Instructors: Spyridon Rapsomanikis, Glykeria Loupa
Course Code: 15ΖΥ3Ν – Κ1
Semester: 7th
Weekly teaching hours: 6
Weekly teaching hours: 5
Prerequisites: Mathematics, Statistics I, Atmospheric Chemistry, Atmospheric Physics
Course offered to Erasmus students: No
Course URL: TMC343/

Learning Outcomes: 

1.Knowledge based
Experimental design and optimization

  • Randomization and blocking
  •  Two-way ANOVA
  •  Latin squares and other designs
  •  Interactions
  •  Factorial versus one-at-a-time design
  •  Factorial design and optimization
  •  Optimization: basic principles and univariate methods
  •  Optimization using the alternating variable search method
  •  The method of steepest ascent
  •  Simplex optimization
  •  Simulated annealing
  •  Time series analysis

2. Skills / Competences acquired

  • Students will be able to design an experiment and analyze the data.

General Skills: 

Search, analysis and synthesis of data and information,
Working in an international environment
Working in an interdisciplinary environment
Project design and management
Critical thinking

Course Content:

  •  Methods for constructing and analyzing designed experiments are considered.
  •  Concepts of experimental unit, randomization, blocking, replication, and orthogonal contrasts are introduced.
  •  Designs include completely randomized design, randomized complete block design, Latin squares design, split-plot design, repeated measures design, and factorial and fractional factorial designs.
  •  Methods for analysis of environmental data are considered focusing in time series analysis.

Suggested Bibliography:

1. E-book « Statistics ΙΙ» Spyridon Rapsomanikis, available in the e-class.
2. J. N. Miller, J. C. Miller “Statistics and Chemometrics for Analytical Chemistry” Pearson Education, 2005
3. “Laboratory exercises”, G. Loupa, available in the e-class.

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