MICS Service Learning
Service learning is a year-long course in which students provide services for non-profit organizations while receiving real-world experience. The skills gained from Mathematics, Computer Science and Computer Information Systems education are applied to fulfill community needs. The class is run as a business. There is a company budget to support two to three projects. Students are assigned corporate tasks as well as project tasks. Students meet collectively for one to two hours a week. This class time is used for technical presentations, team meetings, and giving and listening to progress reports. Students also spend three to five hours a week apart from class time meeting with clients, researching and planning projects, implementing project plans, writing reflections, and completing peer evaluations.
2015-2016 Service Learning Projects
Sensory Signal Recovery Project
Ryan Bieber, Liam Oliver-Mallory and Lindsay WatsonThe signal recover problem is one in which a number of measurements at various times can be used to calculate a transformation that can be used to predict future changes given other conditions. This paper details the techniques used to create such a transformation, ways to calculate with limited data, and how to improve performance of the algorithm.
Center for Pastoral Leadership Database
Brandon Colchin and Randy HiroshigeThe purpose of this service learning project is to provide an online database that contains the pastoral contact list for the Center for Pastoral Leadership (CPL). This database was requested by the CPL in the hopes of creating a central database available for use by all of the CPL staff. This tool will help the CPL as they organize communication and maintain relationships with pastoral contacts on both a local and broader scale. The database of contacts is hosted as a MySQL instance through Amazon Web Services. Database access occurs through a website hosted as an EC2 application instance through Amazon Web Services. The website uses the Drupal platform, and the database access functionality was coded in PHP as a Drupal module.
Pre-Health Student Database and Data Importing
Sarah Elwin, Austin Krieghoff and Ethan SochThis paper reports on the processes relating to the implementation of a Pre-Health Student Database for the head of the Chemistry Department, Dr. Sara Choung. Topics include the design consideration for the aforementioned database, the development of a user-interface to facilitate faculty interactions with the database, and the design and implementation of a computer program in order to aid the importation of pre-existing data.
The Genome Comparison Project
Tim Little, Tristan Oliver-Mallory, Katelyn Ortiz and Hannah QuinnIn our project we compared bacteria genomes and created visual representations of these comparisons. The bacteria genomes were first separated into each individual gene and these genes were compared against one another using an online comparison database called the Basic Local Alignment Search Tool. Bacteria genomes that were being compared were represented using tracks with individual arrows used to represent each individual gene. These bacteria genome representations were drawn parallel to each other. The results from comparing the gene in the two Genomes were represented by drawing red cross-links connecting similar genes represented by their arrow on each track.
Will DeCino, James Morar and Will SchumacherThe three students worked in collaboration with Dr. Maloney, Dr. Botts, and Dr. Jimenez, in order to assist Dr. Maloney with her research of Sarcophyton Glaucum. The first sections of the paper describe Dr. Maloney's work with the soft corals. This includes the importance of researching the coral and the current process used in the collection and classification of the corals. The middle sections of the paper mention the mathematical methods used to analyze the data collected from Sarcophyton Glaucum. This includes principal component analysis, hierarchical clustering, and linear discriminant analysis. The last sections of the paper present the output of the mathematical analyses. This includes a description of what the data is saying and a conclusion of the final results.
2014 - 2015 Service Learning Projects
Locating Antibiotic Resistant Gene in Bacterial DNA
Lillian Duffey, Tyler Maskiewicz, Claire Mathews and Clara Welcome
A client of Dr. Botts is a company wishing to create a more efficient waste treatment process by making use of the naturally developing biofilm to break down the waste thus saving water in the process. Before this biofilm process becomes the next sewage technique, more information on the bacterial DNA is needed. Our project was to begin the process in determining the location (plasmid or chromosome) of antibiotic resistant genes in a sample of biofilm bacteria. Our direct purpose was to begin the process of creating a database of DNA sequences that seem to be found only in plasmids as well as beginning to streamline that reassembly process.
Building a Student Survey Database Using Microsoft Access
Michael Bench, Craig Hollensbe and Henry Teegarden
Over the last decade, PLNU has followed cohorts of students through their undergraduate studies by administering to them a series of standardized surveys. The results of these surveys were compiled into several large Excel files. Our service learning group was responsible for creating a database that effectively organized this information so that it could be used for data mining purposes by PLNU staff. By effectively organizing survey data, our database makes it significantly easier to answer important questions regarding student behavior. This makes it an incredibly powerful statistical tool. For example, by pulling data regarding grades and chapel attendance, one can begin to determine whether or not academic success and spirituality are correlated. For this project we focused on creating a database that organized data from two of the surveys taken in the last 10 years: NSSI 2005 and NSSE 2010.
2013 - 2014 Service Learning Projects
Electrostatics Android Application
Brian Bufford, Troy Carmichael, Brendan Heldman and Blake Herrington
Brooke Apffel, Joanna Borgona, Tim Dixon, Aaron McKinstry and Ally Takeda
Vicente Chiquete, Jacob Rivera, Ericka Rule and Keith Thompson
2012 - 2013 Service Learning Projects
Dustin Ansley, Wileen Chiu, Joshua Lam and Amanda Olson
Computer Science is a potential college major that few High School students are aware of. Yet, it is a major that leads to lucrative and satisfying jobs. The students involved in this Service Learning project contacted counselors, principals, and mathematics and science teachers in 26 local high schools asking which of 6 different resources would be most helpful for introducing High School staff and students to the field of Computer Science. The top requests were for posters, brochures, and a short video. After studying papers on research regarding what influences the choice of a major, what characteristics make a good computer scientist, and the job prospects for Computer Science majors, the students produced and disseminated the posters, brochures, and video.
2011 - 2012 Service Learning Projects
Videos to Support Learning in Elementary Statistics
Aimee Bird, Katherine Graham, Adam Kenyon, Colin Lowry and Kevin Schick
For MICS Tutorial Video Project, we endeavored to create tutorial videos for a statistics class. The ultimate goal of these videos is to convey statistical concepts in a clear and concise manner. To complement this basic understanding of a particular statistical concept, these videos are also intended to provide the student with a degree of intuition regarding each topic. Thus, the student will understand why it would be important to utilize the statistical concept given a particular situation. Along with these videos, a functional, user-friendly website was also constructed during the course of this project. The website provides various sample questions and answers with each statistical concept. Having these resources available will permit the students to practice and develop their ability to solve problems. In the end, it is our aspiration that this project of creating tutorial videos will provide the foundation for constructing statistical competency.
Nursing Project 2011-2012: Determining the value of TEAS
Alex Buttweiler, Evan Grove and Walter Wagner
The nursing project is attempting to solve fundamental problems related to the low math and reading scores for nursing students observed over the past few years. The goal of this project is to predict retention and pass/fail for the NCLEX, which is the national exam to become a registered nurse, by analyzing grades from Biology, Chemistry, major Nursing courses, TEAS reading/math scores, and their overall GPA. Binary logistic regression is the primary statistical method used in order to give predictions for the data. The outcome was that the TEAS exam had very little impact on predicting which students will pass or fail the NCLEX. The only significant factor in determining which students will be successful was GPA.
Political Science Assessment Analysis Project 2012
Alex Buttweiler, Evan Grove and Walter Wagner
The main objective of this paper is to present the trends that the service learning team discovered when analyzing the collection of entrance and exit surveys taken by students in the Political Science and International Relations majors. Frequency counts were used to analyze the data; the survey answers were categorized and then analyzed based on the percentages of students responses. This paper will provide the Department of History and Political Science at PLNU with the conclusions drawn from the data given in this survey-format. The outcome was that overall students felt that they were considerably better off than they were when they entered the major. The only negative outcome was that students did not feel like they were as well prepared as students from other schools overall.
Analysis of Factors Relating to Retention within Point Loma Nazarene University’s Biology Department
Cosette Tiguila and Ethan Wade
In an average year the Biology Department at Point Loma Nazarene University added 50 to 60 new students which could be sustained with the Department’s current resources. Entering the 2011-2012 academic school year there were nearly 100 new students which exceeds the long term sustainability of the Department’s resources; therefore, an analysis of factors that contribute to student retention was performed in order to determine what traits, if any, predict a student’s success in Biology Department. The results of this study will assist in determining how best to address the rise in the number of students. The data used for the study was from students enrolled in the following majors from 2005-2011: Biology – BA, Biology – Chemistry, Biology – BS, Environmental Science, Biology – Cell & Molecular BA, Biology – Organismal BA, Biology – Cell & Molecular BS, and Biology – Organismal BS. Due to a lack of time, no definitive analysis was accomplished; however, there appears to be a correlation between a student’s weighted high school GPA; English and Math ACT percentile; and RAW Math, Writing and Verbal SAT scores and whether the student switched or graduated from the Biology Department. Future studies are needed to determine the accuracy of this finding and also to address other possible predictive factors such as college GPA, advanced placement tests taken prior to being admitted, student career goals and extracurricular involvement.
2010 - 2011 Service Learning Projects
Chapel Data Analysis
Tabitha Henken and Katie Kunz
Advisor: Dr. Greg Crow
For the Chapel Data Analysis project, data has been gathered from the school year 2006-07 of chapel attendance. Analysis of 2007-08 was performed and many correlations were found. This year, we expanded upon the previous work. This particular project will help the chapel planning committee to better serve the students. Due to paired sample t-tests between Fall 2007 and Spring 2008 we were able to accept the Null Hypothesis that there was no difference between the two semesters which is why we only show the Fall 2007data. Fall 2006 is shown as a comparison.
Bridging the Gap Between Hardware and Software
Mark Cook, Tony Dungca and Isaac Hembree
Advisor: Dr. Jeff McKinstry
This project is in response to the Honors Project created by Erik Ahslwede. His honors project was an attempt to bridge the gap between computer science and engineering by utilizing embedded software programming. He developed a series of labs using the Lego Mindstorms platform due to its ease of use, functionality, and wide range of applications. Our purpose was to work through his existing labs to both test and modify their effectiveness.
Analysis of Geographic Data in ArcGIS
Daniel Fitzpatrick, Tristan Holbrook and Robert Jenkins
Advisor: Dr. Ryan Botts
This project is an example of interdisciplinary research between the fields of biology, mathematics, and computer science. The goal of the project was three-fold. The first goal was to help Dr. Cummings determine distances between sample sites and the quantity of the qnrA gene present at the sample sites using the ArcGIS software. The second goal was to determine a number of sample sites necessary to generate a relevant density map using biogeographical spatial density sampling. The third goal was to determine what kind of learning must be done to conduct interdisciplinary research.
Service Learning: Freshmen Retention
John Hebron, Stephen Kay and Anthony Pata
Advisor: Dr. Greg Crow
The attrition rate of freshman students is becoming a higher priority within the universities because there is much invested in each student that the school accepts. By learning the causes behind a student's departure, the school will be able to more effectively transition the students into college life and more accurately select applicants poised to succeed. The purpose of this project is to discover a selection of variables that will be able to determine whether a freshman student is at risk of returning for their sophomore year.
General Education Scheduling Visualization
Rachel Hudlow and Willis Somervell
Advisor: Dr. Lori Carter
Creating a schedule for incoming freshmen is a complex task. There are many factors such as major, athletics, and AP credits that make it challenging for those planning the schedules to effectively fill all the requirements. Part of the difficulty lies in the fact that many General Ed courses overlap in the times that they are offered. Creating an easy to understand visual representation of the overlaps should spark conversation and generate awareness of conflicts that arise in scheduling. It is the goal of this project to create such a visualization.
2009 - 2010 Service Learning Projects
Database for ITS
Matthew Goethel and Camille Kindschi
Designed and implemented a database to keep track of the software in each of the campus labs. The database had the capability of generating lab-based reports as well as reports for each academic department regarding the programs currently installed on their behalf.
Database for the Nursing Department
Pete Certain and Mark Lemen
Designed and implemented a database to keep track of past and present nursing students, including their entrance and graduation dates and their placement. This database is to be used as a tool to help the department gain a better understanding of nursing student attrition.
SAT Data Analysis
Cris Fairweather, Drew Fulwider and Leslee Howe
Performed data analysis to determine possible relationships between student SAT math scores and their performance on the math placement test. The goal of this research was to attempt to decrease the number of students needing to take the math placement test.
Laboratory Assignment Construction
Drew Fulwider, Matthew Goethel, Hannah King and Mark Lemen
Created hands-on labs to be used as a part of the curriculum for CSC 132 (Introduction to Computer Science). These labs include experience with algorithm analysis, computer hardware, networking, databases, and circuit construction.
MICS Department Survey
Pete Certain and Camille Kindschi
Constructed, administered and analyzed a student and faculty survey with the goal of determining interest in department-related service projects both locally and abroad.
Analysis of General Education Course Distribution
Chris Fairweather and Leslee Howe
Worked with Dr. Kim Bogan to analyze and visually represent the distribution of general education classes available to incoming freshmen. The goal of this project was to create ways to help others understand why freshmen were placed in courses in some departments while fewer students were placed in the classes of other departments.
2008 - 2009 Service Learning Projects
University Fund Project
Stephen Evilsizor, Sarah Lauff, KayDee Sullivan and Karin Wilcox
For the University Fund project, students used the data collected in the past seven years by University Advancement to detect and illustrate trends in giving to the Point Loma University Fund. In light of the observed trends and other insights, the students tested the correlation between a series of factors and the value or quantity of gifts given by donors. The information gained from this study will serve to help University Advancement to know how to and whom to advertise the University Fund.
Nursing Data Project
Katie Jundt, Kristen LoPresti, Marilee Ricketts and James Tebelman
This group worked with the Point Loma Nazarene University Nursing Department. Five years of collected data were analyzed to see if there were any predictors for success in the program. Variables such as prerequisite grades, ATI examination scores, and success on the NCLEX exam were looked at to determine what, if anything, determines high achievement in the program.
Faith Community School Project
Stephen Evilsizor, Katie Jundt, Sarah Lauff, Kristen LoPresti, Marilee Ricketts, KayDee Sullivan, James Tebelman and Karin Wilcox
Faith Community School contacted the MICS department at PLNU because they were given the equipment for a computer lab, including software, but did not know how to utilize it to benefit their students. PLNU students met with the teachers to determine how they would like to see their students use the hardware and software, and developed age-appropriate teaching modules for the teachers to use with their students.
2007 - 2008 Service Learning Projects
Point Loma High School - CS
Nathan Hirst, Garrett Kiesz and Megan Low
In conjunction with the PLHS Computer Science teacher and PLNU Information Technology Services, these students refurbished a server and 15-20 old computers. They then used this equipment to set up a network for PLHS Computer Science Students. In addition they helped in the classroom, and with extra tutoring for students preparing to take the AP exam in Computer Science.
Point Loma High School - Math
Katelyn Brown, Beth Dyer, Yvette Givens, Anna Hail and Erin Trine
The PLHS math group served the students and math teachers at PLHS both in and out of the classroom. Inside of the classroom they served as teacher's assistants, assisting students with in class assignments. Outside of the classroom they participated in tutoring students who were preparing to take the California High School Exit Exam. The high school students participating in these tutoring sessions were at risk for deferred graduation because they had not passed the exam in several previous tries.
Ashley Hilman, Catherine Marcarelli, Dustin Robison and Jessica Wommack
CARS is the name of the database that contains information that is needed by virtually every academic and administrative department on campus, along with every student. However, this database had been severely underutilized. These students conducted interviews with individuals ranging from assistant staff people, to high level executives to help the PLNU Information Technology Services better understand the needs and frustrations of current and prospective users. This information will be used by ITS to improve the functionality of the database and to educate users on the available services.
Pastoral Education Project
Jonathan Bowman, Jessica Mikovits, Alana Nichol, Shannon Sandison
The PLNU Center for Pastoral Leadership (CPL) provides both graduate programs and continuing education for pastors in the southwestern United States. This team of students combined some pastoral survey data with congregational demographic information. They analyzed the data to help the CPL identify the educational needs of this group of pastors.