Upon successful completion of this course, students are expected to be able to: analyze a problem and design an efficient algorithm; translate a developed algorithm into a program using an appropriate programming language; describe and evaluate the programming environment (IDE/Editor) and the use of different data types in a program; elicit user requirements and to present the proposed solutions to a range of audiences; explain the psychology and economics of software testing; define error checklist for inspections; explain and conduct white-box and black-box testing techniques; describe module and higher-order testing principles; conduct different types of debugging techniques; plan the testing of a software component or system; explain and analyze the latest software-testing techniques.
This course introduces the next level of programming courses, which assumes that students are already capable of solving computer programming problems. Topics covered in this course includes problem analysis, algorithm development, simple program design techniques, study of a contemporary programming language, use of a computer environment and appropriate system software. This course is also designed to provide students with an introduction to major software testing topics, including (but not restricted to) higher-order testing, white- and black-box testing, walkthroughs, and code inspections.
Pre-requisite(s): Programming Mastery
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