National Science Foundation - IUSE 

The IUSE program offers research & career explorations for STEM majors. Selected participants will take part in a two week math-focused program over the summer and earn a $750 stipend!

Program date: August 6-16, 2018

Eligibility

IUSE is open to:

  • Program is for freshmen, sophomore, and first year transfers. Priority will be given to students who have only completed precalculus or lower.

Projects

Application of Basic Algebra and Linear Functions in a Tracking Problem - Saeed Jafarzadeh

Abstract: In this project, students will use the basic knowledge of algebra and linear functions to build a tracking system. When an object moves in a two or three dimensional space, we may need the information with regards to its location at every given time. This problem is called tracking. In this project, we focus on the moves of an object in a two dimensional space. For instance, the movement of a pen on paper can be thought as a tracking problem. If the tracking is successfully performed, we can guess the writing without seeing it and just by following the pen.

To achieve the two dimensional tracking, students will combine an optical motion sensor and an angle sensor. The sensors are pre-programmed and no additional knowledge of electronics will be needed. High school level algebra and basic knowledge of linear functions will be sufficient to build and understand the tracking system. The system can be used in a variety of engineering applications and on any object moving in a two dimensional space. The program is designed to offer a fun environment to the participating students, while affording great educational experience.

Math is in Your Genes - Karlo Lopez

Abstract: Technological advances in recent years have made it possible and relatively simple to handle and change DNA sequences in the laboratory.  However, to properly carry out the experiments needed to manipulate DNA, a scientist must first know how much of each reagent to add to a reaction vessel.  One drop too many or one drop too few can, in many cases, mean that your reaction does not properly work.  During the two weeks of this program, students in my group will learn how to handle DNA and make specific mutations to a gene of interest. Additionally, students in my group will also use their gene to overexpress the corresponding protein and test the effects of their mutation.  Students will learn how to search the NCBI online database to obtain DNA sequences of a gene of interest, they will learn how to select a mutation site for the gene they identify, and they will make at least one mutation to that gene in the laboratory.  Students will learn basic biological and chemical laboratory techniques while reinforcing algebra, with a specific focus on ratios, solving single and double variable equations, logarithms, and graphing. 

Math is Everywhere in System and Application Software Design Huaqing Wang

Abstract: I always tell my classes that good programmers have to think like mathematicians and practice (writing program) like professional basketball players. In this project, we will see how understanding the recursive definition of arithmetic expressions will help you write shorter and more elegant programs. We will also investigate how the mathematical relation concepts and the algebra concepts are used to design the relational database model and the simple and powerful database query language called SQL. Due to its power, simplicity and solid mathematics background, the relational database model defeats the hierarchical and network database model.

In addition to thinking mathematically, good studying methods will help you improve grades. The program will provide studying skills to help you achieve good grades in Computer Science.

Statistical Analysis of Breast Cancer Research Bilin Zeng

Abstract: Statistical studies play a very important role in cancer research. The management of large-scale database and implementation of appropriate statistical methods are two of the most common issues for beginning researchers. Breast cancer is the most commonly diagnosed cancer in women and the second leading cause of cancer death among white, black, Asian/Pacific Islander, and American Indian/Alaska Native women. Based on a list of public databases on breast cancer, this program provides a brief overview about some classical statistical considerations and topics in a sequence of cancer research process including prevention (risk factors), early detection, genetic testing (genetic mutations), diagnostic (malignant or benign) and disease control (cancer recurrence after treatment). This project aims to develop a fundamental understanding of statistical thinking for students in epidemiology research and learn some basic data mining techniques with the most popular statistical programming software R and/or SAS. As part of the study, students will participate in literature reviews, data collection, large-scale data manipulation, data visualization, data modeling and analysis.  The ideal student researchers for this project would have interests in statistics, biostatistics or data science.



How to apply

The completed application consists of:

 

Deadline for applications is
April 25, 2018

Submit completed applications to:

NSME Student Center (SCI I, 116)
Attention: IUSE
9001 Stockdale Highway
Bakersfield, CA 93311-1022

 

Contact
661-654-2776
stem@csub.edu