Computational fluency through common code concepts, data types and data structures, program flow, and algorithmic implementation. Application to engineering projects including mathematical operations, numerical error calculations, and real-world data analysis. Data science concepts exploring data cleansing, descriptive statistics, analysis and visualization of data sets, and modeling and optimization of physical systems through code. Sociotechnical case studies explore the implications of computing and engineering design choices.