Difference between revisions of "BSc:Syllabi Table"

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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122; text-align:center;" | R
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122; text-align:center;" | R
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122; text-align:center;" | Instructor(s)
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122; text-align:center;" | Instructor(s)
  ⚫
|- style="text-align:center;"
  ⚫
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:SoftwareQualityandReliability.S22 CSE806 — Software Quality and Reliability]
  ⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  ⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  ⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  ⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  ⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  +
|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
| style="background-color:#F8F9FA; color:#36B;" | [Human-AI Interaction Design]
  
| style="background-color:#F8F9FA; color:#36B;" | [Human-AI Interaction Design]
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  +
|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:_Statistical_Techniques_For_Data_Science CSE310 — Statistical Techniques for Data Science and Robotics]
  
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:_Statistical_Techniques_For_Data_Science CSE310 — Statistical Techniques for Data Science and Robotics]
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  +
|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:AcademicResearchandWritingCulture2.S22 HSS502 — Academic Research and Writing Culture 2]
  
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:AcademicResearchandWritingCulture2.S22 HSS502 — Academic Research and Writing Culture 2]
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  +
|
⚫
|- style="text-align:center;"
  
⚫
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:SoftwareQualityandReliability.S22 CSE806 — Software Quality and Reliability]
  
⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  
⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  
⚫
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" |
  
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
| style="background-color:#F8F9FA; color:#36B;" | [Practicum Project - 2]
  
| style="background-color:#F8F9FA; color:#36B;" | [Practicum Project - 2]
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  +
|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
|- style="text-align:center;"
  
|- style="text-align:center;"
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  +
|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
|- style="text-align:center;"
  
|- style="text-align:center;"
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
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|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
|- style="text-align:center;"
  
|- style="text-align:center;"
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
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|
 
|- style="text-align:center;"
  
|- style="text-align:center;"
 
|- style="text-align:center;"
  
|- style="text-align:center;"
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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
 
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122;" | Yes
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|- style="text-align:center;"
  
|- style="text-align:center;"

Revision as of 11:00, 21 April 2022

Overview of the BS Program

The detailed description of the program can be found here.

BS3 - T1
Subject SD CS DS AAI R Instructor(s)
CSE302 — Introduction to Machine Learning Yes Yes Yes Yes Yes Adil Khan
HSS602 — Philosophy II (Languages and Perceptions) [Moodle] Yes Yes Yes Yes Yes Mirko Farina
CSE109 — Programming Paradigms (Moodle) Yes Yes Yes Nikolay Kudasov
CSE114 — Distributed And Network Programming (Moodle) Yes Yes Yes Yes Shinnazar Seytnazarov
CSE115 — Compilers Construction Yes Yes Evgeni Zouev
CSE304 — Game Theory (Moodle) Yes Yes Nikolay Shilov
CSE340 — Nature Inspired Computing Yes
CSE___ — Reinforcement Learning Yes
CSE405 — Mechatronics (Moodle) Yes Igor Gaponov
CSE408 — Theoretical Mechanics (Moodle) Yes Alexandr Maloletov
Intoduction to Robotics Yes Alexandr Klimchik
Hum Elective 1 Yes Yes Yes Yes Yes
HSS105 — Physical Culture and Sport (Moodle) Yes Yes Yes Yes Yes
BS3 - T2
Subject SD CS DS AAI R Instructor(s)
— Information Retrieval Yes Yes Yes Yes Giancarlo Succi
CSE108 — Advanced Compilers Construction and Program Analysis Yes Nikolay Kudasov
CSE303 — Introduction to Big Data Yes Yes
CSE305 — Data Mining Yes Armen Beklaryan
CSE311 — Natural Language Processing Yes Vladimir Ivanov
CSE404 — Sensors and Sensing Yes Kirill Poletkin
CSE407 — Mechanics And Machines Yes Alexandr Maloletov
CSE409 — Robotic Systems Yes Igor Gaponov
CSE502 — System And Network Administration Yes Yes
CSE503 — Network And Cyber Security Yes Vladimir Ivanov
CSE504 — Signals and Systems Yes Yes Yes
CSE509 — Fundamentals of Information Security Yes Shynnazar Seytnazarov
CSE803 — Lean Software Development Yes Giancarlo Succi
Tech Elective 1 Yes Yes Yes Yes Yes
Tech Elective 2 Yes Yes Yes Yes Yes
[Industrial Placement, Project Environment Engineering Training] Yes Yes Yes Yes Yes
BS4-T1
Subject SD CS DS AAI R Instructor(s)
CSE307 — Introduction to Computer Vision Yes Yes Yes
CSE308 — Practical Machine Learning And Deep Learning Yes Yes Yes
DevOps Engineering Yes Yes
[Total Virtualization or Software Architecture] Yes
Secure System Development Yes
HSS501 — Academic Research and Writing Culture 1 Yes Yes Yes Yes Yes
[Practicum Project - 1] Yes Yes Yes Yes Yes
Tech Elective 3 Yes Yes Yes Yes Yes
Tech Elective 4 Yes Yes Yes Yes Yes
BS4-T2
Subject SD CS DS AAI R Instructor(s)
CSE806 — Software Quality and Reliability Yes Yes
[Human-AI Interaction Design] Yes
CSE310 — Statistical Techniques for Data Science and Robotics Yes Yes
HSS502 — Academic Research and Writing Culture 2 Yes Yes Yes Yes Yes
[Practicum Project - 2] Yes Yes Yes Yes Yes
[Thesis - Final] Yes Yes Yes Yes Yes
[Theoretical Sports] Yes Yes Yes Yes Yes
[History] Yes Yes Yes Yes Yes
Hum Elective 2 Yes Yes Yes Yes Yes
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