Das Sommer- und Winterschulprogramm der Berliner Universitäten und Hochschulen: Kultur und Wissenschaft entdecken

In many ways, Berlin is a center for contemporary electronic music. This is primarily due to the strong connection between technological and aesthetic developments. Nightclubs, such as the Berghain, have a worldwide reputation for their sound systems, which allow a specific acoustic experience and encourage nightlong dancing and partying. Berlin-based companies such as Ableton and Native Instruments are global leaders in their music software, especially in the context of techno, electronica and electronic dance music. Many DJs and musicians´ market themselves or their tracks via blogs and streaming services. Particularly in the context of sound art, there are fairly strong parallels with media art.

Due to the key 'digital' aspects of such phenomena, we often speak of a 'Digital Age' in which Berlin plays a particular role in the field of music. However, the 'analog' phenomena are constantly growing, so that there is some debate over the beginning of a 'post-digital age'. This corresponds with an increasing focus both on the virtual and haptic dimension. Among other things, software companies have made strong efforts over the past years to develop their own hardware controllers for their computer programs in order to be able to better design musical processes manually.

Based on such phenomena, the course will explore the relationship between aesthetic trends and technological developments with the focus on the cultural and economic conditions in Berlin. Particular emphasis will be made on the past and present of techno, (experimental) electronica and electronic dance music. What makes Berlin a magnet not only for thrill-seeking club-goers, but also for DJs, musicians, producers and developers? How does this relate to the recent past of Berlin since the fall of the Berlin Wall, especially given the gentrification processes? To what extent is Berlin's creative scene at the same time internationally networked and can its conditions only be understood in a global context?

Beyond the Berlin perspective, the course examines the current conditions of production and consumption as well as the performance and distribution of music. How do legal/illegal file sharing and streaming services affect listening to music? What is changing in music culture through sampling, remixing, mashup and approaches to interactive music in video games? What opposing trends are out there?

And last but not least: To what extent has the time of the pandemic in 2020/21 changed the conditions of production, distribution and consumption of music – in Berlin and globally?

In addition to the joint discussion of texts and film excerpts, excursions also provide an opportunity for an exchange with proven experts in the course subject areas.    

At the end of the course, the participants can elaborate on and present a topic (either alone or in a group) of their choice in the context of the general list of topics on the course.

This course is intended for students of any disciplines. No prior music and technology background is required. The course aims to provide an insight into the relationship between aesthetic, social and technical developments regarding the topic 'Berlin and the Digital Music Age'. It also examines the conditions of the current production methods of electronic music, but does not teach the specific programming or composing of music.

Registration deadline: June 25, 2022

FUBiS offers online semi-intensive German language courses for 2 intermediate levels. 

Semi-intensive German language courses meet on three days a week. On four class days during the term you will go on a short course-related study trip and thus making use of the vast historic, cultural, and political institutions and resources Berlin has to offer.

It is possible to combine a semi-intensive German language course with a subject course.

For a detailed description of the different course levels and the various course combination possibilities, please click here.

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Registration deadline: June 25, 2022

In this course, students gain skills and expertise in the field of human factors. First the theoretical groundwork (human perception and performance, design principles, and trust in automation) is laid and participants gain first practical insights in complex socio-technical systems. Afterwards, participants team up to put the theoretical foundation into the real world, examining typical challenges in human-automation interaction. The aim is to accomplish a holistic research process from the development of the research question to the presentation of the results. Thereby, the investigated technologies can vary broadly (e.g. humanoid robots, mobile applications, navigation devices, or websites).

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Learning goals:

• Fundamental knowledge about human information processing and action selection as well as accompanying limitations
• Ability and common methods to analyze and optimize typical human factors problems
• Understanding and applying evaluation methods for human- machine-interaction in the context of user-centered design

City-living brings with it many advantages but it is also associated with economic and environmental challenges such as ensuring appropriate housing and recreational spaces, waste management and resource efficiency. Cities are in an exceptional position to enable citizens to reduce waste and develop more sustainable consumption patterns.

This course deals with the concept of circular economies and cities, which are focussed on the reduction of waste and congestion, improvements in productivity and the stimulation of long-term and sustainable growth.

Circularizing Cities introduces participants to the theoretical concepts and practices of circular economy in urban areas and seeks to explore its multidisciplinarity. Through learning about the role of urban resource centers in facilitating sustainable consumption, waste prevention, re-use, repair and recycling in urban areas, the course will provide a platform for exchange and ideas which brings together a number of disciplines such as environmental/ civil/ production engineering, industrial design and architecture/urban planning/urban management.

Working together with the Haus der Materialisierung, an urban resource center in Berlin, the course will give insight into one of the centers’ current projects, The House of Statistics  (“Haus der Statistik” https://hausderstatistik.org/model-project-haus-der-statistik/) and offer the chance to explore places, experiment with materials, co-design products, and interact with stakeholders around circularizing cities.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Apart from that:

Interest in the Circular Economy and sustainable development.

Participation requires the preparation of a poster and presentation the status of circularity and waste management and measures of waste prevention in the student's hometown. Instructions will be provided 8 weeks before the course.

Learning Goals:

The key goal of this course is to understand, analyze and implement the concept of urban resource centers as a nucleus for sustainable consumption and production in cities.

Participants will:

• Learn about urban material flows, concepts for modern waste management and circular economy in cities
• Discuss and communicate the role of urban resource centers in the context of sustainable consumption and production
• Analyze and debate conflicting interests of stakeholder groups in the circular economy
• Learn strategies to raise the value of untapped materials (practical materials workshop)
• Design strategies on how to upscale and multiply urban resource centers in the context of urban planning and management

Course components:

The two-week course takes place at various locations in Berlin and will cover the following content and activities: 

• Urban circularity in Berlin and other cities in the world: this topic will involve student presentations, walking lectures and interviews at circular places in the city. We will look at examples across a broad spectrum of this field including both traditional waste management and zero-waste and reuse activities
• Concepts of Urban Resource Centers: this component of the course will include thematic lectures and an explorative rally though the “Haus der Materialisierung”
• Stakeholder perspectives in the circular economy: in this element of the course, students will have the opportunity to participate in a game event entitled "Playing urban circularity". This event will take place in the context of the Berlin University Alliance  project “TrashGames” (https://www.berlin-university-alliance.de/commitments/knowledge-exchange/project-list-2021/trash-games/index.html)
• Prototyping and re-manufacturing (material characterization, manufacturing technologies and product design): this final course component comprises theoretical input as well as practical material workshops
• The course will conclude with a final networking event where participants will present and discuss the various course outcomes with invited guests.

A CanSat is a small satellite in shape of a commercial beverage can that performs several measuring tasks. In this course, a CanSat is designed, built and tested in the field during a rocket launch. Therefore, all basics of topics related to exciting area of space technologies is imparted and practical skills for the development of a CanSat are trained. The theoretical units are supplemented by practical exercises. Parts of the CanSat are developed in intensely supervised small groups. During an excursion to a site in Berlin where space related companies and institutions are located, the participants shall gain insight into facilities used for the development of satellites. 

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Participants should have a general understanding of engineering.

Learning goals:

• Apply basic skills in mechanical design, electrical design and microcontroller programming in a hands-on project
• Describe the main elements of astronautics
• Describe the subsystems of a satellite
• Reason and solve problems analytically
• Manage working in an interdisciplinary team
• Apply defined steps in managing a group project
• Justify design choices from a technical and programmatic point of view
• Build and operate a system which behaves similar to a satellite
• Prepare for an experimental campaign
• Present project results properly in a review

Due to the challenges of the climate change as well as energy and water scarcity, the development of advanced technical solutions under specific local boundary conditions becomes urgently necessary. The chair of environmental process engineering offers a course focusing on sustainable solutions for energy generation and water desalination based on economic, ecologic and social dimension. In addition, aspects and challenges in terms of integrated water resource management (IWRM), supply and demand, water quality and reuse are discussed. The course includes a theoretical introduction for the conversion of renewable energies and design of desalination technologies. The participants will work on case studies in teams on a specific technology combination. They will conduct an membrane experiment in the laboratory to find out parameters needed for the design of the desalination unit. The results will be presented in teams and discussed with all participants. 

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

The students should hold a Bachelor degree of the before mentioned study fields. Due to the experimental work, laboratory experience is advantageous.

Learning goals:

• understand how the conversion of renewable energies like wind power or sunlight takes place in wind power plants, photovoltaic cells (PV) or concentrating solar systems
• understand technical solutions for seawater desalination systems, in specific reverse osmosis (RO) technology
• analyze economic and environmental boundary conditions of the specific selected site
• dimension a PV system and know its components
• dimension a wind power plant and know its components and - dimension a RO unit to desalinate water.

The course addresses the following topics:

• What are extended, augmented, virtual, and mixed reality?
• What tools are used to develop MR applications and how can they be set up?
• Deployment of the app on the phones/tablets of the participants (depending on device capabilities).
• Introduction to programing for extended reality with Unity (scene setup, interactions).
• What is User Experience (UX), what is UX design? UX Design and important influencing factors (human/context/system).
• What is user testing, why is it needed, and what method can be used for testing?
• Perform a usability test and use the gathered result during the development

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Motivation to learn about virtual reality, augmented reality, user experience, Unity, and user testing.

Learning goals:

• Explain what extended reality is, the history of how and why it was developed, and the potential future use of it
• Define user experience, and show benefits of the connection with extended reality
• Teach how to develop the first extended reality game with Unity Deployment of the app on the phones/tablets of the participants (depending on device capabilities)
• Provide practical workshop from creating use case design, scenarios, prototyping to developing
• Perform a user test and how to analyze/ incorporate the results into a next app version

Biomechanics, as a growing field of engineering, has many applications in the health and sport sectors. This broad field of study includes the design of artificial implants, the development of human tissues in the lab, the measurement of human movement and the detection and treatment of pathological conditions, the understanding of the performance of our muscles and how to employ it in sport, the diagnosis of injuries, the imaging of biological tissues and the detection of their pathological state, etc. In this course, the fundamental principles of biomechanics and their application to real life situations will be covered including: basic understanding of the application of mechanical principles in biology, understanding of anatomical and biomechanical terminology, application of biomechanical principles to human movement, basic understanding of the mechanical properties of biological tissues and the techniques used to determine them, and more recent advanced topics such as mechanics of cells, tissue imaging and tissue engineering.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Successful completion of courses in engineering mechanics, basic mechanics and materials science.

Learning goals:

• Basic understanding of the application of mechanical principles in biology
• Understanding of anatomical and biomechanical terminology
• Application of biomechanical principles to human movement
• Basic understanding of the mechanical properties of biological tissues such as bone, muscle, ligaments etc. and the techniques used to determine them
• Learn to use engineering tools (hardware and software) to solve problems in biomechanics

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

- Knowledge of calculus (drawing of functions, differentiation and basic integration) is needed;

- An understanding of linear algebra (eigenvalues, eigenvectors) is recommended. Some basic concepts will be recalled in the first lectures;

- A basic knowledge of solution methods for linear, ordinary differential equations (ODEs) is also helpful but not strictly needed. These methods cannot generally be used for solving nonlinear ODEs, and this course will teach other, less canonical methods for their solution using geometrical intuition.

Learning goals:

In this course, participants will learn the basic elements of the Python programming language as well as the application of useful libraries for scientific tasks. It is aimed at (future) engineers and scientists that want to use Python for the processing and visualization of data as well as physical modelling.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Participants should have basic mathematical and scientific understanding (linear algebra, basic physics). Some programming experience (no matter what language) is of advantage, but not a necessity.

Learning goals:

Participants will be able to write Python programs and modules. More specific, you will

• have knowledge about basic programming elements 
• know how to efficiently load, process, and visualize data using Python
• have the ability to employ tools from important Python libraries for scientific/engineering applications

Getting introduced to current major themes in innovation and entrepreneurship, including human-centred design and innovation eco-systems. This practical course will guide and accompany participants to create new valued products, services or experiences, from idea generation trough to business concept development and testing and pitching the developed business concept.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Learning goals:

• A good understanding of the human-centred design and innovation process to develop new products, services or experiences
• The ability to systematically explore, create and modify business-driven ideas
• The ability to validate assumptions and test prototypes
• An understanding of the innovation and business creation eco-system
• The ability to transform new ideas into valuable solutions considering their impact
• Leadership,team building, and managerial creativity competencies to work in and lead interdisciplinary teams
• The ability to present a concept in a pitch format

Each group will develop an Web-Application that runs in the cloud. Project-team will touch the whole development life-cycle, answering the questions:

1. What do we want to create?
2. How do we work together in a team?
3. What tools do we need?
4. What will the architecture of application be?
5. Where will our application be running?

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Knowledge of programming in Java;

Optional: Knowledge in Databases/SQL, Linux and HTML/JavaScript

Learning goals:

• Working in a group
• Developing a whole application
• Running application in the cloud

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. This course is a companion to “Foundations of Sustainable Thinking”. Either course may be taken without the other. The two courses complement each other and prove more effective when taken together.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Additional requirements:

- Own computer

- Internet access

- Video conferencing capability via Zoom (only for online course)

- Basic drawing/graphic ability

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 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

Cities around the world face rapid changes in their transportation systems with the advances in ICTs. Recent trends include on-demand and shared mobility-modes and automation in public and private transportation systems; these new solutions impact transport industry, infrastructures management as well as political agenda. Focusing on Intelligent Transportation Systems (ITS), new “Smart Mobility” system and real-time network management have been developed as potential solutions to mitigate congestion issues and improve network efficiency. This course will bring a general overview about sustainable and smart transportation in the future smart cities in terms of i) industry trends, business models, technical and urban design aspects. Based on different European case studies especially in Germany, this program participants will get to know innovative methods to deal with Smart cities current and future solutions. The course combines theoretical and practical learning materials for transportation modelling and simulation techniques, with a focus on Smart Mobility and ITS solutions and real-world applications. Participants will review the most well-known traffic simulation models, learn about demand forecasting methods, business, social and political issues and related analytical techniques. Moreover, students will gain insight into the concept of the smart mobilities and how their business models could grow by analysing case studies and companies.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Basic knowledge of the fundamentals of mathematics and statistics are essential.

Technical Requirements

We will ask participants to fulfill 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:

• Transport trends and futures (Megatrends)
• New social behaviors and innovative agendas, including sustainability goals Intelligence
• Transport systems (ITS) and Smart mobility modes
• Modeling and simulation approaches for future mobility
• Forecasting demand models in smart cities

Today, “green” means much more than just sustainable. “Green” is fair, social, organic, eco, seasonal, responsible and so on. And “green" is not just a question of communication. To operate sustainably means to act differently than before in the planning of the production process: starting with the question of the origin of the raw materials and their degradation conditions through the climate effects of the transport up to the own production. In this course, students get an introduction to “green thinking”. The focus is on the four big Ps of marketing: P-roduct: responsibility for suppliers, production processes, green techniques, waste recycling P-rice: Does green have to be more expensive? New pricing models for sustainable business. P-lacement: Optimization of your own logistics, green packaging, recycling, upcycling, downcycling Promotion: Sustainability cannot just be lip service, transparency in communication, green washing vs green marketing if possible Using selected best cases, we will take a look at which solution approaches have been implemented well or poorly so far.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Learning goals:

• understanding green marketing techniques und best practices
• understanding the difference between CSR and Green Marketing
• using green marketing tools for own projects

We will look at how climate change and the expansion of renewable energy generation affects electricity grids, the energy market, and prices. Industrial energy consumers can adapt to these developments, by scheduling their production based on those energy prices, thereby, not only saving cost, but also supporting the energy transition. A mathematical optimization model, supporting energy aware planning decisions will be introduced. Using the free optimization software Julia JuMP, we will see how the mathematical formulation can be translated into code and solved, generating energy aware schedules. We will have a look at some results and discuss how they affect the companies and the energy system. Possible model extensions to improve decision making will be sketched. In supervised group work, some of those model extensions will be implemented into the model, the results presented and discussed. 

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Some experience in (mathematical) programming can be helpful, but is no strict prerequesite.

Learning goals:

• understand the effects of the energy transition on the energy system and markets
• learn how industrial consumers can mitigate some of negative effects and help getting to a more sustainable future
• see how mathematical programming helps with decision making
• get to know the basics of optimization with Julia JuMP
• learn how to translate mathematical models into code,  optimize them, and interpret results
• be able to extend models, writing own code
• understand how energy aware plans affect companies and energy systems

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. Students 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 includes over than 500 examples, and will conclude with several case study. There will be some assignments which will give you more understanding of the programming concepts.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

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).

After this course you will be able to understand basic concepts of writing a computer program with the programming language Java. After completing of this course the student will:

• learn the basics of modern programming in Java
• 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 exception’s handling 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 python programming course provides participants with a solid understanding of structured python programming. Some useful python modules (mainly for data processing) will also be learned. The course is mainly comprised of two parts: python programming and advanced python modules. For the first part, you will learn about basic python programming grammar and syntax including data types, control structures, file operations, structured programming, basic debugging, etc. You will gradually be effective to use Python codes to solve certain tasks based on a lot of practice and gain knowledge of simple algorithms. In the second part, you will learn some of the most common and popular python modules in data collection, processing, analysis, and visualization.

Participants of the TU Berlin Summer University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience.

Although this course is an introductory course, some general knowledge of math and programming is recommended.

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:

• Get familiar with Python programming language, be able to write Python codes to achieve functions
• Know how to modularize your code with function, class and module, be able to write simple script for different tasks
• Learn to find, install, use and improve a third-party Python package written by others
• Know the basic usage of commonly used Python tools for data analysis and visualization
• Know how to use basic crawling techniques to get data from the Internet
• Be able to do simple data analysis tasks and show the result

This course is an introduction to German and is aimed at beginners. Within four weeks, this course will help you to develop basic competencies in listening, speaking, reading, and writing in German, as well as give you a basic knowledge of the German culture, with a particular focus on Berlin.

This course is designed to be taken together with our courses in Terms 2, 3 or 4, to give participants maximum value from their time in Berlin. 

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.

It is recommended for students to bring their own laptop to fully participate in the course.

In this course, you will learn the basics of programming with Python. We will use Python to create some basic applications for Data Science use cases. The focus of this course is to learn how to program with Python. Hence, we will learn the basics of the python programming language as well as ways to structure code or application repositories, debug implementations, and test the functionality of code and programs.

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.

Participants are required to:

Bring a fully functional programming device (laptop preferred)

Being comfortable using a computer (especially installing software)

Plus: experience in logic algebra and working with data

Plus: basic terms and concepts of computer science

In the Startup Crash Course, you will learn how to develop a start-up idea into a successful business model and how to win a startup pitch. As for today, 99% of new businesses fail. We, the creators of this course, think that the main reasons are some myths around the startup scene, which lead to wrong expectations and crippled instruments. The main goal of this course is to increase the success rate of startups. The course offers knowledge on how to start a company and push it to success.

It will have three main parts: the structured approach, hands-on experimentation, and feedback. The structured approach is given through lectures and case studies, which serve as a compass. The hands-on experiment consists of individual and group work that makes you try all the new concepts and implement them to your business idea. Feedback comes from interaction with successful entrepreneurs and startup scene players.

Those who develop a high-quality business model may be put in contact with Berlin startup supporters.

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.

It is recommended for students to bring their own laptops to fully participate in the course.

Data Science with Python course introduce learners to data science through the
python programming language.

This skills-based specialization is intended for learners who have a basic programming
background and want to apply statistical, machine learning, information visualization,
data analysis techniques through popular python toolkits such as numpy, pandas, matplotlib,
scikit-learn, pytorch.

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.

Participants are required to bring a fully functional programming device (laptop preferred).

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, gradients, and probability distributions are.

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.

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 is directed at intermediate beginners in Software Engineering and Computer Science. It requires previous knowledge in Python, but you don’t need to be an expert. If you know the common programming concepts and can use them to solve low to mid-complexity programming tasks on your own, you should be fine. AI contains a lot of mathematics, but the course is designed to be understandable with the knowledge conveyed in a High School education.

Fluency in Python 3 programming and tools.

Participants are required to bring a fully functional programming device (laptop preferred).

This course covers the theory, tools, and techniques associated with systems thinking approach which allows students to understand the relationship and connections between components of a system, instead of looking at the individual components one by one. Moreover, this course provides an introduction to system dynamics modelling for the analysis of business policies and strategies. This online program categorizes students to small working groups regarding the students’ background and offers them special tutorial services for business simulation based on their research interests.

The course uses role playing games and simulation software to develop principles for the successful management of complex strategies. Special emphasis will be placed on the nature of interrelationships between different components of a system, as well as the question of how to quantify time-dependent factors in this context.

This program helps students to develop understanding and proficiency in system dynamics simulation to evaluate the future of one business in the real world by system thinking approach to consider the linear and nonlinear impacts between different components of one business.

Participants of the TU Berlin Summer 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.

It is recommended for students to bring their own laptops to fully participate in the course.

• Fundamentals of mathematics and statistics in Bachelor programs

Today, “green” means much more than just sustainable. “Green” is fair, social, organic, eco, seasonal, responsible and so on. And “green" is not just a question of communication. To operate sustainably means to act differently than before in the planning of the production process: starting with the question of the origin of the raw materials and their degradation conditions through the climate effects of the transport up to the own production.
In this course, students get an introduction to “green thinking”. The focus is on the four big Ps of marketing:
P-roduct: responsibility for suppliers, production processes, green techniques, waste recycling
P-rice: Does green have to be more expensive? New pricing models for sustainable business
P-lacement: Optimization of your own logistics, green packaging, recycling, upcycling, downcycling
Promotion: Sustainability cannot just be lip service, transparency in communication, green washing vs green marketing if possible
Using selected best cases, we will take a look at which solution approaches have been implemented well or poorly so far.

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.

It is recommended for students to bring their own laptops to fully participate in the course.

The python programming course provides participants with a solid understanding of structured python programming. Some useful python modules (mainly for data processing) will also be learned.

The course is mainly comprised of two parts: python programming and advanced python modules. For the first part, you will learn about basic python programming grammar and syntax including data types, control structures, file operations, structured programming, basic debugging, etc. You will gradually be effective to use Python codes to solve certain tasks based on a lot of practice and gain knowledge of simple algorithms. In the second part, you will learn some of the most common and popular python modules in data collection, processing, analysis, and visualization.

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 knowledge of math and programming is recommended.

Technical Requirements

We will ask participants to fulfill the following technical requirements:

Fully functional device (laptop, tablet, PC)

Stable internet connection

Software: Zoom (App installed on the desktop or over browser. Participants are requested to use their real name as the zoom account name)

Recommended: external headset for better sound quality

The python programming course provides participants with a solid understanding of structured python programming. Some useful python modules (mainly for data processing) will also be learned.

The course is mainly comprised of two parts: python programming and advanced python modules. For the first part, you will learn about basic python programming grammar and syntax including data types, control structures, file operations, structured programming, basic debugging, etc. You will gradually be effective to use Python codes to solve certain tasks based on a lot of practice and gain knowledge of simple algorithms. In the second part, you will learn some of the most common and popular python modules in data collection, processing, analysis, and visualization.

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 knowledge of math and programming is recommended.

Technical Requirements

We will ask participants to fulfill the following technical requirements:

Fully functional device (laptop, tablet, PC)

Stable internet connection

Software: Zoom (App installed on the desktop or over browser. Participants are requested to use their real name as the zoom account name)

Recommended: external headset for better sound quality