## Current Registration Announcement

**Spring 2022 Course Listings**:

The University reserves the right to revise any information listed in this timetable of classes.

## Aerospace Engineering

SEC. 001 CRN 33731 Abedi

002 CRN 33732 Kreth

003 CRN 33733 Moeller

004 CRN 33734 Schmisseur

005 CRN 33735 Zhang

Grading Restriction: P/NP only.

Repeatability: May be repeated.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

SEC. 002 CRN 23959 Moeller

Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: May be repeated.

Credit Restriction: May not be used toward degree requirements.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate

SEC. 001 CRN 23960

TEXT: Viscous Fluid Flow; Frank M. White; McGraw Hill; 3rd Edition; ISBN 0072402318

TIME: Tuesday & Thursday 2:40 – 3:55 E-113

PROF: Dr. Mark Gragston

Derivation of fundamental equations of compressible viscous flow; boundary conditions for viscous heat-conducting flow; exact solutions for Newtonian viscous flow (Navier-Stokes) equations for special cases; similarity solutions. Thermal boundary layers, stability of laminar flows, transition to turbulence, 2-D turbulent boundary layer equations. Incompressible-turbulent mean flow, and compressible boundary layer flow.

SEC. 001 CRN 34284 (Same as ME 516 001 CRN 34868)

TEXT: Random Data: Analysis and Measurement Procedures; Julius S. Bendat and Allan G. Piersol;

Wiley; 4th Ed.; ISBN 978-0-470-24877-5

TIME: Monday & Wednesday 8:50 – 10:05 E-111

PROF: Dr. Phil Kreth

Various tools and techniques used in the analysis of random data. Data classification; statistics and probability; spectral and correlation functions; data acquisition fundamentals; input-output system models; and an introduction to modern data analysis procedures.

Cross-listed: (Same as: Mechanical Engineering 516.)

(DE) Prerequisite(s): Undergrad degree in engineering. Consent of instructor.

Recommended Background: Logic-based programming knowledge (preferably within MATLAB) and some laboratory research.

Registration Permission: Consent of instructor.

SEC. 001 CRN 28542

TEXT: Physics of Electric Propulsion (textbook is available from Amazon.com); Robert G. Jahn;

Dover Publications; ISBN 10:0486450406; 13: 978-0486450407

TIME: Monday & Thursday 1:00 – 2:15 E-113

PROF: Dr. Trevor Moeller

Engineering concepts of electric propulsion and its application to modern satellites and deep space probes. Topics include physical principles, practical designs, and performance levels of electrically-powered space propulsion thrusters including: ion engines; pulsed and steady-state (fixed field) plasma and MHD thrusters, including Hall Thrusters, and others.

Recommended Background: Rocket propulsion.

Registration Permission: Consent of Instructor.

SEC. 001 CRN 23965 Abedi

002 CRN 33737 Kreth

003 CRN 33738 Moeller

004 CRN 33739 Schmisseur

005 CRN 33740 Zhang

Repeatability: May be repeated. Maximum 6 hours.

Comment(s): Enrollment limited to students in problems option.

Registration Permission: Consent of advisor.

SEC. 001 CRN 23969 (Same as ME 599 002 CRN 26621)

TEXT: No Textbook – Instructor Notes Only

TIME: Monday & Wednesday 10:30 – 11:45 E-111

PROF: Dr. Milt Davis

- Provide a Fundamental Understanding of Aerospace Ground Test Simulation and Facilities
- How Ground Testing Provides Accurate Engineering Information
- Application of GT Information to Aerospace System
- Applicable Analysis Techniques
- Suitable Measurement Systems
- Repeatability: May be repeated. Maximum 6 hours.

SEC. 003 CRN 26620 (Same as ME 599 013 CRN 27651)

TEXT: Stabilization and Dynamics of Premixed Swirling Flames; 1st Edition; Paul Palies;

July 2020; Available electronically at the library.

TIME: Tuesday & Thursday 10:30 – 11:45 E-113

PROF: Dr. Paul Palies

This course follows Combustion I course and focuses on combustion dynamics and unsteady combustion process in gas turbine engines for commercial aviation. The goal is to describe the fundamentals of combustion processes at work in these propulsion systems including turbulent combustion and combustion instability. A major emphasis is on flame stabilization and combustion dynamics. Flame stabilization includes non-reacting flow processes and chemical reactions complexities associated to the flame front which are described. Combustion dynamics include phenomenon such as flashback, combustion oscillation, and blowoff. Elements of analytical, computational modeling and experimental measurements in the field are introduced and discussed. The operation and principles of gas turbines engines are also described. Finally, the perspective for research and development are outlined and include clean propulsion, sustainable aviation fuel, premixed combustion, and hydrogen combustion. Some of the material presented and this course are also relevant to other combustion and propulsion systems and specifics (fighter aircraft and rocket engines…) and will be discussed too.

This is a three-credit hour course. Combustion I is recommended, but not required.

Repeatability: May be repeated. Maximum 6 hours.

SEC. 005 CRN 25163 (Same as ME 599 006 CRN 25765)

TEXT: Measurement Uncertainty, Methods and Applications; Ronald Dieck; International Society of Automation; 5th Edition; ISBN-10 1941546943, ISBN-13 978-1941546949

TIME: Tuesday & Thursday 10:30 – 11:45 E-110

PROF: Dr. Ragini Acharya

With the increasing complexity and more demanding requirements for engineered systems, it has become vital to include Uncertainty Quantification (UQ) in engineering analysis. This course will cover uncertainty identification and quantification arising from sources like measurement inaccuracies, material properties, boundary and initial conditions, and modeling approximations, numerical errors in the computational fluid dynamics based workflow including validation with experimental data, introduces forward and inverse propagation of uncertainty and uncertainty quantification methods, discuss potential implementations on use case studies to demonstrate the benefits of going beyond deterministic analysis.

The competitive benefits of UQ include reduced development time and cost, improved designs, better understanding of risk, and quantifiable confidence in analysis results and engineering decisions. Unfortunately, there are obstacles and technical challenges which can prevent organizations from utilizing UQ methods and techniques in their engineering practice. This graduate course will enable students to be prepared for these technical challenges.

Repeatability: May be repeated. Maximum 6 hours.

SEC. 006 CRN 24962 (Same as BME 005 CRN 25957 and ME 599 015 CRN 28672)

TEXT: Mathematical Methods for Physicists; Arfken et al; Academic Press; 2013

TIME: TBD

PROF: Dr. Christian Parigger

Linear vector spaces, matrices, tensors, curvilinear coordinates, functions of a complex variable, partial differential equations and boundary value problems, Green’s functions, integral transforms, integral equations, spherical harmonics, Bessel functions, calculus of variations.

Recommended Background: Advanced calculus and differential equations.

Repeatability: May be repeated. Maximum 6 hours.

AE 600 Doctoral Research/Dissertation (3-15)

SEC. 010 CRN 23980 Abedi

013 CRN 23983 Kreth

015 CRN 25295 Moeller

016 CRN 33741 Schmisseur

017 CRN 33786 Zhang

Grading Restriction: P/NP only.

Repeatability: May be repeated.

Registration Restriction(s): Minimum student level – graduate.

SEC. 002 CRN 28551

TEXT: TBD

TIME: TBD

PROF: Dr. Jeffrey Reinbolt

Methods of planning and conducting original research and proposal writing.

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: Maximum 6 hours. May be repeated once.

Registration Restriction(s): Minimum student level – graduate / doctoral students.

Registration Permission: Departmental approval.

SEC. 001 CRN 28674

TEXT: TBD

TIME: Monday & Wednesday 12:10 – 1:25 E-110

PROF: Dr. James Coder

Critical review of significance to governing equations. Nature of boundary layer approximation as singular perturbation problem. Uniqueness and existence of solutions. Applications of group theory. Special problem areas of interest to students.

(DE) Prerequisite(s): 512, continuum mechanics, and Mathematics 562.

Registration Restriction(s): Minimum student level – graduate.

SEC. 004 CRN 26835

TEXT: No Textbook Required

TIME: Monday & Wednesday 2:40 – 3:55 Online

PROF: Dr. Mark Gragston

Optics and optical measurements play an increasingly important role in various aspects of modern engineering, such as the design of sensors for automation, instrumentation for biomedical diagnostics, and for precise measurements of high-speed gas flows in wind tunnels. This course aims to provide basic knowledge of light, optical components, lasers, and the use of light for engineering measurements.

Repeatability: May be repeated. Maximum 9 hours.

Registration Restriction(s): Minimum student level – graduate.

Registration Permission: Consent of instructor.

### Biomedical Engineering

SEC. 012 CRN 25804 Johnson

Grading Restriction: P/NP only.

Repeatability: May be repeated.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

BME 529 Applications of Linear Algebra in Engineering Systems (3)

SEC. 001 CRN 24061 (Video Recorded)

TEXT: Advanced Linear Algebra for Engineers with MATLAB; Sohail A. Dianat and Eli S. Saber;

CRC Press; Latest Edition; ISBN 978-1-4200-9523-4

TIME: Tuesday & Thursday 8:50 – 10:05 E-111

PROF: Dr. Monty Smith

Fundamental concepts of linear algebra to problems in engineering systems: steady state and dynamic systems. Geometric and physical interpretations of relevant concepts: least square problems, LU, QR, and SVD decompositions of system matrix, eigenvalue problems, and similarity transformations in solving difference and differential equations; numerical stability aspects of various algorithms; application of linear algebra concepts in control and optimization studies; introduction to linear programming. Computer projects.

Methods of linear algebra with application to engineering problems. Systems of linear equations: matrix-vector notation, solutions to linear equations, matrix determinants, matrix inversion, Cramer’s rule, LU matrix decomposition. Vector spaces: spanning sets, vector norms, orthogonality, QR matrix decomposition, linear transformations. Eigenvalues and eigenvectors: characteristic polynomials, modal matrices, singular value decomposition. The Cayley-Hamilton theorem: matrix polynomials, functions of matrices, solutions to systems of differential and difference equations. Optimization: least-squares and weighted least-squares methods.

Cross-listed: (Same as Chemical and Biomolecular Engineering 529; Civil Engineering 529, Electrical and Computer Engineering 529; Environmental Engineering 529; Industrial Engineering 529; Materials Science and Engineering 529; Mechanical Engineering 529; Nuclear Engineering 529).

Comment(s): Graduate standing or consent of instructor required.

SEC. 002 CRN 33260

TEXT: TBD

TIME: Tuesday & Thursday 1:50 – 3:05 Online

PROF: Dr. Sara Hanrahan

Develop an understanding of cell-cell interactions and the role of the extracellular matrix in the structure and function of normal and pathological tissues. Topics include the harvesting of stem cells from specific tissues, the use of artificial and natural scaffolds in three-dimensional tissue culture, and the role of maintaining the stem cell state in culture.

(DE) Prerequisite(s): 503, 511, 521.

BME 588 Cell and Tissue-Biomaterials Interaction (3)

SEC. 003 CRN 33788

TEXT: TBD

TIME: Tuesday & Thursday 10:30 – 11:45 Online

PROF: Dr. Sara Hanrahan

Study of the fundamental principles involved in materials / cell and tissue interactions. Students will learn the underlying cellular and molecular mechanisms in host response to biomaterials. Emphasis will be placed on the integration of biomaterials/neuronal cells and tissue interactions into the design of neural implants (sensors, scaffolds, and therapeutics delivery modalities, etc.). Additional research paper assignments will be given to graduate students registered for this course.

Recommended Background: BME 474.

Comment(s): Prior knowledge may satisfy prerequisites, with consent of instructor.

SEC. 001 CRN 26717 Johnson

Repeatability: May be repeated. Maximum 6 hours.

Comment(s): Enrollment limited to students in problems option.

Registration Permission: Consent of advisor.

SEC. 005 CRN 25957 (Same as AE 599 006 CRN 24962 and ME 599 015 CRN 28672)

TEXT: Mathematical Methods for Physicists; Arfken et al; Academic Press; 2013

TIME: TBD

PROF: Dr. Christian Parigger

Linear vector spaces, matrices, tensors, curvilinear coordinates, functions of a complex variable, partial differential equations and boundary value problems, Green’s functions, integral transforms, integral equations, spherical harmonics, Bessel functions, calculus of variations.

Recommended Background: Advanced calculus and differential equations.

Repeatability: May be repeated. Maximum 6 hours.

SEC. 007 CRN 28695

TEXT: TBD

TIME: Tuesday & Thursday 7:10 – 8:25 Online

PROF: Dr. Sara Hanrahan

Repeatability: May be repeated. Maximum 12 hours.

Registration Permission: Consent of instructor.

SEC. 011 CRN 25805 Johnson

Grading Restriction: P/NP only.

Repeatability: May be repeated.

Registration Restriction(s): Minimum student level – graduate.

SEC. 002 CRN 28552

TEXT: TBD

TIME: TBD

PROF: Dr. Jeffrey Reinbolt

Intensive, individualized experience in reviewing literature, evaluating experimental or theoretical methods, planning a research project, and presenting research project plans orally and in writing.

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: Maximum 6 hours. May be repeated once.

Registration Restriction(s): Minimum student level – graduate. PhD students only.

Registration Permission: Consent of instructor.

SEC. 001 CRN 34051

TEXT: Materials Science for Dentistry; B. W. Darvell; 9th Edition;

TIME: Monday, Wednesday & Friday 12:00 – 12:50 Zoom

PROF: Dr. Jackie Johnson

Dental Materials have some of the most exacting and varied requirements for mechanical strength. Uses of dental materials include fillings, crowns, bridges, implants, root canals, impressions and many others. The course will cover mechanical testing, such as deformation, strength testing, impact and creep; rheology, such as elasticity, flow and fillers; surfaces – wetting, bonding, adhesives and etching; Corrosion – basic considerations, passive metals and deliberate corrosion; casting – dimensional considerations and defects. There will also be a modeling component.

(DE) Prerequisite(s): Mechanical Engineering 524, 530, or 559.

Registration Restriction(s): Minimum student level – graduate.

### Industrial Engineering

SEC. 010 CRN 21682 Simonton UT Space Institute Campus

011 CRN 25080 Yu UT Space Institute Campus

016 CRN 33706 Yu Distance Education Campus

Grading Restriction: P/NP only.

Repeatability: May be repeated.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

SEC. 016 CRN 34556 Tolk UT Space Institute Campus

017 CRN 34557 Tolk UT Distance Education Campus

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: May be repeated. Maximum 6 hours.

Comment(s): Enrollment limited to industrial engineering students in non-thesis option.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

SEC. 003 CRN 34558 Yu UT Space Institute Campus

Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: May be repeated.

Credit Restriction: May not be used toward degree requirements.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

SEC. 001 CRN 21706 UT Knoxville Campus (Video Recorded)

002 CRN 29392 Distance Education Campus

003 CRN 31827 UT Space Institute Campus

TEXT: Advanced Linear Algebra for Engineers with MATLAB; Sohail A. Dianat and Eli S. Saber;

CRC Press; Latest Edition; ISBN 978-1-4200-9523-4

TIME: Tuesday & Thursday 8:50 – 10:05 E-111

PROF: Dr. Monty Smith

Fundamental concepts of linear algebra to problems in engineering systems: steady state and dynamic systems. Geometric and physical interpretations of relevant concepts: least square problems, LU, QR, and SVD decompositions of system matrix, eigenvalue problems, and similarity transformations in solving difference and differential equations; numerical stability aspects of various algorithms; application of linear algebra concepts in control and optimization studies; introduction to linear programming. Computer projects.

Methods of linear algebra with application to engineering problems. Systems of linear equations: matrix-vector notation, solutions to linear equations, matrix determinants, matrix inversion, Cramer’s rule, LU matrix decomposition. Vector spaces: spanning sets, vector norms, orthogonality, QR matrix decomposition, linear transformations. Eigenvalues and eigenvectors: characteristic polynomials, modal matrices, singular value decomposition. The Cayley-Hamilton theorem: matrix polynomials, functions of matrices, solutions to systems of differential and difference equations. Optimization: least-squares and weighted least-squares methods.

Cross-listed: (Same as Chemical and Biomolecular Engineering 529; Civil Engineering 529, Electrical and Computer Engineering 529; Environmental Engineering 529; Materials Science and Engineering 529; Mechanical Engineering 529; Nuclear Engineering 529).

Comment(s): Graduate standing or consent of instructor required.

SEC. 001 CRN 33673 UT Knoxville Campus

002 CRN 33674 Distance Education Campus

003 CRN 33675 UT Space Institute Campus

TEXT: TBD

TIME: Monday 10:00 – 12:30 E-113

PROF: Dr. Andrew Yu

Financial and managerial accounting in engineering and technology management. Transaction recording, financial statements, ratios and analysis, activity-based accounting, and standard practices for costing, budgeting, assessment, and control.

SEC. 001 CRN 33679 UT Knoxville Campus

002 CRN 33681 Distance Education Campus

003 CRN 33682 UT Space Institute Campus

TEXT: TBD

TIME: TBD

PROF: Dr. Lynn Reed

Strategic planning process and strategic management in practice; corporate vision and mission; product, market, organizational, and financial strategies; external factors; commercialization of new technologies; and competition and beyond.

Recommended Background: Graduate standing in Engineering or Business.

SEC. 001 CRN 33684 UT Knoxville Campus

002 CRN 33686 Distance Education Campus

003 CRN 33687 UT Space Institute Campus

TEXT: TBD

TIME: Wednesday 9:30 – 12:00 E-113

PROF: Dr. Tony Shi

Methodology for experiments in product, service, and process improvements. Factorial experiments, screening designs, variance reduction, and other selected topics for engineering managers. Taguchi philosophy and concepts. Optimization and response surface methods. Case studies.

(RE) Prerequisite(s): Industrial Engineering 516.

SEC. 010 CRN 21719 Simonton UT Space Institute Campus

019 CRN 32801 Simonton Distance Education Campus

011 CRN 25079 Yu UT Space Institute Campus

018 CRN 32800 Yu Distance Education Campus

009 CRN 21718 Shi UT Space Institute Campus

Grading Restriction: P/NP only.

Repeatability: May be repeated.

Registration Restriction(s): Minimum student level – graduate.

## Mechanical Engineering

SEC. 001 CRN 21580 Abedi

021 CRN 21600 Kreth

022 CRN 21601 Moeller

023 CRN 21602 Schmisseur

024 CRN 21603 Zhang

Repeatability: May be repeated.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

SEC. 002 CRN 25081 Moeller

Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: May be repeated.

Credit Restriction: May not be used toward degree requirements.

Credit Level Restriction: Graduate credit only.

Registration Restriction(s): Minimum student level – graduate.

SEC. 001 CRN 21616

TEXT: Adrian Bejan; Convection Heat Transfer; 4th Edition; John Wiley

TIME: Monday & Wednesday 2:45 – 4:00 Zoom

PROF: Dr. Feng Yuan Zhang

Models and equations for fluid motion, the general energy equation, and transport properties. Exact, approximate, and boundary layer solutions for laminar flow heat transfer problems. Heat transfer in internal and external forced and buoyancy driven flows. Application of similarity concepts and analogies to convection heat transfer.

Recommended Background: Undergraduate heat transfer course.

SEC. 001 CRN 34868 (Same as AE 516 001 CRN 34284)

TEXT: Random Data: Analysis and Measurement Procedures; Julius S. Bendat and Allan G. Piersol;

Wiley; 4th Ed.; ISBN 978-0-470-24877-5

TIME: Monday & Wednesday 8:50 – 10:05 E-111

PROF: Dr. Phil Kreth

Various tools and techniques used in the analysis of random data. Data classification; statistics and probability; spectral and correlation functions; data acquisition fundamentals; input-output system models; and an introduction to modern data analysis procedures.

Cross-listed: (Same as: Aerospace Engineering 516.)

(DE) Prerequisite(s): Undergrad degree in engineering. Consent of instructor.

Recommended Background: Logic-based programming knowledge (preferably within MATLAB) and some laboratory research.

SEC. 001 CRN 21618

TEXT: Introduction to Physical Gas Dynamics; Walter G. Vincenti and Charles H. Kruger;

Krieger Publishing Company; 2nd, 1975, 1986, 2002 reprint; ISBN 0882753096

TIME: Tuesday & Thursday 10:30 – 11:45 Online

PROF: Dr. Peng Zhao

Macroscopic thermodynamics, including First and Second Law analyses, availability, phase and chemical equilibrium criteria, combustion, gas mixtures, and property relations, determination of thermodynamic properties from molecular structure, spectroscopic data, kinetic theory, statistical mechanics, quantum physics, Schroedinger equation.

Recommended Background: Undergraduate thermodynamics

SEC. 001 CRN 21620 (Video Recorded)

TEXT: Advanced Linear Algebra for Engineers with MATLAB; Sohail A. Dianat and Eli S. Saber;

CRC Press; Latest Edition; ISBN 978-1-4200-9523-4

TIME: Tuesday & Thursday 8:50 – 10:05 E-111

PROF: Dr. Monty Smith

Fundamental concepts of linear algebra to problems in engineering systems: steady state and dynamic systems. Geometric and physical interpretations of relevant concepts: least square problems, LU, QR, and SVD decompositions of system matrix, eigenvalue problems, and similarity transformations in solving difference and differential equations; numerical stability aspects of various algorithms; application of linear algebra concepts in control and optimization studies; introduction to linear programming. Computer projects.

Methods of linear algebra with application to engineering problems. Systems of linear equations: matrix-vector notation, solutions to linear equations, matrix determinants, matrix inversion, Cramer’s rule, LU matrix decomposition. Vector spaces: spanning sets, vector norms, orthogonality, QR matrix decomposition, linear transformations. Eigenvalues and eigenvectors: characteristic polynomials, modal matrices, singular value decomposition. The Cayley-Hamilton theorem: matrix polynomials, functions of matrices, solutions to systems of differential and difference equations. Optimization: least-squares and weighted least-squares methods.

Cross-listed: (Same as Chemical and Biomolecular Engineering 529; Civil Engineering 529, Electrical and Computer Engineering 529; Environmental Engineering 529; Industrial Engineering 529; Materials Science and Engineering 529; Nuclear Engineering 529).

Comment(s): Graduate standing or consent of instructor required.

SEC. 002 CRN 33422

TEXT: TBD

TIME: Tuesday & Thursday 8:50 – 10:05 Online

PROF: Dr. Sudarsanam Babu

Fundamentals of additive manufacturing processes within the context of traditional manufacturing life cycle including the basics of product design, processing mechanics and materials science to highlight the advantages of additive manufacturing.

Credit Restriction: Students cannot receive credit for both 469 and 569.

Recommended Background: Computer-aided design, materials science.

Registration Permission: Consent of Instructor.

SEC. 001 CRN 28707

TEXT: TBD

TIME: Tuesday & Thursday 8:50 – 10:05 E-110

PROF: Dr. Kivanc Ekici

Review and implementation of basic numerical techniques. Explicit and implicit solution techniques of ordinary differential equations and partial differential equations. Applications include heat transfer and fluid mechanics.

Recommended Background: Numerical analysis, fluid mechanics, heat transfer and differential equations.

Registration Permission: Consent of Instructor.

SEC. 002 CRN 21626 Abedi

003 CRN 25514 Kreth

005 CRN 25515 Moeller

006 CRN 25516 Schmisseur

007 CRN 25517 Zhang

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: May be repeated. Maximum 6 hours.

Comment(s): Enrollment limited to students in problems option.

Registration Permission: Consent of advisor.

SEC. 002 CRN 26621 (Same as AE 599 001 CRN 23969)

TEXT: No Textbook – Instructor Notes Only

TIME: Monday & Wednesday 10:30 – 11:45 E-111

PROF: Dr. Milt Davis

- Provide a Fundamental Understanding of Aerospace Ground Test Simulation and Facilities
- How Ground Testing Provides Accurate Engineering Information
- Application of GT Information to Aerospace System
- Applicable Analysis Techniques
- Suitable Measurement Systems

Repeatability: May be repeated. Maximum 6 hours.

Registration Permission: Consent of instructor.

SEC. 005 CRN 26679

TEXT: TBD

TIME: Tuesday & Thursday 8:50 – 10:05 Online

PROF: Dr. Damiano Baccarella

Repeatability: May be repeated. Maximum 6 hours.

Registration Permission: Consent of instructor.

SEC. 006 CRN 25765 (Same as AE 599 005 CRN 25163)

TEXT: Measurement Uncertainty, Methods and Applications; Ronald Dieck; International Society of Automation; 5th Edition; ISBN-10 1941546943, ISBN-13 978-1941546949

TIME: Tuesday & Thursday 10:30 – 11:45 E-110

PROF: Dr. Ragini Acharya

With the increasing complexity and more demanding requirements for engineered systems, it has become vital to include Uncertainty Quantification (UQ) in engineering analysis. This course will cover uncertainty identification and quantification arising from sources like measurement inaccuracies, material properties, boundary and initial conditions, and modeling approximations, numerical errors in the computational fluid dynamics based workflow including validation with experimental data, introduces forward and inverse propagation of uncertainty and uncertainty quantification methods, discuss potential implementations on use case studies to demonstrate the benefits of going beyond deterministic analysis.

The competitive benefits of UQ include reduced development time and cost, improved designs, better understanding of risk, and quantifiable confidence in analysis results and engineering decisions. Unfortunately, there are obstacles and technical challenges which can prevent organizations from utilizing UQ methods and techniques in their engineering practice. This graduate course will enable students to be prepared for these technical challenges.

Repeatability: May be repeated. Maximum 6 hours.

Registration Permission: Consent of instructor.

SEC. 013 CRN 27651 (Same as AE 599 003 CRN 26620)

TEXT: Stabilization and Dynamics of Premixed Swirling Flames; 1st Edition; Paul Palies;

July 2020; Available electronically at the library.

TIME: Tuesday & Thursday 10:30 – 11:45 E-113

PROF: Dr. Paul Palies

This course follows Combustion I course and focuses on combustion dynamics and unsteady combustion process in gas turbine engines for commercial aviation. The goal is to describe the fundamentals of combustion processes at work in these propulsion systems including turbulent combustion and combustion instability. A major emphasis is on flame stabilization and combustion dynamics. Flame stabilization includes non-reacting flow processes and chemical reactions complexities associated to the flame front which are described. Combustion dynamics include phenomenon such as flashback, combustion oscillation, and blowoff. Elements of analytical, computational modeling and experimental measurements in the field are introduced and discussed. The operation and principles of gas turbines engines are also described. Finally, the perspective for research and development are outlined and include clean propulsion, sustainable aviation fuel, premixed combustion, and hydrogen combustion. Some of the material presented and this course are also relevant to other combustion and propulsion systems and specifics (fighter aircraft and rocket engines…) and will be discussed too.

This is a three-credit hour course. Combustion I is recommended, but not required.

Repeatability: May be repeated. Maximum 6 hours

Registration Permission: Consent of instructor.

SEC. 015 CRN 28672 (Same as BME 599 005 CRN 25957 and AE 599 006 CRN 24962)

TEXT: Mathematical Methods for Physicists; Arfken et al; Academic Press; 2013

TIME: TBD

PROF: Dr. Christian Parigger

Linear vector spaces, matrices, tensors, curvilinear coordinates, functions of a complex variable, partial differential equations and boundary value problems, Green’s functions, integral transforms, integral equations, spherical harmonics, Bessel functions, calculus of variations.

Recommended Background: Advanced calculus and differential equations.

Repeatability: May be repeated. Maximum 6 hours.

Registration Permission: Consent of instructor.

SEC. 015 CRN 21645 Abedi

016 CRN 21646 Kreth

018 CRN 21648 Moeller

019 CRN 21649 Schmisseur

027 CRN 21657 Zhang

Repeatability: May be repeated.

Registration Restriction(s): Minimum student level – graduate.

SEC. 002 CRN 28553

TEXT: TBD

TIME: TBD

PROF: Dr. Jeffrey Reinbolt

Methods of planning and conducting original research and proposal writing.

Grading Restriction: Satisfactory/No Credit grading only.

Repeatability: Maximum 6 hours. May be repeated once.

Registration Restriction(s): Minimum student level – doctoral student.

Registration Permission: Departmental approval.

## Physics

SEC. 002 CRN 24775

TEXT: Electrodynamics; Chaichian et al; Springer; 2016

TIME: Monday, Wednesday & Friday 9:30 – 10:20 Zoom

PROF: Dr. Christian Parigger

Review of electrostatics, magnetostatics, and quasi-static problems; Maxwell’s field equations and their solutions in dielectric and conducting media; electrodynamics and relativity, retarded potentials and gauge transformations, radiation produced by accelerating charges.

(DE) Prerequisite(s): 571.