Shaping your research career during your PhD - Faculty of Medicine

Who: PhD students at the Faculty of Medicine

When: 23 august 2024

Deadline: 02.08.2024

Duration: 1 full day

ECTS: 1

Max no. Of participants: 35

Course organizers: Pascal Madeleine, Kristian Østergaard and Salome Kristensen

Course lectures: Prof. Pascal Madeleine (PhD study director), Assoc. Prof. Salome Kristensen, Prof. Sten Rasmussen, and Kristian Østergaard

Place: Aalborg Campus – Slv 249/11.00.032 (36 pers)

Contents:

A PhD study from the Doctoral School in Medicine, Biomedical Science and Technology is not only an outstanding achievement, but also a springboard for future development. It is so that many PhD students will pursue their career in other research and innovation environment like industry, hospital, and public organization. It is thus of extreme relevance to plan your career development based on priorities, possibilities, and goals during your PhD study. The objective of this PhD course is to provide PhD students with tools that can help you to make a career development plan.

This one-day course will explore requirements of pursuing a career within academia as well as within medicine, industry and elsewhere.

You will also have the possibility to start working on how to improve your impact and gain experience with creating an effective academic profile through your CV, online presence, and a dissemination plan. As part of these reflections, AAU can offer career profile test and an individual career talk.

Tentative program:

9:00-9:30 Introduction to the course and presentation by Pascal Madeleine

9:30-10:15 Mads Bang, AAU Innovation. From Research to Business

10:15-10:30 Break

10:30-11:15 Presentations from Sten Rasmussen and Salome Kristensen (Department of Clinical Medicine)

11:15-12:00 Round table 1: Questions to Camilla Vasekjær Aakjær Andersen, Salome Kristensen og Sten Rasmussen

12:00-12:30 Lunch

13:00-14:00 Round table 2: Questions to Kristian Hennings, Christopher Aboo and Kenneth Kastaniegaard

14:00-14:30 Career planning: Taking care of you career - the art of moving. Kristian Østergaard

14:30-14:45 Break

14:45-15:15 Exercise: Career Plan

15:15-15:30 Discussion and arranging potential individual sessions. Kristian Østergaard, Salome Kristensen and Pascal Madeleine

Important information concerning PhD courses: We have over some time experienced problems with no-shows for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at aauphd@adm.aau.dk

Course name:

Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search, Fall (2024)

Description:

Welcome to the course Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search.

This course is aimed at doctoral students and researchers within health science. You will be introduced to methods, techniques, and tools relevant for searching, evaluating, and organizing literature. During the course, you will learn how to design a search strategy and to conduct and document a systematic search.

The course will cover these essential areas:

• Health scientific information search: How to use tools like PICO to formulate structured search queries for use in bibliographic databases such as PubMed and Embase. How to choose the right databases for your research question. Training in PubMed and Embase using structured queries with the MeSH and EMTREE tools. Focus will be on your own research question.  
• Documentation and organization of search results: How to document the search and make it transparent to others by using the PRISMA flow diagram. You will be introduced to systems that can facilitate the process of organizing, screening, and handling references from multiple databases and sources.
• Making reviews: How we make sure that the search is exhaustive and as relevant as possible and meets the requirements of different types of reviews.
• Additional search methods: How to improve or supplement your search by using other search methods. You will be introduced to known methods such as citation searching but also to more recent methods such as text mining tools.

The course is a “toolbox for research”-course with a mix of presentations and hands-on training. You can either work individually focusing on your own PhD-project, or in small groups with a shared focus.

Preparation before the course: Some reading previous to the course should be expected.

Exercises: There will be both class exercises and a home assignment. The home assignment is introduced during the course. You are required to finish the home assignment at home and return it by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.

Course language: English

Important: Remember to bring your computer

Organizer: Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk

Lecturers:  Conni Skrubbeltrang, librarian, M.Li.Sc. e-mail: cs@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk

ECTS: 1

Number of participants: 20

Time:  29 October 2024 from 9-15

Place: Seminar room Einstein, floor 0, Kroghstræde 3, 9220, Aalborg Øst

Deadline: 8 October 2024

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Couse name:

Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search, Spring (2024)

Description:

Welcome to the course Health Scientific Information Searching: Hands-on training and methods for conducting a systematic search.

This course is aimed at doctoral students and researchers within health science. You will be introduced to methods, techniques, and tools relevant for searching, evaluating, and organizing literature. During the course, you will learn how to design a search strategy and to conduct and document a systematic search.

The course will cover these essential areas:

• Health scientific information search: How to use tools like PICO to formulate structured search queries for use in bibliographic databases such as PubMed and Embase. How to choose the right databases for your research question. Training in PubMed and Embase using structured queries with the MeSH and EMTREE tools. Focus will be on your own research question.  
• Documentation and organization of search results: How to document the search and make it transparent to others by using the PRISMA flow diagram. You will be introduced to systems that can facilitate the process of organizing, screening, and handling references from multiple databases and sources.
• Making reviews: How we make sure that the search is exhaustive and as relevant as possible and meets the requirements of different types of reviews.
• Additional search methods: How to improve or supplement your search by using other search methods. You will be introduced to known methods such as citation searching but also to more recent methods such as text mining tools.

The course is a “toolbox for research”-course with a mix of presentations and hands-on training. You can either work individually focusing on your own PhD-project, or in small groups with a shared focus.

Preparation before the course: Some reading previous to the course should be expected.

Exercises: There will be both class exercises and a home assignment. The home assignment is introduced during the course. You are required to finish the home assignment at home and return it by a specific date.

Accommodation: There will be coffee and tea during the day. However, you will have to bring your own lunch. Alternatively, you can buy food at the canteen at Kroghstræde 3.

Course language: English

Important: Remember to bring your computer

Organizer: Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk and Louise Thomsen, librarian, M.Li.Sc e-mail: lt@aub.aau.dk 

Lecturers:  Pernille Skou Gaardsted, librarian, M.Li.Sc. e-mail: psg@rn.dk; Louise Thomsen librarian, M.Li.Sc. e-mail: lt@aub.aau.dk

ECTS: 1

Number of participants: 20

Time:  23 April 2024

Place: Seminar room Einstein, floor 0, Kroghstræde 3, 9220, Aalborg Øst

Deadline: 2 April 2024

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to Physical activities for older adults using digital technologies

Programs: HES (BEP, CPM)

***Face to face and online lectures***

This PhD course will take its asset to one of the main challenges that western countries have to face: The ageing of the society. Ageing is associated with physiological deterioration of the cardio-vascular, pulmonary, and musculoskeletal systems. The focus of the course will be on the digital technologies applied in laboratory- and home-based approaches that can be used to maintain or improve the level of activity of older adults. Aspects related to technology readiness level will be approached.

The detailed agenda of the course will be provided on the course web site. Main topics will include lung function, balance, biomechanics, motor coordination, digital technologies.

Literature:
A reading list with relevant papers and/or book chapters will be announced before the course.

Prerequisites:

Basic knowledge on anatomy, physiology and technology is desirable.

Evaluation:

A multiple-choice test will be used to evaluate the student’s outcome of the course.

• Professor Pascal Madeleine, email: pm@hst.aau.dk
• Professor Birthe Dinesen
• Associate Professor Rogerio Pessoto Hirata
•  Invited national and international speakers and speakers from the Dept. of Health Science and Technology, Aalborg University Hospital and Juntendo University (Japan).

Time: Monday 9:00 – 15:30
          Tuesday, Wednesday and Thursday 8:30-15:30

Welcome to Ethnography in health care sciences

Description:

Ethnographic research has become increasingly popular in health care sciences. This course provides a solid methodological foundation for using ethnographic research to understand real-world issues in context. Attention will be paid to how ethnographic strategies can be deployed in health care contexts, as a way of illustrating the more general principles of ethnographic work. 

Over four days, this course will cover core components of the ethnographic approach such as data gathering in fieldwork (various forms of participant observation, interview, field notes and documents), data analysis, ethical issues and writing articles based on ethnography. The course will provide students with an understanding of how to design acand carry out ethnographic research and an awareness of contemporary developments in the theory and practice of ethnographic studies.

The course is designed for participants and lecturers to engage in different activities such as lectures, practical exercises and discussions of some of the theoretical, methodological and practical issues and challenges in using ethnography. Each participant will give a short presentation of his/hers PhD project and receive feedback from lecturers and participants during the course.

Organizer:

Helle Haslund-Thomsen, Associate Professor, PHD, RN et MAH.

Lecturers: Siri Lygum Voldbjerg (SLV), Britt Laugesen (BL) Kirsten Schultz Petersen (KSP),

Helle Haslund- Thomsen (HHT),

ECTS: 3,0

Dates: 16-19 January 2024

Time: 9-16

Place: Room 11.00.032, Selma Lagerløfs Vej 249

Zip code:  9260 Gistrup

City:  Gistrup

Number of seats: max 30

Deadline: 26. Dec 2023




Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.




Literature/Requirements:

Preparation: Participants must provide an abstract or a brief description (approx. 1 page) of a specific issue or challenge related to ethnography concerning their study.

Literature:

Tjørnhøj-Thomsen T & Whyte S. Fieldwork and participant observation, In: Forskningsmetoder I Folkesundhedsvidenskab, Munksgaard, Danmark, pp. 91 – 120.*

Atkinson P. (2015). For ethnography, SAGE, chapter 1 & 2, pp. 1 – 33.

Hammersley Martyn, Atkinson Paul: Ethnography, principles in practice. Third edition. Routledge 2003: Chapter 1 and 2

Madden, Raymond: Being Ethnographic – A guide to the Theory and Practice of Ethnography. Section 1, p 13-55 and section 2, 59-95

Hammersley Martyn, Atkinson Paul: Ethnography, principles in practice. Third edition. Routledge 2003: Field Relations pp 63-97 (Field relations)

Hammersley Martyn, Atkinson Paul: Ethnograpy, principles in practice. Third edition. Routledge 2003: Kap 8. The process of analysis. Pp 158-191.

Higginbottom,Gina, Pillay, Jennifer et.al. (2013). Guidance on performing focused ethnograhies with an emphasis on healthcare research. The Qualitative Report, 18(17), 1-16.

Knoblauch, H. (2005). Focused ethnography. Forum: Qualitative Social Research, 6(3), 1-14.

Gerrish K. (2003: Self and others: the rigour and ethics of insider ethnography. In Latimer J (ed) Advanced Qualitative Research for Nursing, Oxford, Blackwell, 77-94.https://ners.unair.ac.id/materikuliah/ADVANCE%20QUALITATIVE%20RESEARCH%20FOR%20NURSING.pdf

 

Wall, Sarah (2015). Focused Ethnography: A Methodological Adaptation for Social Research in Emerging Contexts [40 paragraphs]. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 16(1), Art. 1,http://nbn-resolving.de/urn:nbn:de:0114-fqs150111

 

Madden, Raymond: Being Ethnographic – A guide to the Theory and Practice of Ethnography.kap 7: Analysis to interpretation. Sage Publications, London 2010 reprinted 2012 pp 136-151.

Campbell E & Lassiter, LE. Doing ethnography today, John Wiley & Sons, 2015, pp: 44-83.

Collins CS, Stockton CM (2018) The Central Role of Theory in Qualitative Research. International Journal of Qualitative Methods Vol. 17: 1–10

Coffey A & Atkinson P. (1996). Beyond the data, in: Making sense of Qualitative Data, pp. 139-182.

Bradbury-Jones C, Taylor J, Herber O. How theory is used and articulated in qualitative research: Development of a new typology. Social Science and Medicine, (2014); 120:135-141.

Gilgun JF. Beyond description to interpretation and theory in qualitative social work research. Qualitative Social Work

(2015) 14(6) 741–752.

Secondary literature:

 

Nutbeam D, Harris E, Wise M. (2010) Theory in a nutschell. A practical guide to health promotion theories. 3. ed. Sydney, AU.   McGraw-Hill.

Mitchell GJ, Cody WK. (1993). The role of theory in qualitative research. Nursing Science Quarterly, 6; 4:170-178.

Sandelowsky M (1993) Theory unmasked: the uses and guises of theory in qualitative research. J Int. Soc. Res 3(11) 570-77.

Campbell E & Lassiter, LE. (2015). Doing ethnography today, John Wiley & Sons, pp. 113 – 137.

Hannes, K., Lockwood, C., & Pearson, A. (2010). A comparative analysis of three online appraisal instruments’ ability to assess validity in qualitative research. Qualitative health research.

Atkinson P. (2015). For ethnography, SAGE, chapter 9-10.

Secondary literature:

Atkinson P. (2015). For ethnography, SAGE, chapter 9, p. 153 – 171.

Coffey A & Atkinson P. (1996). Writing and Representation, in: Making sense of Qualitative Data, pp. 108-138. 

Books 

Atkinson P. For ethnography, SAGE, 2015

Campbell E & Lassiter, LE. Doing ethnography today, John Wiley & Sons, 2015.




Secondary literature:

Spradley, JP. Participant observation, Wadsworth, 1980

 

 

 

Welcome to: PhD Programme: Doctoral School in Medicine, Biomedical Science and Technology

Description: This five-module introduction course (in Danish) offers a comprehensive education and training program in clinical research for health care professionals, incl phd students. The five modules cover the followings topics: 1. Introduction to clinical research, 2. Methods, 3. Legal aspects (incl. data safety and GDPR) ethics, good clinical practice, and project management, 4. Oral and written research dissemination, and 5. Project economy and research funding.

Organizer: Centre for Clinical Research, North Denmark Regional Hospital

Lecturers: Senior clinicians and other health-related research professionals

ECTS: 2



Dates:           1.                  March 13^th
                     2.                  April 29^th
                     3.                  June 3^rd
                     4.                  August 20^th
                     5.                  September 25^th

Time: 8.00 AM – 3.30 PM

Place: The Skou Auditorium, North Denmark Regional Hospital

Zip code: 9800

City: Hjoerring

Number of seats: 24

Deadline: February 21st. , 2024



Important information concerning PhD courses: In conjunction with course the participants will be submitting an abstract to the annual Research Symposium (first Thursday in November) held at the North Denmark Regional Hospital.

Literature/Requirements: At individual level. A basic research textbook (Klinisk forskningsmetode) will be handed out to the course participants.

Registration: Forskningskursus - Fra Idé til Projekt | Region Nordjylland (plan2learn.dk)  

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

Welcome to: Big data - from raw data to data integration in clinical research projects

Program: Main CSLTM

·        Biomedicine (B)

·        Clinical and Pharmacological Medicine (CPM)

·        Clinical Science, Laboratory and Translational Medicine (CSLTM) 

This PhD course will focus on basic-to-advanced bioinformatics workflows of Omics data management and processing in Life & Medical sciences. A key focus will be to address statistical and computational workflows needed to integrate drylab and wet lab based data for tables and visualization for research reports and publicaitons.

Literature/Requirements: Prior to the PhD course a package of literature and an R tutorial must be completed

Prerequisites: None; Basic R skills

 Evaluation: Active participation in the theoretical and experimental course.

Welcome to: Components of causal inference with focus on assumptions and confounding control 

PhD Programme: Epidemiology & Biostatistics 

Purpose: You already know that establishing a causal relationship is distinct from observing an association. While individuals who receive the flu vaccine tend to have a lower mortality rate compared to those who do not, we must consider whether this lower mortality is directly attributable to the vaccine or if it arises from other distinctions between the vaccinated and unvaccinated groups. The concept of confounding introduces a pervasive bias when we compare groups that are not fundamentally similar. It represents a substantial challenge to drawing accurate causal conclusions from observational data. Consequently, the course's primary focus revolves around the essential task of mitigating confounding in epidemiological research using various techniques.

Course objectives: This course focus on models for confounding control (or adjustment), their application to epidemiologic data, and the assumptions required to endow the parameter estimates with a causal interpretation. The course introduces participants to a set of methods for confounding control with focus on survival analysis: methods that require measuring confounders and how this could be applied in perspective to the research question of interest. Specifically, the course introduces aspects of directed acyclic graphs, outcome regression, propensity score methods, and inverse-probability weighting of marginal structural models as means for confounding control, and how this can be implemented and analysed in standard statistical software.

Course format: Class lectures and hands-on workshop

Organizer: Peter Brønnum Nielsen, PhD, Assoc. Prof., Department of Clinical Medicine, AAU

Lecturers: Søren Paaske Johnsen, Peter Brønnum Nielsen, Chalotte W. Nicolajsen, +additional

ECTS: 2.5 ECTS

Place: SUND building, Aalborg University, Selma Lagerløfs Vej 249, room 14.01.003

Zip code: 9260 

City: Gistrup

Number of seats: 25

Deadline: 28 October 2024

Requirements: Basic training in epidemiology required (eg., the AAU course “Epidemiology – Basic principles” or similar). Basic statistics and basic programming abilities with Stata or R. All participants must bring a laptop with either Stata or R installed.

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Couse name: Combining nationwide registries with the national biobank in Denmark 

PhD Programme: EB

Description: Connected through a single personal identification number, the CPR, Denmark contains one of the most comprehensive audits of epidemiologically relevant data globally stored within nationwide registries. Furthering its power, linking the CPR to the Danish National Biobank allows for connecting granular registry data to biological samples stored agnostic of its research purposes. Linking these two resources in tandem can contribute to major scientific advances (examples relevant from the organising department can be found here: https://www.predictibd.dk/publications). In this course, you will be introduced to both nationwide registries and the Danish National biobank and learn how these resources can be combined. You will get an in-depth understanding of the resources through lectures about their content, their advantages and limitations, and through examples of their use for scientific research.

The course will be held in English. 

Specific topics include:

-        Contents of the national registers and the Danish National biobank

-        How to access data and samples

-        Gaining permissions and adhering to GDPR rules

-        Examples of ongoing and recently published studies

Also, you will in groups, prepare and present a mock case study based on data from the registries and the Danish National Biobank.

Organizer: Post.doc. Maiara Brusco De Freitas, post.doc. Anthony Ebert. Post.doc. Adam Koziol, Professor Tine Jess, and Associate Professor Kristine Allin, Center for Molecular Prediction of Inflammatory Bowel Disease – PREDICT. Post.doc. Adam Koziol, Professor Tine Jess, and Associate Professor Kristine Allin, Center for Molecular Prediction of Inflammatory Bowel Disease – PREDICT.

Lecturers: The course will include lectures from researchers at PREDICT and external speakers from Statens Serum Institut.

ECTS: 2,5

Dates: 29-31 May 2024

Time: 9:00 – 16:00

Place: Aalborg University, Copenhagen, Room 2.1.005 (Globegangen), A.C. Meyers Vænge 15, Bygning A, 2450 Kbh S

Zip code:  2400

City:  Copenhagen

Number of seats: 25

Deadline: 12 May 2024

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.

The aim of problem-based learning is to facilitate learning in ways that mirror the professional practice. This has several advantages, including highlighting the applicability of the material being taught and facilitate active learning, which increases student motivation, engagement, and the final learning outcome.

 A feature of problem-based case work is the use of problem triggers placed in a context, e.g., a medical phenomenon. Small groups of students work on the case together: 1) They analyze the problem, 2) identify learning issues for developing an adequate explanation for the phenomenon, 3) follow up with research, and 4) prepare the explanations. When required, they would also determine the course of treatment, action or solution that best address the phenomenon. Focus is on analyzing complex situations with limited information using acquired knowledge and deduction, and learning to understand causalities of biological systems, i.e., the link between symptoms, biological mechanism, clinical outcomes, and applied treatments.

In this way, not only do the students gain knowledge about professional practice, the also come into the mindset of a professional presented with a context to deal with. (Barrows & Tamblyn, 1980)

The case facilitator has a central role in ensuring the optimal outcome of the case-sessions and can “make or break” the sessions. However, the teaching strategy of the case facilitator is vastly different from the role undertaken by a lecturer. Participants on this course will be given a solid introduction to the theoretical and practical foundation of case facilitation. A special focus is on the role of the case facilitator, and the practicalities of case facilitation, down to the level of what to bring to a session and other experiences. A simulated case session will demonstrate the role of the case facilitator.

Contents of lectures:

·        Introduction and theoretical foundation of problem-based case work

·        The important role of the case facilitator and the steps of case start and case end facilitation

·        Hands-on: Solve case under supervision

·        Case facilitator preparation for case sessions

·        Good and bad cases, how to edit and make new cases, and future directions of case work

Literature: Notes, literature, and exercise instruction will be distributed at the course

Prerequisites: None. The course will provide a solid foundation of case work but may also serve as a brush-up course.

Organizer: Associate Professor Tue Bjerg Bennike, email: tbe@hst.aau.dk

Lecturers:           

• Associate Professor Patrik Kjærsdam Telléus
• Associate Professor Tue Bjerg Bennike
• Associate Professor Louiza Bohn Thomsen
• Associate Professor Trine Fink

Welcome to Machine learning in health technology



Program: BEN

Description: Do you want to get into machine learning but do not know where to start? This is a 3-day course with a practical approach to machine learning directed to PhD students at the Faculty of Medicine. The course includes two days of lectures from basics about machine learning to application of models and critical interpretation of the results. Students will be able to work on their own data (or data provided by the lecturers) based on learnings from the first two days and on the third day, results, and plans for optimizing their results will be discussed.


 

The content of the course is:

·        Getting started with machine learning

·        Extracting information from data and identifying the most relevant sources (Feature extraction and reduction of feature space)

·        Classification and regression models

·        Evaluating the performance of a model

·        Working with own data

The lecturers will use Python in teaching, but the principles and concepts are easily transferred to other environments, such as, R, MATLAB, etc.

Literature: Links to pre read distributed in Moodle by the different lecturers in due time before the course.

Prerequisites: An education in health sciences and basic knowledge about statistical concepts.

Evaluation: The student will be evaluated individually through their work with own data or data provided by the lecturers.

Organizer: Thomas Kronborg Larsen, email: tkl@hst.aau.dk

Lecturers: 
• Thomas Kronborg Larsen, email: tkl@hst.aau.dk
• Lasse Riis Østergaard, email lasse@hst.aau.dk
• Camilla Heisel Nyholm Thomsen, email: chnt@hst.aau.dk
• Carsten Wridt Stoltenberg, email: cws@hst.aau.dk
ECTS: 2

Time: 13, 14 November and 17 December 2024 (08:15-16:15)

Place: 
13 & 14 November: Aalborg University, AAU SUND, Selma Lagerløfs Vej 249, 9260 Gistrup, room 12.01.004
17 December: Aalborg University, AAU SUND, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.034

Zip code: 9220

City: Aalborg

Number of seats: 25

Deadline: 23 October 2024

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Program: BEN - MANDATORY COURSE FOR BIOMEDICAL ENGINEERING AND NEUROSCIENCE 

Literature: Relevant journal articles and book chapters related to the specific talks will be announced shortly before the course.

Prerequisites: The course targets PhD students of the Program in Biomedical Engineering and Neuroscience and other PhD students working within these areas. The course is repeated every year with a different focus, thus participation to the previous edition does not preclude participation in this edition.

Evaluation: A poster session will be organized during the symposium. PhD students will bring and present a poster on their own work (it is allowed to bring a poster presented at another conference or meeting).

Welcome to Matlab for non-engineers: basic data processing and optimization/motion analysis – data acquisition and basic processing (2024)

Programme: BEN
***Online course***            





Description: Research on biomedical engineering topics usually require the acquisition of biological signals or additional instrumentation that provides continuous time series. For non-engineers, processing those types of data can be time consuming and inaccurate if proper processing methods are not used. Therefore, the goal of this course is to present basic processing tools to analyse biological and non-biological signals.

The course is based on MATLAB, one of the most powerful software packages for data recording and analysis in Engineering. The course presents a dynamic format, in which students will have practical experiences regarding the use of MATLAB during the lectures. Students will be able to learn MATLAB programming by accessing basic instructions through video contents recorded by the lecturer. Moreover, specific tasks and exercises will be performed in the presence of the lecturer.

This format will offer to students the unique possibility to learn how to perform basic and complex operations with the assistant of the lecturer while generating the data analyses scripts. The course has been designed for PhD students without previous experience on programming on MATLAB, such as physiotherapists, medical doctors, pharmacists, psychologists, sports science professionals. The ultimate goal of this PhD course is to provide students with basic yet reliable tools to process data for their own PhD projects.

The course will be divided in four modules:


1.      Introduction: basic operations and file management (importing, loading, saving files)

2.      Data visualization, matrix manipulation

3.      Code optimization: reducing processing time and minimizing changes of errors

4.      Multi-subject dataset management and basic statistics

 Literature: To be announced. Readings will be provided via the course webpage.

Prerequisites: This course is ideal at students early or midway in their PhD. You should be at least 3 months into your project development. Ideally, students should use their own target data to develop scripts for analysis.

Evaluation: Assignment: Students must present a data analysis pipeline generated using MATLAB on the last lecture day. The data should be preferably related to the topic of the PhD project, therefore benefiting the student in the standardization of data processing methods. Detailed explanations of the processing steps and the choices for data analysis, based on appropriate references, should be addressed in the presentation.

Organizer: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk

Lecturers: Associate Professor Anderson Oliveira, e-mail: oliveira@mp.aau.dk

ECTS: 3

Time: 11, 18 & 25 March, 15 & 22 April, 13 May 2024 (12:30-16:15)

Place: Online, Aalborg University

Number of seats: 25

Deadline: 19 February 2024

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registration.

Welcome to Assessment and Modulation of Pain Mechanisms - a theoretical and hands-on course 

Organiser: Associate Professor Kristian Kjær Petersen, email: kkp@hst.aau.dk

Lecturers: Associate Professor Kristian Kjær Petersen, Associate Professor Daniel Ciampi de Andrade, Associate Professor Laura Petrini

ECTS: 1.5

Dates: 13,14 and 15 March 2024 (08:15-16:15)

Place: Aalborg University, Selma Lagerløfs Vej 249, 9260 Gistrup, room 11.00.032

Deadline: 21 February 2024

Number of seats: 25

Program: BEN (This course is relevant for all PhD students working with pain in humans)

Description

“Personalized Mechanistic Pain Medicine” aims to assess the underlying mechanisms of pain and target these mechanisms using tailored treatment. Assessment of pain is complex and range from assessments of nerve activity using advanced neurophysiological tests to patient reported outcomes. Emerging evidence supports that multiple pain mechanisms interact on each other and that many of these are modulated by comorbidities and/or demographic features (such as age, gender, BMI).

This course will provide the students with an in-depth understanding of a range of pain mechanisms in relation to (1) central pain mechanisms using quantitative sensory testing; (2) assessments of cognitive factors (such as pain catastrophizing, anxiety and depression); and (3) neurophysiological assessments and modulation of the motor system and how this is related to changes in pain.

Students will be introduced to how these can be assessed and be provided with examples on and how these can be modulated. Additionally, this course includes an introduction to the pain laboratories and hands-on experience with assessments of pain mechanisms.

Literature

Selected papers and book chapters will be announced to the participants shortly before the course.

Prerequisites

None

Evaluation

A multiple-choice test will evaluate the student’s outcome of the course and evaluated as pass/not pass.