Students will learn the principles of software design and development, and software engineering. Topics to be covered include software design and processes, requirements and specifications, software validation and testing strategies, software evolution, project management, documentation, and quality assurance. Upon completion of the course, students should have a fundamental understanding of the software life cycle and the processes involved in the design, development, implementation and maintenance of complex software systems, and the associated documentation of design, program and training materials, as well as an understanding and development of the interpersonal and communication skills required for a career in computer science.

This is one of the three courses you can choose from in your final semester.

This course prepares the student for data analysis. Topics discussed include probability axioms, counting methods, random variables, probability distributions and densities, expected value, variance, correlation, conditional distributions (mean and variance), special probability models, law of large numbers, central limit theorem, statistical estimation, unbiasedness, consistency, efficiency, hypothesis testing, p-value, confidence intervals, nonparametric methods, ANOVA, and least squares. Applications for data science problems are discussed.

This is one of the three courses you can choose from in your final semester.