Skip to content. Skip to main navigation.

avatar

Kendra L Wallis

Name

[Wallis, Kendra L]
  • Senior Lecturer, Department of Materials Science & Engineering
  • Assistant Professor of Instruction
 8172726514 701 S. Nedderman Dr (mailbox: 19059), Arlington, TX 76019
Last Updated: January 9, 2019

Biography

Dr. Wallis did her academic work in physics, earning a Bachelor of Science from West Texas A&M University in Canyon, Texas, in 1985. She earned a Master of Science from UTA in 1993 and earned a PhD in physics from Texas Christian University in 2008. After teaching physics for many years, she attended several conferences on engineering education where she became familiar with the problem solving course at UTA.

In 2017, Dr. Wallis joined the teaching faculty at UTA as a member of the Materials Science and Engineering Department. She enjoys teaching ENGR 1250 Engineering Problem Solving and is interested in helping students develop teamwork skills and become the best prospective engineer for employers. She attends research seminars in both materials science and physics and is a member of the Women's Faculty & Staff Network.

Professional Preparation

    • 2008 PhD in Condensed Matter Physics ,  University of Texas at Arlington  Texas Christian University

Appointments

    • Aug 2018 to Present Assistant Professor of Instruction
      none   College of Engineering
    • Aug 2017 to Present Senior Lecturer
      UTA College of Engineering Research Equipment Fund   UTA College of Engineering

Memberships

  • Membership
    • Aug 2017 to Present American Physical Society

Courses

      • ENGR 1250-002 PROBLEM SOLVING IN ENGINEERING

        Broad introduction to the profession of engineering and its different disciplines, through the process of applying the principles of mathematics to solve real-life engineering problems. Math topics are presented within the context of engineering applications and reinforced through examples from engineering courses. Also introduces algorithm development through the use of the engineering analysis software MATLAB. Prerequisite: C or better in MATH 1421 (or concurrent enrollment), MATH 1426 (or concurrent enrollment) or MATH 2425 (or concurrent enrollment).

        Spring - Regular Academic Session - 2019 Download Syllabus Contact info & Office Hours
      • ENGR 1250-008 PROBLEM SOLVING IN ENGINEERING

        Broad introduction to the profession of engineering and its different disciplines, through the process of applying the principles of mathematics to solve real-life engineering problems. Math topics are presented within the context of engineering applications and reinforced through examples from engineering courses. Also introduces algorithm development through the use of the engineering analysis software MATLAB. Prerequisite: C or better in MATH 1421 (or concurrent enrollment), MATH 1426 (or concurrent enrollment) or MATH 2425 (or concurrent enrollment).

        Spring - Regular Academic Session - 2019 Download Syllabus Contact info & Office Hours
      • ENGR 1250-009 PROBLEM SOLVING IN ENGINEERING

        Broad introduction to the profession of engineering and its different disciplines, through the process of applying the principles of mathematics to solve real-life engineering problems. Math topics are presented within the context of engineering applications and reinforced through examples from engineering courses. Also introduces algorithm development through the use of the engineering analysis software MATLAB. Prerequisite: C or better in MATH 1421 (or concurrent enrollment), MATH 1426 (or concurrent enrollment) or MATH 2425 (or concurrent enrollment).

        Spring - Regular Academic Session - 2019 Download Syllabus Contact info & Office Hours
      • ENGR 1250-010 PROBLEM SOLVING IN ENGINEERING

        Broad introduction to the profession of engineering and its different disciplines, through the process of applying the principles of mathematics to solve real-life engineering problems. Math topics are presented within the context of engineering applications and reinforced through examples from engineering courses. Also introduces algorithm development through the use of the engineering analysis software MATLAB. Prerequisite: C or better in MATH 1421 (or concurrent enrollment), MATH 1426 (or concurrent enrollment) or MATH 2425 (or concurrent enrollment).

        Spring - Regular Academic Session - 2019 Download Syllabus Contact info & Office Hours
      • ENGR 1250-002 PROBLEM SOLVING IN ENGINEERING

        Broad introduction to the profession of engineering and its different disciplines, through the process of applying the principles of mathematics to solve real-life engineering problems. Math topics are presented within the context of engineering applications and reinforced through examples from engineering courses. Also introduces algorithm development through the use of the engineering analysis software MATLAB. Prerequisite: C or better in MATH 1421 (or concurrent enrollment), MATH 1426 (or concurrent enrollment) or MATH 2425 (or concurrent enrollment). 

        Fall - Regular Academic Session - 2018 Download Syllabus Contact info & Office Hours