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Paul Tarau

Title
Professor
Department
Computer Science and Engineering
College
College of Engineering

Education

PhD, Université de Montreal, 1990.
Major: Computer Science
MS, Université Laval (Quebec), 1986.
Major: Computer Science
BS, University of Bucharest, 1975.
Major: Mathematics

Current Scheduled Teaching*

CSCE 5450.001, Programming Languages, Spring 1 2019
CSCE 5450.600, Programming Languages, Spring 1 2019
CSCE 4430.001, Programming Languages, Fall 1 2018 Syllabus

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

CSCE 5450.001, Programming Languages, Spring 2018
CSCE 5450.600, Programming Languages, Spring 2018
CSCE 5430.001, Software Engineering, Fall 2017
CSCE 5430.600, Software Engineering, Fall 2017
CSCE 5450.001, Programming Languages, Spring 2017
CSCE 6950.734, Doctoral Dissertation, Fall 2016
CSCE 5400.001, Formal Languages, Automata and Computability, Fall 2016
CSCE 5400.600, Formal Languages, Automata and Computability, Fall 2016 Syllabus
CSCE 4430.002, Programming Languages, Fall 2016 Syllabus SPOT
CSCE 6950.734, Doctoral Dissertation, Summer 10W 2016
CSCE 6950.734, Doctoral Dissertation, Spring 2016
CSCE 6950.734, Doctoral Dissertation, Fall 2015
CSCE 6940.734, Individual Research, Fall 2015
CSCE 6950.734, Doctoral Dissertation, Spring 2015
CSCE 6940.734, Individual Research, Spring 2015
CSCE 3030.001, Parallel Programming, Spring 2015 Syllabus
CSCE 4430.001, Programming Languages, Spring 2015 Syllabus
CSCE 6950.734, Doctoral Dissertation, Fall 2014
CSCE 6940.734, Individual Research, Fall 2014
CSCE 5160.001, Parallel Processing and Algorithms, Fall 2014
CSCE 5450.001, Programming Languages, Fall 2014
CSCE 6940.734, Individual Research, Summer 10W 2014
CSCE 2100.002, Computing Foundations I, Spring 2014 Syllabus
CSCE 6940.734, Individual Research, Spring 2014
CSCE 5450.001, Programming Languages, Spring 2014
CSCE 6933.002, Advanced Topics in Computer Science and Engineering, Fall 2013
CSCE 5150.002, Analysis of Computer Algorithms, Fall 2013
CSCE 6940.734, Individual Research, Fall 2013
CSCE 5290.001, Natural Language Processing, Fall 2013
CSCE 4930.005, Topics in Computer Science and Engineering, Fall 2013 Syllabus
CSCE 6940.734, Individual Research, Spring 2013
CSCE 4430.001, Programming Languages, Spring 2013 Syllabus
CSCE 5450.001, Programming Languages, Spring 2013
CSCE 4444.001, Software Engineering, Spring 2013 Syllabus
CSCE 6933.004, Advanced Topics in Computer Science and Engineering, Fall 2012
CSCE 6940.734, Individual Research, Fall 2012
CSCE 3210.001, Symbolic Processing, Fall 2012 Syllabus
CSCE 6940.734, Individual Research, Summer 5W2 2012
CSCE 6940.734, Individual Research, Summer 3W1 2012
CSCE 4930.021, Topics in Computer Science and Engineering, Summer 3W1 2012
CSCE 5933.021, Topics in Computer Science and Engineering, Summer 3W1 2012
CSCE 5934.734, Directed Study, Spring 2012
CSCE 6940.734, Individual Research, Spring 2012
CSCE 4430.001, Programming Languages, Spring 2012 Syllabus
CSCE 5430.001, Topics in Software Engineering, Spring 2012
CSCE 6933.001, Advanced Topics in Computer Science and Engineering, Fall 2011
CSCE 5950.734, Master's Thesis, Fall 2011
CSCE 5420.001, Software Development, Fall 2011
CSCE 5950.734, Master's Thesis, Summer 10W 2011
CSCE 5170.001, Graph Theory, Spring 2011
CSCE 4430.001, Programming Languages, Spring 2011 Syllabus
CSCE 6933.003, Advanced Topics in Computer Science and Engineering, Fall 2010
CSCE 5934.734, Directed Study, Fall 2010
CSCE 5950.734, Master's Thesis, Fall 2010
CSCE 5450.001, Programming Languages, Fall 2010
CSCE 5950.734, Master's Thesis, Spring 2010
CSCE 3600.002, Principles of Systems Programming, Spring 2010
CSCE 5900.734, Special Problems, Spring 2010
CSCE 5430.001, Topics in Software Engineering, Spring 2010
CSCE 4890.734, Directed Study, Fall 2009
CSCE 5934.734, Directed Study, Fall 2009
CSCE 4430.001, Programming Languages, Fall 2009
CSCE 5450.001, Programming Languages, Fall 2009
CSCE 5420.001, Software Development, Fall 2009
CSCE 5900.734, Special Problems, Fall 2009
CSCE 5934.734, Directed Study, Summer 10W 2009
CSCE 5950.734, Master's Thesis, Summer 10W 2009
CSCE 5934.734, Directed Study, Spring 2009
CSCE 5950.734, Master's Thesis, Spring 2009
CSCE 4430.001, Programming Languages, Spring 2009
CSCE 5450.001, Programming Languages, Spring 2009
CSCE 5430.002, Topics in Software Engineering, Spring 2009
CSCE 4430.001, Programming Languages, Fall 2008
CSCE 5450.001, Programming Languages, Fall 2008
CSCE 5420.001, Software Development, Fall 2008
CSCE 5934.734, Directed Study, Summer 10W 2008
CSCE 5900.734, Special Problems, Summer 10W 2008
CSCE 4430.001, Programming Languages, Spring 2008
CSCE 5450.001, Programming Languages, Spring 2008
CSCE 5430.002, Topics in Software Engineering, Spring 2008
CSCE 4430.001, Programming Languages, Fall 2007
CSCE 5450.001, Programming Languages, Fall 2007
CSCE 5420.001, Software Development, Fall 2007
CSCE 5210.001, Artificial Intelligence, Spring 2006
CSCE 4890.734, Directed Study, Spring 2006
CSCE 5934.734, Directed Study, Spring 2006
CSCE 5450.001, Programming Languages, Spring 2006
CSCE 5934.734, Directed Study, Fall 2005
CSCE 5950.734, Master's Thesis, Fall 2005
CSCE 4430.002, Programming Languages, Fall 2005
CSCE 5450.001, Programming Languages, Fall 2005
CSCE 5900.734, Special Problems, Fall 2005
CSCI 5890.734, Directed Study, Summer 10W 2005
CSCI 5410.001, Artificial Intelligence, Spring 2005
CSCI 4890.734, Directed Study, Spring 2005
CSCI 4300.001, File Organization and Processing, Spring 2005
CSCI 5950.734, Master's Thesis, Spring 2005
CSCI 5890.734, Directed Study, Fall 2004
CSCI 6940.734, Individual Research, Fall 2004
CSCI 4410.002, Introduction to Artificial Intelligence, Fall 2004
CSCI 5950.734, Master's Thesis, Fall 2004
CSCI 6900.734, Special Problems, Fall 2004
CSCI 4250.001, Survey of Computer Languages, Fall 2004

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

,
Overall
Summative Rating
1
Challenge and
Engagement Index
2
Response Rate
0
out of 5
0
out of 7
%
of
students responded
A Challenge and Engagement Index of "n/a" means
there were not enough student responses to calculate a score.
  • 1 Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • 2 Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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