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B. Tech in Computer Science and Engineering

Value Added Courses

Specialization courses offered by Computer Science and Engineering

Computer Science & Engineering (CSE) Program

 

Sl.No. Specialization Professional Elective – 6
1. Artificial Intelligence & Machine Learning Computer Vision
Natural Language Processing
2. Data Science Deep Learning
Streaming Analytics
3. Cyber Security Security Governance, Risk and Compliance
Operation System Security
4. Internet of Things Energy Management for IOT devices
Edge Computing
5. Robotics and Automation
6. Block chain
7. Gaming and Virtual Reality

 

BUCKETS FOR PROFESSIONAL ELECTIVES AND OPEN ELECTIVES
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

 DATA SCIENCE

 CYBER SECURITY

 INTERNET OF THINGS

 OPEN ELECTIVES
Fuzzy Logic and its Applications Information Storage and Management Information Security Wireless Sensor Networks Soft Skills and

Interpersonal

Communication
Digital Image Processing Data Preprocessing and Analysis Cyber Security and Information Assurance Mobile Computing Human Resource

Development
Genetic Algorithm and its Applications Introduction to Data Science Cryptography and Network Security IOT Architecture and Protocols Cyber Law and Ethics
Computational Neuroscience  

Web Intelligence

 Audit and Risk Assessment Software Defined Networks Economic Policies in India
Artificial Neural Networks Machine Learning Mobile and Wireless Network Security Applications of IoT Introduction to Art and Aesthetics
Advanced Algorithms Business Intelligence and Analytics Malware Analysis Data Centric Networks Indian Music System
Statistical Machine Learning Artificial Neural Network Database Security IOT Security Data Analysis using Open Source Tool
Intelligent Machining High Performance Computing Cloud Security Embedded IoT IT Infrastructure Management
Deep Learning Big Data & Visualization Cyber Law Machine Learning Android Development
Robotics: Computational Motion Planning Statistical Computing Biometrics Network Programming IOS Development
Computer Vision Deep Learning Security Governance, Risk and Compliance Energy Management for IOT devices Mobile Application Development
Natural Language Processing Streaming Analytics Operation System Security Edge Computing Soft Computing

 

Note: On-line MOOC courses may contribute up to 20% of the credits, with in-house examination being conducted.

Syllabus Structure of Undergraduate B.Tech – 3rd Year
Computer Science & Engineering
[Artificial Intelligence& Machine Learning]
V Semester [Third Year]
  Course Particulars Credit Particulars Evaluation Scheme  
      Hours Per Week THEORY   PRACTICAL    

Total

Marks

  
 

Category

 Course

Code

 Course

Name

  

L

  

T

  

P

  

C

  

CIA

  

SEE

  

Total

  

CIA

  

SEE

  

Total

  

Credits
Professional Core Courses   Artificial Intelligence 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Compiler Design 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Internet of Things 3 0 2 4 70 30 100 35 15 50 150 4
Professional Core Courses   Data Mining and Data Warehousing 3 0 2 4 70 30 100 35 15 50 150 4
Professional Elective Courses   Fuzzy Logic and its Applications/ Digital Image Processing 3 0 0 3 70 30 100 – – – 100 3
Open Elective Courses   Android Development/ IOS Development 3 0 0 3 70 30 100 – – – 100 3
Project   Summer Industry Internship – – 2 1  

–

  

–

  

–

  

35

  

15

  

50

  

50

  

1

Total

 18 0 6 21

600

150

750

21
VI SEMESTER [THIRD YEAR]
  Course Particulars Credit Particulars Evaluation Scheme  
      Hours Per Week THEORY   PRACTICAL   Total Marks  
Category Course

Code

 Course

Name

 L T P C CIA SEE Total CIA SEE Total Credits
Professional Core Courses   Software Engineering 3 0 2 4 30 70 100 35 15 50 150 4
Professional Core Courses   Computer Graphics 3 0 0 3 30 70 100 – – – 100 3
Professional Core Courses   Microprocessors and Microcontrollers

 

 3 0 2 4 30 70 100 35 15 50 150  

4
Professional Elective Courses   Genetic Algorithm and its Applications /Computational Neuroscience 3 0 0 3 30 70 100 – – – 100  

3
Professional Elective Courses   Artificial Neural Networks/ Advanced Algorithms

 

 3 0 0 3 30 70 100 – – – 100  

3
Open Elective Courses   Data Analysis using Open Source Tool/Mobile Application Development 3 0 0 3 30 70 100 – – – 100  

3

Total

 18 0 4 20 600 100 700 20
Syllabus Structure of Undergraduate B.Tech – 3rd Year
Computer Science & Engineering
[Data Science]
V Semester [Third Year]
  Course Particulars Credit Particulars Evaluation Scheme  
              THEORY   PRACTICAL   Total

Marks

  
Category Course

Code

 Course

Name

 L T P C CIA SEE Total CIA SEE Total Credits
Professional Core Courses   Artificial Intelligence 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Compiler Design 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Internet of Things 3 0 2 4 70 30 100 35 15 50 150 4
Professional Core Courses   Data Mining and Data Warehousing 3 0 2 4 70 30 100 35 15 50 150 4
Professional Elective Courses   Information Storage and Management/ Data Preparation &Analysis 3 0 0 3 70 30 100 – – – 100 3
Open Elective Courses   Android Development/ IOS Development 3 0 0 3 70 30 100 – – – 100 3
Project   Summer Industry Internship – – 2 1  

–

  

–

  

–

 35 15 50 50 1
Total 18 0 6 21 600 150 750 21

 

VI SEMESTER [THIRD YEAR]
  Course Particulars Credit Particulars Evaluation Scheme  
              THEORY   PRACTICAL    

 

Total

Marks

  
 

Category

 Course

Code

 Course

Name

  

L

 T  

P

  

C

  

CIA

  

SEE

  

Total

  

CIA

  

SEE

  

Total

  

Credits
Professional Core Courses   Software Engineering 3 0 2 4 30 70 100 35 15 50 150 4
Professional Core Courses   Computer Graphics 3 0 0 3 30 70 100 – – – 100 3
Professional Core Courses   Microprocessors and Microcontrollers

 

 3 0 2 4 30 70 100 35 15 50 150 4
Professional Elective Courses   Introduction to Data Science/Web Intelligence 3 0 0 3 30 70 100 – – – 100  

3
Professional Elective Courses   Machine Learning/Business Intelligence & Analytics 3 0 0 3 30 70 100 – – – 100  

3
Open Elective Courses   Data Analysis using Open Source Tool/Mobile Application Development 3 0 0 3 30 70 100 – – – 100  

3
Total 18 0 4 20 600 100 700 20
Syllabus Structure of Undergraduate B.Tech – 3rd Year
Computer Science & Engineering
[Internet of Things]
V Semester [Third Year]
  Course Particulars Credit Particulars Evaluation Scheme  
      Hours Per Week

K

 

 THEORY   PRACTICAL   Total

Marks

  
Category Course

Code

 Course

Name

 L T P C CIA SEE Total CIA SEE Total Credits
Professional Core Courses   Artificial Intelligence 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Compiler Design 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Internet of Things 3 0 2 4 70 30 100 35 15 50 150 4
Professional Core Courses   Data Mining and Data Warehousing 3 0 2 4 70 30 100 35 15 50 150 4
Professional Elective Courses   Wireless Sensor Networks/ Mobile Computing 3 0 0 3 70 30 100 – – – 100 3
Open Elective Courses   Android Development/ IOS Development 3 0 0 3 70 30 100 – – – 100 3
Project   Summer Industry Internship – – 2 1  

–

  

–

  

–

  

35

  

15

  

50

  

50

  

1

Total

 18 0 6 21

600

150

750

21

 

VI SEMESTER [THIRD YEAR]
  Course Particulars Credit Particulars Evaluation Scheme  
      Hours per Week THEORY   PRACTICAL    

Total

Marks

  
Category Course

Code

 Course

Name

 L T  

P

 C CIA SEE Total CIA SEE Total Credits
Professional Core Courses   Software Engineering 3 0 2 4 30 70 100 35 15 50 150 4
Professional Core Courses   Computer Graphics 3 0 0 3 30 70 100 – – – 100  

3
Professional Core Courses   Microprocessors and Microcontrollers

 

 3 0 2 4 30 70 100 35 15 50 150  

4
Professional Elective Courses   IOT Architecture and Protocols/

Software Defined Networks

 3 0 0 3 30 70 100 – – – 100  

3
Professional Elective Courses   Applications of IOT/Data Centric Networks 3 0 0 3 30 70 100 – – – 100  

3
Open Elective Courses   Data Analysis using Open Source Tool/Mobile Application Development 3 0 0 3 30 70 100 – – – 100  

3

Total

 18 0 4 20 600 100 700 20

 

Syllabus Structure of Undergraduate B.Tech – 3rd Year
Computer Science & Engineering
[Cyber Security]
V Semester [Third Year]
Course Particulars Credit Particulars Evaluation Scheme
      Hours Per Week THEORY   PRACTICAL   Total

Marks

  
 

Category

 Course

Code

 Course

Name

  

L

  

T

  

P

  

C

  

CIA

  

SEE

  

Total

  

CIA

  

SEE

  

Total

  

Credits
Professional Core Courses   Artificial Intelligence 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Compiler Design 3 0 0 3 70 30 100 – – – 100 3
Professional Core Courses   Internet of Things 3 0 2 4 70 30 100 35 15 50 150 4
Professional Core Courses   Data Mining and Data Warehousing 3 0 2 4 70 30 100 35 15 50 150 4
Professional Elective Courses   Information Security/ Cyber Security and Information Assurance 3 0 0 3 70 30 100 – – – 100 3
Open Elective Courses   Android Development/ IOS Development 3 0 0 3 70 30 100 – – – 100 3
Project   Summer Industry Internship – – 2 1  

–

  

–

  

–

  

35

  

15

  

50

  

50

  

1
Total 18 0 6 21 600 150 750 21

 

VI SEMESTER [THIRD YEAR]
  Course Particulars Credit Particulars Evaluation Scheme  
      Hours Per Week THEORY   PRACTICAL   Total

Marks

  
Category Course

Code

 Course

Name

 L T P  

C

 CIA SEE Total CIA SEE Total Credits
Professional Core Courses   Software Engineering 3 0 2 4 30 70 100 35 15 50 150 4
Professional Core Courses   Computer Graphics 3 0 0 3 30 70 100 – – – 100  

3
Professional Core Courses   Microprocessors and Microcontrollers

 

 3 0 2 4 30 70 100 35 15 50 150  

4
Professional Elective Courses   Cryptography & Network Security/ Audit and Risk Assessment 3 0 0 3 30 70 100 – – – 100  

3
Professional Elective Courses   Mobile and Wireless Network Security/Malware Analysis 3 0 0 3 30 70 100 – – – 100  

3
Open Elective Courses   Data Analysis using Open Source Tool/Mobile Application Development 3 0 0 3 30 70 100 – – – 100  

3
Total 18 0 4 20 600 100 700 20
V Semester [Third Year]
Sl. No. Category CourseCode Course Title Hours per week Credits
L T P
1 Professional Core Courses   Artificial Intelligence 3 0 2 3
2 Professional Core Courses   Compiler Design 3 0 2 4
3 Professional Core Courses   Internet Of Things 3 0 2 3
4 Professional Core Courses   Data Mining & Data Warehousing 3 0 0 4
5 Professional Elective Courses   Professional Elective – 1 3 0 0 3
6 Open Elective Courses   Open Elective – 1 3 0 0 3
7 Project   Summer Industry Internship – – 2 1
      Total Credits: 18 0 8 21

 

Sl.No. Specialization Professional Elective – 1
 

1.

 Artificial Intelligence & Machine Learning Fuzzy logic and its applications
Digital Image Processing
2. Data Science Information Storage and Management
Data Preparation and Analysis
3. Cyber Security Information Security
Cyber Security and Information Assurance
4. Internet of Things Wireless Sensor Networks
Mobile Computing

 

VI Semester [Third Year]
Sl.No. Category Course Code Course Title Hours per week Credits
L T P
1 Professional Core Courses   Software Engineering 3 0 2 4
2 Professional Core Courses   Computer Graphics 3 0 0 3
3 Professional Core Courses   Microprocessors and Microcontrollers 3 0 0 4
4 Professional Elective Courses   Professional Elective – 2 3 0 0 3
5 Professional Elective Courses   Professional Elective – 3 3 0 0 3
6 Open Elective Courses   Open Elective – 2 3 0 0 3
      Total Credits: 18 0 2 20

 

Sl.No. Specialization Professional Elective – 2 Professional Elective – 3
1. Artificial Intelligence & Machine Learning Genetic Algorithm and its Applications Artificial Neural Networks
Computational Neuroscience Advanced Algorithms
2. Data Science Introduction to Data Science Machine Learning
Web Intelligence Business Intelligence and Analytics
3. Cyber Security Cryptography & Network Security Mobile and Wireless Network Security
Audit and Risk Assessment Malware Analysis
4. Internet of Things IOT Architecture and Protocols Applications of IOT
Software Defined Networks Data Centric Networks

 

VII Semester [Fourth Year]
Sl.No. Category Course Code Course Title Hours per week Credits
L T P
1 Professional Elective Courses   Professional Elective – 4 3 0 0 3
2 Professional Elective Courses   Professional Elective – 5 3 0 0 3
3 Open Elective Courses   Open Elective – 3 3 0 0 3
4 Humanities and Social Sciences including Management Courses   Entrepreneurship Development / Human Resource Management 2 1 0 3
5 Project   Summer Industry Internship – – 2 1
6 Project   Project Work-I 0 0 8 4
      Total Credits: 11 1 10 17

 

Sl.No. Specialization Professional Elective – 4 Professional Elective – 5
1. Artificial Intelligence & Machine Learning Statistical Machine Learning Deep Learning
Intelligent Machining Robotics: Computational Motion Planning
2. Data Science Artificial Neural Network Big data & Visualization
High Performance Computing Statistical Computing
3. Cyber Security Cloud Security Cyber Law
Database Security Biometrics
4. Internet of Things IOT Security Machine Learning
Embedded IOT Network Programming

 

VIII Semester [Fourth Year]
Sl.No. Category Course Code Course Title Hours per week Credits
L T P
1 Professional Elective Courses   Professional Elective – 6 3 0 0 3
2 Open Elective Courses   Open Elective – 4 3 0 0 3
3 Open Elective Courses   Open Elective – 5 3 0 0 3
4 Project   Project Work-II &Dissertation 0 0 16 8
      Total Credits: 9 0 16 17

 

Sl.No. Specialization Professional Elective – 6
1. Artificial Intelligence & Machine Learning Computer Vision
Natural Language Processing
2. Data Science Deep Learning
Streaming Analytics
3. Cyber Security Security Governance, Risk and Compliance
Operation System Security
4. Internet of Things Energy Management for IOT devices
Edge Computing

 

BUCKETS FOR PROFESSIONAL ELECTIVES AND OPEN ELECTIVES
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING DATA SCIENCE CYBER SECURITY INTERNET OF THINGS OPEN ELECTIVES
Fuzzy Logic and its Applications Information Storage and Management Information Security Wireless Sensor Networks Soft Skills and Interpersonal Communication
Digital Image Processing Data Preprocessing and Analysis Cyber Security and Information Assurance Mobile Computing Human Resource Development
Genetic Algorithm and its Applications Introduction to Data Science Cryptography and Network Security IOT Architecture and Protocols Cyber Law and Ethics
Computational Neuroscience Web Intelligence Audit and Risk Assessment Software Defined Networks Economic Policies in India
Artificial Neural Networks Machine Learning Mobile and Wireless Network Security Applications of IoT Introduction to Art and Aesthetics
Advanced Algorithms Business Intelligence and Analytics Malware Analysis Data Centric Networks Indian Music System
Statistical Machine Learning Artificial Neural Network Database Security IOT Security Data Analysis using Open Source Tool
Intelligent Machining High Performance Computing Cloud Security Embedded IoT IT Infrastructure Management
Deep Learning Big Data & Visualization Cyber Law Machine Learning Android Development
Robotics: Computational Motion Planning Statistical Computing Biometrics Network Programming IOS Development
Computer Vision Deep Learning Security Governance, Risk and Compliance Energy Management for IOT devices Mobile Application Development
Natural Language Processing Streaming Analytics Operation System Security Edge Computing Soft Computing
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