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Comment: Anonymizing to satisfy GDPR rules

Here is an overview of foreign exchange students, and which TDT/IT/nn - classes they have applied for at NTNU 2017-2018.

The students themselves are responsible for checking that they meet the requirements given for each class, according to the flowchart and limitations given on the Course Dependencies page.

  1. DT8115 - Learning in Technology Rich Environments (PhD-level!)

  2. IFUD1056 F? Python for programmers 

  3. IFUD1123 F? Big Data

  4. IT2805 F Web Technologies 
  5. * IT3105 IT3105 AI-prog (Strict limitations!)prerequisites!). See http://www.ntnu.no/studier/emner/IT3105#tab=omEmnetTDT4136 and TDT4171 or equivalent must be taken first.

  6. TDAT3023 F TDAT3023 3D Computer Graphics with Project Project 15 ECTS (2x)

  7. TDT4100 S OOP Java

  8. TDT4120 F Algorithms and Data Structures
  9. TDT4136 F Introduction to Artificial Intelligence
  10. TDT4165 Programming F Programming Languages

  11. TDT4173 S Machine Learning and Case-Based Reasoning

  12. TDT4175 F Information Systems

  13. TDT4195 F Visual TDT4195 Visual Computing Fundamentals
  14. TDT4200 Parallel F Parallel Computing

  15. TDT4205 S Compiler Construction
  16. TDT4210 (X) Healthcare Informatics (NOT taught 2017-...)
  17. TDT4215 S Web Intelligence
  18. TDT4230 S Graphics & Visualization

  19. TDT4237 S Software Security Security
  20. TDT4240 S Software Architecture
  21. TDT4242 S Advanced Software Engineering
  22. TDT4250 F Advanced TDT4250 Advanced Software Design

  23. TDT4252 Enterprise TDT4252 F Enterprise Architecture for Enterprise Innovation
  24. TDT4255 Computer DesignTDT4287 Algorithms for Bioinformatics  (FX) Computer Design (NOT taught 17-18!)

  25. TDT4260 S Computer Architecture

  26. TDT4265 S Computer Vision and Deep Learning

  27. TDT4287 F Algorithms for Bioinformatics

  28. TDT4290 F Computer Science, Specialization Course (select two modules!)
  29. * TDT4501 F Computer Science, Specialization Project (contact professor as soon as possible!)
  30. * TDT4900 S Computer Science, Master's Thesis (contact professor first, now!)

Explanations to the numbers/symbols in the table

  • 1 is accept
  • 1? is conditional accept (pending Keith Downing, prerequisites check)
  • 0,5 is accept for a class that is listed as "backup" in case the student can not enter other classes.
  • 0 is reject
  • Asterisk * marks potential difficult classes, where direct contact with the teacher/a professor is required.
Matthias Johannes Birtthaler Luis Tome Pinto de Almeida Borges Tanguy Herve Francois Carne Nils Christmann 
Name \ Classes (Fall+Spring)
School
1056
1123
2805
IT3105 *
3023
-
4100 
4120
4136
4145
4165
4173
4175
4195
4200
42054210
4215
42254230
4237
4240
4242
4250
4252
4255 *
4257
4260
4265
4287
4290
4501 *
4900 *
8115 *
SUM  
NNEc Paris                 1  1   1 1   1      
NN                 Wiebke Aubert        1         1  
Camille Conrad Aussems NN (5+1)EPFL        1                0        1  
Anna Annida Elisabeth Baumgard NN (3+0)HSTWB   1?             1                2?  
NNDavid Jean Marcel BernadetEPF   1?      1         1             3?  
NN (3+0)TUM                    1  1          2  
NN (3+0)UL-IST                        1         1  
NN (4+0)3iL            1 1     1  1   Ricardo Gonzalez Carrascosa        4  
NN (3+0) *              1                    1  
Paul (4+0)INSA T          1                       1  Clementine Claire Maud Chevalier
NN (3+0)INSA R       1                   Ivaylo Ivaylov Chividzhiyan        1  
Name \ Classes (Fall+Spring)
School
1056
1123
2805
IT3105 *
3023
-
4100
4120
4136
 
4165
4173
4175
4195
4200
4205 
4215
4225 
4237
4240
4242
4250
4252
4255 *
 
4260
4265
4287
4290
4501 *
4900 *
8115 *
SUM  
NN (4+5?)IUT Nice11  1               1  1 0   11    6  
NN (4+0)U i Stuttg          1         1  1   Bart Claessens        3  
NN (3+3?) * 4. klasse, 21844KU Leuv          11 1   1   1 1          6  
NN (3+0)ENSIMAG                    1             1  
NN (2* + 3)Poli Madrid                 1             1  2  
NN (6+0)             1                     1  
NN (2+0)    1?                              1?  
NN (1+0)             1                     1  
NN (4+0)UTT            1       1   1     1   4  
Tobias (4+0)TUM              1                   1  
NN 5+4*?)P Torino        1   1     1             4 7  
Name \ Classes (Fall+Spring)
School
1056
1123
2805
IT3105 *
3023
-
4100
4120
4136
4145
4165
4173
4175
4195
4200
4205 
4215
4225 
4237
4240
4242
4250
4252
4255 *
 
4260
4265
4287
4290
4501 *
4900 *
8115 *
SUM  
NN 4+0)Nice                         0        0  
NN INSA T          1                          
NN (2+1)?Pais Vasco              1                   1  
NN (0+3)?Corunha               1      1     1     3  
NN (4+0)Mannheim    1    1                           
NN (4+0)Osnabrück     1        1                    2  
NN (4+0)Aachen         1    1                    2  
NN (4+0)Grenoble             0,5          1          1,5  
NN (3+0)Karlsruhe             1                     1  
NN (3+0)Karlsruhe                         1         1  
NN (3+3)Karlsruhe                       1           1  
NN (3+0)ParisTech            1 1         1         3  
NN (3+0)Poli Madrid                        1    1    2  
NN (1?+1?) SPRING!Bretagne                     1             1  
Name \ Classes (Fall+Spring)
School
1056
1123
2805
IT3105 *
3023
-
4100
4120
4136
4145
4165
4173
4175
4195
4200
42054210
4215
42254230
4237
4240
4242
4250
4252
4255 *
 
4260
4265
4287
4290
4501 *
4900 *
8115 *
SUM  
NN (1+0)Grenoble         1                         1  
NN (4+0)INSA R   1?                              1?  
Valentin NN (4+0)Toulouse               1        1          2  
NN (4+0)Aachen         1                         1  
NN (5+0) BSc vs MSc!Pardubice              11                   2  
NN (3+0)Poli Madrid                        1    1    2  
NN (4+0)UCLouvain             1      1  1          3  
NN (5+3)EPFL                           1      1  
NN (1+1?)?C3 Madrid             1   1                2  
NN (2+0)Ghent  1 1?                              2?  
NN (4+4) BSc vs MSc!Rapperswil           11 111 1   1   0        7  
NN (4+0) => (3+0)ENSIMAG                0  1          1     2  
Tom (4+4)INSA dL           1     1   1               
NN INSA T   1?  1                           2?  
NN (5+0)Cracow                                  00  
Name \ Classes (Fall+Spring)
School
1056
1123
2805
IT3105 *
3023
-
4100
4120
4136
 
4165
4173
4175
4195
4200
42054210
4215
42254230
4237
4240
4242
4250
4252
4255 *
 
4260
4265
4287
4290
4501 *
4900 *
8115 *
SUM  
NN (3,8+0)TUM        1 1   1                   3  
NN (4+0) +3 (0,5=backup)TUM                        0,5         0,5  
NN (1+0)?Virgili              1                    1  
NN (4+0) PhD?Chaussees 111                               3  
NN (3+0)HTW Berlin 11  1                             3  
NN (2+0)HTW Berlin                              1    1  
NN (3+0)Louvain    1?         1                    2?  
NN (5+4) MScPrague    1?                              1?  
NN (4+0)Bergamo    1?                1             2?  
Name \ Classes (Fall+Spring)
School
1056
1123
2805
IT3105 *
3023
-
4100
4120
4136
 
4165
4173
4175
4195
4200
4205 
4215
4225 
4237
4240
4242
4250
4252
4255 *
 
4260
4265
4287
4290
4501 *
4900 *
8115 *
SUM  
                                       
Sum Students pr. Class 3419?4 116 737,51082 61 103287,50 1151140

100
fagStud