Assessment
Reading Like a Computer
This course uses a diverse set of assessment methods to evaluate your learning and growth. Assessment is ongoing and formative, with opportunities for feedback and revision throughout the semester.
Grading Components
Class Participation (10%)
Active participation is essential for success in this course. This includes:
- Attending synchronous class sessions (TuTh 11:20-12:45 AM)
- Engaging thoughtfully in discussions and activities
- Completing in-class exercises and workshops
- Contributing to peer learning and collaborative work
Note: Attendance is mandatory. If you do not attend class sessions, it will not be possible to complete coursework and receive higher than a C. Typically, 2-3 absences are tolerated.
Written Responses (20%)
You will complete 2 written responses throughout the semester, each worth up to 10 points. Spring 2026 EDIT: You will be required to complete 1 response. You will receive an automatic 10 points for the second.
Purpose: These responses allow you to reflect on conceptual issues raised in class, practice web-based academic writing, and develop a public scholarly voice. In particular this will fall just before the assignment for each section of the course.
Format and Length:
- Typically 1,000-1,500 words, plus any needed visuals
- Published on your individual course website
Types of Responses:
- Reflective pieces on conceptual issues or course themes
- Critical analyses of tools, methods, or course readings
Three Assignments (50% total — 10% first assignment, 20% for following)
These two open-ended assignments apply course methods to new contexts and texts. Spring 2026 EDIT: You will be required to complete 2 assignments. You will receive an automatic 20 points for the third. You can complete the third assignment for up to five (5) extra points on top of your course work.
Purpose: To develop practical skills in computational text analysis and to practice critical thinking and evaluation about technology and humanities data.
Format and Length:
- Approximately 1,500-2,000 words each (plus visualizations)
- Combines written analysis with digital outputs or demonstrations
- Published on your course website
- Media-rich format combining text, images, and/or interactive elements
Detailed instructions and rubrics will be provided in the Assignments section.
Midterm and Final Oral Exam (20% total — 10% each)
The oral exams will cover readings, material covered in your assignments and any material more generally in the class. They will last 15 minutes each and will be in person. Spring 2026 EDIT: You will be required to complete 1 midterm exam. You will receive an automatic 10 points for the second.
Purpose: To demonstrate mastery of course concepts and methods through independent research and creative data storytelling.
Grading Scale
| Grade | Percentage |
|---|---|
| A | 94-100% |
| A- | 90-93% |
| B+ | 85-89% |
| B | 80-84% |
| B- | 75-79% |
| C+ | 70-74% |
| C | 66-69% |
| C- | 62-65% |
| D | 55-62% |
| F | Below 55% |
Course Policies
Attendance
Regular attendance is expected. Attendance records are kept and contribute to your participation grade. If you have circumstances affecting attendance, please contact the instructor as soon as possible.
Late Work
- Please communicate with the instructor in advance if you anticipate being unable to meet a deadline
Academic Integrity
All work submitted must be your own. Plagiarism and academic dishonesty will be handled according to NYUAD’s Academic Integrity Policy. Proper citation of sources is required.
Accommodations
If you require accommodations for a disability, please contact Student Services.