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PRLEA: Frequently Asked Questions - University College

https://universitycollege.temple.edu/academics/park-ranger-law-enforcement-academy/prlea-frequently-asked-questions

How do I apply? Please fill out our online application When is the next class? Fall 2024 (date to be announced) How much does the program cost? PRLEA Application Fee: $50 Student Tuition: $7,750 Uniform/Equipment Fee: $700 What is the Physical Efficiency Battery (or PEB)? The Physical Efficiency Battery (or PEB) is designed to evaluate a candidate’s current level of physical fitness by ...

The Learning Center - Temple University

https://noncredit.temple.edu/upload/PhiladelphiaTULearning_Center_Brochure.pdf

Part of the Temple University Health System Corporate Ofice, The Learning Center is located within the historic Budd Company Complex, which had been home to one of Philadelphia’s largest manufacturers. It was here that the Budd Company built the first all-steel automobile body and the first stainless-steel passenger railroad car.

Business Analytics - Fox School of Business

https://www.fox.temple.edu/undergraduate-programs/accelerated-41/business-analytics

Learn how to strategically leverage data to transform data—and rise above the competition to land an in-demand career. The Fox Master of Science in Business Analytics delivers the data analytics expertise and hands-on experience to integrate analytics into business strategy in order to drive profits and model your ideal career.

CIS587: The Wumpus World - Temple University

https://cis.temple.edu/~ingargio/cis587/readings/wumpus.shtml

A variety of "worlds" are being used as examples for Knowledge Representation, Reasoning, and Planning. Among them the Vacuum World, the Block World, and the Wumpus World. We will examine the Wumpus World and in this context introduce the Situation Calculus, the Frame Problem, and a variety of axioms.

Constraint Satisfaction Problems - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/constraints.html

Introduction and Definitions Search can be made easier in cases where the solution insted of corresponding to an optimal path, is only required to satisfy local consistency conditions. We call such problems Constraint Satisfaction (CS) Problems. For example, in a crossword puzzle it is only required that words that cross each other have the same letter in the location where they cross. It ...

‘Flappy Bird’ to return after a 10-year hiatus: the true story behind ...

https://news.temple.edu/news/2024-09-20/flappy-bird-return-after-10-year-hiatus-true-story-behind-world-s-most-viral-mobile

Temple University film and media arts faculty member Thomas Sharpe discusses the rise, fall and 2025 return of Flappy Bird, the world’s most viral mobile game.

resume - Fox School of Business and Management

https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf

Bio: Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy, and Professor of MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics in the Fox School of Business at Temple University. He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data ...

The importance of representation: What Disney’s Black Little Mermaid ...

https://news.temple.edu/news/2023-05-17/importance-representation-what-disney-s-first-black-live-action-princess-means-film

After 34 years, Disney returns under the sea with its live-action adaptation of The Little Mermaid, premeiring in theaters on May 26. The new version stars Halle Bailey, most known for her role in the Grammy-nominated Chloe x Halle R&B duo, as Ariel in the actress’s first starring feature film role. This casting of a Black woman as the iconic mermaid has made waves.

Distributed Deep Multi-Agent Reinforcement Learning for Cooperative ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf

Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...