Course Topics
Macroscopic and microscopic structure of homoxyl and heteroxyl timbers Main woodworking techniques Recognition and classification of defects in sawn timber

Teaching format
Educational field trips and laboratory exercises.

Educational objectives
The course is part of the core learning area of the professional Bachelor's degree in Wood Technologies. The student is expected to acquire knowledge and skills related to the macro- and microscopic identification of the main commercially important wood species, their physical and technical properties, and some elements of forest management. Knowledge and understanding: • D1.1 – Knowledge of the key concepts and technologies of data science disciplines • D1.2 – Understanding of the skills, tools and techniques required for an effective use of data science • D1.11 – Knowledge of the main algorithms for data analysis, and of elements of the complexity theory Applying knowledge and understanding: • D2.2 – Ability to address and solve a problem using scientific methods • D2.4 – Ability to develop programmes and use tools for the analysis and management of data and related infrastructures Making judgments • D3.2 – Ability to autonomously select the documentation (in the form of books, web, magazines, etc.) needed to keep up to date in a given sector Communication skills • D4.1 – Ability to use English at an advanced level with particular reference to disciplinary terminology. Learning skills • D5.3 – Ability to deal with problems in a systematic and creative way and to appropriate problem solving techniques.

Additional educational objectives and learning outcomes
Understanding the main elements of the forest-wood supply chain

Assessment
The assessment of students attending the course will be based on the time and effort dedicated during exercises and laboratory sessions. Students who are unable to attend the practical sessions will be required to submit a written assignment.

Evaluation criteria
Assessment PASS/FAIL. The assessment will be considered positive if the attention during the course, the commitment shown in the laboratory sessions, and the required readings are deemed satisfactory. In the event of non-attendance, a specifically prepared written assignment will be evaluated.