Donald House

 Donald House

Donald House

  • Courses2
  • Reviews8
May 1, 2018
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0


Mandatory



Difficulty
Clarity
Helpfulness

Good

This is a very easy course if you've already taken engineering calculus. Prof. House is very nice and fair. He's also very understanding. It was actually his first semester teaching the course.

May 1, 2018
N/A
Textbook used: No
Would take again: Yes
For Credit: Yes

0
0


Not Mandatory



Difficulty
Clarity
Helpfulness

Awful

Math class is easy if you've taken any calculus prior, very fair when it comes to working out your grade. Class was practically innumerate, not his fault.

Apr 29, 2018
N/A
Textbook used: No
Would take again: No
For Credit: Yes

0
0


Not Mandatory



Difficulty
Clarity
Helpfulness

Awful

Prof. House is the worst professor I've ever taken. He's such an understanding and nice man, but absolutely a mess. He doesn't know how to work ecampus. He constantly works out math wrong, and has no idea about it. Grade is hard to figure out because he only gives 6 quizzes and one cumulative final. I actually felt like I didn't learn a single thing. He's a nice man but a terrible teacher.

Biography

Texas A&M University College Station - Economics


Resume

  • 2000

    University of New Hampshire

    University of New Hampshire

  • 1992

    Texas A&M University

    Williams College

    Texas A&M University

    Associate Professor

    I was a founding member of the Department of Computer Science

    Williams College

    Clemson University

    Clemson

    SC

    Professor Emeritus

    former Chair of Visual Computing

    Coordinator of the MS in Visualization Program from 1992-2002

    Texas A&M University

  • 1986

    Rensselaer Polytechnic Institute

    Rensselaer Polytechnic Institute

  • 1980

    PhD

    My dissertation adviser was Michael Arbib

    Computer Science

  • 1973

    MS

    Electrical Engineering

    Rensselaer Polytechnic Institute

  • 1962

    BS

    Mathematics

  • C++

    Artificial Intelligence

    Algorithms

    Python

    Machine Learning

    Teaching

    Lecturing

    Linux

    High Performance Computing

    C

    Java

    Software Engineering

    Programming

    Higher Education

    LaTeX

    Computer Science

    3D visualization

    Distributed Systems

    OpenGL

    University Teaching

    House

    House

    Clemson University

ECMT 463

3.5(2)

ECON 323

2.7(6)