Summer Courses

Course Description: This course continues the investigation into the application of data structures, algorithms, and fundamental Newtonian mechanics required for the development of video game applications, simulations, and entertainment software titles. Topics covered include quaternion representation of orientation and displacement, cubic curves and surfaces, classifiers, recursive generation of geometric structures, texture mapping, and the implementation of algorithms within game physics engines for collision detection and collision resolution of rigid bodies, and the numerical integration of the equations of motion. In addition, advanced data structures such as B+ trees and graphs will be investigated from the context of game application and entertainment software development. Programming assignments are a requirement for this course.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course continues to examine the core theories of game design as they relate to the professional field. Beginning with a formalized pitch process, this course examines the design and development paradigm from story-boarding and pre-visualization through rapid iteration, refinement, and structured prototyping exercises to further examine the validity of a given design. Specific emphasis is placed on iterative prototyping models, and on methodologies for both informal and formal critique. This course also explores production techniques and life-cycle in the professional industry.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course introduces level design theory and best practice through game level analysis, evaluation, and creation. Students will learn by analyzing game levels from existing games and discussing what made those levels successful or unsuccessful. Through their analysis and hands on experience, students will gain an understanding of overall level design including layout, flow, pacing, and balance. They will enhance their understanding of level design principles by creating their own game levels.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course is an exploration of the fundamentals of imaging science and the imaging systems of the past, present, and future. Imaging systems studied include the human visual system, consumer and entertainment applications (e.g., traditional and digital photography, television, digital television, HDTV, and virtual reality); medical applications (e.g., X-ray, ultrasound, and MRI); business/document applications (e.g., impact and non-impact printing, scanners, printers, fax machines, and copiers) and systems used in remote sensing and astronomy (e.g., night-vision systems, ground- and satellite-based observatories). The laboratory component reinforces the principles and theories discussed in the lecture, while giving students experience with many imaging systems and exposure to the underlying scientific principles.

Session: 6-Week Session 1 (5/14-6/27)

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

Course Description: This course is an exploration of the fundamentals of imaging science and the imaging systems of the past, present, and future. Imaging systems studied include the human visual system, consumer and entertainment applications (e.g., traditional and digital photography, television, digital television, HDTV, and virtual reality); medical applications (e.g., X-ray, ultrasound, and MRI); business/document applications (e.g., impact and non-impact printing, scanners, printers, fax machines, and copiers) and systems used in remote sensing and astronomy (e.g., night-vision systems, ground- and satellite-based observatories). The laboratory component reinforces the principles and theories discussed in the lecture, while giving students experience with many imaging systems and exposure to the underlying scientific principles.

Session: 6-Week Session 1 (5/14-6/27)

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

Course Description: Being an informed global citizen requires an understanding of the global business environment. Organizations critical to the development of the global business environment include for-profit businesses, non-profits, governmental, non-governmental, and supranational agencies. This course introduces students to the interdependent relationships between organizations and the global business environment. A holistic approach is used to examine the diverse economic, political, legal, cultural, and financial systems that influence both organizations and the global business environment.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course provides a functional introduction to programming, data structures, elemental computational theory, and data exploration for graduate students from non-computing backgrounds. Students prepare for working with data and artificial intelligence techniques.

Session: 6-Week Session 1 (5/14-6/27)

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

Course Description: Time value of money, methods of comparing alternatives, depreciation and depletion, income tax consideration and capital budgeting. Cannot be used as a professional elective for ISE majors. Course provides a foundation for engineers to effectively analyze engineering projects with respect to financial considerations.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This is the first in a two-course sequence oriented to the solution of real world engineering design problems. This is a capstone learning experience that integrates engineering theory, principles, and processes within a collaborative environment. Multidisciplinary student teams follow a systems engineering design process, which includes assessing customer needs, developing engineering specifications, generating and evaluating concepts, choosing an approach, developing the details of the design, and implementing the design to the extent feasible, for example by building and testing a prototype or implementing a chosen set of improvements to a process. This first course focuses primarily on defining the problem and developing the design, but may include elements of build/ implementation. The second course may include elements of design, but focuses on build/implementation and communicating information about the final design.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course presents the philosophy and methods that enable participants to develop quality strategies and drive process improvements. The fundamental elements of Lean Six Sigma are covered along with many problem solving and statistical tools that are valuable in driving process improvements in a broad range of business environments and industries. Successful completion of this course is accompanied by \"yellow belt\" certification and provides a solid foundation for those who also wish to pursue a \"green belt.\" (Green belt certification requires completion of an approved project which is beyond the scope of this course).

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course presents the philosophy and methods that enable participants to develop quality strategies and drive process improvements. The fundamental elements of Lean Six Sigma are covered along with many problem solving and statistical tools that are valuable in driving process improvements in a broad range of business environments and industries. Successful completion of this course is accompanied by \"yellow belt\" certification and provides a solid foundation for those who also wish to pursue a \"green belt.\" (Green belt certification requires completion of an approved project which is beyond the scope of this course).

Session: 12-Week Session (5/14-8/12)

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

Course Description: For the MS in Product Development (MPD) program. Students in the program must demonstrate intellectual leadership in the field of new product development. The general intent of the Capstone is to demonstrate knowledge of the integrative aspects of new product development in the context of a company-oriented problem solving project. The project should address issues of significance to multiple functions or disciplines and should draw upon skills and knowledge acquired from various courses and experiences in the program Team-based projects are encouraged. Projects must be approved in advance of registration.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course provides students with an introduction to internet and web technologies, and to development on Macintosh/UNIX computer platforms. Topics include HTML and CSS, CSS3 features, digital images, web page design and website publishing. Emphasis is placed on fundamentals, concepts and standards. Additional topics include the user experience, mobile design issues, and copyright/intellectual property considerations. Exercises and projects are required.

Session: 12-Week Session (5/14-8/12)

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

Course Description: A presentation of the fundamental concepts and theories used in organizing and structuring data. Coverage includes the data modeling process, basic relational model, normalization theory, relational algebra, and mapping a data model into a database schema. Structured Query Language is used to illustrate the translation of a data model to physical data organization. Modeling and programming assignments will be required. Note: students should have one course in object-oriented programming.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course builds on the basics of web page development that are presented in Web and Mobile I and extends that knowledge to focus on theories, issues, and technologies related to the design and development of web sites. An overview of web design concepts, including usability, accessibility, information architecture, and graphic design in the context of the web will be covered. Introduction to web site technologies, including HTTP, web client and server programming, and dynamic page generation from a database also will be explored. Development exercises are required.

Session: 6-Week Session 2 (6/30-8/12)

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

Course Description: Students will survey and apply contemporary techniques used in analyzing and modeling information requirements. Requirements will be elicited in a variety of domains and abstracted at conceptual, logical, and physical levels of detail. Process, data, and state modeling will be applied in projects that follow a systems development lifecycle. Object-oriented modeling will be explored and contrasted with data and process oriented modeling. Individual and team modeling assignments will be required.

Session: 12-Week Session (5/14-8/12)

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

Course Description: This course will introduce the topic of contemporary databases by covering the design, application and use of non-relational (NoSQL) database technologies. Topics include an overview of data types, structuring and processing data and knowledge, data transformation, and data storage and warehousing. Students will learn the interaction between relational and non-relational databases in the Cloud or other storage media. Programming assignments will be required.

Session: 6-Week Session 1 (5/14-6/27)

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

Course Description: This course provides students with exposure to foundational information sciences and technologies. Topics include an overview of data types, structuring and processing data and knowledge, data transformation, and data storage and warehousing. Students will work with non-traditional (noSQL) data stores to manage large datasets in the context of specific problem scenarios.

Session: 6-Week Session 1 (5/14-6/27)

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

Course Description: This course provides students with exposure to foundational data analytics technologies, focusing on unstructured data. Topics include unstructured data modeling, indexing, retrieval, text classification, text clustering, and information visualization.

Session: 12-Week Session (5/14-8/12)

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

Course Description: Rapidly expanding collections of data from all areas of society are becoming available in digital form. Computer-based methods are available to facilitate discovering new information and knowledge that is embedded in these collections of data. This course provides students with an introduction to the use of these data analytic methods, with a focus on statistical learning models, within the context of the data-driven knowledge discovery process. Topics include motivations for data-driven discovery, sources of discoverable knowledge (e.g., data, text, the web, maps), data selection and retrieval, data transformation, computer-based methods for data-driven discovery, and interpretation of results. Emphasis is placed on the application of knowledge discovery methods to specific domains.

Session: 12-Week Session (5/14-8/12)

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