Difference between revisions of "BSc:Syllabi Table"

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| style="vertical-align:middle; background-color:#F8F9FA; color:#202122; text-align:center;" | AAI
  
| style="vertical-align:middle; background-color:#F8F9FA; color:#202122; text-align:center;" | AAI
 
| 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="text-align:center;"
  
|- style="text-align:center;"
 
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:_Introduction_To_Machine_Learning CSE302 — Introduction to Machine Learning]
  
| style="background-color:#F8F9FA; color:#36B;" | [https://eduwiki.innopolis.university/index.php/BSc:_Introduction_To_Machine_Learning CSE302 — Introduction to Machine Learning]
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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
−
| [https://eduwiki.innopolis.university/index.php/GeorgyGelvanovsky Georgy Gelvanovsky] <br /> [https://eduwiki.innopolis.university/index.php/RuslanSaduov Ruslan Saduov ] <br /> [https://eduwiki.innopolis.university/index.php/RababMarouf Rabab Marouf] <br /> [https://eduwiki.innopolis.university/index.php/GuzelFazlyeva Guzel Fazlyeva] <br /> [https://eduwiki.innopolis.university/index.php/EvgeniyaKruglova Evgeniya Kruglova]
  
 
|- 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]

Revision as of 10:01, 19 July 2022

Overview of the BS Program

The detailed description of the program can be found here.

BS3 - T1
Subject SD CS DS AAI R
CSE302 — Introduction to Machine Learning Yes Yes Yes Yes Yes
HSS602 — Philosophy II (Languages and Perceptions) [Moodle] Yes Yes Yes Yes Yes
CSE109 — Programming Paradigms (Moodle) Yes Yes Yes
CSE114 — Distributed And Network Programming (Moodle) Yes Yes Yes Yes
CSE115 — Compilers Construction Yes Yes
CSE304 — Game Theory (Moodle) Yes Yes
CSE340 — Nature Inspired Computing Yes
CSE___ — Reinforcement Learning Yes
CSE405 — Mechatronics (Moodle) Yes
CSE408 — Theoretical Mechanics (Moodle) Yes
CSE406 — Fundamentals of Robotics Yes
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)
CSE306 — Information Retrieval Yes Yes Yes Yes
CSE108 — Advanced Compilers Construction and Program Analysis Yes
CSE303 — Introduction to Big Data Yes Yes
CSE305 — Data Mining Yes
CSE311 — Natural Language Processing Yes
CSE404 — Sensors and Sensing Yes
CSE407 — Mechanics And Machines Yes
CSE409 — Robotic Systems Yes
CSE502 — System And Network Administration Yes Yes
CSE503 — Network And Cyber Security Yes
CSE504 — Signals and Systems Yes Yes Yes
CSE509 — Fundamentals of Information Security Yes
CSE803 — Lean Software Development Yes
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
HSS601 — History (History of Russia, World History) Yes Yes Yes Yes Yes
Hum Elective 2 Yes Yes Yes Yes Yes
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