Physical Sciences and Mathematics Commons^™

Csilm: Interactive Learning Modules For Computer Science, Srinivasa Santosh Kumar Allu

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

CSILM is an online interactive learning management system designed to help students learn fundamental concepts of computer science. Apart from learning computer science modules using multimedia, this online system also allows students talk to professors using communication mediums like chat and implemented web analytics, enabling teachers to track student behavior and see student’s interest in learning the modules,. Integrating social media in to the existing portal also makes it possible for students to share the modules they have created, helping students work together.

Effective Use Of Interactive Learning Modules In Classroom Study For Computer Science Education, Goldee Jamwal

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

The National Science Foundation (NSF) is spending substantial resources to improve science, technology, engineering, and mathematics (STEM) education in the United States. The ultimate goal of these programs is to produce students with a better knowledge of math and science and who are more likely to pursue careers in STEM fields. Interactive learning modules can be used in the classroom environment for effective learning.

This study examines the learning preferences of Logan High School (located in Logan, Utah) students and evaluates the impacts of using interactive learning modules with classroom lectures compared to other traditional methods of teaching.

Program Development For Computer Simulation And Analysis For Multiplex Chromatography, Barbara Pawliszyn

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

In this report, the programs developed for the analysis of simulated data in multiplex chromatography are written in the ASYST language. The integration of the program modules into a menu-driven, user-friendly prototype program is outlined. The program is developed to allow for flexibility and easy upgrading of the code.

This report examines the calculation procedures potentially useful in multiplex chromatography. Analysis of the mutliplex chromatograms is done by three mathematical methods, Cross-Correlation, Hadamard Transform and Fast Fourier Transform. The effects of experimental length/chromatogram length and decision sequences on correlation noise present in a single chromatogram, are discussed. As the number …