At a glance
Where USEK stands across 18 technology areas
Areas that leading universities now teach, and whether at least one USEK course description names each one. The count under each area is how many of 16 peer universities name it.
USEK names itNo USEK course names it
AI agents7 of 16 peers
Quantum computing13 of 16 peers
AI-assisted software work6 of 16 peers
Reasoning models3 of 16 peers
Green computing3 of 16 peers
Generative AI and LLMs
Machine and deep learning
Computer vision
Responsible AI and tech ethics
Cybersecurity
Cloud and DevOps
Data engineering
GPUs and high-performance computing
Human-computer interaction
Robotics
IoT and embedded systems
Blockchain
AR, VR and spatial computing
What you gain
Five things the Provost's office has, updated daily
One view of every program against its peers
The same comparison for every faculty, so curriculum decisions start from the same facts across the university.
From the first reading
13 of 18technology areas named at USEK
The five gaps are shown above. Quantum computing is the widest: 13 of 16 peers name it.
Early notice when competitors move
New courses at Lebanese and regional peers appear at the next reading.
Found this month
LAU's 2026-27 catalogue lists Agentic AI (CSC465, AAI627, DSC627) and Large Language Models (COE548, COE549). USJ's 2026-27 programs name agentic AI. No USEK course description names AI agents.
The direction of travel, not only a snapshot
The same catalogue pages are compared across years, so you can see what peers added and when.
Peers naming each area, 2021 and 2026 (9 universities)
Grey: 2021 archived catalogues. Blue: November 2026.
Evidence a dean can check
Each dean receives one sheet per course: USEK's catalogue wording beside what peer courses teach now, every topic linked to its source page.
Example sheet: CSC473 Natural Language Processing
USEK catalogue says
principles, techniques, and tools used for analyzing and processing natural language dataStanford CS224N teaches now
- Self-attention and Transformers
- Post-training (RLHF, SFT, DPO)
- Agents, Tool Use, and RAG
Curriculum tied to what employers ask for
A daily reading of job postings and skills reports shows which skills are rising, so program changes can answer it.
From the November reading
In the most AI-exposed US occupations, the entry-level share of job postings fell from 29% to 10% between 2021 and 2026, while advertised pay in AI-exposed jobs grew faster (Indeed Hiring Lab, 17 Sep 2026). 95% of employers surveyed by Coursera call micro-credentials a key way to tell candidates apart.
What it asks of you
Little time, and no compiling
The Provost
- Open one page; it updates daily and flags what changed.
- Make four decisions: send the sheets, set the deans' reply date, approve the refresh rhythm, choose the next faculty.
Each dean
- Receive one sheet per course.
- Confirm each listed gap against the current syllabus, or correct it.
The Provost's team
- Nothing to collect by hand. Scripts gather the catalogues and check every quote.
- A staff member opens the few catalogues that only load in a browser, at each refresh.
Under 5 min
for the daily check of 66 facts (funding deadlines, peer program pages, market items)
About 1 min
to read 21 peer course pages from universities, MOOCs and AI labs
About 2 min
to read 10 archived catalogues for the year-on-year view
Times measured on the 11 November 2026 runs.
How it runs
On USEK's own systems, under USEK's control
The watch runs on one USEK computer and publishes to a page on USEK's own web account, behind a login for the Provost and deans. Routine refreshes need no paid AI service.
- 1Install
Place the scripts on one USEK computer.
- 2Connect the page
Publish to USEK's web account with a login for the Provost and deans.
- 3First full refresh
Run it once together and check the output.
- 4Hand over
The checks then run every day on their own.
| What is read | Checked |
|---|---|
| Peer university catalogues (US, Gulf, Lebanon) | Daily, for new or changed courses |
| Course pages and syllabi at peers | Daily |
| MOOCs and AI lab academies | Daily, for new courses |
| Job postings and skills reports | Daily |
| Funding deadlines, program pages, news | Daily |
Scope
What is covered today, and what comes next
| Today | Next |
|---|---|
| AI and data courses, course by course: nine Computer Science courses and GEIT215, plus two Engineering electives sent for syllabi | Business, Engineering and Health Sciences, then the remaining faculties, one at a time |
| 18 technology areas across all USEK course descriptions | Areas for each faculty's own field |
| 12 leading US universities; 8 Lebanese universities, 4 with full course descriptions | AUB, the Lebanese University and Gulf peers |
A gap means a topic is missing from a catalogue description, which can be shorter than the syllabus. Each dean confirms against the current syllabus before any change. A filled area means a course names it; it does not measure how much is taught.