Difference between revisions of "MSc:Syllabi Table"

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(Created page with "= Overview of the MS Program = [https://eduwiki.innopolis.university/index.php/MSc:Syllabi_Index MSc The detailed description of the program can be found here.] {| class="wi...")
 
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{| class="wikitable" style="text-align:center; background-color:#ffffff;"
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|- style="text-align:left;"
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! colspan="5" style="text-align:center; font-weight:bold;" | Year 2, Fall Semester
  +
|- style="text-align:left;"
  +
|
  +
| DS
  +
| R
  +
| SNE
  +
| MSIT-SE
  +
|-
  +
| Machine Learning (From Y1 of MS-DS-R before)
  +
| No
  +
| No
  +
| Yes
  +
| Yes
  +
|-
  +
| Optimization
  +
| Yes
  +
| Yes
  +
| No
  +
| No
  +
|-
  +
| Managing Software Development
  +
| Yes
  +
| No
  +
| No
  +
| No
  +
|-
  +
| Master Practicum Project
  +
| Yes
  +
| Yes
  +
| No
  +
| No
  +
|-
  +
| Technical Elective 4
  +
| Yes
  +
| Yes
  +
| Yes
  +
| Yes
  +
|-
  +
| Technical Elective 5
  +
| No
  +
| No
  +
| Yes
  +
| Yes
  +
|-
  +
| Humanitarian Elective 3
  +
| No
  +
| Yes
  +
| No
  +
| No
  +
|- style="text-align:left;"
  +
| colspan="5" style="text-align:center; font-weight:bold;" | Year 2, Spring Semester
  +
|-
  +
| style="text-align:left;" |
  +
| DS
  +
| R
  +
| SNE
  +
| MSIT-SE
  +
|- style="vertical-align:bottom;"
  +
| Master Practicum Project
  +
| Yes
  +
| Yes
  +
| No
  +
| No
  +
|- style="vertical-align:bottom;"
  +
| Thesis Final Defense
  +
| Yes
  +
| Yes
  +
| Yes
  +
| Yes
  +
|- style="vertical-align:bottom;"
  +
| High-dimensional data analysis (HDDA)
  +
| Yes
  +
| No
  +
| No
  +
| No
  +
|- style="vertical-align:bottom;"
  +
| Technical Elective 6
  +
| No
  +
| Yes
  +
| Yes
  +
| Yes
  +
|- style="vertical-align:bottom;"
  +
| Technical Elective 7
  +
| No
  +
| No
  +
| No
  +
| Yes
  +
|- style="vertical-align:bottom;"
  +
| Humanitarian Elective 3
  +
| Yes
  +
| Yes
  +
| Yes
 
| No
 
| No
 
|}
 
|}

Revision as of 11:35, 16 August 2021

Overview of the MS Program

MSc The detailed description of the program can be found here.

Year 1, Fall Semester
DS R SNE MSIT-SE
Empirical Methods Yes No No Yes
MSD No No No Yes
Machine Learning Yes Yes No No
Requirements Engineering No No No Yes
Big Data Technologies and Analytics Yes No No No
Advanced networking No No Yes No
Software Design with Python Yes Yes No No
Classical internet applications No No Yes No
Security of systems and networks No No Yes No
Internetworking and routing No No Yes No
Research Project (SNE) No No Yes No
Sensing, perception, and actuation No Yes No No
Fundamental of Robot Control No Yes No No
Dynamics of non linear robotic systems No Yes No No
PSP No No No Yes
Humanitarian Elective 1 Yes No Yes No
Year 1, Spring Semester
DS R SNE MSIT-SE
Advanced Statistics Yes No No No
Advanced Machine Learning Yes No No No
Advanced Information Retrieval Yes No No No
Large Systems No No Yes No
Cyber-crime and forensics No No Yes No
Offensive Technologies No No Yes No
High-dimensional data analysis (HDDA) Yes No No No
Advanced Security No No Yes No
Industrial Project (SNE) No No Yes No
Computer Vision No Yes No No
Computational Intelligence No Yes No No
Advanced Robotics No Yes No No
Project (R) No Yes No No
MSS No No No Yes
ASA No No No Yes
ASS No No No Yes
Communication No No No Yes
Ind. project 1 (MSIT-SE) No No No Yes
Systematic Literature Review for Data Science & Robotics Yes Yes No No
Humanitarian Elective 2 No No Yes No
Technical Elective 1 No No No No
Year 2, Fall Semester
DS R SNE MSIT-SE
Machine Learning (From Y1 of MS-DS-R before) No No Yes Yes
Optimization Yes Yes No No
Managing Software Development Yes No No No
Master Practicum Project Yes Yes No No
Technical Elective 4 Yes Yes Yes Yes
Technical Elective 5 No No Yes Yes
Humanitarian Elective 3 No Yes No No
Year 2, Spring Semester
DS R SNE MSIT-SE
Master Practicum Project Yes Yes No No
Thesis Final Defense Yes Yes Yes Yes
High-dimensional data analysis (HDDA) Yes No No No
Technical Elective 6 No Yes Yes Yes
Technical Elective 7 No No No Yes
Humanitarian Elective 3 Yes Yes Yes No