Research Methods

This goal of this course is to introduce and discuss concepts in research methodology, empirical analysis, and the scientific enterprise in computing. This course will prepare students for conducting research by examining how to plan, conduct, and report on empirical investigations. The course will cover techniques applicable to each of the steps of a research project, including formulating research questions, theory building, data analysis (using both qualitative and quantitative methods), building evidence, assessing validity, and publishing. The course will cover the principal research methods used to study human interaction with computer technology: controlled experiment, case studies, surveys, archival analysis, action research and ethnographies. We will also cover topics in peer review, ethical obligations involving human subjects research, how to give a scientific presentation, and how to write research papers, survey papers, and funding proposals.


Enrolled as a Graduate Student in CSE or by instructor permission.


Class Information

T/R 9:30am – 10:45am

356A Fitzpatrick Hall


Dr. Tim Weninger (

Office Hours:
Tue 11:00am-12:00pm in 380 Fitzpatrick Hall
or by appointment

Teaching Assistants


Course Format and Activities

WeekDateTopicDiscussion LeadersPre-ReadingAssignments
101/19History and Philosophy of ScienceOkasha, Ch 1-3
201/24Critical Reading of ResearchChandrasekharan, Eshwar, et al. “You can’t stay here: The efficacy of reddit’s 2015 ban examined through hate speech.CSCW (2017): 1-22.
201/26Critical Reading of ResearchMuchnik, L., Aral, S., & Taylor, S. J. (2013). Social influence bias: A randomized experimentScience341(6146), 647-651.
301/31Peer ReviewBohannon, John. “Who’s afraid of peer review?.” Science. (2013): 60-65.

Tomkins, A., Zhang, M. and Heavlin, W.D., 2017. Reviewer bias in single-versus double-blind peer review. Proceedings of the National Academy of Sciences, 114(48), pp.12708-12713.
302/02How to Write a Peer Review Donahue, C., McAuley, J. and Puckette, M., 2018. Adversarial audio synthesis. ICLR. arXiv preprint arXiv:1802.04208.
402/07Morphology of a Paper and Technical WritingTim WeningerWeekly Review:
Li, M., Xu, R., Wang, S., Zhou, L., Lin, X., Zhu, C., … & Chang, S. F. (2022). Clip-event: Connecting text and images with event structures. CVPR (pp. 16420-16429).
Weekly Review Due
402/09LaTeX and BibTeX
502/14How to Write your ResearchWeekly Review:
Rotabi, R., Danescu-Niculescu-Mizil, C. and Kleinberg, J., 2017, April. Competition and selection among conventions. TheWebConf (pp. 1361-1370).
502/16How to Write a Survey
602/21How to Make a Research PresentationCharles Chiang
Meghan McClain
Weekly Review:
Zhang, C., Song, D., Huang, C., Swami, A. and Chawla, N.V., 2019, July. Heterogeneous graph neural network. KDD (pp. 793-803).
602/23 How to Make a Research PresentationAydin Wells
702/28 Revising and Publishing ResearchZephan EncisoWeekly Review:
Ando, K., Ueyoshi, K., Orimo, K., Yonekawa, H., Sato, S., Nakahara, H., … & Motomura, M. (2017). BRein Memory: A Single-Chip Binary/Ternary Reconfigurable in-Memory Deep
Neural Network Accelerator Achieving 1.4 TOPS at 0.6 W
IEEE Journal of Solid-State Circuits53(4), 983-994.
Literature Review Due
703/02Computing as a Discipline
Brianna Wimer
Ozioma Oguine
803/07Research Funding and Proposal Writing
Weekly Review:
House, B., Malkin, J., & Bilmes, J. (2009, April). The VoiceBot: a voice controlled robot arm. CHI (pp. 183-192).
803/09 IRB, Ethics, and Research Malpractice
903/14 Spring Break
903/16Spring Break
1003/21Basics of Research, Theory BuildingPrabina Sharma
Rasel Ahmed Bhuiyan
Weekly Review:
House, B., Malkin, J., & Bilmes, J. (2009, April). The VoiceBot: a voice controlled robot arm. CHI (pp. 183-192).
1003/23Study Design
Aarohi Srivastava
Introduction Due
1103/28Experiment Design, Controls, ConfoundersNoah Ziems
Annapurna Puttaswamy
Weekly Review: Tay, Y., Tran, V. Q., Dehghani, M., Ni, J., Bahri, D., Mehta, H., … & Metzler, D. (2022). Transformer memory as a differentiable search index. NeurIPS.
1103/30Laboratory, quasi and natural experiments
1204/04What do we mean when we we say that we know a thing?Adnan Hoq
Nandini Banerjee
Hy Dang
Weekly Review: Jeong, S., Baek, J., Park, C., & Park, J. C. (2021). Unsupervised Document Expansion for Information Retrieval with Stochastic Text GenerationNAACL, 7.
1204/06What do we mean when we we say that we know a thing? pt2 Mohammed Latif Siddiq Kehan Guo Siyu Yang 
Research Design Due
1304/11Distributions and when statistics lieAditya Joshi
Mohammed Almutairi
Weekly Review: Jiang, J., Hu, Y., Li, X., Ouyang, W., Wang, Z., Fu, F., & Cui, B. (2022, August). Analyzing Online Transaction Networks with Network Motifs. SIGKDD (pp. 3098-3106).
1304/13Distributions and when statistics lieYunhao Xing
Chaoran Chen
1404/18Class Cancelled
1404/20OLSRuiyang Qin
Shang Ma
Weekly Review: Davis, M. G., Smith, E., Tudor, A., Sen, K., Siddiqi, I., & Iancu, C. (2020, October). Towards optimal topology aware quantum circuit synthesis. QCE (pp. 223-234). IEEE.
1504/25My results are State of the Art, and other lies we tell ourselves.Tawfiq Chowdhury
Shivani Vyas
Final Paper Due
1504/27How to Evaluate AI Systems
1605/02How to Evaluate AI SystemsReviews Due
1605/04Reading Day
1705/10Final Exam10:30am-12:30pmFinal Exam

This course will draw materials from research literature as well as lessons accumulated over decades of experience in computing research. Students will attend weekly classes, complete frequent readings and reviews, and formulate a short research review article.

This term we will be using Canvas for class discussion. The system is highly catered to getting you help fast and efficiently from classmates and myself.

Lectures and Class Participation

Students should attend all classes. Effective lectures rely on students’ participation to raise questions and contribute in discussions. We will strive to maintain interactive class discussions if possible.

Questions, Discussions, and Help

If you have any questions or need clarification of class material, what should you do? First, try to post your question to the Canvas forum whenever possible, or otherwise email the instructor. The forum is for you and your peers to discuss class-related materials and to help one another. The forum will be monitored closely, but please be aware that we may not be able to answer all questions on the forum in a timely manner, due to the overwhelming number of questions that such a forum sometimes generates. Also, there are obviously things that are not appropriate for the forum, such as solutions for assignments as well as comments or requests to the staff.

In any case, for more thorough discussion, come to our office hours if you can!  Don’t be shy. Use our office hours to their fullest extent to help your study.



Most class meetings will require pre-reading selected by discussion leaders. Those readings will be discussed during class.

Each weekly reading will result in a short writeup.

Discussion leaders will give a talk at the beginning of each class. Discussion leaders for each week are exempt from the readings.

Signup here: first come first served.

Pre-Candidacy Proposal

A term paper is due at the end of the term with several milestones throughout the semester.

Final Exam

A final exam covering the topics in this course will be administered during finals week.

Grade Breakdown

Discussion Leaders10
Weekly Readings/Reviews15
Literature Review20
Research Design5
Final Paper10
Peer Review5
Final Exam25


This table indicates minimum guaranteed grades. Under certain limited circumstances (e.g., an unreasonably hard exam), we may select more generous ranges or scale the scores to adjust.

Total Grade
90-100 A-, A
80-89 B-, B, B+
70-79 C-, C, C+
60-69 D



Textbooks are required, but generally very cheap or free.

Salganik, Matthew J. Bit by bit: Social research in the digital age. Princeton University Press, 2019.

Okasha, Samir. Philosophy of Science: Very Short Introduction. Oxford University Press, 2016.


Students should attend all classes. Effective class meetings rely on students’ participation to raise questions and contribute in discussions. We will strive to maintain interactive class discussions if possible.

Lecture capture and Zoom will not be provided.


All requests to change grading of any course work must be submitted to the instructor in writing within one week of when the grades are made available. Requests must be specific and explain why you feel your work deserves additional credit. Do not ask for a regrade until you have studied and understood our sample solution.

Late Work

All scheduled due dates/times are US Eastern Time. Homework is typically due at the beginning of class on the due date, but check each the assignment for specifics.

Due date/time will be strictly enforced. Missing or late and/or unannotated work gets zero credit. If you are unable to complete an assignment due to illness or family emergency, we will understand but please see the instructor as soon as possible to make special arrangements. All such exceptional cases must be fully documented.

Academic Integrity

Notre Dame Students are expected to abide by Academic Code of Honor Pledge:

As a member of the Notre Dame community, I acknowledge that it is my responsibility to learn and abide by principles of intellectual honesty and academic integrity, and therefore I will not participate in or tolerate academic dishonesty.

Authorship effort on any submitted work must be accurately documented and properly cited. Artificial Intelligence tools like ChatGPT represents a new paradigm in academic and scholarly writing. Use of such tools on submitted work must be documented.