Results 181 to 190 of about 589,234 (216)

Teaching computer algorithms and data structures to students in engineering and the physical sciences

Proceedings of IEEE Frontiers in Education Conference - FIE '93, 2002
The author describes a new three credit-hour course at the Colorado School of Mines (CSM), MACS 410: Scientific Programming in C. This one-semester course is targeted for students in engineering or the physical sciences who have finished the CSM core courses in computing and not expect to either major or minor in CS.
Robin R. Murphy
openaire   +2 more sources

Recent Studies About Teaching Algorithms (CS1) and Data Structures (CS2) for Computer Science Students

2019 IEEE Frontiers in Education Conference (FIE), 2019
This Research Full Paper presents a review of recent studies on SIGCSE about teaching programming (CS1) and data structures (CS2) for university students in computer science courses. Our main contribution is the identification of three categories and their respective subcategories for teaching programming: (i) characterization of contents, (ii ...
Davi Bernardo Silva, Rafael de Lima Aguiar, Diogo Steinke Dvconlo, Carlos N. Silla   +3 more
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Computer Science Education: Synthesis of the Curricula of Data Structures and Algorithms; Analysis of Algorithmic Bias and its Interaction with Society

2022
The topic of the technical work is the combination of two classes in the UVA curriculum that would enhance the learning experience for prospective students. The two classes are CS 2110 and CS 4102, essentially putting the general topics of data structures and algorithms together and creating a curriculum that synthesizes the information presented in ...
openaire   +1 more source

Proceedings of the Course on Algorithms and Data Structures for Geometric Computations Held at CISM (Centre International des Sciences Mecaniques) in Udine (Italy) on 8-12 July 1985,

1985
Abstract : The Outline of the course was as follows: 1) Computational geometry; 2) Geometrical problems related to robotics; 3) Heuristics for finding approximations for Steiner minimum trees; 4) The grid file as a data structure suited for geometrical computation; 5) Different schemes for representing three-dimensional objects; 6) Visibility problems ...
J. Nievergelt, A. Meier, K. Hinrichs, G. Heiser   +3 more
openaire   +1 more source

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Kimberly D Miller, Nikita Sandeep Wagle   +2 more
exaly  

Algorithms and data structures: the science of computing

Choice Reviews Online, 2004
openaire   +1 more source

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly  

Computer Science Data Structure System with Machine Learning Algorithms

Xinting Yu
openalex   +1 more source