GANDHI INSTITUTE OF ENGINEERING AND TECHNOLOGY UNIVERSITY, ODISHA, GUNUPUR
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B. Tech in Computer Science & 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
FIRST YEAR ODD SEMESTER (1st Semester)
Sl. No. Course Category Course Code Type Course Title Hours of Week Credit CIA ESE
L T P
1 BS 23BBSBS11001 M Engineering Mathematics -I 3 1 0 4 40 60
2 ES 23BBSES11003 M Programming for Problem Solving 3 0 4 5 40 60
3 HS 23BBSHS11001 M Communicative English and Soft Skills 2 0 2 3 40 60
4 BS G1 Enginnering Chemistry 1 0 4 3 100#
5 ES 23BBSES10002 Elements of Mechanical Engineering 3 1 0 4 40 60
6 ES 23BBSES10004 Dietetics and Nutrition 1 0 0 1 100#
7 ES 23BBSES10105 Engineering Graphics and Design 1 0 2 2 60 40
8 BS 23BBSBS10002 G2 Engineering Physics 3 0 0 3 40 60
9 ES 23BBSES10001 Basic Electrical and Electronics Engineering 3 0 2 4 40 60
10 MC 23BBSHS11002 Human Value and Professional Ethics 1 0 0 1 100#
11 ES 23BBSES10106 Engineering Workshop 1 0 2 2 60 40
12 MC 23BBSMC11101 M Induction Program(3 Weeks) 0 0 0 0 0 0
TOTAL CREDIT 22
FIRST YEAR EVEN SEMESTER (2nd Semester)
1 BS 23BBSBS12001 M Engineering Mathematics -II 3 1 0 4 40 60
2 ES 23BBSES12003 M Data Structure and Algorithm 3 0 4 5 40 60
3 HS 23BBSHS12001 M Communicative English and Technical Communication 2 0 2 3 40 60
4 BS 23BBSBS10002 G2 Engineering Physics 3 0 0 3 40 60
5 ES 23BBSES10001 Basic Electrical and Electronics Engineering 3 0 2 4 40 60
6 MC 23BBSHS11002 Human Value and Professional Ethics 1 0 0 1 100#
7 ES 23BBSES10106 Engineering Workshop 1 0 2 2 60 30
8 BS G1 Enginnering Chemistry 1 0 4 3 40 60
9 ES 23BBSES10002 Elements of Mechanical Engineering 3 1 0 4 40 60
10 ES 23BBSES10004 Dietetics and Nutrition 1 0 0 1 100#
11 ES 23BBSES10105 Engineering Graphics and Design 1 0 2 2 60 40
12 MC 23BBSMC12201 M NSS / YOGA 0 0 0 0 0 0
TOTAL CREDIT 22
III Semester [Second Year]
B. Tech in Computer Science and Engineering  (2023 Admission)
SN CC   Sub Code Name of the Subject  L T P C ISA ESA
THEORY
1 BS 23BCSBS23001 Discrete Mathematics 3 1 0 4 40 60
2 ES 23BCSES23001 Digital Electronics Circuits 3 0 0 3 40 60
3 PC 23BCSPC23001 Database Management Systems 3 0 0 3 40 60
4 PC 23BCSPC23002 Object Oriented Programming through Java 3 0 0 3 40 60
5 PE 23BCSPE23001 PE-I (From Bucket) 3 0 0 3 40 60
6 HS 23BBSHS23001 Intermediate communication skills and critical thinking 1 0 0 1
TOTAL 16 1 0 17 200 300
PRACTICAL/SESSIONAL
7 ES 23BCSES23101 Digital Electronics Circuits  Lab 0 0 2 1 30 20
8 PC 23BCSPC23102 Object Oriented Programming through Java Lab 0 0 2 1 30 20
9 PC 23BCSPC23101 Data Base Management Systems Lab 0 0 2 1 30 20
10 HS 23BBSHS23101 Intermediate communication skills and critical thinking lab 0 0 2 1 30 20
11 PST 23BCSPW23101 Summer  Internship-I 0 0 0 1 30 20
12 MC 23BCSLP23101 Learning Project-I 0 0 0 1 50 0
TOTAL 0 0 8 6 200 100
TOTAL 16 1 8 23 400 400
Professional Elective Bucket
Sl. Sem Professional Elective I
1 23BCDPC23011 Introduction to Data Science
2 23BCDPC23012 Data Preparation and Analysis
IV Semester [Second Year]
B. Tech in Computer Science and Engineering  (2023 Admission)
SN CC   Sub Code Name of the Subject  L T P C ISA ESA
THEORY
1 PC 23BCSPC24001 Fundamentals of Python Programming 3 0 0 3 40 60
2 PC 23BCSPC24002 Computer Organization & Architecture 3 0 0 3 40 60
3 PC 23BCSPC24003 Design and Analysis of Algorithms 3 0 0 3 40 60
4 PC 23BCSPC24004 Operating System 3 0 0 3 40 60
5 PE 23BCSPE24001 PE-II (From Bucket) 3 0 0 3 40 60
6 HS 23BBSHS24001 English Learning -II (Advance communication skills and professional Ethics) 1 0 0 1
TOTAL 16 0 0 16 200 300
PRACTICAL/SESSIONAL
7 PC 23BCSPC24101 Fundamentals of Python Programming Lab 0 0 2 1 30 20
8 PC 23BCSPC24103 Design and Analysis of Algorithms Lab 0 0 2 1 30 20
9 PC 23BCSPC24105 Unix and Shell Programming Laboratory 0 0 2 1 30 20
10 HS 23BBSHS24101 English Learning -II (Advance communication skills and professional Ethics lab) 0 0 0 1 30 20
11 PST 23BCSLP24101 Learning Project-II 0 0 0 1 50 0
TOTAL 0 0 6 5 170 80
TOTAL 16 0 6 21 370 380
Professional Elective Bucket
Sl. Sem Professional Elective II
1 23BCDPE24011 Introduction to Soft Computing
2 23BCDPE24012 Fuzzy Logic & Applications
V Semester [Third Year]
B. Tech in Computer Science and Engineering  (2023 Admission)
SN CC   Sub Code Name of the Subject  L T P C ISA ESA
THEORY
1 HS 23BHSHS30002 Engineering Economics and Costing/ Optimization Engineering 2 0 0 2 40 60
2 PC 23BCSPC35002 Data Communication and Computer Networks 3 0 0 3 40 60
3 PC 23BCSPC35001 Data Mining and Data Warehousing 3 0 0 3 40 60
4 PE 23BCSPE35011 Professional Elective-III (From Bucket) 3 0 0 3 40 60
5 PC 23BCSPC35003 Theory of Computation 3 0 0 3 40 60
6 OE 23BCSOE35013 Open Elective-I (From Bucket) 3 0 0 3 40 60
TOTAL 17 0 0 17 240 360
PRACTICAL/SESSIONAL
7 PC 23BCSPC35102 Data Communication and Computer Networks Lab 0 0 2 1 30 20
8 PC 23BCSPC35101 Data Mining and Data Warehousing Lab 0 0 2 1 30 20
9 PST 23BCSPC35103 Minor Project -I 0 0 4 2 50 50
10 PST 23BCSPW35101 Summer  Internship-II 0 0 1 1 0 50
11 MC Constitution of India 0 0 0 0 #100
TOTAL 0 0 9 5 110 140
TOTAL 17 0 9 22 350 500
Professional Elective Bucket
Sl. No. Sem Professional Elective III
1 V Cloud Computing
2 Edge Computing
3 Cloud Security
BUCKETS FOR OPEN ELECTIVES
Sl. No. Sem  Open Elective I
1 V Advanced Java
2 Web Technology
3 Full Stack Development
          # Assignment Based Assessment
VI Semester [Third Year]
B. Tech in Computer Science and Engineering  (2023 Admission)
SN CC   Sub Code Name of the Subject  L T P C ISA ESA
THEORY
1 HS 23BHSHS36001 Engineering Economics and Costing/ Optimization Engineering 2 0 0 2 30 70
2 PC 23BCSPC36002 Introduction to Machine Learning 3 0 0 3 30 70
3 PC 23BCSPC36003 Microprocessors and Microcontroller 3 0 0 3 30 70
4 PE 23BCSPE36011 Professional Elective-IV (From Bucket) 3 0 0 3 30 70
5 PC 23BCSPC36001 Introduction to Internet of Things 3 0 0 3 30 70
6 OE 23BCSOE36011 Open Elective-II (From Bucket) 3 0 0 3 30 70
TOTAL 17 0 0 17 180 420
PRACTICAL/SESSIONAL
7 PC Introduction to Internet of Things Lab 0 0 2 1 30 20
8 PC Microprocessors and Microcontrollers Lab 0 0 2 1 30 20
9 PST Minor Project Work-II 0 0 4 2 50 50
10 MC Essence of Indian Knowledge Tradition 0 0 0 0 #100
TOTAL 0 0 8 4 110 90
TOTAL 17 0 8 21 290 510
Professional Elective Bucket
Sl. No. Sem Professional Elective IV
1 VI Ethical Software Engineering
2 Pattern Recognition
3 Digital Image Processing
BUCKETS FOR OPEN ELECTIVES
Sl. No. Sem Open Elective II
1 VI Android Application Development using Kotlin
2 Mobile Computing
3 IOS Development
              # Assignment Based Assessment
VII Semester [Fourth Year]
B. Tech in Computer Science and Engineering  (2023 Admission)
SN CC   Sub Code Name of the Subject  L T P C ISA ESA
THEORY
1 PC Computer Graphics 3 0 0 3 40 60
2 PC Compiler Design 3 0 0 3 40 60
3 PE Professional Elective-V (From Bucket) 3 0 0 3 40 60
4 HS Entrepreneurship Development 3 0 0 3 40 60
5 OE Open Elective-III (From Bucket) 3 0 0 3 40 60
TOTAL 15 0 0 15 200 300
PRACTICAL/SESSIONAL
5 PC Advanced Programming Laboratory 0 0 2 1 70 30
5 PST Major Project Work-I 0 0 6 3 50 50
6 PST Summer Industry Internship-III 0 0 0 1 0 50
TOTAL 0 0 8 5 120 80
TOTAL 15 0 8 20 320 380
BUCKETS FOR PROFESSIONAL ELECTIVES
Sl. No. Semester  Professional Elective V
1 VII Cryptography and Network Security
2 Information Security
3 Database Security
BUCKETS FOR OPEN  ELECTIVES
Sl. No. Semester  Open Elective III
1 VII Data Analytics
2 Computer Vision
3 Intrusion Detection
VIII Semester [Fourth Year]
B. Tech in Computer Science and Engineering  (2023 Admission)
SN CC   Sub Code Name of the Subject  L T P C ISA ESA
THEORY
1 PE Professional Elective-VI (From Bucket) 3 0 0 3 40 60
2 OE Open Elective-IV (From Bucket) 3 0 0 3 40 60
3 OE Open Elective-V (From Bucket) 3 0 0 3 40 60
TOTAL 9 0 0 9 120 180
PRACTICAL/SESSIONAL
4 PST Technical Seminar 0 0 2 1 0 50
5 PST Major Project Work-II 0 0 6 3 50 50
TOTAL 0 0 8 4 50 100
TOTAL 9 0 8 13 170 280
BUCKETS FOR PROFESSIONAL ELECTIVES
Sl. No. Semester  Professional Elective VI
1 VIII Block Chain Technology
2 Malware Analysis
3 Cyber Law
BUCKETS FOR OPEN  ELECTIVES
Sl. No. Semester  Open Elective IV & V
1 VIII Real Time Systems
2 Embedded Systems
3 E-Commerce & ERP
4 Cyber Security
5 Digital Forensics
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

  

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P

  

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Total

  

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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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