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					Module
Days in month
Module 1




 1.A Basics of climate change policy




 1.B Case Analysis
Module 2

 2A. Basic econometrics




 2B. Models for M/A policy
Module 3




Implementing LEAP model in M/A policy scenarios
Module 4



Climate change policy database
Module 5



Scenario selection and development
Module 6


 6A. Multi-criteria evaluation methods


 6B. Assessment of climate change policies
                                                                                                              P
                                                                 Month 1: March
Week 1                                   Week 2                             Week 3
5 to 11                                  12 to 18                           19 to 25


                                                                              Milestones (UNFCCC, Kyoto
                                         Climate change policies (Definitions Protocol, Bali Roadmap,
Introduction (definition of terms,       of Mitigation and Adaptation, basic Copenhagen Accords, Cancun
characteristics, observations)           concepts and terms)                  Agreements)




Introduction to Statistics and           Ordinary Least Squares method and
Econometrics                             Simple Linear Model               Multiple regression




    Elements of energy policy I          Elements of energy policy II (energy
 (Definitions, Units, data resources,    balance, production, transmission, Introduction to LEAP
   Energy resources, energy flux         consumption, energy stocks, forecast (interfaces, main activities,
              diagram)                   of energy demand)                    concept)



Introduction (definitions, units,        GHG emission inventories (sectors, Overview of procedures and
concepts)                                quality, examples of reporting)    standards in data collecting


                                           Basics II (steps, driving forces,
Basics I (definitions, concepts, types      particularities of M/A policy      Analysis (IPCC
            of scenarios)                             scenarios)               SRES/pathways; EU roadmap)

Introduction (definitions, terms,
advantages-disadvantages, areas of                                             Analytical Hierarchy Process
applications)                            Main categories of methods            (AHP)
                                   PROMITHEAS - 4: E-class Seminar Timetable/Modu
                                                                                            Month 2: April
Week 4                             Week 1                                Week 2
26 to 1                            2 to 8                                9 to 15

                                                                         Policy instruments III (Financial
Policy instruments I (Regulatory   Policy instruments II (Financial      instruments II (green tradable
instruments; Voluntary             instruments I (carbon tax, emission   certificates; white certificates; feed-in-
approaches (eco-labels;            trading schemes (JI, CDM, IET,        tariffs; quota); Dissemination
negotiated agreements))            GIS)))                                instruments;




                                   Regression Analysis with Time
Hypothesis testing                 Series data                           Intermediate exams




Basic elements and characteristics
(functions, LEAP tree, inputs,
outcomes)                          Intermediate exams                        Exercise 1 Introduction to LEAP


Methodological choice and
identification of key-emission     Data collection – Time series         Data uncertainties (Quality assurance,
categories                         consistency                           control, verification)


 Selection of scenarios for M/A
policy (aim, basic characteristics, Key Assumptions I (Demographics      Key Assumptions II (Economy and
              types)                and climate characteristics)         global trends)


Simple Multi-Attribute Ranking     Multi-Attribute Utility Theory        ELimination Et Choix Traduisant le
Technique (SMART)                  (MAUT)                                REalité (ELECTRE)
s Seminar Timetable/Modules
Month 2: April                                                                                           Month 3: May
                 Week 3                   Week 4                 Week 1                       Week 2
                 16 to 22                 23 to 29               30 to 6                      7 to 13




                 EU M/A policy
                 instruments              Intermediate exams
                                                                 Architectures of post              National
                                                                 Kyoto agreement                Communications
                                                                 (requirements,                  (EU and BSEC
                                                                 perspectives)                     countries)




                 Introduction to basic    Overview of models I                                Overview of models
                 concepts (definitions,   (LEAP and IMAGE 2.4      Overview of models II      III
                 types of models          Framework)               (ENPEP-BALANCE)            (MARKAL/TIMES)




                                          Exercise3                Exercise 4 Cost-benefit    Exercise 5
                   Exercise 2 Demand      Transformation                  analysis            Transportation study

                                                                 Data resources I (National   Data resources II
                                                                 Statistical Services,        (UNFCCC, UNEP-
                                                                 Meteorological Services,     RISO, Word Bank,
                  Intermediate exams      Data structures        Eurostat, EEA,)              FAO)


                 Key Assumptions III      Key Assumptions IV                                  Scenario – BAU
                 (Adaptation and          (Policies and measures                              (elements, trends,
                 general)                 and Transport)         Intermediate exams           outcomes)



                 Intermediate exams

                                                                 Presentation of the method Presentation of the
                                          Introduction                  AMS Part I          method AMS Part II
Month 3: May                                                                              Month 4: June
         Week 3                   Week 4             Week 1                          Week 2
         14 to 20                 21 to 27           28 to 3                         4 to 10




                                       National
              National             Communications
         Communications (EU         (EU and BSEC     Case Analysis of National
         and BSEC countries)          countries)     Communications (2 cases)        Course Work




                             Advantages and
          Overview of models disadvantages I     Advantages and disadvantages
           IV (MERCI and     (comparative        II (comparative analysis of
             MESSAGE)        analysis of models) models)                             Course Work



                                                                                     Exercise 9a Basic
          Exercise 6 Least-cost    Exercise 7 GHG                                      hypothetical
           electric generation       emisssions             Exercise 8 EU27            national case



         Research needs and      Database of
         gaps on data collection PROMITHEAS-4        Course work                     Course work

                                Scenario –                                               Analysis of
         Scenario – Pessimistic Optimistic                                              national M/A
         (elements, trends,     (elements, trends,      Analysis of national M/A     policy scenarios (2
         outcomes)              outcomes)               policy scenarios (2 cases)          cases)




                               Assessment of         Evaluation of policy instruments
         Climate change policy interactions with     and interactions with AMS;
         interactions          AMS                   AMS software                     Course Work
Month 4: June
            Week 3                   Week 4
            11 to 17                 18 to 24




            Course Work              Final exams




            Course Work              Final exams

               Exercise 9b Key
               assumptions for
                national case –
             insertion of data for
                 national case       Final exams




            Course work              Final exams


             Analysis of national
             M/A policy scenarios
                  (2 cases)       Final exams




            Course Work              Final exams
      PROMITHEAS - 4 E-class Instructors' Contact Details
Module                                            Instructor

Module 1
  1.A Basics of climate change policy             Prof. Dimitrios MAVRAKIS
  1.B Case Analysis                               Dr. Popi KONIDARI
Module 2
  2A. Basic econometrics                          Dr. Georgios AFENDRAS
  2B. Models for M/A policy                       Prof. Bernard FELDERER
Module 3
Implementing LEAP model in M/A policy scenarios   Dr. Athanasios DAGOUMAS
Module 4
Climate change policy database                    Dr. Harry KAMBEZIDIS
Module 5
Scenario selection and development                Dr. Popi KONIDARI
Module 6
  6A. Multi-criteria evaluation methods           Prof. Agis PAPADOPOULOS
  6B. Assessment of climate change policies       Dr. Popi KONIDARI
ontact Details
       e-mail


       epgsec@kepa.uoa.gr
       pkonidar@kepa.uoa.gr

       g_afendras@math.uoa.gr
       kalinka@ihs.ac.at

       dagoumas@gmail.com

       harry@meteo.noa.gr

       pkonidar@kepa.uoa.gr

       agis@eng.auth.gr
       pkonidar@kepa.uoa.gr

				
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posted:8/28/2012
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