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Academic Transcript
PersonaIlnformation
student
Date of Birth∶
Qua"币 cation sough⒈
Dexuan zhang
2彳 December1990
Master of scienCe
Progra"1me Information
Teaching lnstitution∶ University Co"ege LOndon Language oflnstruCtion∶ Eng"sh
MOde of Attendance∶ Ful卜fme
Programme of study∶ MSc cOmρuta刂 onal stausucs and Machine Learning
Univers"y Reference∶ 14o19876/1
hllaster of Science in COmputationaI statistiCs and Machine Learning
Dis】 nCtlon
01NOVember2015
HEsA Reference∶ 141刊 490198765
FHEQ LeveI∶ M
Award lnformation
Qualfica刂 on Awarded∶
Classifcation∶
Date of Award∶
Module lnformation
◆::卩
emic M。
duIe Code
2014/15 C○MPGlO1
COMPG丨07
C⊙MPG109
C0MPG113
C0MPG"5
COMPGI18
COMPGM99
sTATGO01
sTATG004
Awarding lnstitution∶ University Co"ege LOndon
Resu"
Mark Grade
MOduIe Name
superVIsed LearnIng
Programming and Mathematical Methods for MaChine Learning
App"ed hl achine Learning
AdVanced Topics in hllachine Learning
lnformauon Ret"eval and Data Mining
Probab"istiC and UnsuperVised Learning
lndiMdual Prolect
staus刂 cal MOdels and Data Analysis
AppⅡed Bayesian Methods
END OF TRANsCRlPT
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Master Transcript

  • 1. Academic Transcript PersonaIlnformation student Date of Birth∶ Qua"币 cation sough⒈ Dexuan zhang 2彳 December1990 Master of scienCe Progra"1me Information Teaching lnstitution∶ University Co"ege LOndon Language oflnstruCtion∶ Eng"sh MOde of Attendance∶ Ful卜fme Programme of study∶ MSc cOmρuta刂 onal stausucs and Machine Learning Univers"y Reference∶ 14o19876/1 hllaster of Science in COmputationaI statistiCs and Machine Learning Dis】 nCtlon 01NOVember2015 HEsA Reference∶ 141刊 490198765 FHEQ LeveI∶ M Award lnformation Qualfica刂 on Awarded∶ Classifcation∶ Date of Award∶ Module lnformation ◆::卩 emic M。 duIe Code 2014/15 C○MPGlO1 COMPG丨07 C⊙MPG109 C0MPG113 C0MPG"5 COMPGI18 COMPGM99 sTATGO01 sTATG004 Awarding lnstitution∶ University Co"ege LOndon Resu" Mark Grade MOduIe Name superVIsed LearnIng Programming and Mathematical Methods for MaChine Learning App"ed hl achine Learning AdVanced Topics in hllachine Learning lnformauon Ret"eval and Data Mining Probab"istiC and UnsuperVised Learning lndiMdual Prolect staus刂 cal MOdels and Data Analysis AppⅡed Bayesian Methods END OF TRANsCRlPT p t s l e t e e m m p 1 1 1 1 1 1 ˉ ˉ ˉ “ ο A c D D D D D D D P P 两 眨 私 ∞ 〃 〃 孔 “ 臼 「ra冖 sc″pf p刀刀fed0刀 02DeCeml,er20彳 5