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Mathematics

Summer Camp: Language and Logic of Algebra - For Girls

Logistics: $125.00 registration fee includes programming, transitions to algebra materials, and a daily snack.

Introducing the language and logic of algebra in an all-girl environment, you will build your mathematical reasoning and communication skills. Work cooperatively with your peers to become better prepared for high school mathematics courses and be ready for STEM opportunities beyond high school.

Summer Camp: Language and Logic of Algebra - For Girls

Logistics: $125.00 registration fee includes programming, transitions to algebra materials, and a daily snack.

Introducing the language and logic of algebra in an all-girl environment, you will build your mathematical reasoning and communication skills. Work cooperatively with your peers to become better prepared for high school mathematics courses and be ready for STEM opportunities beyond high school.

Summer Camp: Language and Logic of Algebra - For Girls

Logistics: $125.00 registration fee includes programming, transitions to algebra materials, and a daily snack.

Introducing the language and logic of algebra in an all-girl environment, you will build your mathematical reasoning and communication skills. Work cooperatively with your peers to become better prepared for high school mathematics courses and be ready for STEM opportunities beyond high school.

Summer Camp: Language and Logic of Algebra - For Girls

Logistics: $125.00 registration fee includes programming, transitions to algebra materials, and a daily snack.

Introducing the language and logic of algebra in an all-girl environment, you will build your mathematical reasoning and communication skills. Work cooperatively with your peers to become better prepared for high school mathematics courses and be ready for STEM opportunities beyond high school.

Summer Camp: Language and Logic of Algebra - For Girls

Logistics: $125.00 registration fee includes programming, transitions to algebra materials, and a daily snack.

Introducing the language and logic of algebra in an all-girl environment, you will build your mathematical reasoning and communication skills. Work cooperatively with your peers to become better prepared for high school mathematics courses and be ready for STEM opportunities beyond high school.

Hari Shankar Memorial Lecture: Johannes Ledolter

The Hari Shankar Memorial Lecture series presents Johannes Ledolter, who will present"Data Mining and Business Analytics with Big and Small Data." Ledolter is a professor in the Department of Management Sciences at the University of Iowa. He will review useful methods for data mining and business analytics; describe several applications and case studies where these methods prove useful; discuss the importance of collecting data through carefully designed statistical experiments; and conclude with a discussion of target areas of application. 

This lecture is intended for general audiences, on topics of current interest in mathematics and mathematics education. The lecture is free of charge. 

STEM Conference

This one day conference will bring together high school counselors, community college advisers and representatives from each of the STEM departments at UNI to learn what each group is currently doing to advance STEM, discuss the career options available to STEM majors, work toward a common understanding about what students need to learn and do to prepare themselves to pursue majors in STEM disciplines, and discuss proposed curriculum changes in STEM disciplines with impact on transfer students.

Annual Hari Shankar Memorial Lecture

"Big Data = BIG Opportunities" will be presented by Dr. Sastry G. Pantula, director of the division of mathematical sciences at the National Science Foundation. Data is being collected on everyone and everything. Big data is arriving in volume, velocity and variety.  Business, Industry and Government are relying on such information for marketing products and for making policies. Several examples of applications, new methodologies, oppportunities and challenges that Big Data brings will be presented. This will be a non-technical lecture and should be accessible to persons without a statistics background.

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