Logo UAB

Engineering Fundamentals for LSCM

Code: 44757 ECTS Credits: 6
2024/2025
Degree Type Year
4318306 Logistics and Supply Chain Management OB 1

Contact

Name:
Jose Luis Muņoz Gamarra
Email:
JoseLuis.Munoz.Gamarra@uab.cat

Teachers

Romualdo Moreno Ortiz

Teaching groups languages

You can view this information at the end of this document.


Prerequisites

None.


Objectives and Contextualisation

Understanding of what engineering is and the different aspects on problem solving.

Practical problem solving by the application of the appropriate methodology.

Learning and practicing of some aspects and methodologies applied to innovation application in problem solving.

Review basic concepts (statistics, probability, programming) that will ensure a solid base for the rest of the subjects of the master's degree.


Learning Outcomes

  1. CA08 (Competence) Devise a solution to a new problem from a scientific perspective by applying engineering methods to the problem-solving cycle.
  2. KA11 (Knowledge) Identify and define the basic principles behind solving engineering problems.
  3. SA12 (Skill) Analyse how to apply engineering and information technology tools to logistics.
  4. SA13 (Skill) Organise and allocate necessary material resources in order to fulfil a project's different tasks and needs.

Content

Theoretical sessions

Introduction to Engineering

Engineering as a profession

Obstacles and Tools in Problem Solving

Framework for Problem Solving in Engineering

Introduction to Project Management

Model-driven Design

Programming Fundamentals

Statistics & Probability Review

Introduction to Machine Learning

Innovation

Practical sessions

Introduction to Lego Mindstorms: general aspects and programming issues.

Project development following the Framework for Problem Solving

Definition phase

Exploration phase

Planning phase

Development phase

Oral project presentation

 


Activities and Methodology

Title Hours ECTS Learning Outcomes
Type: Directed      
Exercise sessions 8 0.32
Individual problem solving 20 0.8
Oral project presentations 2 0.08
Practical sessions 15 0.6
Project development 45 1.8
Self-study 30 1.2
Theoretical sessions 15 0.6
Tutorship sessions 8 0.32

Teaching will be offered on campus or in an on-campus and remote hybrid format depending on the number of

students per group and the size of the rooms at 50% capacity.

The general methodological approach of the course is based on the principle of multidiversity of strategies

which it is intended to facilitate the active participation and the construction of the learning process by the

student, under the principle of "learning by doing".

The proposed teaching methodology may undergo some modifications according to the restrictions imposed by

the health authorities on on-campus courses.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be

reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Assessment

Continous Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Continuous assesment in theory and problem lectures 40 0 0 CA08, KA11, SA12, SA13
Oral project presentation 20 7 0.28 CA08
Project development (report) 40 0 0 CA08, KA11, SA12, SA13

The assesment method has two main elements:

  • Continuous assesment in theory and problem lectures: Students are assessed by means of multiple problems proposed in class. Along the course they get more and better strategies to face these problems. Thus, their evolution is assessed.
  • Project development: A problem to solve will be proposed. Working in groups, the students have to design, plan and implement a solution to the problem following the problem solving framework presented in the theory lectures. A report containing the main aspects of the project development has to be written. Finally, an oral presentation of the work development and obtained results will be done.

In order to average all the evaluation activities, the mark of each of them must be above 5 points (out of 10). All the report-based activities must be submitted within the due dates specified by the professor. If a report-based activity is failed, the student will be asked to re-submit its report according to the corrections/indications provided by the professor. If the exam is failed, the student will have the opportunity to retake it. The dates for retaking an exam will be communicated to the student well in advance.

The student can submit to the recovery whenever it has been presented to a set of activities that represent a minimum of two thirds of the total grade of the subject.

The assessment method is the same for students who repeat the subject.

The weights of each evaluation activity are given in the table below.

The proposed evaluation activities may undergo some changes according to the restrictions imposed by the health authorities on on-campus courses.


Bibliography

Brockman, Jay B. Introduction to engineering: modeling and problem solving. John Wiley & Sons, Inc.,

2009.

Gómez, Alan G y otros. Engineering your future: a project-based introduction to engineering. Great

Lakes Press, Inc., 2006.

Lego Mindstorm Handbook.


Software

Lego Mindstorms


Language list

Name Group Language Semester Turn
(PAULm) Classroom practices (master) 1 English first semester morning-mixed
(PLABm) Practical laboratories (master) 1 English first semester morning-mixed
(TEm) Theory (master) 1 English first semester morning-mixed