Appendix E
Relevant Academic Courses and Programs

This appendix provides a list of relevant academic courses, online courses, and programs conducted by various top universities around the world. As of this writing, the course information and URLs of the course websites are found to be correct. However, it is possible that some of these universities may revise the academic curriculum or their websites and, as a result, changes can be expected. Readers are advised to consider such possible changes in the listed courses/programs. Any updates on the list of courses or newly created courses may be sent to the authors through email so that future editions of the book may incorporate the updated list. Further note that the list is alphabetically ordered.

• 2WS12/2MMS60: Information for Random Graphs and Complex Networks/Random Graphs, Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands.

  URL: http://www.win.tue.nl/∼rhofstad/RGCN.html

• 363-0588-00L: Complex Networks, Chair of Systems Design, ETH Zurich, Switzerland.

  URL: https://www.sg.ethz.ch/teaching/cn/

• AV 492: Complex Networks, Department of Avionics, Indian Institute of Space Science and Technology (IIST), Thiruvananthapuram, Kerala, India.

• COMPM042: Complex Networks and Web, Department of Computer Science, University College London, Bloomsbury, London, UK.

  URL: http://www.cs.ucl.ac.uk/students/syllabus/undergrad/m042_complex_networks_and_web/

• CPSC 462/562: Graphs and Networks, Department of Computer Science, Yale University, New Haven, CT, USA.

  URL: https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/

• CPSC 662: Spectral Graph Theory, Department of Computer Science, Yale University, New Haven, CT, USA.

  URL: http://www.cs.yale.edu/homes/spielman/561/

• CR15: Complex Networks, Computer Science Department, Ecole Normale Supérieure de Lyon, France.

  URL: http://perso.ens-lyon.fr/marton.karsai/Marton_Karsai/complexnet.html

• CS 60078: Complex Networks, Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India.

  URL: http://www.facweb.iitkgp.ernet.in/∼niloy/COURSE/Spring2006/CNT/

• CS 6012: Social Network Analysis, Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India.

  URL: http://www.cse.iitm.ac.in/academics/cs6012.php

• CS 6850: The Structure of Information Networks, Department of Computer Science, Cornell University, Ithaca, NY, USA.

  URL: http://www.cs.cornell.edu/courses/cs6850/2017sp/

• CS 765: Complex Networks, Department of Computer Science & Engineering, University of Nevada, Reno, NV, USA.

  URL: http://www.cse.unr.edu/∼mgunes/cs765/

• CSCI 5352: Network Analysis and Modeling, Santa Fe Institute, Santa Fe, NM, USA.

  URL: http://tuvalu.santafe.edu/∼aaronc/courses/5352/#CourseWork

• EE 599: Graph Signal Processing, Department of Electrical Engineering, University of Southern California, Los Angeles, CA, USA.

  URL: http://biron.usc.edu/wiki/index.php/EE_599_Graph_Signal_Processing

• EECS 6302.001: Dynamics of Complex Networks and Systems, Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas, Richardson, TX, USA.

  URL: https://coursebook.utdallas.edu/eecs6302.001.15s

• ESE 224: Signal and Information Processing, Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, USA.

  URL: https://alliance.seas.upenn.edu/∼ese224/wiki/

• ET4389: Complex Networks from Nature to Man-made Networks, Electrical Engineering, Mathematics and Computer Science, TU Delft, The Netherlands.

  URL: http://studiegids.tudelft.nl/a101_displayCourse.do?course_id=31684

• Economics-2040/Sociology-2090/ComputerScience-2850/Information-Science-2040: Networks, Cornell University, Ithaca, NY, USA.

  URL: https://courses.cit.cornell.edu/info2040_2014fa/

• Esam 395: Introduction to Complex Networks, Engineering Sciences and Applied Mathematics, Northwestern University, Evanston, IL, USA.

  URL: http://rocs.northwestern.edu/Courses/F11-395/Home.html

• HY-383: Complex Network Dynamics, Computer Science Department, University of Crete, Gallos, Greece.

  URL: http://www.csd.uoc.gr/∼hy383/

• M375T/M396C: Topics in Complex Networks, Department of Statistics and Data Sciences, University of Texas at Austin, Austin, TX, USA.

  URL: http://www.ma.utexas.edu/users/rav/ComplexNetworks/

• MSE 337: Spectral Graph Theory and Algorithmic Applications, Management Science and Engineering, Stanford University, Stanford, CA, USA.

  URL: http://web.stanford.edu/class/msande337/

• MTH 6142: Complex Networks, Queen Mary University of London, London, UK.

  URL: http://qmplus.qmul.ac.uk/course/view.php?id=2482

• NETS 112: Networked Life, Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.

  URL: http://www.cis.upenn.edu/∼mkearns/teaching/NetworkedLife/

• PHYS 5116: Complex Networks, Center for Complex Network Research, Northeastern University, Boston, MA, USA.

  URL: https://www.barabasilab.com/course

• Structure and Dynamics of Complex Networks, Department of Computer Science and Software Engineering, Aquincum Institute of Technology, Budapest, Hungary.

  URL: http://www.ait-budapest.com/structure-and-dynamics-of-complex-networks

• W3233, Networks and Complexity in Social Systems, Sociology Department, Columbia University, New York, NY, USA.

  URL: http://www.columbia.edu/itc/sociology/watts/w3233/

• Complex Network: Theory and Application by Prof. Animesh Mukherjee, Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, Kharagpur, West Bengal, India.

  URL: http://nptel.ac.in/courses/106105154/

• Coursera online course on Applied Social Network Analysis in Python by Daniel Romero, School of Information, University of Michigan.

  URL: https://www.coursera.org/learn/python-social-network-analysis

• Coursera online course on Networks Illustrated: Principles without Calculus by Christopher Brinton and Mung Chiang, Department of Electrical Engineering, Princeton University.

  URL: https://www.coursera.org/learn/networks-illustrated

• Coursera online course on Social and Economic Networks by Matthew O. Jackson, Economics Department, Stanford University.

  URL: https://www.coursera.org/learn/social-economic-networks

• Computation and Mathematics for Biological Networks (COMBINE) Program, University of Maryland, College Park, MD, USA.

  URL: http://www.combine.umd.edu/

• Graduate Program on Complex Networks and systems, School of Informatics and Computing, Indiana university, Bloomington, IN, USA.

  URL: http://www.soic.indiana.edu/graduate/degrees/informatics/complex-systems/index.html

• IGERT Program, University of California, Santa Barbara, Santa Barbara, CA, USA.

  URL: https://networkscience.igert.ucsb.edu/

• M.Sc. in Complex Systems Modelling, Department of Mathematics, King’s College London, London, United Kingdom.

  URL: http://www.kcl.ac.uk/nms/depts/mathematics/study/current/handbook/progs/pg/msc-complexsystemsmodelling.aspx

• Master’s Program in Applied Statistics with Network Analysis, International Laboratory for Applied Network Research, Higher School of Economics, Moscow, Russia.

  URL: https://www.hse.ru/en/ma/sna/

• Ph.D. Certificate Program in Network Science, Center for Network Science (CNS), Central European University, Budapest, Hungary.

  URL: https://cns.ceu.edu/node/39041

• The Network Science Ph.D. program, Network Science Institute, Northeastern University, Boston, MA, USA.

  URL: http://www.networkscienceinstitute.org/phd