Programme: „ESG consultant
Subject Role: Compulsory
Recommended semester: 1
Objectives
The aim of the course is to introduce the basics of ESG data collection: data collecting methods, different types of indicators, and KPIs in ESG.
Academic results
Knowledge
- Knows the most important indicators of ESG;
- Knows the data collection methods in ESG reporting;
- Knows the most important KPIs in ESG reporting.
- Knows the types of numerical and descriptive indicators.
Skills
- Able to determine the data collection tasks regarding ESG reporting.
- Able to understand the requirements of data analysis in ESG reporting.
- Able to interpret indicators (dimensions, units of measurement, basis of projection).
- Knowledge of the concepts of target year and basis year.
Attitude
- Cooperates with the lecturer and other students.
- Strives to understand complex systems.
- use the opportunities offered by IT tools.
Independence and responsibility
- Independently selects and applies the relevant problem-solving and analytical methods in solving the analytical tasks belonging to his / her field.
- Feels responsible for all three pillars of ESG.
Teaching methodology
Online lecture
Materials supporting learning
- Előadásdiák/ Lecture slides
General Rules
The assessment of the learning outcomes stated in point 2.2. is based on an online Moodle test.
Performance assessment methods
Checking of learning the lecture slides.
Percentage of performance assessments, conducted during the study period, within the rating
- Moodle test: 100
Percentage of exam elements within the rating
Conditions for obtaining a signature, validity of the signature
Active participation in class and/or online consultation with the lecturer. Completing the test on the course’s Moodle page by the deadline.
Issuing grades
| % | |
|---|---|
| Excellent | 100-100 |
| Very good | 100 |
| Good | 100 |
| Satisfactory | 100 |
| Pass | 100 |
| Fail | 100 |
Retake and late completion
The active participation in the contact lectures can be compensated during the semester by watching the recorded lectures afterward.
Coursework required for the completion of the subject
| Nature of work | Number of sessions per term |
|---|---|
| Lecture | 8 |
| Processing background materials | 12 |
| Learning individually | 20 |
| Preparing for final exam | 20 |
| Total | 60 |
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. | Data collecting methods, different types of indicators, and KPIs in ESG. |
Additional lecturers
| Name | Position | Contact details |
|---|---|---|
| Nagy Gréta | ügyvezető/Managing Director | nagy.greta@dandeliongroup.hu |
| Gresa László | EHS és ESG igazgató/EHS and ESG Director | gresa.laszlo@dandeliongroup.hu |