Computational Physics

Code:

FIS2018

Acronym:

FIS2018

Keywords
Classification	Keyword
OFICIAL	Physics

Instance: 2023/2024 - 2S

Active?	Yes
Responsible unit:	Department of Physics and Astronomy
Course/CS Responsible:	Bachelor in Engineering Physics

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
L:B	2	Official Study Plan	3	-	6	48	162
L:CC	0	study plan from 2021/22	2	-	6	48	162
			3
L:EF	117	study plan from 2021/22	2	-	6	48	162
L:F	78	Official Study Plan	2	-	6	48	162
L:G	0	study plan from 2017/18	2	-	6	48	162
			3
L:M	3	Official Study Plan	2	-	6	48	162
			3
L:Q	0	study plan from 2016/17	3	-	6	48	162

Teaching language

Suitable for English-speaking students

Objectives

The students will be introduced to a set of computational methods and to its application in several fields of Physics and Engineering.

Learning outcomes and competences

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

General knowledge of Mathematics and Physics.

Program

Mandatory literature

Newman Mark E. J.; Computational physics. ISBN: ISBN: 978-1-4801-4551-1
Gould Harvey; An introduction to computer simulation methods. ISBN: 0-201-50604-1
Chapra Steven C.; Numerical methods for engineers. ISBN: 0-07-010664-9

Teaching methods and learning activities

Lectures and computing lab classes for hands-on solution of problems to be solved with the numerical methods taught in class.

Software

Python, matplotlib, numpy, scipy, jupyter notebook
C++, Eigen

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Trabalho escrito	15,00
Teste	5,00
Exame	80,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Estudo autónomo	106,00
Frequência das aulas	56,00
Total:	162,00

Eligibility for exams

Students must attend 3/4 of scheduled lab classes.

Calculation formula of final grade

The student should choose at the beginning of the semester his model of evaluation:

• Contínuous assessment:




• Two Homeworks (15%).


• One test in Moodle (5%).


• Exam (80%).




• Assessment by exam:




• One exam (100%).

Examinations or Special Assignments

Internship work/project

Special assessment (TE, DA, ...)

Classification improvement

It is only possible to improve the grade of the exam.

Observations

Students who obtain more than 16 values must defend the grade in additional test.

The jury is: