MARK ALLAN FEHLBERG portrait
  • Director of Graduate Studies, Mechanical Engineering Department , Mechanical Engineering
  • Assistant Professor (Lecturer), Mechanical Engineering
801-585-9293

Current Courses

Spring 2023

  • ME EN 5035-001
    Design of Experiments
    Location: WEB 1250 (WEB 1250)
  • ME EN 6035-001
    Design of Experiments
    Location: WEB 1250 (WEB 1250)
  • ME EN 6981-001
    Faculty Consult - CPT
  • ME EN 7990-001
    Cont Registration, PhD

Fall 2022

Summer 2022

Courses I Teach

  • ME EN 1000 - Intro to Mechanical Design for Engineering Systems
    Introduction to design in the field of mechanical engineering with focus on the following topics: computer aided design modeling, engineering design methodology, the creative design process, prototyping using custom 3D printed parts, and engineering analysis of simple mechanical systems. The semester culminates with a final design project where students work in teams to design, fabricate, test, and analyze a mechanical system.
  • ME EN 2030 - Dynamics
    Kinematics and kinetics of particles and rigid bodies, including: position, velocity, acceleration, moving frames of reference, Newton's laws, conservation of energy and momentum, impact, and an introduction to vibrations.
  • ME EN 2550 - Applied Probability and Statistics for Engineers
    The purpose of this course is to introduce mathematical concepts and statistical methods used in modern engineering analysis. The goal is to introduce students to analytical and numerical tools that can be used to solve real world engineering problems. Lectures will be supplemented by several programming exercises using R and/or Matlab, and a large number of practical examples on relevant engineering topics. This course covers the role of statistics in engineering, probability theory and distributions, continuous random variables, random sampling, data description, and statistical analyses or a single sample, and common hypothesis testing.
  • ME EN 5035 - Design of Experiments
    The purpose of this course is to introduce mathematical concepts and statistical methods used in modern engineering problem solving and analysis. The goal is to introduce students to analytical and numerical tools to design experiments to effectively and efficiently solve real-world engineering problems. Lectures will be supplemented by several programming exercises using R, and a large number of practical examples on relevant engineering topics related to design of experiments and data analysis. The use of experimental designs is a prescription for successful application of the scientific method. The scientific method consists of iterative application of the following steps: (1) observing a selected state, (2) hypothesizing the mechanism for what has been observed, then (3) collecting data, and (4) analyzing data to draw valid conclusions. Statistical experimental designs provide a plan for collecting data in a way that they can be analyzed statistically to corroborate the hypothesis in question. This is an organized approach which helps to avoid false starts and incomplete or invalid answers to research questions.
  • ME EN 5130 - Design Implications for Human-Machine Systems
    Course addresses Human Factors Engineering aspects of design and implications on system performance. Various aspects of human interaction with systems, both simple (hand tools) and complex (piloting an aircraft) will be addressed. Course will emphasize human factors engineering principles and the often catastrophic results of poor design with respect to humans in the system. Physical ergonomics (cumulative trauma disorders and biomechanics) will be addressed briefly. These topics are covered in more depth in ME EN 6100 Ergonomics and ME EN 7100 Advanced Ergonomics.
  • ME EN 5205 - Systems Dynamics
    Model and simulate the dynamics of advanced mechatronic systems consisting of a variety of energy domains (mechanical, electrical, magnetic, hydraulic, thermofluidic). Students will learn to use Bond Graph techniques and state space formulation for linear and nonlinear systems. Primary topics include introduction to power and energy variable, constitutive modeling of multi-port energy storage and transducing elements, power flow and causality, and derivation and simulation of state space equations. Hands- on recitation exercises in class allow students to practice modeling techniques on a variety of mechatronic devices. For a final project, students will model and simulate a complex dynamic system.
  • ME EN 5410 - Intermediate Dynamics
    Review of basic dynamics, transformation of coordinate systems, rotating coordinate systems, Lagrange methods, Euler's equations, and dynamics of machinery.
  • ME EN 6035 - Design of Experiments
    The purpose of this course is to introduce mathematical concepts and statistical methods used in modern engineering problem solving and analysis. The goal is to introduce students to analytical and numerical tools to design experiments to effectively and efficiently solve real-world engineering problems. Lectures will be supplemented by several programming exercises using R, and a large number of practical examples on relevant engineering topics related to design of experiments and data analysis. The use of experimental designs is a prescription for successful application of the scientific method. The scientific method consists of iterative application of the following steps: (1) observing a selected state, (2) hypothesizing the mechanism for what has been observed, then (3) collecting data, and (4) analyzing data to draw valid conclusions. Statistical experimental designs provide a plan for collecting data in a way that they can be analyzed statistically to corroborate the hypothesis in question. This is an organized approach which helps to avoid false starts and incomplete or invalid answers to research questions.
  • ME EN 6130 - Design Implications for Human-Machine Systems
    Course addresses Human Factors Engineering aspects of design and implications on system performance. Various aspects of human interaction with systems, both simple (hand tools) and complex (piloting an aircraft) will be addressed. Course will emphasize human factors engineering principles and the often catastrophic results of poor design with respect to humans in the system. Physical ergonomics (cumulative trauma disorders and biomechanics) will be addressed briefly. These topics are covered in more depth in ME EN 6100 Ergonomics and ME EN 7100 Advanced Ergonomics.
  • ME EN 6205 - System Dynamics
    Model and simulate the dynamics of advanced mechatronic systems consisting of a variety of energy domains (mechanical, electrical, magnetic, hydraulic, thermofluidic). Students will learn to use Bond Graph techniques and state space formulation for linear and nonlinear systems. Primary topics include introduction to power and energy variable, constitutive modeling of multi-port energy storage and transducing elements, power flow and causality, and derivation and simulation of state space equations. Hands- on recitation exercises in class allow students to practice modeling techniques on a variety of mechatronic devices. For a final project, students will model and simulate a complex dynamic system.
  • ME EN 6410 - Intermediate Dynamics
    Review of basic dynamics, transformation of coordinate systems, rotating coordinate systems, Lagrange methods, Euler's equations, and dynamics of machinery.
  • ME EN 6890 - Mechanical Engineering Graduate Student Seminar
    This seminar is designed for first-year graduate students in mechanical engineering. Topics focus on department and university resources, as well as conducting, reporting, and evaluating scientific research.
  • ME EN 6981 - Faculty Consultation-Curricular Practical Training
    International Mechanical Engineering graduate students must register for ME EN 6981 for the semester in which they participate in a cooperative work experience for curricular practical training (CPT), on-the-job cooperative education.
  • ME EN 7990 - Continuing Registration
    Continuing registration for Ph.D. students.