128 courses with the subject ENGR, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
ENGR 102Introduction to Engineering1
This course will introduce students to the engineering profession and the study skills necessary to succeed in the rigorous course of study to achieve an engineering degree. Students will be taught how to think critically and reason analytically in order to skillfully navigate the course of instruction they have chosen to pursue and to be equipped for success in that profession. This is a required course for all engineering majors.
Prerequisite: MATH 128 (may be taken concurrently) or MATH 130 (may be taken concurrently) or MATH 131 (may be taken concurrently) or MATH 132 (may be taken concurrently)
Prerequisite: ENGT 130 (may be taken concurrently) or MATH 126 (may be taken concurrently) or MATH 128 (may be taken concurrently) or MATH 131 (may be taken concurrently) or MATH 132 (may be taken concurrently)
Prerequisite: ENGR 105 and (MATH 128 (may be taken concurrently) or MATH 130 (may be taken concurrently) or MATH 131 (may be taken concurrently) or MATH 201 (may be taken concurrently) or MATH 217 (may be taken concurrently))
ENGR 200 helps students in a competition team develop a project management skill and learn system engineering design approach reflecting CreationeeringTM to prepare for an engineering design competition. Students will contribute to design and fabrication tasks, writing interim (progressive reports) and final reports.
This course aims to educate the student in the Creationeering paradigm. The three primary elements of Creationeering are: 1. Creator-inspired design, 2. Creator-revealed engineering, 3. Creator-led entrepreneurship. If you want to learn more about our Creator & discover how He inspires us to design and create new products and businesses, this class is for you.
Linux Programming High performance computing exposes students to high performance computing (HPC) environments, which include an overview of typical HPC software/hardware, the Linux operating system, and an introduction to scripting/programming and management software. Students will study typical HPC environments and explore uses of these complex systems in business and research. Students will also have opportunities to interact with, design, and develop activities on an HPC system. • Building the box - Assembling the hardware & network • OS installation • Mini Introduction to the Linux OS (CentOS) • Introduction to Fortran, C, Python • Parallel computing • Programming and simulations
Professional internship providing opportunity for controlled learning experience specific to engineering disciplines. Enrollment specific to international students (F-1 Status) requiring Curricular Practical Training (CPT) endorsement (I-20 work authorization). Application components processed concurrently through School of Engineering and International Student Center. Candidates must apply semester prior to internship.
Resident Prerequisite: Computer Engineering Gate Req with a score of 5 or Electrical Engineerng Gate Req with a score of 5 or Indust Sys Engineer Gate Req with a score of 5 or Mechanical Engineer Gate Req with a score of 5 or Civil Engineering Gate Req with a score of 5
Research-oriented project or an independently completed course of study in a specially designed area as approved and supervised by the instructor. May be repeated for up to 6 credits or as approved by the department chair.
Subject
ENGR
Credits (min)
3
Credits (max)
3
Credit unit
Credit Hour(s)
Type
course
Repeatable
May be repeated for up to 6 credits or as approved by the department chair.
Professional internship providing opportunity for controlled learning experience specific to engineering disciplines and student’s chosen specialization. Applications are reviewed by Faculty Intern Advisor and processed through the School. Candidates must apply semester prior to internship.
The course examines the principles of systems engineering, with emphasis on their application throughout the life cycle. Methodology is based on a total systems view of the user.
This course will provide general numerical methods for systems of nonlinear ordinary and partial differential equations (methods for stiff systems; basic theory in the finite difference and finite element methods; methods for parabolic, hyperbolic, and elliptic equations; analysis of stability and convergence; error estimates; current literature).
General single-step, multistep, multi-value, and extrapolation methods for systems of nonlinear equations; convergence; error bounds; error estimates; stability; methods for stiff systems; current literature.
Introduction to the mathematical theory, formulation, and computer implementation of the finite element method. Application to one-and two-dimensional problems in engineering mechanics.
The aim of this course is to educate the student in the areas of 1) statics, 2) dynamics, and 3) strength of materials. The content will include Newton’s Laws, forces, moments, torques, free body diagrams, equilibrium, kinematics of motion, velocity, acceleration, energy, momentum, stress, strain, and constitutive relationships.
This course discusses modern advanced graduate level control engineering techniques such as vector random process, robust stability and performance test, linear-quadratic regulator, and the linear-quadratic Gaussian controller design. The method is to provide a means of incorporating frequency domain specifications into control system designs.
ENGR 512Computing Languages (Python, MATLAB, C, C++, Fortran)3
An introduction to programming language (Python, Matlab, C, C++, Fortran) specification and analysis. Additional topics include control structures, data types, and structures, run-time environments, binding strategies, compilers, and interpreters.
This course integrates fundamental concepts in Cyber-Physical Systems (CPS) Engineering and Programmable Logic Controllers (PLCs) with an emphasis on design and application to factory automation and process control.
ENGR 515User Interface Design for Embedded Systems3
This course introduces fundamental design principles relevant to the design of the human interface to embedded systems. The major topics to be discussed include universal design principles, user research methods, the characteristics of tasks supported by embedded systems, user interface design process, and methods for evaluating an interface design.
This course aims to empower engineers to analyze and make conclusive assessments on the sufficiency and character of data streams from transient experiments and simulations. A myriad of mathematical tools and algorithms for data processing and analysis will be demonstrated. Successful students will be armed with the appropriate foundation to determine how and when to draw distilled and meaningful conclusions from volumes of seemingly random information.
Postulational treatment of the physical laws of equilibrium, thermostatics. Equations of state, processes, equilibrium stability, reactive systems, phase transitions.
ENGR 519Advanced Data Analysis and Machine Learning3
Machine learning introduces and emphasizes the methods that are used to provide computers the ability to perform various levels of artificial intelligence (AI) with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs and algorithms as well as the underlying data requirements that can enable computers to teach themselves, self-organize objects, and to grow or change when exposed to new data or sensory information.
This course includes the study of contracts, Intellectual property law, patents, copyright, trademark, trade secrets, ethics and other legal matters important to engineers.
Condensation and boiling, analytical and numerical techniques for conduction and convection, gray-body and spectral-dependent radiation, transient and steady-state thermal modeling.
This course covers contemporary topics in advanced engineering electromagnetics. This includes topics relevant to electromagnetic field theory, radar systems, RF/microwave engineering, antenna design, and electromagnetic compatibility.
This course covers plasticity, creep, viscoelasticity, and inelastic behavior in relation to microstructure-property relations, constitutive modeling at different length scales, and computational simulations.
History of fracture and development of fracture mechanics principles. Linear elastic and elastic-plastic stress analysis of cracked bodies. ASTM standards and applications.
This course aims to help the student unite the areas of God, Engineering, Math, and Science to integrate the Christian worldview in all engineering design and management decisions. Hence, we focus on various science areas (physics, biology, geology, etc.), engineering, and math to realize our goal.
Human biological and psychological capabilities and limitations in the industrial setting. Topics include techniques and methods for applying the principles of human factors engineering and ergonomics to system design.
This course will teach students the principles of industrial ergonomics. It focuses on physical ergonomics and ergonomic assessment tools. At the end of the course students will have used the most common ergonomic assessment tools and will be able to assess the risk of musculoskeletal injuries.
Emphasis is placed on network transport services and key protocols to include TCP, IP, and UDP. Topics include application of network design and implementation of robust performance based computer networks, and an introduction to wireless and mobile networks.
Research-oriented project or an independently completed course of study in a specially designed area as approved and supervised by the instructor. May be repeated for up to 6 credits.
This course trains graduate engineering students in the fundamentals of conducting research, encompassing fundamental research, applied research, and prototyping activities. Students will learn to systematically define a research problem, formulate a working hypothesis, and design a research plan. The course culminates in a conference-style oral presentation (20 minutes) and a draft journal article ("first cut") based on the student's research findings. Throughout the course, students will develop essential skills for effective technical communication, both written and oral, and will gain experience in working professionally with research advisors. Upon successful completion, students will have a strong foundation in conducting research, writing journal articles, delivering technical presentations, and navigating advisor-student collaborations.
Title to be arranged. This course is to be used on a limited basis to offer developing subject matter areas not covered in existing courses. (Courses limited to two offerings under one title within two academic years).
This course examines the concepts and approaches to leading for innovation and change within diverse and complex organizations and systems – focusing on application to both manufacturing and service sectors.
Elementary aspects of computational fluid dynamics (CFD); review of numerical analysis and fluid mechanics as pertinent to CFD; numerical solution to selected fluid dynamic problems.
The aim of this course is to educate the student about the many facets of jointly flowing immiscible phases, in terms of 1) physics, 2) applications, and 3) simulations. The content will span the four possible combinations of gas-liquid (g-l), liquid-solid (l-s), gas-solid (g-s), and gas-liquid-solid (g-l-s). In the case of solids, the focus is on the behavior of particulate matter as an aggregate and not solid mechanics. For the first three (g-l, l-s, and g-s), course material will cover both volume fraction extrema e.g., nearly all gas g-l and nearly all liquid g-l. Interphase turbulence will be discussed.
The aim of this course is to educate the student about the diverse world of compressible flows with respect to 1) physics, 2) applications, and 3) simulations. We will discuss foundations subjects, such as shock waves and the effects of friction and heat transfer. Additionally, we will address complex components of compressible flows, including shock-capturing in CFD along with shock-turbulence interactions. Material in this course will synergize with other graduate course offerings at LU, most specifically advanced thermodynamics, computational fluid dynamics, and the physics and modeling of turbulence.
This course will demystify “turbulence” and train students in the art of turbulence assessment and quantification. We will provide a foundation in the nature of turbulence, along with an appreciation of the impacts of turbulence in nearly limitless fluid mechanics scenarios.
Provides an overview of non-conventional mechanical approaches in nature and shows how this knowledge can lead to more creativity in mechanical design and to better (simpler, smaller, more robust) solutions than with conventional technology.
Introduction to optimality criteria and optimization techniques for solving constrained or unconstrained optimization problems. Sensitivity analysis and approximation. Computer application in optimization. Introduction to MDO.
Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. The integration of artificial intelligence with CPS, especially for real-time operation, creates new research opportunities with major societal implications. This course is not feasible for remote students.
This course integrates fundamental concepts in Cyber-Physical Systems (CPS) Engineering and Robotics with an emphasis on the design and development of software applications for robotics systems control and development. This course is not feasible for Remote Students.
To provide an introductory exposition to the composition-process-structure-property relationships related to polymers and polymer nanocomposites. This course will be divided in two parts: (I) starting with a review on electron configuration and bonding, the first part will cover polymer chemistry, structure, and configuration. Mechanical, electrical, optical, thermal, magnetic, ion transport, and other properties of polymers will be discussed. (II) The second part of the course will focus solely on polymer nanocomposites, particularly on, (a) the multiplicative contributions of matrix and dispersed phases, and (b) the factors that affect the interaction between the two phases: dispersion, interfacial region, solubility, loading, size and geometrical effects. Applications and manufacturing processes for PNCs will be outlined as well.
The fundamental linkages between processing, structure and properties will be addressed with emphasis on micro- and nano-structural impacts on properties.
Characterization of advanced material behaviors for pavement subgrades, bases and surface courses, Stress dependency, viscoelasticity, repeated load moduli, and stabilization are central behaviors of interest.
The mechanical and metallurgical fundamentals of metals are discussed. Mechanical fundamentals cover the stress and strain relationships and metallurgical fundamentals cover the Microstructure.
ENGR 643Statistical Analysis for Engineering Operations3
This course introduces statistical analysis tools and techniques foundational to excellence in engineering operations. Students will gain the knowledge base and skill set needed to apply improvement and control processes such as Six Sigma and Lean.
This course will provide general numerical methods for systems of nonlinear ordinary and partial differential equations (methods for stiff systems; basic theory in the finite difference and finite element methods; methods for parabolic, hyperbolic, and elliptic equations; analysis of stability and convergence; error estimates; current literature).
General single-step, multistep, multivalue, and extrapolation methods for systems of nonlinear equations; convergence; error bounds; error estimates; stability; methods for stiff systems; current literature.
Introduction to the mathematical theory, formulation, and computer implementation of the finite element method. Application to one-and two-dimensional problems in engineering mechanics.
The aim of this course is to educate the student in the areas of 1) statics, 2) dynamics, and 3) strength of materials. The content will include Newton’s Laws, forces, moments, torques, free body diagrams, equilibrium, kinematics of motion, velocity, acceleration, energy, momentum, stress, strain, and constitutive relationships.
This course discusses modern advanced graduate level control engineering techniques such as vector random process, robust stability and performance test, linear-quadratic regulator, and the linear-quadratic Gaussian controller design. The method is to provide a means of incorporating frequency domain specifications into control system designs.
ENGR 712Computing Languages (Python, MATLAB, C, C++, Fortran)3
An introduction to programming language (Python, MATLAB, C, C++, Fortran) specification and analysis. Additional topics include control structures, data types, and structures, run-time environments, binding strategies, compilers, and interpreters.
This course integrates fundamental concepts in Cyber-Physical Systems (CPS) Engineering and Programmable Logic Controllers (PLCs) with an emphasis on design and application to factory automation and process control.
Postulational treatment of the physical laws of equilibrium, thermostatics. Equations of state, processes, equilibrium stability, reactive systems, phase transitions.
Condensation and boiling, analytical and numerical techniques for conduction and convection, gray-body and spectral-dependent radiation, transient and steady-state thermal modeling.
This course covers contemporary topics in advanced engineering electromagnetics. This includes topics relevant to electromagnetic field theory, radar systems, RF/microwave engineering, antenna design, and electromagnetic compatibility.
This course covers plasticity, creep, viscoelasticity, and inelastic behavior in relation to microstructure-property relations, constitutive modeling at different length scales, and computational simulations.
History of fracture and development of fracture mechanics principles. Linear elastic and elastic-plastic stress analysis of cracked bodies. ASTM standards and applications.
Research-oriented project or an independently completed course of study in a specially designed area as approved and supervised by the instructor. May be repeated for up to 6 credits.
Title to be arranged. This course is to be used on a limited basis to offer developing subject matter areas not covered in existing courses. (Courses limited to two offerings under one title within two academic years).
Elementary aspects of computational fluid dynamics (CFD); review of numerical analysis and fluid mechanics as pertinent to CFD; numerical solution to selected fluid dynamic problems.
The aim of this course is to educate the student about the many facets of jointly flowing immiscible phases, in terms of 1) physics, 2) applications, and 3) simulations. The content will span the four possible combinations of gas-liquid (g-l), liquid-solid (l-s), gas-solid (g-s), and gas-liquid-solid (g-l-s). In the case of solids, the focus is on the behavior of particulate matter as an aggregate and not solid mechanics. For the first three (g-l, l-s, and g-s), course material will cover both volume fraction extrema e.g., nearly all gas g-l and nearly all liquid g-l. Interphase turbulence will be discussed.
The aim of this course is to educate the student about the diverse world of compressible flows with respect to 1) physics, 2) applications, and 3) simulations. We will discuss foundations subjects, such as shock waves and the effects of friction and heat transfer. Additionally, we will address complex components of compressible flows, including shock-capturing in CFD along with shock-turbulence interactions. Material in this course will synergize with other graduate course offerings at LU, most specifically advanced thermodynamics, computational fluid dynamics, and the physics and modeling of turbulence.
This course will demystify “turbulence” and train students in the art of turbulence assessment and quantification. We will provide a foundation in the nature of turbulence, along with an appreciation of the impacts of turbulence in nearly limitless fluid mechanics scenarios.
Provides an overview of non-conventional mechanical approaches in nature and shows how this knowledge can lead to more creativity in mechanical design and to better (simpler, smaller, more robust) solutions than with conventional technology.
Introduction to optimality criteria and optimization techniques for solving constrained or unconstrained optimization problems. Sensitivity analysis and approximation. Computer application in optimization. Introduction to MDO.
Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. The integration of artificial intelligence with CPS, especially for real-time operation, creates new research opportunities with major societal implications. This course is not feasible for remote students.
This course integrates fundamental concepts in Cyber-Physical Systems (CPS) Engineering and Robotics with an emphasis on the design and development of software applications for robotics systems control and development. This course is not feasible for Remote Students.
To provide an introductory exposition to the composition-process-structure-property relationships related to polymers and polymer nanocomposites. This course will be divided in two parts: (I) starting with a review on electron configuration and bonding, the first part will cover polymer chemistry, structure, and configuration. Mechanical, electrical, optical, thermal, magnetic, ion transport, and other properties of polymers will be discussed. (II) The second part of the course will focus solely on polymer nanocomposites, particularly on, (a) the multiplicative contributions of matrix and dispersed phases, and (b) the factors that affect the interaction between the two phases: dispersion, interfacial region, solubility, loading, size and geometrical effects. Applications and manufacturing processes for PNCs will be outlined as well.
The fundamental linkages between processing, structure and properties will be addressed with emphasis on micro- and nano-structural impacts on properties.
Characterization of advanced material behaviors for pavement subgrades, bases and surface courses, Stress dependency, viscoelasticity, repeated load moduli, and stabilization are central behaviors of interest.
The mechanical and metallurgical fundamentals of metals are discussed. Mechanical fundamentals cover the stress and strain relationships and metallurgical fundamentals cover the microstructure.
