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Programmeren met Python (2026/2027: Periode 3)
Cursusdoel
After finishing the course successfully, you will be able to:
- explain the individual steps and programming constructs needed to solve a computational problem,
- graph the individual steps in the form of Unified Modeling Language (UML) diagrams,
- code the individual steps using existing Python tools/libraries,
- model data analysis problems/solutions in an algorithm that a computer could execute,
- evaluate Python programs for correct functioning, and
- program tested, documented, and maintainable Python programs and notebooks.
Assessment
You will do a midterm and a final exam. You must bring your own laptop computer for the final exam, including all necessary Python packages that we will install throughout the course.
You will work on three two-week group projects during the course. Groups will consist of four students from the same seminar group.
Master students will have slightly different requirements for the group projects, in accordance with the different expectations for master students as outlined in the university’s educational model.
The grade for the course will be the weighted average of the grades for:
To pass the course, all three parts (midterm, final exam and average project grade) need to be graded with 4 or better, the weighted average of all parts has to be 6 or better, and you must have completed all four projects.
You will do a midterm and a final exam. You must bring your own laptop computer for the final exam, including all necessary Python packages that we will install throughout the course.
You will work on three two-week group projects during the course. Groups will consist of four students from the same seminar group.
Master students will have slightly different requirements for the group projects, in accordance with the different expectations for master students as outlined in the university’s educational model.
The grade for the course will be the weighted average of the grades for:
- Midterm (20%, individual)
- Final exam (40%, individual)
- Projects (40%, group work)
To pass the course, all three parts (midterm, final exam and average project grade) need to be graded with 4 or better, the weighted average of all parts has to be 6 or better, and you must have completed all four projects.
Vakinhoudelijk
The course is an introduction to computational thinking about data analysis and processing problems, and the implementation of corresponding programs in Python.
It starts at the very basics and is explicitly intended for students who have no programming experience.
Computational thinking is about expressing problems and their solutions in ways that a computer could execute. It is considered one of the fundamental skills of the 21st century.
Programming is the process of designing and building an executable computer program for accomplishing a specific computing task.
The course introduces you to programming with Python, which is currently one of the most popular programming languages in data science.
After familiarization with the basics (i.e., input and output, variables, data types, data structures, conditional branching, loops, functions, etcetera) the course addresses more advanced topics, such as statistical analyses, data visualization, Jupyter notebooks, and graphical user interfaces.
Course form
Lectures, tutorials, exercises.
The lecture notes and a set of exercises to practice the new concepts will be made available digitally. You are expected to solve these exercises individually within one week after the respective lecture.
To be admitted to the exam, you must have completed and submitted on time at least 50% of the homework exercises.
Each tutorial group has a tutor who facilitates the sessions and is available for any questions on the exercises and group projects. The tutorial sessions all take place at the same time.
Additionally, each of the tutors is available at a specified time (see schedule) for live consultations via video chat.
It starts at the very basics and is explicitly intended for students who have no programming experience.
Computational thinking is about expressing problems and their solutions in ways that a computer could execute. It is considered one of the fundamental skills of the 21st century.
Programming is the process of designing and building an executable computer program for accomplishing a specific computing task.
The course introduces you to programming with Python, which is currently one of the most popular programming languages in data science.
After familiarization with the basics (i.e., input and output, variables, data types, data structures, conditional branching, loops, functions, etcetera) the course addresses more advanced topics, such as statistical analyses, data visualization, Jupyter notebooks, and graphical user interfaces.
Course form
Lectures, tutorials, exercises.
The lecture notes and a set of exercises to practice the new concepts will be made available digitally. You are expected to solve these exercises individually within one week after the respective lecture.
To be admitted to the exam, you must have completed and submitted on time at least 50% of the homework exercises.
Each tutorial group has a tutor who facilitates the sessions and is available for any questions on the exercises and group projects. The tutorial sessions all take place at the same time.
Additionally, each of the tutors is available at a specified time (see schedule) for live consultations via video chat.
Werkvormen
Hoorcollege
Hoor/werkcollege
Werkcollege
Hoor/werkcollege
Werkcollege
Toetsing
Eindresultaat
Verplicht | Weging 100% | ECTS 7,5
Ingangseisen en voorkennis
Ingangseisen
Je mag niet uitsluitend ingeschreven staan voor een van de volgende opleidinge:
- Informatiekunde
- Informatica
- Natuur- en Sterrenkunde
- Artificial Intelligence
Je kunt deze cursus niet volgen als je één van de volgende cursussen hebt afgerond:
- [INFOB1CODE] Computationeel denken
- [INFOB1GP] Gameprogrammeren
- [INFOB1MOP]
- [INFOIMP] Imperatief programmeren
Voorkennis
LET OP: volg deze cursus NIET als deze te veel overlap kent met onderdelen uit je eigen bachelor en je al ervaring hebt met Python of een andere imperatieve programmeertaal. De cursus is bedoeld om studenten ervaring met programmeren te laten opdoen.
Voertalen
- Engels
Cursusmomenten
Gerelateerde studies
Tentamens
Er is geen tentamenrooster beschikbaar voor deze cursus
Verplicht materiaal
-
LAPTOPYou need to have a laptop that you can use throughout the course. Any operating system (Windows, Mac OSX, Linux) is fine, as long as new software can be installed on the machine.<br> We assume that you have elemental computer skills such as browser usage, storing files, installing programs, etc.
-
WNBAll course literature will be provided in digital form.
Aanbevolen materiaal
Er is geen informatie over de aanbevolen literatuur bekend
Coördinator
| dr. I. Alpizar Chacon | i.alpizarchacon@uu.nl |
Docenten
| dr. I. Alpizar Chacon | i.alpizarchacon@uu.nl |
Inschrijving
Deze cursus is open voor bijvakkers. Controleer wel of er aanvullende ingangseisen gelden.
Inschrijving
Van maandag 2 november 2026 tot en met vrijdag 20 november 2026
Naar OSIRIS-inschrijvingen
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