Management and Systems Analysis Laboratory

Recommended Prerequisites

Statistics and programming.

Teaching Methods

This curricular unit focuses on the development of modeling, communication, and visualization skills. The classes will present the concepts and theory for the comprehension and application of data-based methods and model-based decision-making, as well as, strategies and tools for communication and data visualization. Students will be led to the resolution of a semestral project by applying various software and programming languages (e.g., CPLEX, Python, R, Google Colab, Excel, Tableau).

Learning Outcomes

Develop skills in decision-making processes, based on data and supported by optimization models, in strategic and tactical problems, usually found in the contexts of production, operations and supply chains. It is intended that the student will be able to:

1. Know methodological aspects and define alternative strategies for solving complex problems;

2. Understand and implement advanced modeling tools;

3. Identify balanced solutions that consider management aspects and analytical issues;

4. Develop autonomous work skills through a learning experience focused on solving challenges.

To achieve these goals, students will be challenged to solve management problems and analysis of real systems as a team.

Work Placement(s)

No

Syllabus

1. Introduction of analytical thinking with support of data;

2. Resolution of comprehensive management and engineering problems with emphasis on data science and optimization modeling techniques.

3. Predictive and prescriptive analytics,

4. Machine learning methods,

5. Data visualization and storytelling with data.

6. Resolution of case studies focused on analytic problems faced by the manufacturing industry and supply chains.  

Assessment Methods

Assessment
Resolution Problems: 20.0%
Research work: 20.0%
Project: 60.0%

Bibliography

Provost, F., & Fawcett, T. (2013). Data science for business: What you need to know about data mining and data-analytic thinking. Sebastopol: O'Reilly.

Williams, H. P., & ebrary, Inc. (2013). Model building in mathematical programming. Hoboken, N.J: Wiley.

Knaflic, C. N. (2015). Storytelling with data: A data visualization guide for business professionals. Hoboken: Wiley.