Hi I am interested in having the details for completing the B.Tech in Computer Science and Engineering as well as the detailed syllabus for the same?

So as to graduate with B.Tech in Computer Science and Engineering, an understudy should effectively finish 173 credits with least CGPA of 5.5 and meet the accompanying prerequisites.

(i) Must effectively finish the Institute Core.

(ii) Must effectively finish no less than three Foundation Bouquet Courses

(iii) Must effectively finish no less than three Systems Bouquet Courses

(iv) Must effectively finish no less than one Maths Elective course in years III and IV

(v) Must effectively finish no less than one Engineering Elective course in years III and IV

(vi) Must effectively finish no less than two Science Elective courses in years III and IV

(vii) Must effectively finish no less than three Humanities Elective courses in years III and IV

(viii) Must effectively finish no less than two CS elective courses in years III and IV

(ix) Must effectively finish no less than 10 credits of Free/CS elective courses in years III and IV (these can be utilized to do courses of level 3xx or above in any range: CS/ECE/Science/Maths/ Humanities/Engg).

(x) Must effectively finish 4 credits from Physical Activity (Non scholarly credit – Excluding 173 – to be finished in initial 2 years)

Please find the file attached below for the course syllabus for the CSE discipline at IIIT, Hyderabad

Foundation Courses Semester Offered
• CSE411 Complexity and Advanced Algorithms Spring
• CSE471 Statistical Methods in AI Monsoon
• CSE415 Principles of Programming Languages Monsoon
• CSE481 Optimization Methods Spring
• CSE418 Principles of Information Security Spring

Systems Courses
• CSE431 Distributed Systems Monsoon
• CSE441 Database Systems Spring
• CSE435 Advanced Computer Networks Spring
• CSE419 Compilers Monsoon
• CSE461 Software Engineering Spring

Stream Courses
Data Engineering
• CSE441 Database Systems
• CSE445 Data Warehousing and Data Mining
• CSE541 Advances in Database Systems
• CSE545 Advances in Data Mining
Language Technologies
• CSE472 Natural Language Processing
• CSE572 Natural Language Processing II
• CSE573 Natural Language Applications
• CLG431 Natural Language Dialog Systems
• CSE474 Information Retrieval and Extraction
Robotics
• ECE452 Intro to Robotics: Machines & Control
• ECE485 Embedded Robotics
• CSE481 Mobile Robotics
• CSE482 Multi Agent Systems
• CSE485 Introduction to Cognitive Science
Security, Theory and Algorithms
• CSE418 Computational Geometry
• CSE415 Cryptography and Network Security
• CSE811 Topics in Information Security
• CSE538 Systems and Network Security
Visual Information Technology
• CSE251 Graphics
• CSE471 Statistical Methods in AI
• CSE478 Image Processing
• CSE577 Machine Learning
• CSE578 Computer Vision
• VLSI & Embedded Systems
• ECE481 Analog & Mixed Signal Design
• ECE468 Modeling and Simulation of High-Speed VLSI Systems
• ECE485 Embedded Robotics

Attached Files

Course Syllabus B.Tech CSE.doc (181.5 KB, 99 views)