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Art Education BSEd | Temple University Bulletin

https://bulletin.temple.edu/undergraduate/tyler/art-education-bsed/

The BSEd in Art Education—a NASAD-accredited program leading to Pennsylvania Certification in Art, K-12—offers Tyler students the rigorous, well-rounded, personal and community-based training needed to prepare for careers in art teaching and becoming a teaching artist, all with an urban focus.

Department of Physics | College of Science and Technology

https://cst.temple.edu/department-physics

Welcome to Temple Physics! Our mission is to foster an internationally-recognized community of scholars dedicated to pushing the boundaries of scientific knowledge while providing exceptional educational opportunities through research, teaching and community outreach. Located in the Science, Education and Research Center, our faculty are at the forefront of advanced research, from the study of ...

Information & AV Technology - Fox School of Business

https://www.fox.temple.edu/about-fox/information-av-technology

Current students, staff and faculty can learn more about the Information & AV Technology department by logging into TUPortal.

HearBP: Hear Your Blood Pressure via In-ear ... - Temple University

https://cis.temple.edu/~yu/research/HearBP-info24.pdf

Abstract—Continuous blood pressure (BP) monitoring using wearable devices has received increasing attention due to its importance in diagnosing diseases. However, existing methods mainly measure BP intermittently, involve some form of user effort, and suffer from insuficient accuracy due to sensor properties. In order to overcome these limitations, we study the BP measurement technology ...

Geoscience PhD | Temple University | Temple University

https://www.temple.edu/academics/degree-programs/geoscience-phd-st-gesc-phd

The Geoscience PhD includes graduate courses in the geosciences, weekly seminars, qualifying exams and research leading to a doctoral dissertation. Other culminating events include passing a written and oral qualifying examination, submitting an original thesis and completing a final oral presentation of that thesis. Courses you may take during your studies include Analytical Methods in ...

Mechanical Engineering MS - Temple University

https://www.temple.edu/academics/degree-programs/mechanical-engineering-ms-en-me-msme

Mechanical Engineering Master of Science Master the mechanics of artificial and natural engineering processes, and learn to guide a product from an idea to the marketplace in the Mechanical Engineering Master of Science in the College of Engineering. Gain an advanced understanding of engineering concepts from mechanics to alternative and renewable energy to materials engineering. You’ll also ...

Prediction of Dental Caries in Pediatric Patients Using Machine ...

https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download

of machine learning (ML) versus a traditional statistical model in predicting dental caries in

Building Classification Models: ID3 and C4.5 - Temple University

https://cis.temple.edu/~ingargio/cis587/readings/id3-c45.html

Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.

http://www.ce.chalmers.se/staff.PDF - Temple University

https://cis.temple.edu/~lakaemper/courses/cis350_2004/etc/moeller_triangle.pdf

1 Introduction Most collision detection algorithms, such as OBBTree [Gottschalk96], sphere hier-archies [Hubbard96] and BV-trees [Klosowski97], try to minimize the number of primitive-primitive intersections that have to be computed. Still, a fast and reliable method for computing the primitive-primitive intersection is desired. Since render-ing hardware is often targeted for triangles, the ...

“Neural-Symbolic Computing: An Effective Methodology for Principled ...

https://cis.temple.edu/tagit/presentations/Neural-Symbolic%20Computing%20An%20Effective%20Methodology%20for%20Principled%20Integration%20of%20Machine%20Learning%20and%20Reasoning.pdf

Several works have identified the need for integrating symbolic knowledge representation and reasoning with deep-learning systems