Loyola University Chicago


Course Descriptions


Engineering Courses Before Specialization

The Engineering  curriculum can be found here.

Click on the course title for more information.

The first of four engineering design courses in the Engineering curriculum. Major topics in this course include engineering estimation, three dimensional computer-aided design, 2k factorial design, teamwork, engineering ethics, requirement specifications, and design iteration.

PREREQUISITES: Restricted to Engineering Majors

This seminar offers a shared learning experience, with assignment of a service project and exposure to Industrial Advisory Board members and Loyola administrators and faculty. In addition to providing intellectual enhancement to the program, these seminars give us a time and place to regularly interact.

PREREQUISITES: Restricted to Engineering Majors

Introduction to data acquisition and analysis techniques. Major topics in this course include common sensor types, the Nyquist Sampling Theorem, analog-to-digital conversion, microcontroller system architectures, microcontroller programming, linear regression, and Bland-Altman analysis.

PREREQUISITES: ENGR 101, COMP 170, PHYS 112K, concurrent enrollment in CHEM 171

Introduction to continuous-time linear time-invariant systems. Major topics in this course include convolution, Fourier series, Fourier Transform, unit impulse and unit step functions, and first-order and second-order systems.

PREREQUISITES: ENGR 201, concurrent enrollment in MATH 266

Introduction to control system theory. Students are exposed to classical methods (Laplace transforms and transfer functions, root locus design, Routh-Hurwitz stability analysis, Bode and Nyquist plots) and the state variable method (controllability and observability).


Introduction to discrete signal processing and linear system identification. Major topics include z-transforms, the bilinear transform, the autoregressive moving average with exogenous input (ARMAX) model, frequency selective filters, Least-Squares Method, and Maximum Likelihood Method.


Introduction to electrical, magnetic, diode, and transistor circuits. Major topics include nodal and loop analysis; Thevenin’s and Norton’s Theorems; alternating current steady-state analysis; magnetically coupled networks; and large and small signal analysis of diode and transistor circuits. The classroom has been flipped, which enables students to learn material through video instruction and practice circuit analysis during designated-classroom time.

PREREQUISITES: ENG 201, PHYS 112K, concurrent enrollment in ENGR 311 and MATH 266

Introduction to basic chemical and thermal processes, expressed through state-space representation. Major topics include mass balance, energy balance, the First and Second Laws of Thermodynamics, open and closed systems, entropy balance, and exergy balance.

PREREQUISITES: ENGR 321, concurrent enrollment in ENGR 324L

Introduction to elements of digital electronics and digital computers. Major topics include Boolean algebra, combinatorial logic, sequential logic, arithmetic circuits, computer architecture, micro-architecture, assembly-language programming, and memory systems. Mastering these topics enables students to complete the course project of building a microprocessor.

PREREQUISITES: ENGR 321, concurrent enrollment in ENGR 324L

Introduction to the fundamentals of modeling continuous media. Major topics include stress, strain, and constitutive relations; elements of tensor analysis; basic applications of solid and fluid mechanics; and application of conservation laws to control volumes.

PREREQUISITES: ENGR 311, concurrent enrollment in ENGR 324L

Students experiment with concepts learned in concurrently taken core engineering courses ENGR 322, ENGR 323, and ENGR 324.

PREREQUISITES: ENGR 311; concurrent enrollment in ENGR 322, ENGR 323, ENGR 324.

Introduction to the structure, properties, and processing of materials commonly used in engineering applications. Major topics include material structure (bonding, crystalline and non-crystalline structures, imperfections); properties of metals, metal alloys, ceramics, and polymers; phase transformation; and material failures.