Course Details:
Course Type:
University grade 3-credit distant learning course
Course Title:
Academic Literacy – Fundamentals of Scientific Research
Course Duration: 30 days
Credit hour: 3 credit (equivalent to university credits)
Total time: 40 hrs = 20 hrs lecture + 20 hrs supervision by mentors
Total classes: 12 theory classes + Hands on training
Quizzes: 02
Course Evaluation Assignment: 01
Mentors:
Dr. Mohammad Sorowar Hossain,
Dr. Enayetur Raheem,
Class Schedule: https://docs.google.com/spreadsheets/d/1b3PW6vlUH_xr2XFRdhlGNyzEJCBb0CD3BTViElaiSk4/edit?usp=sharing
Medium: Microsoft Teams meeting
Payment: 10,000 Taka
Payment options: bKash, Bank, Azimo
(Payment details given at the end)
Benefits:
1. Certificate of completion given that one successfully submits a research proposal based on the learning
2. Students will receive up to 20% of waiver for any future RW training or consultancy service
3. Reading materials
Reward: Based on the performance, two students will be given internship opportunities to conduct research with the BRF team
Supervisor Profile:
Dr. Mohammad Sorowar Hossain
Professional experiences: 22+ years (academia and industry combined)
Research experiences: Molecular biology (12 years) and Public Health (9 years)
Academia: Independent University, BRAC University, University of Health Sciences and University of Wollongong, Australia
Industry: Senior Manager (Head, R&D), Incepta Biotech
Post Doc: DUKE-NUS Graduate Medical School (Singapore), Singapore Cancer Centre
PhD: National University Singapore (QS world ranking #11)
Graduation (Hons/MS): Microbiology, University of Dhaka
BRF Research Profile: https://www.brfbd.org/research-team/mohammad-sorowar-hossain-phd/
LinkedIn Profile: https://www.linkedin.com/in/mohammad-sorowar-hossain-5a353664/
ResearchGate Profile: https://www.researchgate.net/profile/Mohammad-Hossain-97/research
Google Scholar Profile: https://scholar.google.com/citations?user=U6XGWcsAAAAJ&hl=en
Dr. Enayetur Raheem
Professional experiences: 22+ years (academia and industry combined)
Research experiences: Statistician and Data Scientist (health industries)
Academia: University of Wisconsin-Green Bay, University of Northern Colorado, University of North Carolina at Charlotte and University of Dhaka
Industry (health): Concet AI (current, Principal Data Scientist), Atrium Health and Cigna (senior data scientist), Phaster (Principal data scientist)
PhD: University of Windsor, Canada
Masters: McMaster University
Graduation (Hons/MS): Applied Statistics, University of Dhaka
BRF Research Profile: https://www.brfbd.org/research-team/enayetur-raheem/
LinkedIn Profile: https://www.linkedin.com/in/raheems/
Google Scholar Profile: https://scholar.google.com/citations?user=_7juYKUAAAAJ&hl=en
ResearchGate Profile https://www.researchgate.net/profile/Enayetur-Raheem
Youtube channel: https://www.youtube.com/c/EnayeturRaheem
Course Syllabus:
Module 1: Why research, 360-degree view of research landscape
Module 2: Ethics and Integrity in research
Module 3: Anatomy of Research
Module 4: Literature Review
Module 5: Researchers’ lifetime skills (tools and software)
Module 6: Statistical issues in research
Module 7: Scientific Journals: the good, and the fake
Module 8: Research proposal writing assignment and evaluation
What You’ll learn:
- Understanding of the research process
- How to develop a research idea into a research question
- How to formulate a research question
- How to do a literature survey
- Basics of research proposal writing
- Ethics of field and lab research
- Common statistical issues in research (study design, sampling and hypothesis testing)
- How research skills are useful for non-academic purposes
- Lifetime skills for research and non-research purposes (referencing, documentation, time management, collaborative writing and smart note taking)
Aim:
- Provides a 360 degree view of the research landscape. Our goal is to help develop your researcher-self and not merely provide training to analyze data.
- Our approach is drawn from decades of experience tackling untapped and neglected real-life problems. This training will help build your confidence to independently read and critique articles published in scientific journals.
- We aim to shape the thought process and guide the learners to develop their research-mindset, which is essential to becoming a successful researcher.
Who this course is for:
- If you have no research experience but want to learn the end-to-end research process– from idea generation to publication– then this course is a great one to start with
- If you have some experience but you are not confident enough to start your independent research journey, then this course will be the stepping stone for our supervised research internship (SRI)
- If you are an undergraduate student and planning to conduct your first research project, this course will adequately prepare you to step into your undergraduate thesis/project or major paper
What this course is not about:
- This foundation course will cover some basic statistical principles. But this course is not meant to learn advanced statistical techniques, data management or analysis
- The foundation course will introduce data collection strategies and demonstrate some open source and commercial software.
- This course is not designed for one-on-one mentorship. However, mentors will be available during office hours where you will have opportunity to discuss your problem.
Payment procedure:
- Amount: 10,000 Taka
Refund policy: Enrolled students can opt for a full refund (minus the processing fee) after attending the first class only.
To pay and register, follow this link for details:
https://forms.office.com/r/QnVb23pL38
For any query, reach out to us:
Email: sorowar.hossain@brfbd.org
Facebook: https://www.facebook.com/Researchway/
ResearchWay 