Programme: „ESG consultant
Subject Role: Compulsory elective
Recommended semester: 2
Objectives
The aim of the course is to introduce various aspects of energy management (green energy, renewable energy, building energy, building management systems, AI-based data analysis and predictive methods) through a thematic workshop.
Academic results
Knowledge
- The student knows the basic concepts of energy management in an ESG context.
- Knows the green building rating systems.
- Knows the role of building management systems in ESG.
- Knows the role of artificial intelligence and data analytics in ESG.
Skills
- The student is sble to collect and interpret energy consumption data from an ESG perspective.
- Able to identify and prioritise energy efficiency projects.
- Able to identify AI-based data analysis options.
- Able to calculate and benchmark energy intensity indicators.
Attitude
- Open to innovation: actively seeking and applying new technologies (e.g. AI, IoT) to achieve sustainability goals.
- Applies data-driven thinking to decision making.
- Recognises the importance of life-cycle energy optimisation.
Independence and responsibility
- Able to independently plan and implement energy efficiency project steps.
- Takes responsibility for the implementation of all related management tasks.
Teaching methodology
Practice – full-day workshop
Materials supporting learning
- Elméleti bevezető diasorok / Ppt slideshow about principles
General Rules
The learning objectives detailed in 2.2 will be assessed by means of active participation in the workshop.
Performance assessment methods
Checking active participation in the workshop by means of an attendance sheet.
Percentage of performance assessments, conducted during the study period, within the rating
Percentage of exam elements within the rating
Conditions for obtaining a signature, validity of the signature
Active participation in the workshop. Signing the attendance sheet.
Issuing grades
| % | |
|---|---|
| Excellent | 100-100 |
| Very good | 100 |
| Good | 100 |
| Satisfactory | 100 |
| Pass | 100 |
| Fail | 0 |
Retake and late completion
As the condition for obtaining a signature is active participation in the workshop, repeat, retake, and late completion are not possible.
Coursework required for the completion of the subject
| Nature of work | Number of sessions per term |
|---|---|
| Attendance | 9 |
| Processing background materials | 20 |
| Learning individually | 20 |
| Preparing | 41 |
| Total | 90 |
Approval and validity of subject requirements
Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 05.05.2024.
Topics covered during the term
Subject includes the topics detailed in the course syllabus to ensure learning outcomes listed under 2.2. can be achieved.
| Lecture topics | |
|---|---|
| 1. | Energy management – practical workshop |
Additional lecturers
| Name | Position | Contact details |
|---|---|---|
| Dr. Szalay Zsuzsa | egyetemi docens/associate professor | szalay.zsuzsa@emk.bme.hu |