COMPUTATIONAL NUCLEAR PHYSICS
| Title | ΥΠΟΛΟΓΙΣΤΙΚΗ ΠΥΡΗΝΙΚΗ ΦΥΣΙΚΗ / COMPUTATIONAL NUCLEAR PHYSICS |
| Code | ΥΦΕ211 |
| Faculty | Sciences |
| School | Physics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Charalampos Moustakidis |
| Common | No |
| Status | Active |
| Course ID | 600021853 |
Programme of Study: PMS YPOLOGISTIKĪ FYSIKĪ 2025
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 7.5 |
Programme of Study: Computational Physics
Registered students: 6
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 7.5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600286344
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600286344
- At the Website of the School: https://pms.physics.auth.gr/comphys/lessons/ypologistiki-pyriniki-fysiki/
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Introductory knowledge in Nuclear and Atomic Physics. Knowledge in programming (Fortran, Mathematica, Python, etc.).
Learning Outcomes
Understanding of theoretical foundations: Students will understand the basic principles of Nuclear Physics and the computational models used to study the structure and reactions of nuclei.
Development of computational skills: They will be able to apply and adapt numerical methods (e.g., Monte Carlo, differential equation methods, diagonalization techniques) to problems in nuclear physics.
Design and execution of simulations: They will acquire the ability to develop and use code for simulating nuclear systems and analyzing data from theoretical and/or experimental frameworks.
Critical evaluation of results: They will be able to interpret and assess the accuracy and limitations of computational results and compare them with experimental data.
Research and communication skills: They will develop the ability to present computational models and results in a clear and scientifically substantiated manner, both in writing and orally.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to Theoretical Nuclear Physics
Introduction to numerical methods for problem solving
Solution of the Schrödinger equation in three-dimensional problems
Numerical solution of scattering problems in Nuclear Physics
Interaction matrix elements with applications in Nuclear Physics
Pairing interaction calculations in Nuclear Physics
Calculation of Clebsch–Gordan coefficients in Nuclear Physics
Numerical solution of the deuteron problem
Application of neural networks to nuclear mass calculations
Keywords
Nuclear Physics and Nuclear Astrophysics, Computational Physics
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 120 | ||||
| Laboratory Work | 40 | ||||
| Reading Assigment | 40 | ||||
| Written assigments | 22 | ||||
| Exams | 3 | ||||
| Total | 225 |
Student Assessment
Description
Report / Written Assignment (40%)
Students prepare an individual or group written report on a computational project or case study assigned by the instructor.
The goal is the systematic presentation of methodology, implementation, results, and critical analysis.
Evaluation is based on scientific rigor, clarity, documentation, and proper use of references.
Oral Examination (30%)
Conducted at the end of the semester.
Its purpose is to assess in-depth understanding of theory, numerical methods, and the physical interpretation of results.
The evaluation focuses on critical thinking, the ability to integrate knowledge, and problem-solving skills.
Public Presentation (30%)
Students present their report work to an academic audience (instructors and classmates).
The aim is to develop communication skills, clearly present scientific ideas, and be able to justify their choices during discussion/questions.
Evaluation criteria include structure, clarity, use of visual aids, and the ability to respond effectively to questions.
Student Assessment methods
- Written Assignment (Formative, Summative)
- Oral Exams (Formative, Summative)
- Performance / Staging (Formative, Summative)
Last Update
02-10-2025
