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ca 50 30 credits = 60studiepoeng - 16 credits = 60 stp på engineering 30 studiepoeng 

emneemnenavnectsNTNU emneGodkjentfagldatomerknad
BU26031Doing Business in China (2) Human Resource Management 2,5?TIØ4161 Prosjekt og personalledelse*JATim Torvatn2019-01-30
ECON2101Microeconomic TheoryTIØ4118 Ind økonomisk analyseJAIIMT3636Decision and risk analysis ITIØ4126 OptimeringJAMGMT3475Current topics in human resource managementTIØ4161 Prosj og personalledelseJA

* et erstatningsemne til TIØ4161 kan kun innpasses tom. våren 2024, det kreves godkjenning fra faglærer for TIØ4162 for utveksling fra høsten 2024

EC306Intermediate Microeconomics http://ecc.sjtu.edu.cn/html/course_34.html8TIØ4118 Industriell økonomisk analyseeJARuud Egging2019-03-15
EC200Optimization Methods in Economics http://www.uq.edu.au/uqabroad/docs/sjtu-optimization-methods-in-economics.pdf6




BU 104Introduction to marketing credits4?




BU406Internet marketing2?




HR410International HRM4?
COMP2119Introduction to data structures and algorithmsTDT4120 Algoritmer og datastrukturerJAELEC3844Engneering management and societyfyllfag for studiepoengJA





NA341Modern Ship Construction Technology 6,25?TMR4125 SkipsbyggingJAArnulf Hagen2019-02-05
MA250Operations Research 
TIØ 4126Optimering
6TIØ4126 OptimeringJAKjetil Fagerholt2019-01-31
X100531Variational Theory and Finite Element Method /x1005317,5?TMR4320 Simuleringsbasert DesignJAEkaterina Kim2019-01-25
CS046

C++ Programming

http://ecc.sjtu.edu.cn/html/course_40.html

6?TDT4102 Prosedyre og obj or progrJALasse Natvig2019-02-07

Introduction to numerical methods

http://umji.sjtu.edu.cn/academics/courses/courses/300-400-level/vv-471-introduction-to-numerical-methods/

6TMA4130 Matematikk 4JAMarkus Grasmair2019-03-07
BU311Marketing (B)3 credTIØ4165 MarkedsføringsledelseJAØyvind Bjørkum2019-03-15
CL036Elementary Chinese (4credts)8 stpfyllfag for studiepoeng




Disaster Prevention and Mitigation in Civil Engineering4fyllfag for studiepoeng




State of the art for Marine Technology
TMR4120 UndervannsteknikkJAMartin Ludvigsen2019-09-17
ECE6705JDeep Reinforcement Learning3 cred / 7,5 spTeknisk emne på masternivå for datatek AI-studenterJAZhirong Yangjuni 2024