Schedule: 16.09.2019 - 11.12.2019
Contact information for the course (applies in this implementation):
Responsible teacher Stina Giesecke
Course assistant NN
email firstname. firstname.lastname@example.org
Teaching Period (valid 01.08.2018-31.07.2020):
I-II autumn (2018-2019, 2019-2020)
Learning Outcomes (valid 01.08.2018-31.07.2020):
After the course the student has an overall understanding about network theory and the possibilities to apply network concept in different disciplines.
Content (valid 01.08.2018-31.07.2020):
The course deals with basic concepts of network theory and science.
Details on the course content (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 01.08.2018-31.07.2020):
Lectures with learning diaries, individual assignment and exam.
Elaboration of the evaluation criteria and methods, and acquainting students with the evaluation (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.
Workload (valid 01.08.2018-31.07.2020):
Contact teaching about 20 h, individual work about 80 h, exam about 30 h.
Details on the course materials (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 01.08.2018-31.07.2020):
Course Homepage (valid 01.08.2018-31.07.2020):
Prerequisites (valid 01.08.2018-31.07.2020):
MS-A0402 Foundations of discrete mathematics and TU-A1100 Industrial Engineering and Management 1 are recommended.
Registration for Courses (valid 01.08.2018-31.07.2020):
A maximum of 60 students are admitted. Students majoring in Information networks are given priority. Other students are admitted in order of registration.