Introductory electronics project course. Learn basic circuit theory, electronics prototyping techniques and how to use test equipment towards the goal of making a complete, functional electronic prototype. This project course is restricted to EE and CompEng majors. (Students must be enrolled in or have passed ENGIN 112 - Introduction to Electrical and Computer Engineering.)

Data structures course using the Python programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems.

Data structures course using the Python programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems.

Data structures course using the Python programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems.

Data structures course using the Python programming language. Basic mathematical, logical, and programming concepts relevant to description and manipulation of information structures such as arrays, lists, trees, graphs, and files; the underlying principles of algorithm design and analysis applied to sorting and searching problems.

Mathematical models for analog circuit elements such as resistors, capacitors, opamps and MOSFETs as switches. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations Computer and laboratory projects. NOTE: Grades of C or better in MATH 132 and PHYSICS 152 are strongly recommended.

Mathematical models for analog circuit elements such as resistors, capacitors, opamps and MOSFETs as switches. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations Computer and laboratory projects. NOTE: Grades of C or better in MATH 132 and PHYSICS 152 are strongly recommended.

Mathematical models for analog circuit elements such as resistors, capacitors, opamps and MOSFETs as switches. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations Computer and laboratory projects. NOTE: Grades of C or better in MATH 132 and PHYSICS 152 are strongly recommended.

Mathematical models for analog circuit elements such as resistors, capacitors, opamps and MOSFETs as switches. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations Computer and laboratory projects. NOTE: Grades of C or better in MATH 132 and PHYSICS 152 are strongly recommended.

Mathematical models for analog circuit elements such as resistors, capacitors, opamps and MOSFETs as switches. Basic circuit laws and network theorems applied to dc, transient, and steady-state response of first- and second-order circuits. Modeling circuit responses using differential equations Computer and laboratory projects. NOTE: Grades of C or better in MATH 132 and PHYSICS 152 are strongly recommended.