Approved Courses

Discrete structures in computer sciences and engineering with emphasis on problem-solving skills and algorithms. Topics include: set theory, logic and proof techniques, graph theory, computability, and discrete probability applied to computing problems.

Advanced programming techniques applied to the solution of engineering problems, extensive use of subprograms, logical and specifications statements. Principles of multiprogramming, multiprocessing, and real-time systems.

Data structures in programming languages; representation of information as data lists in linear, orthogonal, string, and array form; tree structures; techniques for storage allocation, distribution collection, and sorting of data.

Principles of mechanics, waves, and thermodynamics for engineering and physical sciences.

Principles of electricity, magnetism, optics, and modern physics for engineering and the physical sciences.

Analysis of direct current and alternating current linear electric circuits, laws and concepts that characterize their behavior.

Principles of graphic language: fundamentals of delineation, analysis and solution of space problems, symbols and standards as applied in engineering. Freehand drawing as a tool for visualization. Principles of orthographic projection, sections, auxiliary views and conventional practices. Introduction to descriptive geometry. Hand and computer-aided drawing.

Development of algorithms and their implementation in a structured high level language. Programming techniques applied to the solution of engineering and mathematical problems.

Criteria and techniques of economic analysis as related to decision making in engineering projects where time and money are the primary trade-offs. Discounted cash flows; comparison of alternatives using equivalent annual cost, present worth, or rate of return; break-even analysis, depreciation, tax effects, replacement, sensitivity, and risk analysis.

Elementary differential and integral calculus of one real variable, with applications.

Integration techniques, infinite series, vectors, polar coordinates, vector functions, and quadric surfaces, applications.

Differential and integral calculus of several variables, and an introduction to differential equations with applications.

Integrated approach to linear algebra and ordinary differential equations with applications in engineering. Use of software to solve differential equations and linear algebra problems.

Study of the fundamentals of chemistry with emphasis on the following topics: matter and its physical and chemical properties, measures, atoms, molecules and ions, stoichiometry, types of reaction, gases, thermochemistry, periodic table, quantum theory and atomic structure, chemical bonds and molecular geometry.

Study of the fundamentals of chemistry with emphasis on the following topics: molecule polarity, intermolecular forces and changes in state of matter, solutions, colligative properties, kinetics and reaction mechanism, chemical equilibrium, acids, bases and salts, buffer systems, titration curves, thermodynamics and electrochemistry.