decisions and develop important business strategies that can enhance organizational performance and that can contribute to significant financial gains. You will proficiently acquire such knowledge and techniques through class discussion, lectures, readings, as well as hand-on exercises. Prerequisite(s): STA 202 or MTH 112.
Since the mid-20th Century, digital technology has repeatedly and thoroughly revolutionized human life. Indeed, it may be more accurate to see the digital as the ground for an overall change in the way that we know and experience reality. Topics covered in this course will include the origins of the digital revolution, media and information, artificial intelligence and its challenges, the simulation hypothesis, the digital and human values, and digital technology and the future of the planet.
CTS 409Capstone Project in Biology and Computer Science1
This course represents the capstone course for the interdisciplinary minor in Biology and Computer Science. Students will combine their computational and biological skills on a project they identify while faculty will provide mentoring support to project teams.
CTS 411Crowds, Social Media & Digital Collaboration3
Over the past years, crowds, social media, and digital collaborations have emerged as important topics in the IS field. Social media and other social information systems not only support communications and collaborations among the general crowd but also harness collective intelligence for innovation. This course covers the basic concepts and theories of social media, crowdsourcing, remixing, and sharing economy. Students will also learn analytics and applications around these trending topics.
This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statisical analysis along with reporting options such as management dashboards and balanced scorecards will be covered. Technologies utilized in the course included SAP Business Warehouse, SAP Business Objects, Crystal Reports, and RapidMiner.
This course must be completed by those software application & systems development (SASD) majors seeking to qualify for Departmental Honors in SASD. The student conducts an independent study honors project under the guidance of at least one faculty member in the program. Prior to registration for this course, a student must submit a proposal and have it approved by the department chair. A student may propose a research project culminating in a research paper or a software development project culminating in software engineering artifacts including a prototype implementation.
