Programmation scientifique
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.00120 Languages French Type of lesson Lecture
Level Bachelor Semester SA-2024 Title
French Programmation scientifique German Wissenschaftliches Programmieren English Scientific programming Schedules and rooms
Summary schedule Tuesday 15:15 - 17:00, Hebdomadaire (Autumn semester)
Tuesday 17:15 - 19:00, Hebdomadaire (Autumn semester)
Struct. of the schedule 2+2h par semaine durant 14 semaines Contact's hours 56 Teaching
Responsibles - Cudré-Mauroux Philippe
Teachers - Hennebert Jean
Description Les aspects suivants des logiciels programmables seront étudiés dans ce cours:
• introduction aux environnements programmables
• notions de bases: expression, variable, affectation
• traitements graphiques
• calcul numérique
• calcul symbolique
• structures de données simples
• récursivité
• instructions de contrôle
• résolutions de problèmes dans PythonTraining objectives Au terme de ce cours les étudiants auront acquis les compétences suivantes:
• être apte à effectuer des calculs scientifiques, dans des domaines comme l'analyse, l'algèbre linéaire et les statistiques
• avoir une bonne connaissance des fonctionnalités de Python
• être apte à produire des illustrations graphiques
• maîtriser les concepts élémentaires de la programmation : variables, fonctions, structures de données et structures de contrôle
• être apte à résoudre des problèmes numériques représentatifs de leur domaineComments Les unités d’enseignement se composent généralement de deux heures de cours et deux heures d’exercices par semaine. Nous vous prions de bien vouloir vous conformer aux délais d’inscriptions aux épreuves de la Faculté des sciences et de médecine.
Softskills No Off field No BeNeFri Yes Mobility Yes UniPop No -
Dates and rooms
Date Hour Type of lesson Place 17.09.2024 15:15 - 17:00 Cours 17.09.2024 17:15 - 19:00 Exercice 24.09.2024 15:15 - 17:00 Cours 24.09.2024 17:15 - 19:00 Exercice 01.10.2024 15:15 - 17:00 Cours 01.10.2024 17:15 - 19:00 Exercice 08.10.2024 15:15 - 17:00 Cours 08.10.2024 17:15 - 19:00 Exercice 15.10.2024 15:15 - 17:00 Cours 15.10.2024 17:15 - 19:00 Exercice 22.10.2024 15:15 - 17:00 Cours 22.10.2024 17:15 - 19:00 Exercice 29.10.2024 15:15 - 17:00 Cours 29.10.2024 17:15 - 19:00 Exercice 05.11.2024 15:15 - 17:00 Cours 05.11.2024 17:15 - 19:00 Exercice 12.11.2024 15:15 - 17:00 Cours 12.11.2024 17:15 - 19:00 Exercice 19.11.2024 15:15 - 17:00 Cours 19.11.2024 17:15 - 19:00 Exercice 26.11.2024 15:15 - 17:00 Cours 26.11.2024 17:15 - 19:00 Exercice 03.12.2024 15:15 - 17:00 Cours 03.12.2024 17:15 - 19:00 Exercice 10.12.2024 15:15 - 17:00 Cours 10.12.2024 17:15 - 19:00 Exercice 17.12.2024 15:15 - 17:00 Cours 17.12.2024 17:15 - 19:00 Exercice -
Assessments methods
Written exam
Assessments methods By rating Descriptions of Exams Selon modalité A de l'annexe du plan d'études en informatique -
Assignment
Valid for the following curricula: Medien und Informatik 50 [BSc/BA SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Medien und Informatik 50 ECTS, 1st-3rd years > Propaedeutic informatics (from SA2018 on)
Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Initiation courses in Computer Science
Additional Programme Requirements to the MSc in Bioinformatics and Computational Biology [MA]
Version: 2022_1/V_01
Additional Programme Requirements to the MSc Bioinformatics and Computational Biology > Initiation courses in Computer Science
Additional Programme Requirements to the MSc in Computer Science [MA]
Version: 2022_1/V_01
Supplement to the MSc in Computer science > Initiation courses in Computer Science
Additional Programme Requirements to the MSc in Digital Neuroscience [MA]
Version: 2023_1/V_01
Supplement to the MSc in Computer science > Initiation courses in Computer Science
BSc in Sport Sciences and Motor Control, option Health - Performance - Research 180
Version: 2023_1/V_01
BSc in Sport sciences and motor control, option Health-Performance-Research, 2nd-3rd year, scientific training > BSc-SP-HPR, specific education, elective courses (since SA2018 on) > BSc in sport and motricity, option HPR, 2nd-3rd years, specific education, elective courses, FacSciMed (since SA2015 on)BSc in Sport sciences and motor control, option Health-Performance-Research, 2nd-3rd year, practical-methodolical formation > BSc-SP-HPR, elective courses, max 12 ECTS > BSc-SP-HPR, specific education, elective courses, max 12 ECTS > BSc in sport and motricity, option HPR, 2nd-3rd years, specific education, elective courses, FacSciMed (since SA2015 on)
Computer Science 30 [BSc/BA SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Computer science 30 ECTS, 1st-3rd years > Propaedeutic informatics (from SA2018 on)
Computer Science 50 [BSc/BA SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Computer science 50 ECTS, 1st-3rd years > Propaedeutic informatics (from SA2018 on)
Computer Science [3e cycle]
Version: 2015_1/V_01
Continuing education > Initiation courses in Computer Science
Computer Science [POST-DOC]
Version: 2015_1/V_01
Continuing education > Initiation courses in Computer Science
Earth Sciences 150
Version: 2023_1/V_01
BSc in Earth sciences, Major, 1st year
Geography 120
Version: 2023_1/V_02
BSc in Geography, Major, 1st year > Propaedeutic informatics (from SA2018 on)
Ma - Accounting and Finance - 120 ECTS
Version: 2024/SP_V01_DD_Caen
UniFr courses > Modules "Data Analytics" and "Audit et Fiscalité": min. 2 courses > DAT: Data Analytics
Ma - Accounting and Finance - 90 ECTS
Version: 2021/SA_V01 Dès SA-2024
Course - 72 ECTS > Modules "Data Analytics" and "Audit et Fiscalité": min. 3 courses > DAT: Data Analytics > Elective courses
Ma - Business Communication : Business Informatics - 90 ECTS
Version: 2020/SA_V02
Courses - 60 ECTS > Option Group > Information Management > Cours > Modules management > DAT: Data Analytics
Ma - Business Informatics - 90 ECTS
Version: 2020/SA-v01
Classes - min. 45 ECTS > Modules management - max. 15 ECTS > DAT: Data Analytics
Ma - International and European Business - 90 ECTS
Version: 2021/SA_v01 dès SA-2024
Courses > Modules > One complete module taken from the following list > DAT Module validation element group > DAT: Data Analytics > Elective coursesCourses > Modules > Elective courses of the management modules > Elective courses of the management modules > Elective courses for the Master in management
Ma - Management - 90 ECTS
Version: 2021/SA_v03 dès SA-2024
Courses: min. 72 ECTS > Modules - min 54 ECTS > Elective courses taken outside a validating module > Elective courses in the management modules > Elective courses for the Master in managementCourses: min. 72 ECTS > Modules - min 54 ECTS > Minimum of 3 modules with a minimum of 18 ECTS and 2 core courses > DAT Module validation element group > DAT: Data Analytics > Elective courses
Ma - Marketing - 90 ECTS
Version: 2021/V03 dès SA-2024
Courses - 72 ECTS > Complementary module > DAT Module validation element group > DAT: Data Analytics > Elective courses
Mathematics 120
Version: 2022_1/V_01
BSc in Mathematics, Major, 1st year > Propaedeutic informatics (from SA2018 on)
MiMa - Business Informatics - 30 ECTS
Version: 2020/SA_V01
Cours > Modules management > DAT: Data Analytics
MiMa - Gestion d'entreprise - 30 ECTS
Version: 2021/SA_V01
Elective courses - 30 ECTS > DAT: Data Analytics
Physics 150
Version: 2023_1/V_01
BSc in Physics, Major, 1st year > Propaedeutic informatics (from SA2018 on)
Pre-Master-Programme to the MSc in Bioinformatics and Computational Biology [PRE-MA]
Version: 2022_1/V_01
Prerequisite to the MSc in Bioinformtics and Computational Biology > Initiation courses in Computer Science
Pre-Master-Programme to the MSc in Computer Science [PRE-MA]
Version: 2022_1/V_01
Prerequisite to the MSc in Computer science > Initiation courses in Computer Science
Pre-Master-Programme to the MSc in Digital Neuroscience [PRE-MA]
Version: 2023_1/V_01
Prerequisite to the MSc in Computer science > Initiation courses in Computer Science