AIMS AND CONTENT

LEARNING OUTCOMES

This module is designed to provide the fundamental principles of the dynamic nature of environmental systems, and to provide students with basic conceptual tools for quantitative analysis of change for the most significant environmental problem areas. The module will provide the student with a unique combination of theoretical and conceptual basis for modelling environmental risks and sustainability, and hands-on knowledge on how to approach the modelling of complex environmental systems, often described as a system of systems with natural and anthropogenic interacting components.

AIMS AND LEARNING OUTCOMES

Course Objectives:

The course aims to provide students with a comprehensive understanding of the following concepts and applications:

1. Definition of discrete and continuous time systems.
2. Fundamental concepts of linear systems.
3. Analysis of water quality systems.
4. System identification in environmental contexts.
5. Simulation using Matlab and Simulink.
6. Exploration of additional examples of environmental systems.

Learning Outcomes:

Upon completion of the course, students will be able to:

1. Understand the differences between discrete and continuous time systems and apply associated concepts.
2. Analyze and solve problems related to linear systems using relevant techniques.
3. Evaluate and enhance water quality through the application of scientific and engineering principles.
4. Identify and characterize complex environmental systems using system identification methods.
5. Utilize Matlab and Simulink to efficiently simulate and analyze environmental systems.
6. Recognize and apply specific concepts and methodologies for environmental development project management.

Additional Competencies:

Additionally, students will develop:

• Advanced technical literacy skills.
• Enhanced personal development skills.
• Advanced interpersonal skills.
• Proficiency in advanced project development.
• Competence in foundational project management skills, promoted through the use of cooperative learning among peers.

PREREQUISITES

To enroll in the course, it is advisable to have a basic understanding of the following topics:

• Mathematics: Algebra, differential and integral calculus.
• Physics: Principles of mechanics and thermodynamics.
• System Theory: Concepts of system dynamics and transfer functions in continuous and discrete-time models.
• Programming: Basic knowledge of a programming language such as MATLAB.

These prerequisites are recommended to ensure a sufficient understanding of the concepts covered in the course and to maximize students' learning outcomes.

TEACHING METHODS

The course will employ a variety of teaching methods to ensure a comprehensive learning experience:

1. Theoretical Lessons and Exercises: Traditional classroom lectures and exercises will provide students with theoretical knowledge and opportunities to apply concepts in practice.

2. Group Projects: Students will engage in group projects related to environmental system analysis and simulation using Matlab and Simulink. This collaborative approach will foster teamwork and practical application of learned concepts.

3. Case Studies: Real-world case studies will be analyzed to provide practical insights into water quality systems and environmental project development.

4. Hands-on Workshops: Practical workshops will allow students to gain hands-on experience with system identification techniques and environmental modeling software.

5. Cooperative Learning: The course will emphasize cooperative learning among peers, encouraging students to work together in groups to solve problems and develop projects. This collaborative approach will enhance interpersonal skills and promote effective project development strategies.

SYLLABUS/CONTENT

This course provides fundamental knowledge in various aspects of environmental engineering, covering the following wide-ranging topics:

1. Definition of Discrete and Continuous Time Systems:

   • Introduction to the fundamental concepts and differences between discrete and continuous time systems.

2. Linear Systems:

   • Study of linear systems and their applications in environmental engineering.

3. Water Quality Systems:

   • Exploration of water quality systems, including principles of water treatment and pollution control.

4. System Identification:

   • Techniques for identifying and modeling environmental systems to understand their behavior and dynamics.

5. Other Examples of Environmental Systems:

   • Examination of additional examples of environmental systems, such as air quality monitoring and ecological modeling.

6. Simulation in Matlab and Simulink:

   • Hands-on experience with simulation techniques using Matlab and Simulink to analyze and model environmental systems.

Throughout the course, emphasis is placed on providing students with the fundamentals of each aspect, enabling them to develop a comprehensive understanding of environmental engineering principles and practices.

RECOMMENDED READING/BIBLIOGRAPHY

Marsili-Libelli, Stefano. Environmental systems analysis with Matlab®. CRC Press, 2018.

TEACHERS AND EXAM BOARD

Exam Board

ROBERTO SACILE (President)

ENRICO ZERO (President Substitute)

LESSONS

EXAMS

EXAM DESCRIPTION

Project and interview

Exam schedule