Course Outline — Professional Learning Programme

Ecometric Studio · Modules 01–05 · E-Learning — Online Course (self-paced)

Atmos Tectonics Pro Logo

CPD Assessment Submission — E-Learning Programme

Professional Learning Programme · Modules 01–05

Course Outline

Paid professional learning programme — Modules 01–05

Ecometric Studio

CPD Member No. 22937

Eng. Rasha Adel — Founder & Program Director

E-Learning — Online Course (self-paced)

Status: Prepared for CPD Assessment — not yet CPD Certified

Atmos Tectonics Pro — Professional Programme (Modules 01–05)

Programme Overview

Programme Details

Programme TitleAtmos Tectonics Pro — Professional Learning Programme
ProviderEcometric Studio — CPD Member No. 22937
Delivery FormatE-Learning — Online Course (self-paced)
Programme StructureOne paid programme of five sequential modules (01–05). Modules are delivered as a single programme and are not sold individually.
Module Learning Time275 minutes (4 hours 35 minutes) — verified calculation: 60 + 50 + 55 + 50 + 60 minutes across Modules 01–05.
Final Assessment TimeUp to 60 minutes — a separate timed final exam. Reported separately and not included in the module learning time.
Maximum Total Learner Engagement335 minutes (5 hours 35 minutes) — module learning time plus the final assessment.
LanguageArabic instruction with English technical terminology
PrerequisiteModule 00 (free introductory module, independently CPD Certified) — excluded from this submission
Certification StatusPrepared for CPD Assessment — the paid programme is not yet CPD Certified

Programme Purpose

تحويل المهندس من مُنفّذ إلى مستشار استراتيجي — من خلال البيانات، الـ ROI، والسيادة الرقمية على أنظمة الـ HVAC.

The programme transforms the practicing engineer from an executor into a strategic consultant through data, return on investment, and digital sovereignty over HVAC systems, aligned with the Saudi Building Code for energy efficiency (SBC 601).

Target Professional Audience

Practicing HVAC and mechanical engineers, energy managers, and facility / sustainability professionals responsible for energy performance and SBC 601 compliance.

[Derived from verified existing programme materials on the platform.]

Ecometric Studio · CPD 229372

Atmos Tectonics Pro — Professional Programme (Modules 01–05)

Programme Structure

Module Sequence (Paid Programme)

Module learning time: 275 minutes (4 hours 35 minutes). The final assessment adds a separate timed exam of up to 60 minutes (maximum total learner engagement: 335 minutes). Each module builds on the previous one.

ModuleTitle (as delivered)DurationVideoExam Qs
M01السيادة الرقمية والربط (Digital Backbone)60 min5 min3
M02عقلنة البيانات وتصفية الضوضاء (Data Rationalization)50 min4 min3
M03التوائم الرقمية والتدقيق الافتراضي (PdM)55 min5 min3
M04التميز في الطاقة وأنظمة التحكم الدقيق PID50 min4 min3
M05الحصاد المالي وقيادة العائد (Harvest)60 min5 min3
TOTAL — PAID PROGRAMME275 min23 min15

Exam Qs = final challenge exam questions mapped to this module. All 15 final-exam questions map to the paid Modules 01–05 (3 questions per module). Durations are taken from the published programme curriculum.

Learning Components per Module

  • Recorded video walkthrough
  • Technical Reference (PDF)
  • Applied Case Study (PDF)
  • Built-in Module Knowledge Check

Every module follows the identical learning pattern: a recorded video walkthrough, a downloadable Technical Reference (PDF), an applied real-world Case Study (PDF), and a Built-in formative Module Knowledge Check delivered within the learning platform. Learning concludes with the final summative challenge exam ("The Challenge") and certificate issuance — certificate eligibility is determined by The Challenge alone.

Ecometric Studio · CPD 229373

Atmos Tectonics Pro — Professional Programme (Modules 01–05)

Module Introductions & Practical Activity

Module Introductions (Modules 02–05)

Each module opens with a short professional introduction stating what it covers, why it matters, and what the learner works with — written using only concepts taught in that module.

Module 02 — Data Rationalization

  • What it covers: Filtering operational data noise: ISA-18.2 alarm rationalization, hierarchical (root-cause) alarm suppression, and Management of Change (MOC) governance for setpoint and limit modifications.
  • Why it matters: Alarm floods (e.g., 1,200+ random daily alarms) bury the true root cause, waste maintenance effort, and undermine SBC 601 compliance; rationalizing them converts wasted hours into measurable operational (OpEx) savings.
  • What the learner works with: BMS alarm logs and setpoint/limit records, processed using the ISA-18.2 methodology taught in the module.

Module 03 — Digital Twins & Predictive Maintenance

  • What it covers: Digital-twin condition auditing and predictive maintenance: the P-F interval ("golden window"), cross-analysis of electrical (starting current) and vibration (RMS / frequency) indicators, and unsupervised anomaly-detection baselines (Isolation Forest / Autoencoders).
  • Why it matters: Waiting for mechanical failure forces emergency repairs and downtime; intervening inside the first half of the P-F window protects critical assets and substantially reduces emergency maintenance cost.
  • What the learner works with: Live equipment telemetry — current, vibration RMS and dominant frequency — used to build a normal-behavior baseline and detect early deviations.

Module 04 — Precision PID & Energy Excellence

  • What it covers: Precision control and energy excellence: PID loop tuning (using the derivative term to stop valve hunting), VFD skip-frequency programming around resonance bands, and PCM thermal-storage peak-shaving.
  • Why it matters: Unstable control loops (hunting) cause thermal discomfort, mechanical wear, and wasted energy; precision tuning protects assets and reduces energy consumption, while peak-shaving can shrink required chiller capacity and CapEx.
  • What the learner works with: BMS control-loop parameters (P/I/D terms, setpoints), VFD frequency settings, and thermal load profiles.

Module 05 — Financial Harvest & ROI Leadership

  • What it covers: The financial harvest: calculating payback from total investment and verified annual savings, linking verified kWh savings to documented carbon reductions for ESG reporting, and building a defensible executive business case.
  • Why it matters: Engineering results only become funded projects when translated into financial language: a payback period computed from verified (M&V) data is what convinces senior management.
  • What the learner works with: Verified project data — investment, M&V-documented energy and maintenance savings, kWh savings, and the project-provided emission factor.

Module 05 Practical Activity — From Verified Savings to an Executive Business Case (Guided Analysis)

A guided data-analysis exercise performed on the existing Module 05 case-study dataset. It converts verified building-performance data into lifecycle financial and carbon outcomes at the level of analysis supported by the module materials. No parametric LCA or BIM modelling software is used, required, or claimed.

Learner taskUsing the verified post-completion data of a delivered efficiency project, calculate the payback period and the documented carbon impact, then assemble them into a defensible executive business case.
Input / data used
  • • Total project investment: 2,325,000 SAR (case-study dataset)
  • • Verified annual energy savings: 1,200,000 SAR (M&V-documented)
  • • Verified annual maintenance savings: 350,000 SAR
  • • Verified annual electricity savings: 250,000 kWh
  • • Project-provided emission factor: 0.8 tCO₂e per 1,000 kWh (supplied as project data — not presented as a universal factor)
Steps performed
  1. 1. Sum the verified annual savings: energy + maintenance (1,200,000 + 350,000 = 1,550,000 SAR per year).
  2. 2. Calculate the payback period: total investment ÷ total annual savings (2,325,000 ÷ 1,550,000 = 1.5 years — 18 months).
  3. 3. Evaluate the result against the programme target threshold (payback under 30 months) and state the conclusion.
  4. 4. Convert the verified kWh savings into documented carbon impact: (250,000 ÷ 1,000) × 0.8 = 200 tCO₂e per year.
  5. 5. Assemble the savings, payback, and carbon results into a short executive recommendation that references the M&V-documented baseline.
Expected outputA one-page executive business case: total verified annual savings, payback period in months, documented annual CO₂e reduction, and an investment recommendation grounded in verified (M&V) data.
Learning-outcome supportDirectly applies all three Module 05 learning objectives: calculating the payback period from total investment and verified annual savings; linking verified kWh savings to carbon reductions for ESG documentation; and developing a financial business case targeting the programme payback threshold (under 30 months).
Ecometric Studio · CPD 229374

Atmos Tectonics Pro — Professional Programme (Modules 01–05)

Learning Outcomes & Ownership

Programme-Level Learning Outcome

Upon completion, the delegate can establish a digital baseline for HVAC systems, build a sovereign data backbone, rationalize alarms and operational data, apply predictive maintenance and digital-twin auditing, tune control systems precisely (PID), and translate savings into verified financial (ROI) and ESG outcomes.

Per-Module Learning Objectives

Module 01 — Digital Backbone & Digital Sovereignty

  • Establish independent data access from vendor-locked equipment using protocol discovery (e.g., Modbus packet sniffing).
  • Design an edge-computing telemetry architecture (MQTT, change-of-value mode) for sites with unreliable networks.
  • Implement OT network segmentation and encrypted protocols (VLAN isolation, BACnet/SC, TLS 1.3).

Module 02 — Data Rationalization

  • Apply ISA-18.2 alarm rationalization and quantify the resulting operational (OpEx) savings.
  • Configure hierarchical alarm suppression so the root-cause alarm surfaces instead of consequential alarms.
  • Enforce Management of Change (MOC) governance for any setpoint or limit modification.

Module 03 — Digital Twins & Predictive Maintenance

  • Interpret the P-F interval and schedule proactive maintenance within the first half of the golden window.
  • Diagnose bearing wear by cross-analyzing electrical (starting current) and vibration (RMS / frequency) indicators.
  • Select unsupervised anomaly-detection models (Isolation Forest / Autoencoders) when no failure history exists.

Module 04 — Precision PID & Energy Excellence

  • Tune PID control loops (especially the derivative term) to eliminate valve hunting around the setpoint.
  • Program VFD skip frequencies to bypass mechanical resonance bands and protect assets.
  • Evaluate PCM thermal-storage peak-shaving and its effect on required chiller capacity and CapEx.

Module 05 — Financial Harvest & ROI Leadership

  • Calculate the payback period from total investment and verified annual savings.
  • Link verified kWh savings to carbon reductions for ESG documentation.
  • Develop a financial business case targeting the platform payback threshold (under 30 months).

Content Ownership

All images, illustrations, diagrams, videos, animations, and original visual content used in this programme are created and produced by Ecometric Studio. © 2026 Ecometric Studio. All rights reserved.

External technical and scientific references (e.g., SBC 601, ASHRAE 90.1, ISA-18.2, IPMVP, KAPSARC) remain separately cited and are not claimed as Ecometric Studio property.

Ecometric Studio · CPD 229375