227-0085-66L P&S: Coding Algorithms for a Scavenger Hunt
| Semester | Autumn Semester 2024 |
| Lecturers | R. Wattenhofer |
| Periodicity | every semester recurring course |
| Language of instruction | English |
| Comment | Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. |
Courses
| Number | Title | Hours | Lecturers | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 227-0085-66 P | P&S: Coding Algorithms for a Scavenger Hunt
Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account): https://psapp.ee.ethz.ch/ Bitte beachten Sie, dass die Seite jeweils erst zwei Wochen vor Semesterbeginn zugänglich ist und im Verlauf des Semesters wieder abgeschaltet wird. Die Einschreibung ist nur von Freitag vor Semesterbeginn bis zum ersten Freitagmittag im Semester möglich. To access the offer and to enroll for courses log in (with your n.ethz account): https://psapp.ee.ethz.ch/ Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester. | 8s hrs |
| R. Wattenhofer |
Catalogue data
| Abstract | The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work. |
| Learning objective | This P&S provides insights into various topics and challenges in the form of a scavenger hunt. In a practical and interactive session, students solve challenging tasks by coming up with innovative approaches and algorithms. This will require them to think outside the box, to implement and test ideas in Python code, and to learn how to use technical tools for rapid development. To expose students to novel challenges that require both problem solving and technical expertise to solve the task in a practical way. The main objective of the course is to train students in problem solving and to introduce them to finding and applying appropriate technical tools to solve challenges efficiently. |
| Content | Students learn about various topics such as cryptography, game theory, algorithm design, and Python coding. After attending this course, students will be better equipped to tackle unfamiliar problems - gaining the necessary background and applying the right technical expertise to solve such problems in practice. |
| Lecture notes | Python Notebooks will be distributed to students before every session. |
| Prerequisites / Notice | Students should be able to write python code. Attending the Computational Thinking lecture is enough. |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 0.5 credits |
| Examiners | R. Wattenhofer |
| Type | ungraded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| General | |
| Places | Limited number of places. Special selection procedure. |
| Beginning of registration period | Registration possible from 13.09.2024 |
| Priority | Registration for the course unit is only possible for the primary target group |
| Primary target group | Electrical Engin. + Information Technology BSc (228000) |
| Waiting list | until 04.10.2024 |
| End of registration period | Registration only possible until 27.09.2024 |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Electrical Engineering and Information Technology Bachelor | Projects & Seminars (only for BSc EEIT) | W |


Performance assessment as a semester course