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Xueming Luo - Fox School of Business

https://www.fox.temple.edu/directory/xueming-luo-tuf35198

Recent Qin, M.S., Luo, X., Schifeling, T., & Wang, Y. (2025). When corporate silence is costly: Negative consumer responses to corporate silence on social issues. Strategic Management Journal, 46 (4), 994-1026. Wiley. doi: 10.1002/smj.3683. Luo, X., Jia, N., Ouyang, E., & Fang, Z. (2024).

Microsoft Word - Introduction to Problem Solving and Programming in ...

https://cis.temple.edu/~tuf80213/courses/temple/cis1051/cis1051.pdf

Course Description CIS 1051 introduces students to computers, computer programming, and problem solving using programs written in the Python language. Topics covered include the general characteristics of computers; techniques of problem solving and algorithm specifications; and the implementation, debugging, and testing of computer programs. The goal is to learn to solve small programming ...

Computer and Information Science (CIS) - Temple University

https://bulletin.temple.edu/graduate/courses/cis/

This course will provide a comprehensive coverage of storage and file systems that underlie bigdata systems with respect to both technological and application related challenges.

Multidisciplinary Studies in Sport, Tourism, Hospitality and Event ...

https://bulletin.temple.edu/undergraduate/tourism-hospitality-management/multidisciplinary-studies-sport-tourism-hospitality-event-management-bs/

These requirements are for students who matriculated in academic year 2025-2026. Students who matriculated prior to fall 2025 should refer to the Archives to view the requirements for their Bulletin year.

Temple genomics software article hits top 100 most cited scientific ...

https://news.temple.edu/news/2025-09-03/temple-genomics-software-article-hits-top-100-most-cited-scientific-works-history

Posted September 3, 2025 biology, Faculty Affairs, faculty highlight, Staff & Faculty, College of Science and Technology

iGEM - Institute for Genomics and Evolutionary Medicine | Temple University

https://igem.temple.edu/products/software/mega

Download MEGA (Win GUI): http://www.megasoftware.net/mega.php The application of most statistical methods developed for comparative sequence analysis requires the use of computers. Biologist-friendly computer programs are essential for the detailed analysis of molecular sequences.