scholarly journals Construction of a Flexible Data Structures Laboratory

2007 ◽  
Vol 10 (1) ◽  
Author(s):  
Jorge Villalobos ◽  
Danilo Pérez ◽  
Juan Castro ◽  
Camilo Jiménez
Keyword(s):  
Data Structure ◽  
Computer Science ◽  
Data Structures ◽  
Efficient Algorithm ◽  
Science Curriculum ◽  
Problem Solution ◽  
Complex Data ◽  
Different Types ◽  
Computer Science Curriculum ◽  
Complex Data Structure

In a computer science curriculum, the data structures course is considered fundamental. In that course, students must generate the ability to desingn the more suitable data structures for a problem solution. They must also write an efficient algorithm in order to solve the problem. Students must understand that there are different types of data structures, each of them with associated algorithms of different complexity. A data structures laboratory is a set of computional tools that helps students in the experimentation with the concepts introduced in the curse. The main objetive of this experimentation is to generate the student's needed abilities for manipulating complex data structure. This paper presents the main characteristics of the laboratory built as a sopport of the course. we illustrate the huge possibilities of the tool with an example.

Asserting parallel computational thinking into an undergraduate computer science curriculum

2011 ◽  
Author(s):  
Edusmildo Orozco ◽  
Rafael Arce-Nazario ◽  
Peter Musial ◽  
Cynthia Lucena-Roman ◽  
Zoraida Santiago
Keyword(s):  
Computer Science ◽  
Science Curriculum ◽  
Computational Thinking ◽  
Computer Science Curriculum

Recommendations on computer science curriculum for undergraduate degree programs

1976 ◽  
Vol 8 (1) ◽  
pp. 95
Author(s):  
Richard Austing ◽  
Bruce Barnes ◽  
Gerald Engel ◽  
Gordon Stokes ◽  
Preston Hammer
Keyword(s):  
Computer Science ◽  
Science Curriculum ◽  
Degree Programs ◽  
Computer Science Curriculum

Integrating Image Computation in Undergraduate Level Data-Structure Education

1998 ◽  
Vol 12 (08) ◽  
pp. 1071-1080 ◽  
Author(s):  
Sudeep Sarkar ◽  
Dmitry Goldgof
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Data Structure ◽  
Data Structures ◽  
Science Curriculum ◽  
Early Stage ◽  
Real Life ◽  
South Florida ◽  
The University ◽  
Structure Education

There is a growing need for expertise both in image analysis and in software engineering. To date, these two areas have been taught separately in an undergraduate computer and information science curriculum. However, we have found that introduction to image analysis can be easily integrated in data-structure courses without detracting from the original goal of teaching data structures. Some of the image processing tasks offer a natural way to introduce basic data structures such as arrays, queues, stacks, trees and hash tables. Not only does this integrated strategy expose the students to image related manipulations at an early stage of the curriculum but it also imparts cohesiveness to the data-structure assignments and brings them closer to real life. In this paper we present a set of programming assignments that integrates undergraduate data-structure education with image processing tasks. These assignments can be incorporated in existing data-structure courses with low time and software overheads. We have used these assignment sets thrice: once in a 10-week duration data-structure course at the University of California, Santa Barbara and the other two times in 15-week duration courses at the University of South Florida, Tampa.

Formal methods in the undergraduate computer science curriculum (abstract)

1995 ◽  
Vol 27 (1) ◽  
pp. 398-399
Author(s):  
Henry M. Walker ◽  
H. Conrad Cunningham ◽  
Ruth Davis ◽  
Douglas Troeger
Keyword(s):  
Computer Science ◽  
Formal Methods ◽  
Science Curriculum ◽  
Computer Science Curriculum
Sign in / Sign up

Export Citation Format

Share Document