CDPE Approved MOOCS 2020:
Transferable skills Doctoral Training (Cross-Discipline)
Exceptionally, for 2020, the CDPE will allow PhD students to participate to specific transferable skills training MOOCS (detailed below) that are made online and are not affected by the COVID-19 issues. The credits for these MOOCS contribute to the 18 ECTS required credits of training. However, from the 18 ECTS required credits, at least 9 ECTS must be from the FNRS PsychEduc. The remaining credits can come from other EDTs, or from the CDPE approved MOOCS training courses below.
Important: If you participate to a MOOC, you must record evidence of your work, including the number of hours that you spend in the training course. In addition, after the training course, we would like that you explain how you will apply the training to your PhD, and the amount of time that you reflected on the learning material. This allows us to estimate the work effort involved in the training (and we will apply the ECTS conversion of 1 ECTS = 25-30 hours of work effort).
The MOOCS are intended for this year only. However, the CDPE plans to monitor whether the use of MOOCS brings benefits to the doctoral training programme. If the use of MOOCS is successful, we will consider adopting MOOCS into our future training programmes.
MOOCS for 2020
- Research impact: Making a difference (University of Glasgow, UK) FutureLearn (3 weeks x 4h each week) h ttps://www.futurelearn.com/courses/research-impact
University research has always made a difference to human understanding. Sadly, the importance of this work isn’t always communicated to the world outside of academia - leading many academics to believe that research is undervalued in society. In this course, you’ll discover how to co-create research impact with a wide range of stakeholders, such as industry and government. You’ll also learn to communicate the benefits that impact-driven research brings to the economy and society. Ultimately, you’ll be able to better understand, communicate and create research impact.
- What is research impact and why it’s important
- How to communicate research impact
- Co-creating research impact with stakeholders
- Success stories of stakeholder-researcher interaction
- Shaping policy
- Training and education in research impact skills
- What makes an effective presentation? (Coventry University, UK) FutureLearn (2 weeks of 3h each week) h ttps://www.futurelearn.com/courses/what-makes-an-effective-presentation
On this course, you will have the opportunity to discuss the features of an effective presentation and investigate how to design and develop your own presentation. You will explore effective presentation techniques to help you evaluate and improve your presentation skills. You will also have the opportunity to deliver a mini presentation and receive feedback from your peers.
- Delivering effective presentations
- Presenting in practice
- How to deal with nerves
- Science communication and public engagement (University of Madrid, ES) FutureLearn (3 weeks of 2h) https://www.futurelearn.com/courses/science-communication-for-researchers
Good science communication ensures the public engage with and understand relevant scientific research. On this course, you will learn how best to share your science findings with your intended audience. You’ll explore how the relationship between society and science has evolved over time, and find out how traditional and social media can be used to share research. You’ll learn to identify your target audience and define your message to build a shareable story. You’ll discover guidelines for working with journalists, and how to host small events to share information with the public.
- Why is science communication important?
- Defining a message and the intended audience
- Going from the message to a story
- Small-scale public science dissemination events
- The relationship between scientists and journalists
- Research Writing: How to Do a Literature Review (University of Wollongong, Australia) FutureLearn (4 weeks of 4 hours each week) https://www.futurelearn.com/courses/research-writing
Learn how to write a strong literature review with this course designed for research students, at any level, in any discipline. Many students are required to write a critical review of current academic literature in their area of interest - researchers, postgraduates and undergraduates. Developing a great critical review is vital, but not always taught. In this course, you will be guided through this complex process step-by-step, seeing examples, finding information and developing useful questions that will help you plan, draft and refine a critical discussion of what is and is not yet known about your topic. This course has been created for those pursuing research, at PhD level or not – anyone who wants to improve their ability to write about academic literature for research purposes.
- Understanding the literature review as a genre, and its fundamental role in all serious investigations and research projects
- Developing a useful list of search terms and understanding where to use them to find the most relevant literature available
- Developing a professional bibliography and annotating it with critical evaluations of readings
- Asking good questions to guide the reading and writing process
- Planning a critical discussion in response to specific questions and based on evidence from the published literature
- Academic writing made easy (Technical University of Munich, Germany) edX (6 weeks with 2-3h each week) https://www.edx.org/course/academic-writing-made-easy
This MOOC takes you through the basics of academic writing step by step. From structuring and organising an academic text to avoiding common pitfalls that can negatively affect your credibility, this 6-week course offers a guide for those who want to improve their writing. It looks at various components that will make your academic writing stand out for all the right reasons, including paragraphing, style, tone, paraphrasing and punctuation. Using samples of student writing it also gives you tips on what to avoid and explains why. Each week is comprised of video lessons, followed by exercises and peer-review tasks, taking you through various aspects of academic writing. The course requires upper-intermediate (B2) to advanced English (C1).
- Week 1 Rhetorical Preferences: Meeting the expectations of your target group
- Week 2 Genre: Differentiating between types of scholarly texts
- Week 2 The Writing Process: Overcoming writer's block
- Week 3 Cohesion: Making your ideas flow logically
- Week 4 Sentences: Writing reader-friendly sentences
- Week 5 Credibility: Convincing your peers to accept and believe what you write
- Week 6 Punctuation: Polishing your text
- Week 6 Putting it all together: Overcoming the last hurdles
- Introduction to Data Analysis using Excel (Microsoft) edX (4 weeks and 4 hours each week) https://www.edx.org/course/introduction-to-data-analysis-using-excel-2
The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. In this course, you will learn how to perform data analysis using Excel's most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.
Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards.
- Create flexible data aggregations using pivot tables
- Represent data visually using pivot charts
- Calculate margins and other common ratios using calculation on pivot table
- Filter data using slicers in multiple pivot tables
- Create aggregate reports using formula based techniques
- Analyzing and Visualizing Data with Excel (Microsoft) edX (6 weeks with 2-4 hours each week) https://www.edx.org/course/analyzing-and-visualizing-data-with-excel-2
Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and even consumed on mobile devices.
- Week 1: Setup the lab environment by installing Office applications. Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data. Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.
- Week 2: Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table. Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data. Create a mash-up between data from text-files and data from a SQL database.
- Week 3: Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions. Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.
- Week 4: Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons. Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI. Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.