Thomas Ressler

Associate Professor, DSCI / Ops Supply Chain Mgmt

thressler@stthomas.edu

(651) 962-4304

Minneapolis Campus
1000 LaSalle Ave
Terrence Murphy Hall 443A
Minneapolis, MN 55403

Ph.D., Operations Management, University of Minnesota
B.M.E., Mechanical Engineering, University of Minnesota
M.S., Industrial Engineering, University of Minnesota

See publications in UST Research Online

Tom Ressler has more than 34 years at St. Thomas and was one of the first tenured faculty members in what was then named the Graduate School of Management. Ressler has always been passionate about teaching and has been innovative with systems thinking and technology in the classroom. For more than 15 years he has been producing videos to aid in teaching. To date, Ressler has produced hundreds of teaching lessons on video (example http://www.youtube.com/watch?v=MWD5gyDqP_M).

Ressler's teaching philosophy is unique in that many students in his statistics courses would say "I think I'm in a philosophy course" as he takes a broader view of the mechanics of statistics and how it enables value-based decision making. He has been recognized for excellence in teaching by the University of St. Thomas, University of Minnesota and the University of Wisconsin.

In 1986, Ressler received a Kellogg Leadership Fellowship to study internationally. He used the opportunity to research how math problem solving is taught in other cultures and through his fellowship traveled around the world to countries including Japan, England, China, the Soviet Union, Ecuador, Peru, Spain, Germany and Hungry.

Ressler earned a B.S. in mechanical engineering, an M.S. in industrial engineering and a Ph.D. in operations research from the University of Minnesota.

Fall 2014 Courses
Fall 2014 Courses
Crs - Sec Title Days Time Location
OPMT 600 - 201 Stat.Methods for Dec. Making M - - - - - - 1800 - 2100 SCH 301
Description of course Stat.Methods for Dec. Making : CRN: 42846
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
OPMT 600 - 202 Stat.Methods for Dec. Making - T - - - - - 1800 - 2100 SCH 301
Description of course Stat.Methods for Dec. Making : CRN: 42847
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
J-Term 2015 Courses
J-Term 2015 Courses
Crs - Sec Title Days Time Location
Spring 2015 Courses
Spring 2015 Courses
Crs - Sec Title Days Time Location
OPMT 600 - 201 Stat.Methods for Dec. Making M - - - - - - 1800 - 2100 SCH 127
Description of course Stat.Methods for Dec. Making : CRN: 22108
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
OPMT 600 - 203 Stat.Methods for Dec. Making - - W - - - - 1800 - 2100 SCH 302
Description of course Stat.Methods for Dec. Making : CRN: 22110
This course provides students with a basic understanding of the role of statistics in the gathering of data, the creation of information and its use in decision-making. Students will learn methods for summarizing data, both numerically and graphically, and for drawing conclusions from sample data. Statistical analyses will be carried out using the computer and statistical software. The focus of the course is on how statistical methods can be placed on the design of statistical studies, collection of data, and the interpretation of results (rather than the details of computation). Prerequisite: None

Schedule Details

Location Time Day(s)
OPMT 640 - 366 Decision Making for Executives See Details * *
Description of course Decision Making for Executives : CRN: 22119
Registration is restricted to EXECUTIVE MBA students only.

Schedule Details

Location Time Day(s)
TMH 4600800-200009 Jan '15
TMH 4600800-200023 Jan '15
TMH 4600800-200013 Feb '15
TMH 3010800-200006 Mar '15
TMH 4600800-200010 Apr '15
TMH 4600800-200008 May '15
OPMT 746 - 365 Operations Management for Exec See Details * *
Description of course Operations Management for Exec : CRN: 22120
Registration is restricted to EXECUTIVE MBA students only.

Schedule Details

Location Time Day(s)
TMH 4010800-170009 Jan '15
TMH 4010800-170006 Feb '15
TMH 4010800-170017 Apr '15
TMH 4010800-170008 May '15
Academic and Professional Positions
  • Associate Professor, University of St. Thomas, St. Paul / Minneapolis (1995 - present)
  • Assistant Professor, University of St. Thomas, St. Paul / Minneapolis (1979 - 1995)

Publications
  • Gehlert, K. M., Ressler, T. H., Anderson, N., & Swanson, N. (2013). A method to improve the coach-participant match in executive coaching. The Coaching Psychologist, (9)(2), pp. 78-85
  • Gehlert, K., Ressler, T. H., & Baylon, D. (2013). Global challenges demand global education of systems thinking. Human Systems Management Journal, (32)(2),
  • Kumar, S., Polejewski, S. A., & Ressler, T. H. (2010). Leading cost accounting students on a journey from naive analysis to realistic analysis. Human Systems Management Journal, (29)(1), pp. 11-26
  • Kumar, S., Ressler, T. H., & Ahrens, M. E. (2009). Decision support model based on risk-return tradeoff for examining viability of a business venture. Journal of Revenue and Pricing Management, (8)(1), pp. 81-95
  • Kumar, S., Ressler, T. H., & Ahrens, M. E. (2007). Educating rational decision-makers about uncertainty using U.S. social security investment economics. Journal of Operational Research Society, (58), pp. 1294-1305
  • Kumar, S., Ressler, T. H., & Ahrens, M. E. (2005). Systems thinking, a consilience of values and logic. Human Systems Management Journal, (24)(4), pp. 259-274

Research Interests
  • Information Technology
  • Operations
  • Quality Management
  • Risk Management
  • Statistics
  • Technology in Teaching

Presentations
  • "'Teaching Graduate Students to Think Systemically: Using Grounded Theory to Analyze and Process Data'" Midwest Qualitative Research Conference, Mpls, MN, June 01, 2009
  • "Learning Objects." Midwest Academy of Management, January 01, 2004