Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

You are able to describe and explain basics of network theory, classify characteristics of network structure and recognise different network types. You are able to assess network type's impact on a system's bahaviour.

Credits: 5

Schedule: 16.09.2019 - 11.12.2019

Teacher in charge (valid 01.08.2020-31.07.2022): Stina Giesecke

Teacher in charge (applies in this implementation): Stina Giesecke

Contact information for the course (valid 07.08.2019-21.12.2112):

Responsible teacher Stina Giesecke

Course assistant NN

email firstname. lastname@aalto.fi


CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: Finnish

Languages of study attainment: Finnish, Swedish

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    The course deals with basic concepts of network theory and science.

  • Applies in this implementation:

    The course consists of lectures, lecture assignments, a choice of either individual or group assignment
    and exam. The course content familiarizes the students to the basic
    concepts, phenomena and problems of network theory. In the assingment the students select a phenomen of their own interest and
    analysis this phenomen applying network thinking. Finally, the exam
    verifies the mastery of the learned concepts. 

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    Lectures with learning diaries, assignment and exam.

  • Applies in this implementation:

    Each lecture credits one attendance point (max  7 points). Each
    lecture assignment earns 0-3 points (max 18 points). The individual or group assignment credits
    0-20 points (plus option for bonus uptil 3 points). The exam is max 45
    points. Maximum amount of points will be 90.

    Tentative grading: 45 points = grade 1, 53 = 2, 62 = 3, 71 = 4, 80 = 5

    To pass the course the student will need 50 % of the points (i.e. 45 points)

Workload
  • Valid 01.08.2020-31.07.2022:

    Contact teaching about 20 h, individual work about 80 h, exam about 30 h.

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    M.E.J. Newman (2010) Networks. An
    Introduction. Oxford University Press. Pages 1-104 and the concepts
    presented in lectures (check the explanations of the concepts also from relevant parts of the book, chapters 6 and 7)

  • Applies in this implementation:

    •Course book: M.E.J. Newman (2010) Networks. An
    Introduction. Oxford University Press. Pages 1-104 and the concepts
    presented in lectures (check the explanations of the concepts also from relevant parts of the book, chapters 6 and 7)

Substitutes for Courses
  • Valid 01.08.2020-31.07.2022:

    Inf-0.3101

Prerequisites
  • Valid 01.08.2020-31.07.2022:

    TU-A1100 Industrial Engineering and Management 1 is recommended.

FURTHER INFORMATION

Description

Registration and further information