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https://courses.knox.edu/cs205/
For full credit, you need to participate on at least 85% of the days with clicker questions. Credit will be reduced proportionally if you miss more than this. Homework. Homework problems will be "written" problems, requiring design, analysis, or tracing of an algorithm rather than programming.
https://www.bizapedia.com/md/algorithm-credit-solutions-llc.html
Algorithm Credit Solutions LLC is a Maryland Domestic LLC filed On December 19, 2019. The company's filing status is listed as Active and its File Number is W20169660. The Registered Agent on file for this company is United States Corporation Agents, Inc. and is located at …
https://www.cs.dartmouth.edu/~deepc/Courses/S20/CS31.html
Syllabus: Big-Oh, Analyzing Algorithms Divide and Conquer, Dynamic Programming : May 3, 4 (Sun, Mon) ~36 hours : Week 6 (5/5, 5/7) Graph Algorithms : Depth First Search Graph Algorithms : Applications of DFS Lec 10 Lec 11: Coding 5 due (5/10) Week 7 (5/12, 5/14) Graph Algorithms : Shortest Paths Graph Algorithms : BFS, Dijkstra, Bellman-Ford
https://personal.utdallas.edu/~kyle.fox/courses/cs4349fa17/
You can pick it up in Kyle's office hours or Wednesday, September 27th. Two things to note for future assignments: First, must prove your algorithm is correct to receive full credit on a homework problem; it is very unlikely that the assigned problems will have simple algorithms that are self-evidently correct.
http://catalog.illinois.edu/courses-of-instruction/cs/
CS 583 Approximation Algorithms credit: 4 Hours. Approximation algorithms for NP-hard problems. Basic and advanced techniques in approximation algorithm design: combinatorial algorithms; mathematical programming methods including linear and semi-definite programming, local search methods, and others.
https://catalog.gatech.edu/coursesaz/cs/
CS 6220. Big Data Systems and Analytics. 3 Credit Hours. This course will cover the concepts, techniques, algorithms, and systems of big data systems and data analytics, with strong emphasis on big data processing systems, fundamental models and optimizations for data analytics and machine learning, which are widely deployed in real world big data analytics and applications.
https://greenlining.org/publications/reports/2021/algorithmic-bias-explained/
Companies and our public institutions use algorithms to decide who gets access to affordable credit, jobs, education, government resources, health care and investment. Addressing algorithmic bias, particularly in critical areas like employment, education, housing and credit, is critical to closing the racial wealth gap.
https://techxplore.com/news/2021-11-intelligent-algorithm-efficiency-humanitarian-logistics.html
A new type of intelligent algorithm improves the efficiency of humanitarian logistics. Fig. 2. An example of a two-echelon distribution system. Credit: DOI: 10.1111/itor.12796. The rise of e-commerce has increased the amount of transport and product delivery services in cities, turning urban logistics into a critical aspect for businesses and ...
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https://tribune.net.ph/index.php/2021/11/07/algorithm-use-makes-student-loans-viable/
This prompted her and her friend Melissa Dee to set up InvestEd Philippines, a financial technology (fintech) solution that provides loans to qualified students through a proprietary credit rating algorithm. Starting in 2016 by providing small loans of P12,500 each to 12 students in one university, InvestEd has served 544 students to date.
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