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Complex Systems Project (2024/2025: Periode 4)
Cursusdoel
Deliverables
- A final report (8-10 pages) in scientific paper format.
- A 15-minute presentation summarizing the research process, results, and insights.
Learning Objectives
By the end of this course, students will:
1. Develop critical research and teamwork skills.
2. Gain hands-on experience in designing and executing a research project in complex systems.
3. Understand interdisciplinary approaches to analyzing complex systems.
4. Learn to communicate scientific findings effectively through writing and presentation.
5. Foster collaboration with supervisors and peers from diverse scientific backgrounds.
Assessment
1. Final Report (50%): Quality, clarity, and originality of the report, including problem definition, methodology, analysis, and discussion.
2. Final Presentation (25%): Delivery, clarity, and ability to answer questions during Q&A.
3. Mid-project Update (15%): Progress report with clear articulation of challenges and adjustments.
4. Teamwork and Engagement (10%): Peer and supervisor evaluation of teamwork and participation.
- A final report (8-10 pages) in scientific paper format.
- A 15-minute presentation summarizing the research process, results, and insights.
Learning Objectives
By the end of this course, students will:
1. Develop critical research and teamwork skills.
2. Gain hands-on experience in designing and executing a research project in complex systems.
3. Understand interdisciplinary approaches to analyzing complex systems.
4. Learn to communicate scientific findings effectively through writing and presentation.
5. Foster collaboration with supervisors and peers from diverse scientific backgrounds.
Assessment
1. Final Report (50%): Quality, clarity, and originality of the report, including problem definition, methodology, analysis, and discussion.
2. Final Presentation (25%): Delivery, clarity, and ability to answer questions during Q&A.
3. Mid-project Update (15%): Progress report with clear articulation of challenges and adjustments.
4. Teamwork and Engagement (10%): Peer and supervisor evaluation of teamwork and participation.
Vakinhoudelijk
The Complex Systems Project Course is a hands-on, team-based exploration into the fascinating realm of complex systems. Students will work in interdisciplinary teams of 3-4 members to design, execute, and present a mini research project. Each team will select a topic of interest and collaborate with a supervisor from diverse scientific disciplines, including mathematics, physics, computer science, chemistry, biology, and artificial intelligence.
Course Structure and Timeline
Week 1: Course Introduction and Team Formation
- Lecture: Introduction to complex systems and potential research topics.
- Activity: Team formation and brainstorming sessions.
- Deliverable: Submission of team preferences for supervisors and initial project ideas.
Week 2: Supervisor Matching and Project Proposal
- Activity: Meetings with assigned supervisors to finalize the project proposal.
- Deliverable: Submit a 1-page project proposal, including research goals, methodology, and a timeline.
Weeks 3-4: Literature Review and Project Planning
- Activity: Review relevant literature and refine the project methodology with supervisors.
- Deliverable: Submit a 2-page literature review and detailed project plan by the end of Week 4.
Weeks 5-7: Research and Data Collection
- Activity: Hands-on project work under supervisor guidance. Regular team meetings.
- Deliverable: Submit a mid-project update (2 pages) detailing progress, challenges, and next steps by the end of Week 7.
Week 8: Analysis and Interpretation
- Activity: Data analysis and preparation of draft findings.
- Deliverable: Submit preliminary results and draft figures for feedback.
Week 9: Final Report and Presentation Preparation
- Activity: Peer feedback on draft reports and presentation rehearsals.
- Deliverable: Submit a draft of the final report for review.
Week 10: Final Presentation and Report Submission
- Activity: 15-minute team presentations with Q&A.
- Deliverable: Submission of the final 8-10 page report.
Topics and Past Examples
Students are encouraged to explore interdisciplinary themes in complex systems. Past projects have included:
- Viral Dynamics: Modeling and simulating viral spread in populations.
- Flocking of Birds: Understanding emergent behavior using agent-based models.
- Machine Learning in Physics: Applying neural networks to solve physical problems.
- Network Dynamics: Exploring robustness and vulnerability in social or biological networks.
- Chemistry: Studying reaction-diffusion systems.
Supervisors will provide tailored guidance to align student interests with cutting-edge research opportunities.
Required Materials
- Access to research papers (library or open-access journals).
- Computational tools (e.g., Python, MATLAB, or equivalent) as needed for the project.
- Presentation software (e.g., PowerPoint, LaTeX Beamer).
Key Dates
Week 2: Project proposals due.
Week 4: Literature review and project plan due.
Week 7: Mid-project update due.
Week 10: Final presentations and report submission.
Contact Information
Course Coordinator: Lars Fritz, l.fritz@uu.nl
Supervisor Contact List: Provided during Week 1.
Course Structure and Timeline
Week 1: Course Introduction and Team Formation
- Lecture: Introduction to complex systems and potential research topics.
- Activity: Team formation and brainstorming sessions.
- Deliverable: Submission of team preferences for supervisors and initial project ideas.
Week 2: Supervisor Matching and Project Proposal
- Activity: Meetings with assigned supervisors to finalize the project proposal.
- Deliverable: Submit a 1-page project proposal, including research goals, methodology, and a timeline.
Weeks 3-4: Literature Review and Project Planning
- Activity: Review relevant literature and refine the project methodology with supervisors.
- Deliverable: Submit a 2-page literature review and detailed project plan by the end of Week 4.
Weeks 5-7: Research and Data Collection
- Activity: Hands-on project work under supervisor guidance. Regular team meetings.
- Deliverable: Submit a mid-project update (2 pages) detailing progress, challenges, and next steps by the end of Week 7.
Week 8: Analysis and Interpretation
- Activity: Data analysis and preparation of draft findings.
- Deliverable: Submit preliminary results and draft figures for feedback.
Week 9: Final Report and Presentation Preparation
- Activity: Peer feedback on draft reports and presentation rehearsals.
- Deliverable: Submit a draft of the final report for review.
Week 10: Final Presentation and Report Submission
- Activity: 15-minute team presentations with Q&A.
- Deliverable: Submission of the final 8-10 page report.
Topics and Past Examples
Students are encouraged to explore interdisciplinary themes in complex systems. Past projects have included:
- Viral Dynamics: Modeling and simulating viral spread in populations.
- Flocking of Birds: Understanding emergent behavior using agent-based models.
- Machine Learning in Physics: Applying neural networks to solve physical problems.
- Network Dynamics: Exploring robustness and vulnerability in social or biological networks.
- Chemistry: Studying reaction-diffusion systems.
Supervisors will provide tailored guidance to align student interests with cutting-edge research opportunities.
Required Materials
- Access to research papers (library or open-access journals).
- Computational tools (e.g., Python, MATLAB, or equivalent) as needed for the project.
- Presentation software (e.g., PowerPoint, LaTeX Beamer).
Key Dates
Week 2: Project proposals due.
Week 4: Literature review and project plan due.
Week 7: Mid-project update due.
Week 10: Final presentations and report submission.
Contact Information
Course Coordinator: Lars Fritz, l.fritz@uu.nl
Supervisor Contact List: Provided during Week 1.
Werkvormen
Hoorcollege
Werkcollege
Werkcollege
Toetsing
Eindresultaat
Verplicht | Weging 100% | ECTS 7,5
Ingangseisen en voorkennis
Ingangseisen
Er is geen informatie over verplichte ingangseisen bekend.
Voorkennis
Er is geen informatie over benodigde voorkennis bekend.
Voertalen
- Engels
Cursusmomenten
Tentamens
Er is geen tentamenrooster beschikbaar voor deze cursus
Verplicht materiaal
Er is geen informatie over de verplichte literatuur bekend
Aanbevolen materiaal
Er is geen informatie over de aanbevolen literatuur bekend
Coördinator
| dr. L. Fritz | L.Fritz@uu.nl |
Docenten
| dr. L. Fritz | L.Fritz@uu.nl |
Inschrijving
Deze cursus is open voor bijvakkers. Controleer wel of er aanvullende ingangseisen gelden.
Inschrijving
Van maandag 27 januari 2025 tot en met vrijdag 7 februari 2025
Na-inschrijving
Van maandag 31 maart 2025 tot en met dinsdag 1 april 2025
Inschrijving niet geopend
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