05.04 Assignment Instructions

About the course

The course aims to offer astronomical perspectives to civil engineering, architecture and art, and to explore the influence of astronomy and space sciences on these fields, and to science and culture in general.

The course is open for all students in the Aalto University. The foci of the course are chosen so as to offer topics relevant for all fields of research in Aalto, in addition to providing the students an opportunity to update their worldview in the large scale.

The teaching language is English.

TentativeUpdated timeline is shown below. The course consists of 12 lectures, two evaluation sessions during the exam weeks, and three learning diary submissions (LD). There is also an excursion outside the lecture time; the exact date and time are announced later.

General learning outcomes

After the course the student should be able to:

  1. Characterise the major mileposts in the development of the modern astronomical world-view, both from the modern and the contemporary perspectives.
  2. Relate celestial events (including the everyday phenomena) to their astronomical and physical origin, and have the basic vocabulary for seeking more information for further studies and applications.
  3. Recognise the astronomical background of various constructions (ranging from the Stonehenge to sundials and modern observatories), including non-physical constructs like the calendar.
  4. Illustrate the influence and interplay of astronomy and the society (culture, religion, arts, etc.) in the past as well as today.
  5. Put into cosmological perspective (a) our place in the universe, (b) the scientific and technological development and future challenges in the fields related to astronomy and space research, (c) and the development and limits of the modern worldview.

MyCourses page structure

The material and assignments are structured for each week separately. In particular, all assignments related to a specific week can be found under that week's page. Weekly pages are made available one at a time, with preliminary work (to be done before the lecture of that week) coming available a week before the lecture, and after-the-lecture work coming available after each lecture. Detailed information about the course, different types of work, etc., can be found under the section Course instructions.


Anne Lähteenmäki, prof., D.Sc. (Tech.)
Aalto University Metsähovi Radio Observatory & Department of Radio Science and Engineering; anne.lahteenmaki@aalto.fi

Joni Tammi, Ph.D.,
Aalto University Metsähovi Radio Observatory; joni.tammi@aalto.fi

This course is an introduction to multivariate statistical analysis. The goal is to learn basics of common multivariate data analysis techniques and to use the methods in practice. Software R is used in the exercises of this course. The topics of the course are multivariate location and scatter, principal component analysis, bivariate correspondence analysis, multiple correspondence analysis, canonical correlation analysis, discriminant analysis, classification, and clustering. 

Lecture 1: Introduction, practical things, Multivariate location and scatter

Lecture 2: Principal component analysis

Lecture 3: Principal component analysis continues

Lecture 4: Measures of robustness, Robust principal component analysis

Lecture 5: Correspondence analysis

Lecture 6: Bivariate correspondence analysis continues

Lecture 7: Multiple correspondence analysis

Lecture 8: Canonical correlation analysis

Lecture 9: Discriminant analysis and classification

Lecture 10: Clustering

Lecture 11: New winds

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