DocumentCode
654384
Title
Real-world problem solving in entry-level programming courses: A case study on the Deepwater Horizon oil spill
Author
Mingrui Zhang ; Chuanmin Hu ; Guleng Amu
Author_Institution
Dept. of Comput. Sci., Winona State Univ., Winona, MN, USA
fYear
2013
fDate
23-26 Oct. 2013
Firstpage
343
Lastpage
348
Abstract
In teaching introductory computer programming courses, problem solving with computers is an important topic and algorithm design is essential. We developed a team-based project to teach students solving real-world problem. Students are provided with six satellite images of the Deepwater Horizon oil spill in the Gulf of Mexico and asked to develop computer programs to outline oil contaminated areas. Working on the project in a team, students conducted initial analysis of the problem, identified patterns of oil slicks by visualizing satellite images, and designed algorithms to delineate the oil slicks. The open-ended problem allowed the students to gain experiences in user interface design, use of arrays, decision-making, and repetition with hands-on experience. The project has also been adapted in teaching classes of computer science general education and digital image processing.
Keywords
computer aided instruction; computer science education; data visualisation; decision making; educational courses; teaching; Gulf of Mexico; algorithm design; computer science general education; decision-making; deepwater horizon oil spill; digital image processing; entry-level programming courses; hands-on experience; introductory computer programming course teaching; oil contaminated areas; oil slicks; open-ended problem; real-world problem solving; satellite image visualization; team-based project; user interface design; Algorithm design and analysis; Computers; Education; Image color analysis; Java; Problem-solving; Software; first-year sequence; image processing; oil spill; problem solving; software development;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in Education Conference, 2013 IEEE
Conference_Location
Oklahoma City, OK
ISSN
0190-5848
Type
conf
DOI
10.1109/FIE.2013.6684845
Filename
6684845
Link To Document