This is the first course in a two-course sequence in computational problem solving of engineering and scientific problems. The problems solved will stress the application of sequence, selection, repetitive, invocation operations, and arrays. The development of proper testing procedures to ensure computational accuracy will be stressed. Students, upon successful completion of this course, will be able to analyze introductory engineering and scientific problems, design, code, test, and document procedural software solutions.

This course will introduce how intelligent robots use sensors to solve environmental perception problems. It takes visual sensors as an example to explain sensor data access and storage, to model and to calibrate sensors, to extract image information by scientific models, and to use deep neural networks to process image data. Laboratory exercises are designed to illustrate concepts and acquaint programming and problem solving skills. Projects are designed to integrate the skills and to develop the abilities of solving real-world intelligent robot perception problems.