Academic Writing

  • Wer?

    Juliane Strohschein

  • Wann?

    Semester course, every second wednesday
    Start: Wednesday, 14.10.2020, 4pm-8pm

  • Wo?


  • Credits

    2 SWS / ECTS 1

  • Kursnummer


Aims and Content

“Learning to write in the academic world means to learn the rules of the game in order finally to be able to participate in it.” (Kruse, 2003) Academic writing is a process, a product of that process and a set of skills necessary in the process. Acquiring complex academic literacy is the aim of this class while practicing English for Academic Purposes - for most of us English is not the native language.

The challenges raised by academic writing are linked with core strengths which students need to accomplish their study program satisfyingly. In class we will practice:

  • linguistic processes: how can you put in accurate words what you have in mind?
  • logic processes: how can you organize knowledge, time, ideas and text in a logical sequence while following a set of academic standards?
  • standards to pertain to in the process: The existing knowledge that each new text builds on needs to be honoured and referred to. Academic texts have to be differentiated, clear, reliable, transparent, valid and so on.
  • Comprehensive skills: critical thinking, self-management, exchange and feedback

A majority of students state to have problems with academic writing and working at some point in their career. The main approach of the class is to provide a structured space to address and deal with these concerns. There will be regular opportunities for dialogue, discussion and feedback.

The focus of the class is to support students to see themselves as writers who express themselves and participate in the academic world.


  • Macgilchrist, 2014, Academic Writing
  • Morley, 2014, Phrasebank
  • Pavlenko et al, 2014, Academic Writing Global Views
  • Wayne et al, 2008, The Craft of Research

Berlin as a Place of German History, Culture and Politics

  • Wer?

    Justinus Pieper

  • Wann?

    Block seminar
    23./24.10. and 30./31.10.2020

  • Wo?


  • Credits

    2 SWS / ECTS 1 - (2.5 bei Zusatzleistung)

  • Kursnummer


Teaching Program:

"The Course „Berlin as a Place of German History, Politics and Culture“ normally is held on the spot: Visiting certain Quarters, attending several museums, in some of them like Hohenschönhausen Memorial guided in addition by Contemporary witnesses. Due to Covid 19 these witnesses and experts (members of the VDI, the art and cultural scene etc.) will be with us to share and discuss their view from time to time while connected online. Important exibits will be shown within their historical context. Regular participation is to be gratified by 1 ects, an additional presentation of 20 minutes shall provide you with 2.5 ects altogether.


Exchange and guest students

Proposed Literature:

Berlin as a Place of German History, Politics and Culture

  • Wer?

    Stefan Hauer

  • Wann?

    Semester course, weekly
    Beginn 19.10.2020
    Monday  2 - 4 pm

  • Wo?


  • Credits

    2 SWS / ECTS 1 - (2.5 bei Zusatzleistung)

  • Kursnummer


Foreign students are invited to familiarize themselves with German history, culture and politics. Since Berlin plays a major role here, the city is therefore moving into a particularly strong focus.

The course takes place primarily online: In order to get familiar with Berlin’s daily life and lifestyle, you will work on various individual projects. The tasks are announced once a week or every second week so that you have enough time to work on.

In the context of these online projects, you will deal with the history of Berlin (from 1945 until today), learn about the basics of the German political system and get to know major historical sites of the city.  You will also gain an insight into Berlin’s subculture and a brief overview of numerous cultural events that this city has to offer today. Last but not least, you will get familar about the significants of Berlin's Start up scene.

Beside the online projects, a few outdoor excursions are also planned. However, the realisation of these excursions depends on how the situation of the current Corona pandemic will be in Fall.

The course will start on Monday, 19 October 2020. A detailed time-shedule as well as information about the requirements for the awarding of a final grade and the associated credit points (2,5 ECTS)  will be published in time on the Moodle platform.

Berlin International Week (BIW): „Sustainability and Responsibility in the 21st Century“

  • Wer?
  • Wann?

    Participation options, credits and workload:

    Full programme (30 October – 11 November)¹

    Partial programme I – Theory (30 October – 7 November)¹

    Partial programme II - Project work (6 November – 11 November; virtual project kick off mid of October)¹

  • Wo?

    Campus Lichtenberg

  • Credits

    ECTS 5 – Full programme
    ECTS 3 – Partial programme I, theory
    ECTS 3 – Partial programme II, project work

  • Kursnummer


30 October – 11 November 2020


  • Seminars, workshops & case studies about sustainability, responsibility and selected focal topics (e.g. climate, sustainable entrepreneurship)
  • Field trips and discussions with companies, NPOs and NGOs
  • Project work on a real-life challenge provided by companies and not-for-profit organizations to contribute to one of the sustainability goals of the United Nations (SDGs)
  • Pitching the results of project work to jury composed of project partners and professors
  • International lecturers from different parts of the world
  • Online teaching and participation options in case of restrictions because of COVID19

Seminars on

  • Microeconomic foundations of sustainability and CSR: Market failures and opportunism risks
  • Basics of CSR and sustainability
  • Ethical foundations of CSR and sustainability
  • The political and legal framework of CSR and sustainability
  • Psychological aspects of sustainability
  • Sustainable Development Goals
  • Focal topics: Climate change; Sustainable Entrepreneurship; Corona and Sustainability

Future Workshop and Project work

  • Field trips (e. g. Visit of an Urban Farming Project)
  • Real-life challenge / Project Work based on Service Design methodology (e.g. develop a sustainable mobility solution)


Examination forms

  • Presentation and written assignment


  • Free attendance for HWR Berlin students as well as for (exchange) students from our partner Universities and students enrolled at other German Universities

Participation options, credits and workload:

  • Full programme (30 October – 11 November)¹:
    - Participation at the entire week (including online coaching for project work)
    - Submission of project paper until 23 December)
    - 100 lecture hours, 50 additional study hours (5 ECTS)²
  • Partial programme I – Theory (30 October – 7 November)¹:
    - Workshops, seminars and field trips
    - Reflection task (presentation and written report)
    - 65 lecture hours, 25 additional study hours (3 ECTS)³
  • Partial programme II - Project work (6 November – 11 November; virtual project kick off mid of October)¹:
    - Project Kickoff (as a virtual meeting in October 2020)
    - Future workshop and sustainable Innovation seminar
    - Reflection tasks (only presentation)
    - Project work + submission of project paper until 23 December
    - 52 lecture hours, 38 additional study hours (3 ECTS)³

Admission requirements

  • English language proficiency: Minimum Level B2 (provision of proof required)

Registration (until 30 September 2020)


1 Dates refer to lecture times at HWR campus. Project preparation and virtual project kick-off as well as time for elaboration of written assignment is not included.

2 Credits for full programme can be assigned for students of Business Administration of HWR Berlin. Department of Cooperative studies / students that register within General Studies / Studium Generale.

3 Only for students that register within General Studies / Studium Generale. Other students please contact your home institution.

For all exchange students: Please note, a separate Transcript of Records will be issued. It is not possible to transfer the credits to your main ToR you will be obtaining for your exchange semester at HWR Berlin.

Bewerbungstraining für den englischsprachigen Raum - Job Application

  • Wer?

    Amanda Wichert

  • Wann?

    Saturday, 28.11.2020

  • Wo?


  • Credits

    1 SWS / ECTS 0.5

  • Kursnummer


Applying for a job successfully requires you to know more than just the basics of how a job application is put together. To really market your skills effectively, you need to know a lot about who you are, what you have to offer, what you want to achieve, and how to put your best qualities forward. A solid understanding of the English-language job application process will help you on your way to making the best first impression.

  • Where can I look for job postings, and how do I interpret English-language postings?
  • What documents do I need when applying in English?
  • What do I need to know about the format and structure of my CV/resume and cover letter?
  • What should I include in my cover letter and resume? What should I leave out?
  • What do I need to know about the selection criteria for jobs in the English-speaking job market?
  • What should I do to prepare for a job interview in English?
  • What interview questions can I expect to be asked and how can I prepare myself to best answer these questions?

Class Structure:

This seminar will consist of one 2,5 hour live session online (on the 28th of November at 10:30am) as well as asynchronous activities (videos & career/writing assignments in Moodle) with feedback.

One on One Consultations (appointments to be made separately/individually):

In these individual application review sessions, we will go over your application together. We will look at the language (grammar, clarity, and style) as well as the content and format and discuss how you can best present yourself in order to achieve your goals. You will have the opportunity to ask specific questions, get feedback on your CV and cover letter, and on interview questions. Sessions will be held digitally.

Digitale Interkulturelle Kommunikation

  • Wer?

    Irina Slot

  • Wann?

    14-tägig, ab 19.10.2020
    Mo, 16–20 Uhr

  • Wo?


  • Credits

    2 SWS- ECTS 1 - (2.5 bei Zusatzleistung)

  • Kursnummer



Am Ende dieser Online-Lern-Veranstaltung werden die Teilnehmenden:

  1. Anhand der anschaulichen Kultur-Modelle Gründe für interkulturelle Missverständnisse verstehen und diese in effektive persönliche Kommunikationsstrategien umsetzen können
  2. Positive und kreative Aspekte der interkulturellen Kooperation für sich persönlich und in Projektarbeit realisieren können
  3. Frust aus virtueller Kommunikation im Studium und bei der Arbeit reduzieren


  • Kultur-Pyramide und Zwei-Eisberg-Model
  • Kulturdimensionen nach Edward Hall und Geert Hofstede
  • Schulz-von-Thun-Kommunikationsmodell im interkulturellen Kontext
  • „The sense of Dissonance“ nach David Stark und positives Konfliktmanagement
  • Besonderheiten der virtuellen Kommunikation - generell und im interkulturellen Kontext
  • Effektives Überwinden von sprachlichen und technischen Barrieren in der digitalen Kommunikation


  • Präsentation

Sechs workshops á sechs akademische Stunden

Introduction To Data Science: grow your data skills stack

  • Wer?

    Marcus Birkenkrahe

  • Wann?

    Seminar, wöchentlich
    ab 14.10.2020
    Mi, 19.00–21.00 Uhr

  • Wo?


  • Credits

    2 SWS / ECTS 1 - (2.5 bei Zusatzleistung)

  • Kursnummer


Introduction To Data Science: grow your data skills stack

Data science is about how to get data to work for us, to give us its hidden treasures. Data science has been called "the sexiest job of the 21st century". Even if you don't want to become a professional data scientist, it’s helpful to master the basic concepts if you want to succeed in today's highly data-driven business environment. This first of two planned courses focuses on: data science basics, visualization and productivity tools. The course is for everyone who is interested in becoming more data literate and growing their skill stack.

What will you learn?

  • Organise data visually in a way that is clear and informative
  • Find and use data sets from the real world (e.g. COVID-19 data) 
  •  Easily and quickly format data into graphs
  • Understand and present statistical information
  • Understand how modern productivity tools can help you
  •  Complete a sample data analysis project in small steps

What do you need to know?

No prior knowledge required. Both the necessary programming and statistical concepts are introduced in the course using examples and simple mini-projects. Previous programming experience is useful but not important. Curiosity is essential. You will gain data literacy skills by doing this course.

What are the technical requirements?

  •  Internet connection to participate in classes and run software over a network
  • Computer running Windows 10/8/7 or MacOS 10.13+ or Linux (e.g. Ubuntu 16+). 

What will we do?

  • Learn key fundamental concepts through interactive lectures
  • Work through basic examples and demo applications together
  • Solve small data analysis problems
  • Practice data science using a wide range of simple exercises
  • Explore interesting data science projects

What can you read? (Free resources)

  1. fasteR: Fast Lane to Learning R, by Norman Matloff, 2020.
  2. Introduction to Data Science - Data Analysis and Prediction Algorithms with R, by Rafael A. Irizarry (CRC Press, 2020).
  3. YaRrr! The Pirate’s Guide to R, by Nathaniel D. Phillips, 2018.
  4. Data Science in a Box, by Mine Cetinkaya-Rundel, 2020.

Who will teach this course?

  • Lecturer: Prof. Dr. Marcus Birkenkrahe
  • Brief bio: Professor of business informatics at HWR Berlin since 2007. PhD in theoretical physics (1994). Executive at Accenture and Royal Dutch Shell (1995-2002). Executive Coach, lecturer and consultant (2003-2006). Favorite hobby: gaming (PS4). Favorite authors: Henry James, Fjodor Dostoyevsky, Theodor Fontane. Favorite films: Pride & Prejudice, Key Largo, LOTR, Oblivion. Favorite series: Person of Interest, Rick & Morty, IT Crowd. Favorite Games: Sekiro, Fallout 4, No Man’s Sky, AC Odyssey. Favorite software: Emacs, Org-mode, GNU/Linux, R.
  • LinkedIn | Twitter | Researchgate | Blog | Github | 

When will the course be?

  • Every Wednesday from 19:00-21:00 hrs starting 14-Oct-2020 until 10-Feb-2021
  • 16 meetings altogether. No classes on: December 23 & December 30, 2020.

Where will the course take place?

  • Moodle (asynchronous)
  • Big Blue Button (synchronous)
  • Live sessions will be recorded.

How many credits can I earn?

1 ECTS credit for active participation (> 80% of available challenges) + 1.5 ECTS credits for completing the final project with a passing grade (> 50%) = 2.5 ECTS credits max

What's next?

This basic course is offered in the winter term only. A follow-up course is planned for summer 2021: "Introduction to machine learning". This course will focus on: data wrangling, prediction algorithms and even more productivity tools.