Covers basic object-oriented programming, event-driven programming, graphical user interface (GUI) creation, recursion, two-dimensional arrays, and introduces programming in C and Java. (General Education Code(s): MF, IN.) The Staff, P. Major concepts and open problems in computer science are presented without reliance on sophisticated mathematical tools. No programming skills are required as a prerequisite. Topics include algorithms and data, correctness and efficiency of algorithms, hardware, programming languages, limitations of computation, applications, and social issues. F,W,SĪn overview of the theory, foundations, and practice of computer science with emphasis on what computers can and cannot do, now and in the future. This course and courses 5C and 5J cover largely the same material, but use different programming languages. Students write medium-sized programs to solve web-based and scientific problems. Introduces students to computers, programming tools, and editors. Students learn programming and documentation skills, as well as algorithmic problem-solving and programming methodologies. Introduction to programming for engineering or science students who have no prior programming experience. (Formerly course 60G.) (General Education Code(s): MF, IN.) D. The two-quarter sequence courses 5J and 11 cover in two quarters the same material as the accelerated introductory course and lab 12A/L cover in one quarter. Introduces computers, compilers, and editors. Introductory programming for School of Engineering majors who have no prior programming experience. (Formerly course 60N.) (General Education Code(s): MF, IN.) I. This course and courses 5J and 5P cover the same material, but use different programming languages. Students learn programming and documentation skills as well as algorithmic problem-solving and programming methodologies. Introductory programming for students who have no prior programming experience. (General Education Code(s): PE-T, IN.) The Staff, R. Students cannot receive credit for this course and Computer Engineering 3. Preference is given to students who have not taken other computer engineering or computer science courses. Designed for students with little or no experience using computers. Introduction to programming concepts and computer languages. Computers as symbol manipulation devices. Topics covered include network information systems, text editors, formatting, file and directory system, spreadsheets and databases. Introduction to how computers work and how to use them. Gender Identity and Sexual Orientation Questions.FAQs for Faculty and Staff: Privacy of Student Records.American History and Institutions Courses.I know that I can just export the data and use gnuplot or xmgrace, but I would rather do all the processing in one program if possible. This seems like it should be a simple thing to accomplish, and a fairly common task, but I've had no luck finding a tutorial or explanation online. Switching to "Use Data Array" and Points(2) for the z-coordinates, I get an error "No X column is set (index 0)." When I do this, the experimental data aren't plotted over the correct part of the CFD data. If I use "Plot Data", I can get both to show up, but only if I set the X axis data to "Use Array Index From Y Axis Data". I think this is due to rounding in the coordinates for the line vs. If I use "Plot Over Line", the experimental data doesn't show in the plot. I have tried using the "Group Datasets" filter to combine the two sources, but when I try to plot I run into problems. I can create the two plots separately, using the "Plot Over Line" filter for the CFD data, and the "Plot Data" filter for the experimental data. I would like to plot the pressure along the y-axis at x=-0.08573 as a function of z, and overlay crosshairs to show the experimental data. The computed data is saved in Ensight format on an unstructured 3D mesh.Īs an example, I have the following experimental data: The experimental data is saved as a comma separated file with columns for x,y,z coordinates and pressure. I'm currently running a CFD simulation for an internal flow and need to compare my computed results to experimental data.
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