Everton Silva

Everton Silva

he/his/him

Ph.D. in Mathematics | Optimization

Teaching

Matemática Aplicada - Licenciatura em Marketing

Undergraduate course, Polytechnic Institute of Setúbal, Department of Economics and Management, 2025

Applied Mathematics — Bachelor’s in Marketing (45h) Role: Lecturer (theoretical and practical classes). Description: Delivered a foundational mathematics course for first-year Marketing students, emphasizing logical and analytical reasoning. The syllabus covered key topics in linear algebra and differential calculus essential for mathematical modelling, data analysis and problem-solving in economic and business contexts. Teaching combined structured lectures with practical sessions to develop students’ ability to apply mathematical tools to real-world marketing problems.

Introdução à Matemática - CTeSP

Undergraduate course, Polytechnic Institute of Setúbal, Department of Economics and Management, 2025

Introduction to Mathematics — Higher Technical Course in Logistics (Professional – 50h) Role: Lecturer and Course Coordinator (theoretical and practical classes). Description: Description: Provided a basic grounding in mathematics and descriptive statistics to prepare students for management practice. The course emphasized logical reasoning in management literature, practical analytical skills for decision-making, and the ability to interpret quantitative information in professional contexts.

Matemática - Licenciatura em Gestão da Distribuição e Logistica

Undergraduate course, Polytechnic Institute of Setúbal, Department of Economics and Management, 2025

Mathematics — Bachelor’s in Distribution and Logistics Management (60h) Role: Lecturer (theoretical and practical classes). Description: Designed and delivered problem-solving classes focused on integral calculus, linear algebra and formulation/solution of linear programming problems. Emphasized student-centered learning through active in-class problem solving and collaborative exercises. Adopted a blended teaching approach—combining traditional lectures with interactive activities and contemporary digital resources—to foster critical thinking and equip students with practical tools for academic and professional challenges.

Module of Multiobjective Linear Optimization of the Linear Optimization

Course part of the MSc. Program in Analysis and Engineering of Big Data, NOVA University of Lisbon, Department of Mathmatics, 2022

Role: Lecturer (master’s-level module – 8h) Description: Invited by Professor Jorge Orestes Cerdeira (retired Full Professor, Department of Mathematics, NOVA School of Science and Technology) to design and deliver a dedicated module on Linear Multiobjective Optimization as part of the existing Linear Optimization syllabus. Conceived and produced comprehensive teaching materials, including well-structured slide decks, problem sets, and self-assessment exercises. Employed an interactive, student-centered pedagogy that balanced rigorous theoretical exposition with hands-on computational practice. Designed a project in which students developed algorithms to solve real-world problems, such as diet planning and cost optimization, fostering applied understanding of complex mathematical concepts. This approach promoted active learning, independent thinking, and adaptability to diverse student learning styles.