Course Description:
Do you know what related work is relevant to your current research interests? What baselines should you study for your work? What quality measures should you consider for your selected literature? How to write your research proposal, reports and thesis? If not, this course is the best for you. During this course, we focus mainly on the research methodology aspects in the computer science. After participating in this course, you will learn how can you lead a high quality research works and how can you publish your results. The course is designed for second year postgraduate students and those who have not yet defended their thesis proposals.
Learning Outcomes:
At the end of the course you will:
- know the fundamentals of research methods in computer science
- be able to find themes relevant and qualitative resources to your research goals
- have a good knowledge of scientific writing
- have a good knowledge of scientific problem definition
- have a good knowledge of scientific presentation
Course Outline:
| Week # | When | What | Who | Topic | Slides | Recordings |
| Week 01 | 23.09.20 | Lecture | Bohlouli | Introduction to the research methods and Course logistics | intro.pdf | rec_week01 |
| Week 02 | 30.09.20 | Lecture | Bohlouli | Scholarly Qualitative Papers and Bibliographic definitions | scholars.pdf | rec_week02 |
| Week 03 | 07.10.20 | Lecture | Bohlouli | All about Bibliography and Referencing in Scientific Publications | biblio.pdf | rec_week03 |
| Week 04 | 14.10.20 | Lecture | Bohlouli | How to write a research Proposal? (Part 1) | proposal.pdf | rec_week04 |
| Week 05 | 28.10.20 | Lecture | Bohlouli | How to write research Proposal? (Part 2) | proposal.pdf | rec_week05 |
| Week 06 | 05.11.20 | Lecture | Bohlouli | How to write research Proposal? (Part 3) | proposal.pdf | rec_week06 |
| Week 07 | 05.11.20 | Lecture | Bohlouli | Lessons learned from Assignments | assign.pdf | rec_week07 |
| Week 08 | 12.11.20 | Lecture | Bohlouli | How to write research Proposal? (Part 4) | Blackboard | rec_week08 |
| Week 09 | 26.11.20 | Lecture | Bohlouli | How to write research Proposal? (Part 5) | Blackboard | rec_week09 |
| Week 10 | 26.11.20 | Lecture | Bohlouli | How to write research Proposal? (Part 6) | Blackboard | rec_week10 |
| Semester Break | ||||||
| Week 11 | 27.12.20 | Lecture | Bohlouli | Introduction to the second part of the course, project definitions | intro2.pdf | rec_week11 |
| Week 12 | 07.01.21 | Lecture | Nazeri | Introduction to Bibliography Softwares, deeper dive to JabRef | jabref.pdf | rec_week12 |
| Week 13 | 14.01.21 | Lecture | Bohlouli | Systematic Literature Review Papers | system.pdf | rec_week13 |
| Week 14 | 21.01.21 | Lecture | Bohlouli | A Research Survey Papers | survey.pdf | rec_week14 |
| Week 15 | 28.01.21 | Lecture | Bohlouli | Publishing Research results in the Conference Papers | conf.pdf | rec_week15 |
| Week 16 | 04.02.21 | Lecture | Bohlouli | Publishing Research results in the Journal Papers | journal.pdf | rec_week16 |
| Week 17 | 11.02.21 | Lecture | Bohlouli | rec_week17 | ||
| Week 18 | 18.02.21 | Lecture | Bohlouli | rec_week18 | ||
| Week 19 | 25.02.21 | Lecture | Bohlouli | rec_week19 | ||
| Week 20 | 04.02.21 | Lecture | Bohlouli | rec_week20 | ||
Assignments:
| # | Release Date | Description | Submission Deadline | Source Files |
| 1 | 01.11.20 | The summary of suggested Research Topics | 10th November 20 | Course slides |
| 2 | 01.11.20 | The list of 10 most relevant Literature | 19th November 20 | Course slides |
| 3 | 01.11.20 | The summary of 5 Selected Literature | 24th December 20 | Course slides |
| 4 | 01.11.20 | The Final Version of Research Proposal | 31st December 20 | Course slides |
Course Project Groups:
| # | Release date | Topic | Project Description | Submission Due |
| 1 | 05.01.2021 | A Systematic Literature Review of COVID-19 and Artificial Intelligence | Proj01_COVID19.pdf | 15.03.2021 |
| 2 | 05.01.2021 | A Survey on the Artificial Intelligence Support in handling the COVID-19 | Proj02_COVID19.pdf | 15.03.2021 |
| 3 | 05.01.2021 | A Deep Learning supported COVID-19 diagnosis | Proj03_COVID19.pdf | 15.03.2021 |
| 4 | 05.01.2021 | An analysis of Existing Datasets for COVID-19 research | Proj04_COVID19.pdf | 15.03.2021 |
Prerequisites:
Before commencing this course, you should:
- have experiences and good knowledge of English language
- have been well involved in the research activities
References:
-
Oates, B.J., (2005), Researching Information Systems and Computing, Sage Publications, UK.
-
Justin Zobel (2015), Writing for Computer Science – The art of effective communication, 3rd edition, Springer, UK
Class Time and Location:
- Thursdays, 11:00 – 12:30 CET.
- Given the current COVID-19 Situation, this semester, the class will be completely online.
- You should first apply for approval through the following link. This link will be also the online course sessions every week.
- Course Videos Link: [The link]
Course Links:
Course Signup and Management Link: [piazza.com/iasbs.ac.ir/fall2020/cs202]
Course Videos Link: [https://elearn.iasbs.ac.ir/b/dr–4ql-wev-uvy]
Instructors:
