Programming: Techniques, Theory, and Multidisciplinary Applications

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Cursusdoel

After completing the course, you are able to
  1. Program in the Python programming language, independently and effectively.
  2. Identify and use different specific programming techniques optimized for solving particular types of problems.
  3. Apply and relate your programming skills to your own domain and (academic) interests.
Relationship between assessment and learning goals:
Description of assignment Assesses which learning goals?
Portfolio 1
Assignments on programming fundamentals		 1
Portfolio 2
Assignments on data structures and program control		 1
Portfolio 3
Assignments on software development techniques		 1
Midterm exam
Understanding of programming skills and techniques		 1
Group project 1
Disciplinary programming: Elective technique 1		 2 (& 3, 1)
Group project 2
Disciplinary programming: Elective technique 2		 2 (& 3, 1)
Group project 3
Disciplinary programming: Elective technique 3		 2 (& 3, 1)
Project proposal
Applying programming skills in your own field of interest		 3 (& 2)
Participation 3

Vakinhoudelijk

Programming is an increasingly useful skill and aspect in contemporary research, and more generally, in our modern society. This course teaches practical programming skills relevant for students in any discipline (science, social science, or humanities), emphasizing its broad application in diverse academic contexts. Being grounded in foundational programming techniques and theory, the course builds a strong basis for understanding computational advancements and challenges in our contemporary world. Furthermore, it provides hands-on experience with diverse applications, enabling you to apply your programming skills throughout your (academic) career.

Our course provides a comprehensive, hands-on introduction to the fundamentals of programming, progressing from basics like statements and variables, to programming patterns and development techniques. Beyond experience with these skills, we provide relevant theoretical and historical context on the development of computers and programming languages, to help gain a deeper understanding of the skills you are applying.

After mastering the primary competencies, we display the broad applicability of programming within academia. In groups, you will apply a selection of modern and academically relevant programming techniques such as simulation, text analysis, database programming, and experiment programming, within the context of academic problems across disciplines. These techniques showcase the inter- and multidisciplinary nature of computational methods, and will equip you with the tools and understanding to use programming in your own field of interest.

Format
  • Live-coding interactive introductions of programming concepts
  • (Mini-)lectures providing historical, theoretical, and societal embedding
  • Working sessions during which students complete programming exercises
  • Programming homework exercises (collaboration encouraged)
  • Programming assignments (individual)
  • Pen-and-paper exam on programming techniques
  • Mini-projects on discipline-specific programming techniques (group work)
  • Presentations and discussions between groups
  • Written proposal for programming project in own domain (individual)

Werkvormen

UCU 1 ACC course

Toetsing

Participation

Verplicht | Weging 10% | ECTS 0,75

Project proposal

Verplicht | Weging 15% | ECTS 1,13

Portfolio 1

Verplicht | Weging 10% | ECTS 0,75

Portfolio 2

Verplicht | Weging 10% | ECTS 0,75

Portfolio 3

Verplicht | Weging 10% | ECTS 0,75

Group project 1

Verplicht | Weging 10% | ECTS 0,75

Group project 2

Verplicht | Weging 10% | ECTS 0,75

Group project 3

Verplicht | Weging 10% | ECTS 0,75

*midterm FEEDBACK*

Niet verplicht

Mid-term exam

Verplicht | Weging 15% | ECTS 1,13

Ingangseisen en voorkennis

Ingangseisen

Er is geen informatie over verplichte ingangseisen bekend.

Voorkennis

No required or pre-requisite knowledge or skills.

Voertalen

  • Engels

Competenties

  • Academisch schrijven
  • Interdisciplinariteit
  • Onderzoeksvaardigheden
  • Presenteren
  • Samenwerken

Cursusmomenten

Gerelateerde studies

Tentamens

Er is geen tentamenrooster beschikbaar voor deze cursus

Verplicht materiaal

Materiaal Omschrijving
LAPTOP Bring a laptop (no tablets, Chromebooks) to every session, with several gigabytes of free space. For students who do not have laptops, a solution will be found.
SOFTWARE All software tools, as well as any additional materials used in the course, will be Open Access or Open Source

Aanbevolen materiaal

Materiaal Omschrijving
DIVERSE Introductory material, installation instructions, lecture notes and programming cheat sheets will be provided. Additionally, students will be pointed to openly available tutorials and standard reference texts to consult, as well as more theoretical background information

Opmerkingen

Elective course. Does not count towards methodology requirements.

Coördinator

T. van Gils t.vangils@uu.nl

Docenten

J. Vincent J.Vincent@uu.nl
T. van Gils t.vangils@uu.nl

Inschrijving

Let op: deze cursus is niet toegankelijk voor studenten van andere faculteiten, bijvakkers mogen zich dus niet inschrijven.

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