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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 | Comments | OK |
|---|
EECS 545: Machine Learning | X? | X*2,5 | TDT4173 - Machine Learning | LJ - this is just a suggestion | CIS 376- Software Engineering II | 4 | 4*1,875 = 7,5 | TDT4242 - Advanced Software Engineering |
| - this is just a suggestion |
| CIS 580- Data Analytics for Software Engineering | 3 | 3*2,5 | ? | at NTNU we do not have such a course as far as I know but we would need it | 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 |
| SI 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 MethodsExperts in Teamwork(EiT) |
| |
