Statistical Engineering Program
Evaluation of Attainment of Student Outcomes
Alumni Survey
Attainment Level of Student Outcomes
We thank you for completing the survey taking into account the following rating scale:

5. Very Good. Outstanding performance. Extraordinary fulfillment of requirements.
4. Good. Good performance. Fulfillment of requirements.
3. Regular. No good, no bad. Partial fulfillment of requirements.
2. Bad Poor, incomplete and inferior. Not focus on the problem.
1. No opinion. Does not apply.

Name *
1 Engineering Design
Design, evaluate and optimize statistical processes and systems, satisfying requirements and needs, as well as given technical, economic, social and legal constraints *
5
4
3
2
1
Interpret requirements and needs and translate them into the formulation of a statistical engineering project.
Formulate and analyze the specifications of a design project considering technical variables, as well as realistic economical, social, legal and environmental restrictions.
Propose and evaluate solution alternatives to select the most adequate satisfying requirements and constraints
Present and describe the solution through specifications, planes, maps, graphs, engineering drawings, diagrams and virtual simulations.
Propose the process to implement the solution.
2. Problem Solving
Identify, formulate and solve engineering problems properly using the methods, techniques and tools of statistical engineering. *
5
4
3
2
1
Identify and diagnose problems and prioritize them according to their impact and relevance.
Propose adequate and realizable solutions using appropriate norms and standards.
Use techniques and methodologies of statistical engineering to describe, analyze and solve engineering problems.
Operate and use equipment, instruments and software required for statistical engineering practice.
Take into account safety measures in the practice of engineering.
3. Sciences Application
Apply the knowledge and skills of mathematics, sciences and engineering to solve statistical engineering problems. *
5
4
3
2
1
Identify the relevant variables of a system, define their metrics and formulates dependence relationships.
Apply mathematical models for analyzing, simulating, predicting and optimizing the performance and outcomes of statistical processes, systems and components.
Apply knowledge of sciences and engineering for solving real-world statistical engineering problems.