Unit VETERINARY SURGICAL PATHOLOGY AND SEMEIOTICS

Course
Veterinary medicine
Study-unit Code
GP005378
Curriculum
In all curricula
Teacher
Antonio Di Meo
Teachers
  • Antonio Di Meo
Hours
  • 0 ore - Antonio Di Meo
CFU
0
Course Regulation
Coorte 2018
Offered
2021/22
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

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