Summer Courses

Course Description: This course is an introduction to the study of ordinary differential equations and their applications. Topics include solutions to first order equations and linear second order equations, method of undetermined coefficients, variation of parameters, linear independence and the Wronskian, vibrating systems, and Laplace transforms.

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 is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.

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 is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.

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 introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.

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 provides an introduction to boundary value problems. Topics include Fourier series, separation of variables, Laplace's equation, the heat equation, and the wave equation in Cartesian and polar coordinate systems.

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 is a second course in linear algebra that provides an in-depth study of fundamental concepts of the subject. It focuses largely on the effect that a choice of basis has on our understanding of and ability to solve problems with linear operators. Topics include linear transformations, similarity, inner products and orthogonality, QR factorization, singular value decomposition, and the Spectral Theorem. The course includes both computational techniques and the further development of mathematical reasoning skills.

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 covers the theory of graphs and networks for both directed and undirected graphs. Topics include graph isomorphism, Eulerian and Hamiltonian graphs, matching, covers, connectivity, coloring, and planarity. There is an emphasis on applications to real world problems and on graph algorithms such as those for spanning trees, shortest paths, and network flows.

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: The experiential learning requirement in the Applied Mathematics and Computational Mathematics programs can be accomplished in various ways. This course exists to record the completion of experiential learning activities that have been pre-approved by the School of Mathematical Sciences. Such pre-approval is considered on a case-by-case basis.

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 serves as a bridge course that builds the mathematical foundations needed for the IDAI-620 course, Mathematical Methods for Artificial Intelligence, a course introducing the mathematical background for AI systems in the MS in AI program. It focuses on the basic constructions, structures, and results in four key areas: (1) linear algebra (vectors, matrices, and their operations) (2) optimization theory (multivariable functions and their calculus) (3) probability and statistics (basic combinatorics, elementary statistics) and (4) numerical analysis (basic notions of approximation).

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 number is used to fulfill the graduate project requirement under the non-thesis option for the MS degree in Microelectronic Engineering. During this course, the student will be required to perform a literature survey, and conduct a limited scope investigation. Appropriate topics for this project may include: (i) development/characterization/documentation of semiconductor fabrication processes, (ii) characterization/measurement/documentation of semiconductor devices, or (iii) detailed simulation/design/documentation of semiconductor devices or processes. Alternative topics may be pursued with approval of the faculty advisor. The student must obtain the approval of an appropriate faculty member to supervise the paper before registering for 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 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 (5/15-8/13)

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

Course Description: Topics and subject areas that are not regularly offered are provided under this course. Such courses are offered in a normal format; that is, regularly scheduled class sessions with an instructor.

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 trains students to utilize mathematical techniques from an engineering perspective, and provides essential background for success in graduate level studies. An intensive review of linear and nonlinear ordinary differential equations and Laplace transforms is provided. Laplace transform methods are extended to boundary-value problems and applications to control theory are discussed. Problem solving efficiency is stressed, and to this end, the utility of various available techniques are contrasted. The frequency response of ordinary differential equations is discussed extensively. Applications of linear algebra are examined, including the use of eigenvalue analysis in the solution of linear systems and in multivariate optimization. An introduction to Fourier analysis is also provided.

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 is one of a two-course set of courses that explores the biology of the human body. This course focuses on: cells, their structure, and organization; the human reproductive cycle; principle of genetic inheritance; transmission of disease and the body's defense against disease. Recommended to concurrently take: MEDG-103 Human Biology Laboratory I *Note: Taken alone, this course fulfills the Scientific Principles Perspective. When taken with MEDG-103 the two courses together fulfill the Natural Science Inquiry Perspective

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 is one of a two-course set of courses that explores the biology of the human body. This course focuses on the examination of the body's structure (anatomy), its function (physiology), the principle of homeostasis that governs the integrated control of all body organ systems, and various disease states (pathology) that affect its health. Recommended to concurrently take: MEDG-104 Human Biology Laboratory II *Note: Taken alone, this course fulfills the Scientific Principles Perspective. When taken with MEDG-104 the two courses together fulfill the Natural Science Inquiry Perspective

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 laboratory complements the lecture material of Human Biology I. Experiments are designed to illustrate the dynamic characteristics of a cell during processes of inheritance, development and disease. Recommended to concurrently take: MEDG-101 Human Biology I *Note: When taken with MEDG-101 the two courses together fulfill the Natural Science Inquiry Perspective

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 laboratory course complements the lecture material presented in Human Biology II. Lab experiments are designed to illustrate the dynamic anatomy and physiology of the human body organ systems. Recommended to concurrently take: MEDG-102 Human Biology II *Note: When taken with MEDG-102 the two courses together fulfill the Natural Science Inquiry Perspective.

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 seven-week course is an introduction to clinical practice for graduate students in Medical Informatics. It consists of the study of medical specialties including shadowing of clinicians in these areas. Students in this course will be part of a team of health care professionals in the selected specialties. They will make rounds with providers, attend key IT and HI meetings, assist with information gathering and dissemination, and observe specialty specific disease process, diagnosis, and treatment. They will observe and note clinical workflow and technology usage. They will interact with team members and assist with the acquisition of reference knowledge as appropriate.

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: This seven-week course is an introduction to clinical practice for graduate students in Medical Informatics. It consists of the study of medical specialties including shadowing of clinicians in these areas. Students in this course will be part of a team of health care professionals in the selected specialties. They will make rounds with providers, attend key IT and HI meetings, assist with information gathering and dissemination, and observe specialty specific disease process, diagnosis, and treatment. They will observe and note clinical workflow and technology usage. They will interact with team members and assist with the acquisition of reference knowledge as appropriate.

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: This team-based course provides students with the opportunity to apply the knowledge and skills learned in coursework to design, develop, and implement a solution to a real problem in the medical informatics domain. Project teams also will be responsible for submitting a final project report, and for making a final presentation to project stakeholders. (Completion of first year courses)

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

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