Unit VETERINARY SURGICAL PATHOLOGY AND SEMEIOTICS
- Course
- Veterinary medicine
- Study-unit Code
- GP005378
- Curriculum
- In all curricula
- Teacher
- Antonio Di Meo
- CFU
- 0
- Course Regulation
- Coorte 2019
- Offered
- 2022/23
- Learning activities
- Caratterizzante
- Area
- Discipline cliniche veterinarie
- Academic discipline
- VET/09
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Reference texts
- Educational objectives
- Prerequisites
- in order to understand the content covered in teaching is important to having supported the examination of veterinary General pathology
- Teaching methods
- Other information
- The theoretical lessons will be supplemented by practical exercises at the veterinary teaching hospital
- Learning verification modality
- The exam includes a cumulative oral exam for the modules of Surgical Pathology, Surgical Semeiotics and Veterinary Radiology.
The test consists of a discussion of about 45 minutes with the candidate, including one or more questions for each module (open stimulus with open answer). The oral exam includes the possibility of taking an optional exemption on the program of the surgical pathology module, which is valid for one year, with an evaluation of thirty. The final evaluation of the oral exam will be processed as an average of the tests performed.
ASSESSMENTS
Evaluation from sufficient to mediocre (vote 18-22)
Requirements:
1. Basic knowledge of surgical pathology, surgical semeiotics and veterinary radiology.
2. Use of basic medical terminology.
3. Ability to understand the teacher's questions.
Good to very good evaluation (vote 23-27)
Requirements:
1. Knowledge of the pathogenesis of lesions.
2. Knowledge of the correct semiological methodology.
3. Knowledge of the principles of radiology and ability to interpret radiographic images.
4. Display autonomy
5. Language properties
6. Ability to make connections.
Evaluation from excellent to excellent (vote from 28-30)
Requirements:
1. Autonomy in connections.
2. Construction of a diagnostic algorithm with indication of the applied techniques. - Extended program