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In order to convert to and from ECTS we can use the GNAG database . It says that courses100-199 Freshman will not be approved. Courses 200-499 Bachelor (sophomore, junior, senior) and courses 500-999 are at Graduate level. It also says that in order to gain 60 ECTS 32 credits at under graduate level and 24 credits at graduate level.
NOTICE REGARDING TDT4290(Customer Driven Project), IT2901(Informatics Project II), Experts in Teams: We approve these courses against relevant courses which have a good percentage of group work.
UMICH
Credit hours UMICH
units ECTS
NTNU course
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EECS 545: Machine Learning
X? X*2,5 TDT4173 - Machine Learning CIS 376- Software Engineering II 4 4*1,875 = 7,5 TDT4242 - Advanced Software Engineering CIS 580- Data Analytics for Software Engineering 3 3*2,5 TDT4242 - Advanced Software Engineering the course is a bit different but we can approve as TDT4242. If the student wish to take both CIS376 and CIS 580 we have to find another solution SI 523 - Information and Control 3 7,5 TDT4175 Information Systems LJ 2020 SI 536 - Introduction to Urban Informatics 3 7,5 TDT4245 Cooperation Technology and Social Media LJ 2020 SI 537 - Crisis Informatics 3 7,5 Experts in Teamwork(EiT) LJ 2020 S I 544 - Introduction to Statistics and Data Analysis 3 7,5 TDT4216 Applied Data Science LJ 2020 SI 561 - Natural Language Processing 3 7,5 TDT4310 Intelligent Text Analytics and Language Understanding LJ 2020 SI 570 - Semantics-Based Knowledge Descriptions and Organization 3 7,5 TDT4252 Enterprise Architecture for Enterprise Innovation LJ 2020 SI 646 - Information Economics 3 7,5 TTM4165 Digital Economics LJ 2020 SI 648 - Evaluation and Research Methods for Health Informatics and Learning Systems 3 7,5 IT3010 Research-based Innovation Methodologies in Computer and Information Science LJ 2020 EECS 547 (SI 652): Electronic Commerce 3 7,5 TTM4165 Digital Economics K-emne EECS 505: Computational Data Science and Machine Learning 4 10 IT3105 Artificial Intelligence Programming EECS 504. Foundations of Computer Vision 3 7,5 TDT4265 Computer Vision and Deep Learning EECS 588: EECS 281. Data Structures and Algorithms 4 7.5 TDT4120 - Algorithms and Data Structures EECS 492. Introduction to Artificial Intelligence 4 7.5 TDT4136 - Introduction to artificial intelligence EECS 586. Design and Analysis of Algorithms 4 10 TDT4125 - Algorithm Construction EECS 588. Computer and Network Security 4 10 TTM4135 - Applied Cryptography and Network Security EECS 596. Master of Engineering Team Project 1-6 7-17 TDT4290 - Customer Driven Project I-emne EECS 576. Advanced Data Mining EECS 692. Advanced Artificial Intelligence 4 10 TDT4171 - Artificial Intelligence Methods LJ 27 Sep 2019 Experts in Teamwork(EiT)