Code: | L.EMAT029 | Acronym: | IO |
Keywords | |
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Classification | Keyword |
OFICIAL | Management |
Active? | Yes |
Web Page: | https://sites.google.com/view/inv-op |
Responsible unit: | Department of Industrial Engineering and Management |
Course/CS Responsible: | Bachelor in Materials Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
L.EMAT | 24 | Syllabus | 3 | - | 6 | 52 | 162 |
This course focuses on the application of analytical methods to take better decisions and provides students with tools for modelling and optimization that will be very useful in various roles in several types of organizations (industry and services).
The main objective of this course is, through the creation of models, develop skills for analysing a wide range of real situations. These competencies are based on the ability to recognize the key problem in a non-structured situation, on the ability to develop a framework for analysing and treating the problem and on the application of analytical methods for its resolution.
Endow the students with the skills to:
This course will contribute to the acquisition, by the students, of the following CDIO competencies:
1. Technical Knowledge and Reasoning
1.1. Acquire proficiency with the necessary knowledge of basic sciences and be able to use them in the formulation, discussion and resolution of problems of their area;
The contents of the course unit build on knowledge of Algebra, Mathematical Analysis and Probabilities and Statistics, organizing them, developing them and applying them in a context of decision support. By nature this knowledge is transversal to all areas of Engineering and belongs to its basic sciences. Throughout the classes there is a concern to use examples and case studies from the scientific area of each course, bridging the gap between the basic sciences and area of the degree.
The assessment in the course addresses these skills.
2. Personal and Professional Skills and Attitudes
2.1. Engineering reasoning and problem solving
2.1.1 problem identification and formulation
2.1.2 modelling
2.1.3 estimation and qualitative analysis
2.1.4 analysis with uncertainty
2.1.5 solution and recommendation
Exactly these points can describe the teaching methodology and the contents of this course. Thus, the formulation of problems according to each of the models studied throughout the course, their modelling and resolution are an on-going activity. The qualitative analysis is addressed in the sensitivity analysis, while uncertainty is addressed in Queueing Theory and in Decision Theory.
The assessment in the course addresses these skills.
2.2 Experimentation and knowledge discovery
2.2.1 hypothesizing
2.2.2 literature search
2.2.3 Experimental investigation
2.2.4 test and defence of hypotheses
2.3 systemic thinking
2.3.1 holistic thinking
2.3.2 emergency and interaction between systems
2.3.3 prioritization and focus
2.3.4 trade-offs, judgment and balancing the resolution
These skills are addressed indirectly, and may be more directly described as:
(1) analysis competencies - ability to conceptualize, formulate and solve unfamiliar problems;
(2) project competencies - ability to address with creativity, unfamiliar, complex and technically uncertain problems;
(3) research competencies - ability to model and evaluate the applicability of emerging techniques (description of the criteria according to Euro-ACE).
Problem design and modelling, involving the identification of the applicable family of models and the development and evaluation of original models, clearly contributes to these skills. The topics related with sensitivity analysis contribute to the understanding of concepts related to trade-offs and balancing.
The assessment in the course addresses these skills.
The learning objectives are related to the competencies (knowledge, skills and attitudes that students should have) and are expressed as statements about things that students should be able to explain, calculate, deduct, design, etc ...
For all program topics, detailed learning objectives are available from the web site, along with educational materials to support learning.
Basic courses in algebra, statistics and probability theory.
Designation | Weight (%) |
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Teste | 100,00 |
Total: | 100,00 |
Designation | Time (hours) |
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Estudo autónomo | 110,00 |
Frequência das aulas | 52,00 |
Total: | 162,00 |