Das Sommer- und Winterschulprogramm der Berliner Universitäten und Hochschulen: Kultur und Wissenschaft entdecken
Berlin ist bei Studierenden aus aller Welt besonders beliebt. Mit den Summer und Winter Schools bieten die Universitäten und Fachhochschulen internationalen Teilnehmer*innen auch in der vorlesungsfreien Zeit ein breites und spannendes Kursangebot. Die Studierenden erhalten außerdem die Gelegenheit, Leben, Kultur sowie die exzellente Wissenschaftslandschaft der Brain City Berlin intensiv kennenzulernen. Eine einzigartige Erfahrung.
Regulär bündeln wir auf dieser Seite das Sommer- bzw. Winterschul-Programm sämtlicher Berliner Universitäten und Fachhochschulen. Aufgrund der Corona-Pandemie findet das Winterschul-Programm der Berliner Universitäten und Fachhochschulen 2021/22 weitgehend digital statt.
Eine Übersicht über die Online-Kurse bietet die Suchmaske.
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Course
Academy
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2022-01-03
Jan032022Jan282022
TU Berlin Winter University Online: Data Science with Python
Description:
This course will focus on Data Science with Python, starting with the basic of Python programming and machine learning algorithms to solving arbitrary complex modules using graphical Bayesian modelling and sampling.
Learning Goals:
Code in Python with Jupyter Notebooks
● Use popular libraries such as Numpy, Pandas, Matplotlib etc. in Python
● Manipulate and visualize data in Python
● Do object orientated coding in Python
● Run exploratory analysis on data and gain new insights
● Implement simple Machine Learning algorithms
Academic degree:
Open to all levels
Language:
English
Course type:
online
Number of participants:
24
Hours of instruction:
4 weeks
ECTS Credits:
6
Pre-requirements:
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
Basic programming knowledge is also required for this course. Students should be able to write and run small programs in the language of their choice. Students should also have basic knowledge in linear algebra and statistics/probability theory and know what loops, conditionals, methods/functions, libraries, vectors, matrices, gradient and probability distributions are.
• Linear algebra
• Calculus
• Elements of probability theory
• Basic programming knowledge
We will ask participants to fulfil the following technical requirements:
Fully functional device (laptop, tablet, PC)
Stable internet connection
Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
Recommended: external headset for better sound quality
Reading week: January 3rd - 7th, 2022. Flexible, 20 hours preparatory work to be done on-demand.
Online course: January 10th - 28th, 2022. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.
Academy information:
TU Berlin Summer & Winter University https://www.tu-berlin.de/summer_university/
TU Berlin Summer & Winter University
TUBS GmbH - TU Berlin Science Marketing
Herdenbergstaße 16-18, HBS building, 5th floor
10623 Berlin
Germany
Phone: +49(0)3044720211
Email: summeruniversity@tubs.de
TU Berlin Summer & Winter University
Natural & Computer Sciences
Engineering
Open to all levels
Winter Schools 2022
2022-01-03
Jan032022Jan282022
TU Berlin Winter University Online: Introduction to Python
Description:
This python programming course provides participants with a solid understanding of basic python programming and some useful python modules, used mainly for data processing.
The course is comprised of two main components: python programming and advanced python modules. As part of the first component, you will learn about python programming including data types, control structures (if-else; for-loop; while) and basic algorithms; file operations; code-reuse (function, class, module) and program debugging. In the second component, you will learn to use some of the most common and popular python modules for data processing, namely: NumPy, Pandas for data analysis, Matplotlib, Seaborn for data visualization, Requests, and Beautiful Soup for crawling.
This course also addresses python for scientific calculation (using module SciPy) and some basic machine learning methods achieved when learning basic algorithms, e.g. k-means clustering, random forest.
Academic degree:
Open to all levels
Language:
English
Course type:
online
Number of participants:
24
Hours of instruction:
4 weeks
ECTS Credits:
6
Pre-requirements:
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
Although this course is an introductory course, some basic / general knowledge of programming is recommended. Please also see the information included under Target Audience, above.
We will ask participants to fulfil the following technical requirements:
Fully functional device (laptop, tablet, PC)
Stable internet connection
Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
Recommended: external headset for better sound quality
Reading week: January 3rd - 7th, 2022. Flexible, 20 hours preparatory work to be done on-demand.
Online course: January 10th - 28th, 2022. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.
Course Components:
Live lectures Independent assignments Webinars for assignments discussion and solutions Independent projects Webinars for project discussion/tutoring Online tests
Academy information:
TU Berlin Summer & Winter University https://www.tu-berlin.de/summer_university/
TU Berlin Summer & Winter University
TUBS GmbH - TU Berlin Science Marketing
Herdenbergstaße 16-18, HBS building, 5th floor
10623 Berlin
Germany
Phone: +49(0)3044720211
Email: summeruniversity@tubs.de
TU Berlin Summer & Winter University
Engineering
Natural & Computer Sciences
Open to all levels
Winter Schools 2022
2022-01-03
Jan032022Jan282022
TU Berlin Winter University Online: Introduction to Artificial Intelligence
Description:
Artificial Intelligence has made its way into our everyday language and news cycles. Yet, it is still hard to define what exactly an AI is. In this course you will learn why. We will focus on several techniques associated with AI and give you an understanding of how they work and which kinds of problems they can solve. You will learn Planning, Optimization, Reasoning and Machine Learning. We will visit each of these fields based on practical tasks using the programming language Python.
Academic degree:
Open to all levels
Language:
English
Course type:
online
Number of participants:
24
Hours of instruction:
4 weeks
ECTS Credits:
6
Pre-requirements:
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
The course requires previous knowledge in Python but you don’t need to be an expert. However, knowing the common programming concepts and being able to use them to solve low to mid-complexity programming tasks on your own is vital. AI contains a lot of mathematics, but the course is designed to be understandable with the knowledge conveyed in a High School education.
- Fluent in Python 3 programming and tools
"Technical Requirements
We will ask participants to fulfil the following technical requirements:
Fully functional device (laptop, tablet, PC)
Stable internet connection
Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
Recommended: external headset for better sound quality"
Students will learn: - what Artificial Intelligence is and why it’s hard to come up with an exact definition - what state space search is and how to select an appropriate Planning or Optimization algorithm - how to represent and reason about the truthfulness of information programmatically - how to derive statistical relations from a corpus of information using Data Science and Machine Learning - to identify which field of AI is a promising approach to solve a given problem - how to select and implement algorithms from all fields of AI using Python libraries
Course Structure:
Reading week: January 3rd - 7th, 2022. Flexible, 20 hours preparatory work to be done on-demand.
Online course: January 10th - 28th, 2022. Estimated session times are Mondays to Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.
Academy information:
TU Berlin Summer & Winter University https://www.tu-berlin.de/summer_university/
TU Berlin Summer & Winter University
TUBS GmbH - TU Berlin Science Marketing
Herdenbergstaße 16-18, HBS building, 5th floor
10623 Berlin
Germany
Phone: +49(0)3044720211
Email: summeruniversity@tubs.de
TU Berlin Summer & Winter University
Engineering
Natural & Computer Sciences
Open to all levels
Winter Schools 2022
2022-01-03
Jan032022Jan282022
TU Berlin Winter University Online: Space Mission Design
Description:
Participants of this course will design a space mission in an interdisciplinary group. The group will choose their own mission idea to conduct a feasibility study. Each participant is responsible for one aspect of the mission but must work intensely with all other participants for it to be successful. The goal is to prepare and present a full scenario and spacecraft configuration of the space mission. The supervising space engineers guide the participants through the process. They introduce the fundamentals of space technologies in live lectures and train the participants in tools to make the necessary calculations, simulations and trade-offs.
Academic degree:
Open to all levels
Language:
English
Course type:
online
Number of participants:
24
Hours of instruction:
4 weeks
ECTS Credits:
6
Pre-requirements:
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
We will ask participants to fulfil the following technical requirements:
Fully functional device (laptop, tablet, PC)
Stable internet connection
Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
Recommended: external headset for better sound quality
After completion of this course the participant shall be able to:
Recognize the need for different types of space missions Describe the space environment Apply the space mission design process to a use case Describe the most common technologies used in spacecraft Plan a space mission, including its mission scenario and spacecraft Manage working in an interdisciplinary team
Course Structure:
Reading week: January 3rd - 7th, 2022. Flexible, 20 hours preparatory work to be done on-demand.
Online course: January 10th - 28th, 2022. Estimated session times are Mondays to Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.
Academy information:
TU Berlin Summer & Winter University https://www.tu-berlin.de/summer_university/
TU Berlin Summer & Winter University
TUBS GmbH - TU Berlin Science Marketing
Herdenbergstaße 16-18, HBS building, 5th floor
10623 Berlin
Germany
Phone: +49(0)3044720211
Email: summeruniversity@tubs.de
TU Berlin Summer & Winter University
Design
Engineering
Natural & Computer Sciences
Open to all levels
Winter Schools 2022
2022-01-03
Jan032022Jan282022
TU Berlin Winter University Online: Programming in Java
Description:
Java's unique architecture enables programmers to develop a single application that can run across multiple platforms seamlessly and reliably. In this course, students gain extensive experience with Java and its object-oriented features. Participants learn to create robust console and GUI applications.
This course introduces computer programming using the Java programming language with object-oriented programming principles.
Emphasis is placed on event-driven programming methods, including creating and manipulating objects; classes; and using object-oriented tools such as the class debugger.
The course will include more than 500 examples and will conclude with several case studies. Assignments will be incorporated to help participants to gain a thorough understanding of the programming concepts.
Academic degree:
Open to all levels
Language:
English
Course type:
online
Number of participants:
24
Hours of instruction:
4 weeks
ECTS Credits:
6
Pre-requirements:
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
In addition, the following requirements are recommended for this course:
1. Basic computer skills
2. Knowledge of school-level mathematics, in particular, the following skills:
How to calculate with complex numbers
How to calculate with matrices
How to handle planes and lines
3. Knowledge of some basic Linux commands is also useful (but they will be also introduced in the course).
We will ask participants to fulfil the following technical requirements:
Fully functional device (laptop, tablet, PC)
Stable internet connection
Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
Recommended: external headset for better sound quality
Learning Goals: On completion of this course you will be able to understand basic concepts around writing a computer program with the programming language Java, and will: • Learn to apply the acquired knowledge directly in practical tasks • Know the meaning and functions of algorithms and their possible applications • Apply object-oriented programming, design methods and principles • Are able apply the basic principles and methods for the design, implementation and analysis of algorithms • Understand complex data structures such as lists and trees • Identify the exceptions and ensure the handling of exceptions through programming • Identify and apply Python modern libraries to support programming methods • Learn standard input and output; and access to standard streams, files’ streams and objects’ streams
The course will be taught primarily through live lectures to help participants learn the principles of programming and programming concepts in a practical manner. Students will undertake live programming together with the course instructor, who will give real-time feedback and corrections which will enable you to understand and correct your mistakes, whilst maximizing the opportunity for "learning by doing". The course will conclude with a group project, in which participants will work together with their classmates to achieve project goals.
The following topics will be included:
• Variables and types of data • Loops and conditions • User interfaces • Arrays, and Lists, Sets, and Hash Tables • Generic Classes • Arrow Function (Lambda Function) • Methods-Classes and objects • Object inheritance and interfaces • Collections • Introduction of Unit Testing • Creating and designing data types • Graphics • Concurrent programming • Event-driven programming • Introduction to group programming using GitHup
Academy information:
TU Berlin Summer & Winter University https://www.tu-berlin.de/summer_university/
TU Berlin Summer & Winter University
TUBS GmbH - TU Berlin Science Marketing
Herdenbergstaße 16-18, HBS building, 5th floor
10623 Berlin
Germany
Phone: +49(0)3044720211
Email: summeruniversity@tubs.de
TU Berlin Summer & Winter University
Engineering
Natural & Computer Sciences
Open to all levels
Winter Schools 2022
2022-01-03
Jan032022Jan282022
TU Berlin Winter University Online: Foundations of Design Thinking
Description:
Design thinking is a powerful holistic process that focuses on people and their needs and experiences. The process is iterative and flexible, emphasizing the collaboration between innovators and users. The design thinking aims to shift the paradigm from the innovation centered on technology and economy towards the one on human needs and experiences. In the course, the students will learn and develop the essential skills behind design thinking. The course will enable the students to empathize with people, identify their needs, and systematically ideate, prototype, and test ideas. Through a series of practical and accumulative exercises, the students will create a design-thinking project.
Academic degree:
Open to all levels
Language:
English
Course type:
online
Number of participants:
24
Hours of instruction:
4 weeks
ECTS Credits:
6
Pre-requirements:
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent, and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
We will ask participants to fulfil the following technical requirements:
Fully functional device (laptop, tablet, PC)
Stable internet connection
Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as Zoom account name)
Recommended: external headset for better sound quality
Learning Goals: Upon successful completion of the course, the students will gain solid understanding of design thinking. They will be able to apply the five-stage model of design thinking defined by d.school of Hasso-Plattner Institute: (1) Empathize – understand people and their needs and the problem to solve to meet such needs (2) Define – analyze observations and synthesize them into a human-centered problem statement (3) Ideate – identify new solutions (4) Prototype – investigate the hypothetical solutions through low-cost, scaled down prototypes (5) Test – test the best solutions identified during prototyping
Course Structure:
Reading week: January 3rd - 7th, 2022. Flexible, 10 hours preparatory work to be done on-demand.
Online course: January 10th - 28th, 2022. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de
Please note this is a full-time, intensive course and participants will be expected to attend lectures and/or complete independent study Monday through Friday. Additional study may also be required on weekends.
Academy information:
TU Berlin Summer & Winter University https://www.tu-berlin.de/summer_university/
TU Berlin Summer & Winter University
TUBS GmbH - TU Berlin Science Marketing
Herdenbergstaße 16-18, HBS building, 5th floor
10623 Berlin
Germany
Phone: +49(0)3044720211
Email: summeruniversity@tubs.de