|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Prerequisite: Instructor ? permission. To be decided prior to registration in consultation with the instructor-sponsor and in accordance with the procedures of the Office of Academic Advisement. 1-6 Cr. By Arrangement
-
3.00 Credits
Prerequisites: MTH 121 or instructor ? approval. An introduction to computation as used in science and engineering. Emphasizes practical applications of formulas to real-life problems and on tools for their solution. Topics include: (1) some basic techniques used in computational modeling (linear regression for data-fitting, determination of areas and volumes, rate of change, and use of graphical calculator), (2) essentials of programming in FORTRAN 90; and (3) essentials of the UNIX operating system (basic commands, editors, file manipulation). 3 Cr.
-
3.00 Credits
Prerequisites: CSC 120 or CPS 101. An introduction to fundamental concepts of computational science using the Fortran 90 programming language, and the clear and concise written presentation of scientific results. Topics include: the Fortran 90 language, program construction and debugging, consequences of finite precision arithmetic, basic machine constants, and modeling of simple physical situations. May also include other modeling tools such as Stella, Agent Sheets, and Project Interactivate. Extensive programming required. 3 Cr.
-
3.00 Credits
Prerequisite: CPS 201. A continuation of CPS 201. Emphasizes commonly encountered scientific programming libraries (BLAS, LAPACK, ATLAS). Model problems in numerical linear algebra are heavily utilized. Topics include: advanced topics in Fortran 90 Programming (data structures, overloaded functions, dynamic memory allocation), programming in MATLAB, use of the UNIX operating system, use of the BLAS, LAPACK and ATLAS libraries, optimization of programs (by hand and via compiler optimization), and technical writing. Extensive programming in Fortran 90 and MATLAB required. 3 Cr.
-
3.00 Credits
The Internet has rapidly become a primary source of information, communication and entertainment for society. However, the rapid expansion has resulted in numerous issues that can adversely affect all Internet users. More importantly, new regulations are being passed that can expose users to significant legal risks. Fundamental legal principles that affect all users of the Internet will be discussed and analyzed. 3 Cr.
-
3.00 Credits
A discussion of issues related to the use of computers in the criminal justice system. Discussions of growing capabilities in and ramifications of such areas as forensic computing, criminal profiling, fingerprint identification, video image processing, and simulation of crime scenes. In addition, discussions of emerging and future trends in the use of computers as a crime fighting tool. 3 Cr.
-
3.00 Credits
Discusses ways society and science have affected each other. Introduces a historical perspective of this relation for the past several decades, including the contemporary society. Identifies trends and changes within science and technology in relation to the larger society. Students will attend lectures, discuss issues, and write essays. 3 Cr.
-
3.00 Credits
Prerequisite: CPS 202. An introduction in applied parallel computing, using the Message Passing Interface (MPI) standard for parallel communication. Topics include: parallel architectures, problem decomposition, extracting parallelism from problems, benchmarking and performance of parallel programs, applications to the sciences, and technical writing. Extensive programming in Fortran 90 and/or C/C++ required. 3 Cr.
-
3.00 Credits
Prerequisites: CPS 202 and MTH 203; and either MTH 243 or MTH 346. An introduction to stochastic and deterministic methods used to simulate systems of interest in a variety of applications, with emphasis on problem set-up and analysis and programming methods. Part I: discrete event simulation and statistical analysis of results. Part II: other examples of stochastic simulations such as the spread of forest fires. Part III: deterministic methods for particle simulations, with examples from astronomical and molecular simulation. In addition, a brief discussion of the simulation of continuous media. Extensive programming required. 3 Cr.
-
3.00 Credits
Prerequisites: CPS 304 and MTH 203; and either MTH 243 or MTH 346. A survey of scientific computing methods, emphasizing programming methods, interpretation of numerical results, and checks for numerical sensibility and self-consistency. The course is divided into several modules, including: (1) representation of floating point data, truncation and rounding error, and basic considerations for accurate numerical computation; (2) iterative numerical methods; (3) numerical differentiation and integration; (4) numerical interpolation; (5) random number generation; (6) the Fast Fourier Transform; and (7) numerical solution of ordinary differential equations. Extensive programming required. 3 Cr.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|