This course introduces balanced search trees, graphs, graph traversal algorithms, hash tables and sets, complexity analysis about classes of problems that require each data type, inheritance and polymorphism; anonymous inner classes, lambda functions, performance analysis to discover and optimize critical code blocks.

(University of Wisconsin-Madison, Fall 2022)

This course introduces matrix algebra, linear systems of equations, vector spaces, sub-spaces, linear dependence, rank of matrices, determinants, linear transformations, eigenvalues and eigenvectors, diagonalization, inner products and orthogonal vectors, symmetric matrices.

(University of Wisconsin-Madison, Fall 2022)

This course introduces logic components built with transistors, rudimentary Boolean algebra, basic combinational logic design, basic synchronous sequential logic design, basic computer organization and design, introductory machine- and assembly-language programming.

(University of Wisconsin-Madison, Fall 2022)

This course introduces data representation using hashing, search trees, and linked data structures; algorithms for sorting; using trees for language processing; component interface design; best practices in Java.

(The Ohio State University, Spring 2022)

This course introduces theory and practice of combinational and clocked sequential networks.

(The Ohio State University, Spring 2022)

Intellectual foundations of software engineering; design-by-contract principles; mathematical modeling of software functionality; component-based software from client perspective; layered data representation.

(The Ohio State University, Fall 2021)

Introduction to probability, Bayes theorem; discrete and continuous random variables, expected value, probability distributions; point and interval estimation; hypotheses tests for means and proportions; least squares regression.

(The Ohio State University, Fall 2021)

Introduction to 3D visualization and CAD; engineering design-build process; teamwork; written, oral and visual communications; project management.

(The Ohio State University, Fall 2021)

Introduction to computer programming and to problem solving techniques using computer programs with applications in engineering and the physical sciences; algorithm development; programming lab experience.

(The Ohio State University, Spring 2021)

Techniques of integration, Taylor series, differential calculus of several variables.

(The Ohio State University, Spring 2021)

Engineering problem solving utilizing computational tools such as Excel and Matlab; hands-on experimentation; modeling; ethics; teamwork; written, oral and visual communications.

(The Ohio State University, Spring 2021)