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ADA Online Autumn School 2021​
Applications open

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​​​​​​​Workshop Info​|​​​​​​Cost|​​​​​​Format|​​​​​​Cance​llations|​​​​​​Apply​​



The ADA will host a fully online Doctoral Autumn School this year with three courses that take placeover the period of 3 - 10​ May 2021. These courses, as always, will offer high impact research design and methodology training, and academic career development for researchers at the late phase Masters stage and beyond, doctoral candidates (current and prospective) and their supervisors.

Please note that each course below has different offering dates. You can only attend one course between course 1 and 3 and course 2 and 3, as some of the days overlap between these courses.

1 - Graphics with R: Introduction to ggplot2 (3 - 4 May​ 2021) *New
R has great features to make graphics and to produce attractive visualisations. This workshop is intended for R users who want to take full advantage of the graphical possibilities of the ggplot2 package.
Prof An Carbonez (KU Leuven, Belgium)  ​|Read ​more​|​ 

2 - Introduction to ATLAS.ti v9 (Windows version)​ (6, 7 and 10 May 2021)
This course introduces some of the key functions of ATLAS.ti which are invaluable when carrying out a literature review or analysing qualitative data (photographs, interviews, open-ended survey questions and even Twitter). 
Dr Lauren Wildschut (CREST, Stellenbosch University) ​|Read m​ore​|  

​​​3 - Academic writing skills for doctoral students (3 - 7 May 2021)
"Academic writing is no-one's first language." This workshop demystifies the academic writing process and offers practical stategies to help you develop your writing skills.
Ms Selene Delport (Writing Lab​, Stellenbosch University) ​|Read m​ore​|

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​​​|Apply Here|​​


Costs:


1. Graphics with R: Introduction to ggplot2
2. Introduction to ATLAS.ti v9 (Windows version)
3. Academic writing skills for doctoral students
Course 1 ​Dates: 3 - 4 May 2021
Course 2 Dates: 6, 7 and 10 May 2021
Dates: 3 - 7 May 2021
Course 1 Rate: R2 700
Course 2 Rate: R4 700
Couse 3 ​Rate: R6 200

Additional information

  • Last day for payment and applications: 23 April 2021
  • Course specific information is available on the "Workshop Information" section below. 

Format:

  • All workshops are taught in English, and take place online on Microsoft Teams.

​​Key​​

  • Open - the course is open for booking and there are open spaces available. 
  • Waiting List - a waiting list is forming, but we're waiting on payment for the courses from delegates. Please register if you would like to attend and we will place your name on the list.
  • Closed - the course has a long waiting list and we have closed bookings.

The ADA reserves the right to cancel a course if the minimum attendance figures are not reached. Paid delegates will be refunded in full in the case of a course cancellation.

Cancellations: 

  • The last day for withdrawal from the ADA's Autumn School is 19 April 2021 - applicants will receive a 80% refund up until this date and thereafter a 50% refund until 23 April 2021. After 23 April 2021 there will be a 100% cancellation fee applied unless someone else can take your place.
  • No refund will be paid if attendance is cancelled after 23 April 2021.
  • The ADA reserves the righ​t to cancel a course up to 19 April 2021.



​​
​​Presenters
Prof An Carbonez (KU Leuven, Belgium)
​Dates
The course takes place from 3 – 4 May 2021.
1 orientation session on and on- boarding on 30 April 2021 + 2  days of course work.​
​Duration

Delegates are expected to log in before the course starts and to complete the on-boarding sessions before  the course commences to ensure that they have access to the module online, and can access the different sections and materials needed for the course.
-          The online module will be open from 3 to 4 May 2021.
-          On-boarding takes place on 30 April 2021
-          The hands-on instruction will take place from 3 to 4 May 2021
-          Access to the online materials will expire on 4 May 2021 at midnight
​Cost​
Rate: R2 700
Format
Monday, May 3, 2021
9:30: log in on Teams
9:30 – 9:45: live session on Teams: course welcome
9:45- 10:30: self study: 1. Introduction + Build a plot layer by layer.
10:30-11:00: break
11:00 – 13:00 : self-study: Build a plot layer by layer + Extras
13:00 – 14:00 : lunch
14:00 – 15:00: self-study : exercises
15:00 – 16:00: Live session on Teams
16:00 – 17:00: personal study
Due by 17:00: upload exercises to Module
 
Tuesday, May 4, 2021
9:30: log in on Teams
9:30 – 9:45: live session on Teams: Q&A session about previous day
9:45- 10:30: self study: Applications
10:30-11:00: break
11:00 – 13:00 : self-study: Applications + adding statistical summaries
13:00 – 14:00 : lunch
14:00 – 15:00: self-study: exercises
15:00 – 16:00: final live session on Teams
16:00 – 17:00: personal study
Due by 17:00: final upload exercises to Module
​Requirements
Participants should be able to read and manipulate data in R. If you have no idea of what the below commands mean, then the course is too advanced for you. No proior knowledge on statistics is assumed.
"install.packages("readxl")
library(readxl)
mydata <- read_excel("C:/Data/fish.xlsx")
names(mydata)
head(mydata)
sub.males<-mydata[mydata$sex==”male,]
sub.females<-mydata[mydata$sex==”female”,]
mydata$pass<-as.factor(ifelse(mydata$examresult<10,0,1))
levels(mydata$pass)<-c(“fail”,”pass”)
table(mydata$pass)​"

Delegates are required to test their MS Teams compatibility, attend the orientation session on 30 April 2021 (about 45 minutes) and fully complete the on-boarding sessions before the course commences to ensure that we are able to resolve any accessibility issues in good time.
​Target audience

Anyone who is interested in improving their graphical skills in R and wanting to produce high-quality graphs.

What to bring? ​Participants will have to install the most recent version of R and R-studio. 

​It is required for the participants to use their own devices (laptop, smartphone) to participate in the course.​ Participants should also make sure they have reliable and fast internet to make sure that they are able to join the real-time webinars on Microsoft Teams, as well as to access the self-paced learning activities.


Course Description

This course gives an introduction to the use of the R package ggplot2. R is a programming language for data analysis and graphics. In two days, the participants will learn how to make attractive plots.
 
The course includes:
  • Grammar of ggplot2
  • Build a plot layer by layer by ggplot()
  • Working with scales, colour, shape and titles
  • Extra facilities
  • Adding statistical summaries
  • Applications
  • Exercises 
The content is based on the book “ggplot2, elegant graphics for data analysis” by Hadley Wickham, Springer. 


Course Outcomes

A​t the end of the course, the delegates will be able to create attractive visualisations with ggplot2.


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​​Presenters
Dr Lauren Wildschut (CREST, Stellenbosch University)
​​Date
6, 7 and 10 May 2021
​​Duration
The course takes place from 6, 7 and 10 May 2021.
1 orientation session + 4 days online teaching
Delegates are expected to login before and complete the on-boarding sessions before the course commences to ensure that they have access to the module online, and can access the different sections and materials needed for the course.
  • The online module will be open from 6, 7 and 10 May 2021, after which access to the module expires
  • On-boarding takes place on 5 May 2021
​Cost
Rate: R4 700
What to bring?
Delegates will maximise the utility of the course if they can use their own data in the practice sessions but this is not a requirement.
Format​
This online course will include:
  • Various synchronous and asynchronous learning and collaborative opportunities
  • Working in smaller online groups
  • Access to a stable internet connection for the duration of the course
  • Online availability from 09:00 to 16:00 (excluding breaks and lunchtime) for the duration of the course
  • Willingness and preparedness to participate in all individual and collaborative online activities (synchronous and asynchronous)
Thursday 6 May 2021
(9h00 – 11h00) Online Attend live Teaching Session 1
  • Creating a project
  • The ATLAS.ti interface
  • ​Adding documents (photos and interview)
  • Coding
  • Retrieval
(11h00 – 14h00) Offline Do: Practice task 1
(14h00 – 16h00) Online Attend live Teaching Session 2
  • Consultation on Practice Task 1
  • Working with codes
  • Word Cloud
  • Code document table
After 16h00 Offline Do: Practice Task 2

Friday 7 May 2021
(9h00 – 11h00) Online Attend live Teaching Session 3:
  • Consultation on Practice Task 2
  • Adding documents (survey – open-ended questions)
  • Networks
(11h00 – 14h00) Offline Do Practice Task 3
(14h00 – 16h00) Online Consultation on Practice Task 3
 
Monday 10​ May 2021
(9h00 – 11h00) Online Attend live Teaching Session 4:
  • Working with literature
  • Writing up findings
(11h00 – 14h00) Offline Do Practice Task 4
(14h00 – 16h00) Online Consultation on Practice Task 4
Consolidation and queries on course
​Requirements
Participants should be computer literate and download the demo of ATLAS.ti v9 for Windows prior to the session. 
Mac users may find it difficult to follow the Windows processes. 
  • Access to a stable internet connection for the duration of the course
  • Online availability from 09:00 to 16:00 (excluding breaks and lunchtime) for the duration of the course
  • Willingness and preparedness to participate in all individual and collaborative online activities (synchronous and asynchronous)
  • Access to a wi-fi enabled laptop / tablet for the duration of the course.
  • Delegates are required to test their MS Teams compatibility, attend the orientation session on 5 May 2021 (45 minutes) and fully complete the on-boarding sessions before the course commences to ensure that we are able to resolve any accessibility issues in good time.
​Target audience
This course will benefit delegates who want to learn how to manage and analyse articles for their literature review or do a systematic analysis of the qualitative data they have collected for their thesis or project​.
Course Format
The course will involve online teaching followed by a practice session by the delegates offline. There will also be consultation sessions for individuals who are struggling with elements of the software programme before sessions start in the morning​.


Course Description

This course introduces some of the key functions of ATLAS.ti which are invaluable when carrying out a literature review or analysing qualitative data (photographs, interviews, open-ended survey questions and even Twitter). Delegates will learn how to manage their data, analyse data and develop useful outputs for visualizing their data.

Course Outcomes

​After completion of the course, participants will be able to:

  • Use ATLAS.ti for a range of analysis tasks
  • Understand the various approaches to coding data
  • Be able to write up analysis of qualitative data in innovative ways



​​Presenters
Ms Selene Delport (Writing Laboratory​, Stellenbosch University)
​​Date
3 - 7 May 2021
Duration
The course takes place from 3 - 7 May 2021.
1 orientation + 5 days online teaching. The course cost includes two, free one-on-one sessions with an SU writing lab consultant: One during the course duration and one by the end of the year.

Delegates are expected to login before and complete the on-boarding sessions before the course commences to ensure that they have access to the module online, and can access the different sections and materials needed for the course.
  • The online module will be open from 3 - 7 May 2021, after which access to the module expires
  • On-boarding takes place on 30 April 2021
​Cost
Rate: R6 200
​Format
The five mornings will consist out of a presentation that includes practical exercises. The presentation will take place virtually on MS Teams from 09:00-13:00 with a break from 10:30-11:30. The presenter will lead interactive discussions and facilitate group exercises. Delegates are encouraged to participate in all the activities and discussions to help promote a learning environment that functions as a community of learners. Learning from peers is an important part of this course as we jointly discuss key aspects of academic writing. During the afternoons, delegates will have the opportunity to prepare for the next day’s sessions in the form of reading and writing tasks as well as discuss their writing one-on-one with a trained writing consultant during the course, and one later in the year. 
​Requirements
There are no prerequisite requirements for this course as the facilitator and consultants focus on the individual needs of each delegate.

Delegates are required to test their MS Teams compatibility, attend the orientation session on 30 April 2021 (45 minutes) and fully complete the on-boarding sessions before the course commences to ensure that we are able to resolve any accessibility issues in good time.
​​Target audience
Delegates who have already started writing their doctoral proposals or dissertations and want practical support to improve their texts as well as develop their own writing skills.
​What to Bring?
Delegates are encouraged to bring drafts of their own writing to the workshop
Course Format

  • ​The course will feature a blend of teaching and learning styles:
    • This course will be taught online, using a blend of asynchronous and synchronous teaching, as well as online live teaching. 
    • ​​You should allocate 6 - 7 hours for the day (excluding breaks) to the course so that you can sufficiently go through the materials and apply what you have learned or incorporate feedback from the lecturer.​
    • The course cost includes two, free one-on-one sessions with an SU writing lab consultant: One during the course duration and one by the end of the year.


Course Description
The facilitator takes an ‘outside-in’ approach. The facilitator will start with the general conventions of academic writing and then look at the external structure – how to build a skeleton for your text. She will then move onto the internal structure – how to pack the meat onto the bones so that you eventually have a functioning body of text.

Monday
  • Gaining and keeping momentum in writing
  • Features of academic writing
  • Audience and purpose
  • Academic writing style
  • One-to-one consultations
Tuesday
  • External structure: Titles and headings
  • External structure: The table of contents
  • Writing introductory and concluding chapters
  • One-to-one consultations
Wednesday
  • Writing the literature review
  • Ethical writing practice: Plagiarism and referencing
  • Developing your own academic voice
  • One-to-one consultations
Thursday
  • Internal coherence: Paragraphing
  • Constructing an academic argument
  • One-to-one consultations
Friday
  • Unlocking the research report: writing the abstract
  • How to do self-revision and give peer feedback

Course Outcomes

​After completion of the course, participants will be able to:

  • Develop their own writing practice
  • Critically read their own texts
  • Develop their skills as editors of their own texts
  • Refine their own academic voices


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