Syllabus
This course defines technology intelligence as a disciplined way to turn evidence into strategic judgment. It emphasizes defensible methods, transparent assumptions, and the ability to connect signals to decisions.
What you will be able to do
How this course runs
The course runs as a studio sequence that alternates preparation, lab work, submission, critique, and iteration. Each unit builds toward a final dossier and defense.
Data
SNA
NLP
Forecasting
Judgment
Signals
Capture publications, patents, and weak signals with traceable queries.
Representation
Translate text into topics, entities, and comparable features.
Structure
Map networks to reveal actors, clusters, and ecosystem roles.
Dynamics
Track growth, bursts, and trajectory shifts over time.
Judgment
Convert evidence into scenarios and portfolio decisions.
16 sessions / 8 TA labs / studio critiques
Prepare
Read + plan
Lab/Studio
Build + test
Submit
Deliver
Critique
Review + refine
Iterate
Update logic
Office hours are available by appointment; see the Staff page for contact details. Staff.
| Component | Weight | Due window | Output |
|---|---|---|---|
| Concept memo | 15% | Sessions 2-3 | 3-4 page memo (PDF), Initial dataset outline |
| Analytical exercise | 25% | Sessions 6-9 | Notebook or report, Charts with interpretation |
| Capstone dossier + defense | 50% | Sessions 12-16 | 10,000+ word dossier, 20-slide defense deck |
| Participation & critique | 10% | Sessions 1-16 | Critique notes, Peer feedback logs |
Establish scope, evidence boundaries, and initial assumptions for the domain.
What to submit
Criteria
Due window: Sessions 2-3
Demonstrate a reproducible method using network or NLP indicators.
What to submit
Criteria
Due window: Sessions 6-9
Integrate evidence, analysis, and judgment into a strategic dossier.
What to submit
Criteria
Due window: Sessions 12-16
Contribute consistently to studio feedback and peer review cycles.
What to submit
Criteria
Due window: Sessions 1-16
Milestones
Session 2
Data protocol and scope
Session 6
Ecosystem map draft
Session 9
Emergence scan
Session 12
Decision matrix
Session 16
Final defense
Reproducibility expectations