Network Science
AY2017/2018 Semester 2
CZ4071 is designed to cover a number of topics in network science and its applications. The specific topics include network metrics, properties, and models, network querying and analytics, network dynamics, and distributed graph engines. Students will Learn advanced network science principles relevant to drive data science in the 21st century. Apply network science principles to implement a real-world complex network application. In addition to learning about network science, this course will also give the students an opportunity to practice important research skills. Students will Gain experience reading and critically evaluating original research papers. Practice communicating complex technical material, both orally and in written form.
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To Programme | ACBS, ACC, ADM, AERO, ASEC, BEEC, BIE, BMS, BS, BSPY, BUS, CBE, CBEC, CEE, CEEC, CHEM, CHIN, CS, CSEC, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ENE, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, SOC, SSM |
| Not Available To All Programme With | (Admyr 2004-2010) |
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