Summer Courses

Course Description: This course provides a graduate-level introduction to the concepts and techniques used in data mining. Topics include the knowledge discovery process; prototype development and building data mining models; current issues and application domains for data mining; and legal and ethical issues involved in collecting and mining data. Both algorithmic and application issues are emphasized to permit students to gain the knowledge needed to conduct research in data mining and apply data mining techniques in practical applications. Data mining projects, a term paper, and presentations are required.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Project capstone of the master's degree program. Students select from a set of possible projects and confirm that they have a project adviser. Students enroll in a required colloquium component that meets weekly, during which they present information, related to their projects. Projects culminate with delivery of a final report and participation in a poster session open to the public.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Project capstone of the master's degree program. Students select from a set of possible projects and confirm that they have a project adviser. Students enroll in a required colloquium component that meets weekly, during which they present information, related to their projects. Projects culminate with delivery of a final report and participation in a poster session open to the public.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is designed to give students a foundation in the theories and practice relating to web application security. The course will introduce students to the concepts associated with deploying and securing a typical HTTP environment as well as defensive techniques they may employ.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course explores current topics in computing security. It is intended as a place holder course for faculty to experiment new course offerings in Computing Security undergraduate program. Course specific details change with respect to each specific focal area proposed by faculty.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course offers an opportunity to learn about a specific seminar topic in more depth. The course description will be replaced by the specific instance of the seminar, as it is proposed by faculty.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course is one of the capstone options in the MS in Computing Security program. It offers students the opportunity to investigate a selected topic within the computing security domain. A project involves some type of practical development with a deliverable. This may include development with computer equipment, software packages, and programming/scripting languages. Alternately, it may be the development and demonstration of an innovative process that addresses a current computing security issue or problem. Students must submit an acceptable proposal to a project committee (chair, and reader) before they may be registered by the department for the MS in CSEC Project. Students must defend their work in an open project defense and complete a written report of their work before a letter grade is awarded. A well-written professional report is required that details current thinking on the topic in the professional literature, the design and implementation of development that was done, and a critical evaluation of the results.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: A survey of operations and supply chain management that relates to both service- and goods- producing organizations. Topics include operations and supply chain strategies; ethical behavior; forecasting; product and service design, including innovation and sustainability; capacity and inventory management; lean operations; managing projects; quality assurance; global supply chains; and the impacts of technology.

Session: 6-Week Session 1 (5/15-6/26)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Study of the management of operations and supply chain management. Encompasses both manufacturing and services. Topics include operations and supply chain strategy, ethical behavior, forecasting; work systems, inventory management, capacity and materials planning, lean operation, supply chain design and closed-loop supply chains, global operations, quality management, quality control, and quality improvement, project management; and current issues.

Session: 6-Week Session 1 (5/15-6/26)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course focuses on the software engineering challenges of building scalable and highly available big data software systems. Software design and development methodologies and available technologies addressing the major software aspects of a big data system including software architectures, application design patterns, different types of data models and data management, and deployment architectures will be covered in this course.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course provides the student with an opportunity to complete their capstone project, if extra time is needed after enrollment in the on campus capstone courses DSCI-601 and DSCI-602 (Applied Data Science I and II) or the online capstone course DSCI-799 (Graduate Capstone). The student continues to work closely with his/her advisor to complete their project.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course will cover advanced specialized topics data science. Such topics are may be emerging and advanced. Specific prerequisites will be noted for each specific special topic.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Microeconomics studies the workings of individual markets. That is, it examines the interaction of the demanders of goods and services with the suppliers of those goods and services. It explores how the behavior of consumers (demanders), the behavior of producers (suppliers), and the level of market competition influence market outcomes.

Session: 6-Week Session 1 (5/15-6/26)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Microeconomics studies the workings of individual markets. That is, it examines the interaction of the demanders of goods and services with the suppliers of those goods and services. It explores how the behavior of consumers (demanders), the behavior of producers (suppliers), and the level of market competition influence market outcomes.

Session: 6-Week Session 2 (7/1-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Macroeconomics studies aggregate economic behavior. The course begins by presenting the production possibilities model. This is followed by a discussion of basic macroeconomic concepts including inflation, unemployment, and economic growth and fluctuations. The next topic is national income accounting, which is the measurement of macroeconomic variables. The latter part of the course focuses on the development of one or more macroeconomic models, a discussion of the role of money in the macroeconomy, the aggregate supply-aggregate demand framework, and other topics the individual instructor may choose.

Session: 6-Week Session 2 (7/1-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Game theory uses a mathematical approach to study situations of strategic interdependence, i.e., situations with two or more players in which each player's decision influences payoffs of other players and players are aware of this fact when making their decisions. Game theory has been applied to understand diverse economic, political and biological phenomena. We will study how to formulate situations of strategic interdependence as game theoretic models; how to explain/predict behavior of the parties involved, through the use of various equilibrium concepts; and/or identify guidelines for appropriate behavior. The concepts and methods will be illustrated with many examples. The objective is to introduce you to language of game theory and its methodology, and to develop analytical reasoning skills.

Session: 6-Week Session 1 (5/15-6/26)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Managerial Economics involves the application of economic theory to business decision-making. Most of the emphasis is microeconomic in nature, the theory of the firm and consumer theory, but there is some macroeconomic influence, particularly in the forecasting area. Since this is an applied economics course, it has a strong quantitative flavor.

Session: 6-Week Session 2 (7/1-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: This course examines the physiological, psychological, and socio/cultural factors related to learning and development of humans throughout the life cycle, as appropriate for the organization's needs. Selected theories of learning and development are critically analyzed and applied to teaching contexts. Students are expected to critically examine their own assumptions and beliefs about learning, and development and develop an appropriate approach to the task of designing learning based on the organization's workforce and needs. Attention is given to stages of cognitive growth, the development of learning goals, learning environments, and to a variety of theories of learning. Learning styles are discussed as a sub component of learning theories.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Learning in the 21st century requires creating an engaging and exciting learning experience whether you are interested in online, classroom-based or blended, and delivery for a school, college or training environment. This course guides you through the process of developing and applying a learning product or solution that addresses a performance gap or educational need in any educational or training experience. The course learning outcome is to develop an instructional strategy proposal, create a learning plan that includes technology to support the learning experience and then evaluate the effectiveness of that learning plan. Course topics include: learning in the 21st century, understanding diversity in learning design, and applying assistive technologies, analyzing task and learner needs; applying instructional design principles with a focus on educational technologies, exploring innovative and emerging technologies; and evaluating strategy. Upon completion of this course, students will be able to: Demonstrate knowledge of a job analysis/needs analysis and selection of an appropriate model to accomplish learning. Demonstrate the ability to develop and implement a learning strategy using technology, given the needs of the learners and the organization. Describe how to conduct a formative evaluation process evaluating the effectiveness and efficiency of the selected learning strategy in the work environment including learner achievement and the organization's needs. Evaluate technology used for learning and training purposes. This course is open to any graduate status student or department permission.

Session: 7-Week Graduate Session (5/15-7/5)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.

Course Description: Covers basics of DC circuit analysis starting with the definition of voltage, current, resistance, power and energy. Linearity and superposition, together with Kirchhoff's laws, are applied to analysis of circuits having series, parallel and other combinations of circuit elements. Thevenin, Norton and maximum power transfer theorems are proved and applied. Circuits with ideal op-amps are introduced. Inductance and capacitance are introduced and the transient response of RL, RC and RLC circuits to step inputs is established. Practical aspects of the properties of passive devices and batteries are discussed, as are the characteristics of battery-powered circuitry. The laboratory component incorporates use of both computer and manually controlled instrumentation including power supplies, signal generators and oscilloscopes to reinforce concepts discussed in class as well as circuit design and simulation software.

Session: 12-Week Session (5/15-8/13)

For prerequisites, availability, other details and to register, go to http://sis.rit.edu/.