96346 - Computer Science

Learning outcomes

At the end of the module the student has the basic knowledge on the following topics:systems of numeration, the four operations in binary basis. Elements of Boolean algebra and logical functions. The HW structure of a computer (CPU internal memory, mass memory, IO peripherals) and the SW (operating system and programs/apps). Basic principles of algorithms and programmimg. The student will also acquire knowledge of the main digital formats for images and 3D modeling software for medical applications.

Course contents

Introduction to Computer Science (CS) and its evolution:

• CS history and birth of Internet;
• introduction to Artificial Intelligence and its applications in Medicine

Representation of the Information:

• Encoding of numbers and numbering systems;
• The four operations in binary basis
• Digital coding of texts and images;

HW and SW structure of a computer;

Boolean algebra;

Programming and Algorithms;

Insights on personal utility tools (Microsoft Word/Excel/PowerPoint) (EXERCISE IT Lab.); Research data management (personal data protection; file protection).

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Section reserved to CdL Orthopedic Techniques:

Technologies for 3D modeling of anatomical structures;

Technologies and materials for additive printing in medicine;

Segmentation and 3D modeling software in the medical field;

Practical sessions of 3D design of customized devices (EXERCISES Computer Lab)

Readings/Bibliography

Course presentation slides uploaded by the professor to the university platforms

Teaching methods

Lectures supported by PowerPoint and videos. Interactive methods and exercises to encourage active student participation.

Assessment methods

Enrollment for the exam session is mandatory through AlmaEsami. The final assessment consists of a written exam made up of 16 multiple-choice questions, each worth 2 points, except for one question worth 1 point, for a maximum total score of 31. A score of 31/31 corresponds to a grade of 30 cum laude.

The questions cover the topics included in the course program and are designed to assess:

• the knowledge and understanding of the fundamental content;
• the capacity to use the acquired knowledge to address practical tasks and problem-solving exercises

The exam is considered passed with a score of 18/31 or higher.
The final score will be expressed on a 30-point scale (cum laude) and will be integrated into the overall calculation of the Integrated Course (PHYSICS, STATISTICS, AND COMPUTER SCIENCE) using a weighted arithmetic average based on the credits of each module.

Final grade scale

• 18–19/31 → Sufficient knowledge of the main course topics (correct answers: 9–10/16)
• 20–24/31 → Good knowledge of the contents (correct answers: 10–12/16)
• 25–28/31 → Broad and thorough knowledge of the subject (correct answers: 13–14/16)
• 29–31/31 → Complete and in-depth preparation (correct answers: 15–16/16)

Teaching tools

During the lectures, PowerPoint presentations and educational videos will be projected.
University computer workstations will also be made available for practical exercises using 3D modeling software.

Teaching materials considered useful for exam preparation or as supplementary resources will be uploaded to the university platforms or can be obtained directly from the professor.

Students with learning disabilities or temporary/permanent impairments are invited to contact the dedicated office (https://site.unibo.it/studenti-con-disabilita-e-dsa/it/per-studenti ) as early as possible in order to agree on appropriate compensatory measures.
The request must be submitted to the professor in advance (at least 15 days before the exam date), who will assess the suitability of the measures in light of the learning objectives

Office hours

See the website of Laura Cercenelli