Statistical Engineering – Student Outcomes

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

Criteria
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.

Criteria
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.

Criteria
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.
Interpreta fenómenos naturales y/o artificiales para conocer las leyes probabilísticas fundamentales que los gobiernan.
Apply knowledge of sciences and engineering for solving real-world statistical engineering problems.

4. Experimentation and Testing

Conceive and conduct experiments and tests, analyze data and interpret results.

Criteria
Determine objectives and restrictions of the experiment or test to be performed.
Identifica y recopila información relevante de experimentos o pruebas similares.
Determine the required equipment, tools and software applications according to the experiment or test to be done.
Discriminate the relevant variables of an experiment, relating, measuring and quantifying them, and determining their tolerances.
Analyze and process data and results using proper concepts and criteria.
Use the scientific method for developing experiments, design and research projects.

5. Modern Engineering Practice

Use and apply techniques, methods and tools of modern engineering necessary for the practice of statistical engineering.

Criteria
Use equipment, instruments and software typical of professional practice.
Apply modern techniques and methods for the analysis, design, integration and management of statistical systems and processes.
Apply up-to-date standards, norms and criteria for the practice of statistical engineering.

6. Engineering Impact

Understand the impact of statistical engineering solutions on people and society in local and global contexts.

Criteria
Recognize the role of statistical engineering on the progress of society and the wellbeing of people.
Identify and appraise the economical and social benefits of statistical engineering works.
Recognize the importance of statistical engineering for the creation and innovation of products and processes.
Understand the role of statistical engineering in risk prevention and disaster mitigation.

7. Project Management

Determine the budgets, schedules and feasibility of engineering projects, and participate in its management for the attainment of goals.

Criteria
Formulate the objectives and restrictions of an engineering project and propose strategies for implementation.
Identify the required resources and their costs and estimate the budget of statistical engineering projects.
Determine the scope of a project, its activities and priorities, and propose execution and control schedules.
Determine the technical and economical feasibility of an engineering project as well as its social and environmental viability.
Formulate indicators and ratios for monitoring the proper implementation of the project.

8. Environmental Appraisal

Take into account the importance of preserving and improving the environment in the development of their personal and professional activities.

Criteria
Promote the use of materials, technologies and processes that are environmentally adequate.
Make a rational use of natural resources understanding their importance in the life of people and society.
Participates in activities and campaigns for environment and ecosystems conservation and improvement.
Promote the sustainable development in their professional activities and apply norms of environmental management.

9. Lifelong Learning

Recognize the need to keep their knowledge and skills up-to-date according to advances of statistical engineering, and engage in lifelong learning.

Criteria
Identify relevant areas for the development of their professional career.
Keep themselves up to date on new tendencies and technologies of statistical engineering as well as their diverse applications.
Be autonomous in their learning process.
Be part of research groups and students branches of professional associations.
Attend and participate in events of professional development.


10 . Contemporary Issues

Know and analyze relevant contemporary issues in local, national and global contexts.

Criteria
Be informed and emit opinion about the main social, economical and political facts in local and global contexts.
Understand relevant social and economical issues affecting his/her professional career and working environment.

11. Ethical and Professional Responsibility

Evaluate their decisions and actions from a moral perspective and assume responsibility for the executed projects.

Criteria
Anticipate the implications of their decisions as well as the results of their actions and projects
Appraise the punctual and responsible fulfillment of their personal and professional duties.
Take into consideration community interests and the social benefit.
Know and act according to the professional code of ethics.

12. Communication

Communicate clearly and effectively in oral, written and graphical formats, interacting with different types of audiences.

Criteria
Express their ideas clearly and concisely using the adequate technological support.
Elaborate clear and precise technical documentation using norms, symbology and terminology proper of statistical engineering.
Adjust their speech according to the type of audience for getting a proper understanding and interpretation.
Read technical documentation in English.

13. Teamworking

Appraise the importance of teamworking and participate actively and effectively in multidisciplinary teams.

Criteria
Can perform as leader or active member of a working team effectively participating to achieve the proposed goals and results.
Propose and accepts ideas conducting to the achievement of objectives and results.
Appraise the differences of opinion, is tolerant and respect agreements.

 

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Aprobado el 25 de junio de 2015.

Comisión de Acreditación