Email: admissions@sreenidhiuniversity.edu.in

Yamnampet, Ghatkesar Hyderabad - 501 301

CSE - Data Science

Course structure of B Tech CSE- Data Science
I Year I Semester

Sl.No.

Dept Course

Coure Code

                             Course

L

T

P/D

C

Max. Marks

CIE

SEE

1

S&H

8HC04

Engineering Chemistry

4

0

0

4

30

70

2

IT

8FC01

Problem Solving using C

3

0

0

3

30

70

3

S&H

8HC10

Linear Algebra and Calculus

2

1

0

3

30

70

4

ME

8BC01

Workshop/Manufacturing Processes

1

0

0

1

30

70

5

S&H

8HC01

Oral Communication Skills

1

0

0

1

30

70

6

S&H

8HC08

Basic Mathematics, Analysis and Reasoning

2

1

0

3

30

70

7

S&H

8HC64

Engineering Chemistry Lab

0

0

2

1

30

70

8

IT

8FC61

Problem Solving using C Lab

0

0

2

1

30

70

9

ME

8BC61

Workshop/Manufacturing Processes Lab

0

0

2

1

30

70

10

S&H

8HC61

Oral Communication Skills Lab

0

0

2

1

30

70

11

CSE

8E176

Comprehensive Test and Viva –Voce – I(2 Mids(Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

12

CSE

8E184

Technical Seminar – I

0

0

2

1

100

13

S&H

8HC18

Orientation Course*

1

0

0

0

Marks and Grade will be given at the end of I year II semester.

   

Total :

15

2

10

21

430

770

(a) Orientation Course for B. Tech I year I semester Students take place for 3weeks duration covering the first Two Units.

(b) Orientation Course for B.Tech I year II semester Students take place for covering the remaining Four Units (Units III,IV,V, and VI).

B. Tech. CSE- Data Science
I Year II Semester

Sl.
No.

Dept Course

Course Code

                         Course

L

T

P/D

C

Max. Marks

CIE

SEE

1

S&H

8HC07

Engineering Physics

3

1

0

4

30

70

2

CSE

8EC01

Data Structures and C++

3

0

0

3

30

70

3

S&H

8HC13

Differential Calculus and Numerical Methods

2

1

0

3

30

70

4

S&H

8BC02

Engineering Graphics

1

0

4

3

30

70

5

S&H

8HC02

Written Communication Skills

1

0

0

1

30

70

6

IT

8FC02

Python Programming

2

1

0

3

30

70

7

IT

8F262

IT Workshop and Python Programming Lab

0

0

4

2

30

70

8

S&H

8HC66

Engineering Physics Lab

0

0

2

1

30

70

9

CSE

8EC61

Data Structures (C/C++) Lab

0

0

2

1

30

70

10

S&H

8HC62

Written Communication Skills Lab

0

0

2

1

30

70

11

CSE

8E277

Comprehensive Test and Viva –Voce – II(2 Mids(Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

12

CSE

8E285

Technical Seminar – II

0

0

2

1

100

13

S&H

8HC18

Orientation Course*

2

0

0

0

30

70

    

Grade Evaluation

   

Total :

15

3

16

24

460

840

(a) Orientation Course for B. Tech I year I semester Students take place for 3weeks duration covering the first Two Units.

(b) Orientation Course for B.Tech I year II semester Students take place for covering the remaining Four Units (Units III,IV,V, and VI).

B. Tech. CSE- Data Science
II Year I Semester

Sl. No.

Dept Course

Course code

                                     Course

L

T

P/D

C

Max. Marks

CIE

SEE

  1.  

S&H

 

Probability & Statistics

2

1

0

3

30

70

  1.  

EEE and ECE

 

Elements of Electrical and Electronics Engineering

2

0

0

2

30

70

  1.  

CSE

 

Object Oriented Programming through Java

2

1

0

3

30

70

  1.  

IT

 

Discrete Mathematics

2

0

0

2

30

70

  1.  

ECE

 

Computer Organization

2

0

0

2

30

70

  1.  

CSE

 

Advanced Data Structures

2

0

0

2

30

70

  1.  

S&H

 

Block Chain

2

0

0

2

30

70

  1.  
  

IoT

2

0

0

2

30

70

  1.  

CSE

 

Object oriented programming through Java Lab

0

0

2

1

30

70

  1.  

CSE& ECE

 

Advanced Data Structures  Lab and Computer Organization Lab

0

0

2

1

30

70

  1.  

EEE and ECE

 

Elements of Electrical and Electronics Engineering Lab

0

0

2

1

30

70

  1.  

CSE

 

Comprehensive Test and Viva-voce – III

1

0

0

1

30

70

  1.  

CSE

 

Technical Seminar – III

0

0

2

1

100

0

  

 

Total :

17

2

8

23

460

840

B. Tech. CSE- Data Science
II Year II Semester

Sl. No.

Dept Course

Course code

                                            Course

L

T

P/D

C

Max. Marks

CIE

SEE

1

CSE

 

Introduction to Data Science

2

0

0

2

30

70

2

CSE

 

Data Communications and Computer Networks

3

0

0

3

30

70

3

CSE

 

Database Management Systems

2

1

0

3

30

70

4

IT

 

Software Engineering and Software Testing

3

0

0

3

30

70

5

ECE

 

Switching Theory and Logic Design

2

1

0

3

30

70

6

MBA

 

Cyber Security and Cyber Laws

2

0

0

2

30

70

7

S&H

 

Artificial Intelligence

2

0

0

2

30

70

8

CSE

 

Database Management Systems Lab

0

0

2

1

30

70

9

IT

 

Computer Aided Software Engineering (CASE) Tools and Testing Tools Lab

0

0

2

1

30

70

10

IT

 

R Programming Lab and Computer Networks Lab

0

0

2

1

30

70

11

CSE

 

Comprehensive Test and Viva –Voce – IV (2 Mids (Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

12

CSE

 

Technical Seminar – IV

0

0

2

1

100

0

   

Total

17

2

8

23

430

770

* The Projects seminars (Abstract Seminar, Design Seminar/ Implementation Seminar / Final Seminar) quality needs to be enhanced.
* Summer Break Internship Evaluation to be completed in First week class work time of III B Tech I Sem.

B. Tech. CSE (DS)
III Year I Semester

 

Sl. No

 

Dept Course

 

Course Code

 

Course

 

L

 

T

 

P/D

 

C

Max. Marks

CIE

SEE

  1.  
  

Open Elective-I

2

0

0

2

30

70

        2.

CSE

 

Professional Elective – I

3

0

0

3

30

70

        3. 

IT

8FC06

Automata Theory and Compiler Design

2

0

0

2

30

70

       4.
  

Advanced AI & ML

3

0

0

3

30

70

       5.

CSE

8EC04

Universal Human Values

2

0

0

2

30

70

       6.

CSE

8EC06

Operating Systems

2

1

0

3

30

70

       7.
  

Design and Analysis of Algorithms

2

1

0

3

30

70

       8.

CSE

8EC64

AI & ML, & Designs and Analysis of Algorisms  Lab

0

0

2

1

30

70

       9.

CSE

8EC65

Compiler Design Lab,  and Operating Systems Lab

0

0

2

1

30

70

       10.
  

Comprehensive Test and Viva-Voce

1

0

0

1

30

70

        11.

 

CSE

 

8E491

Evaluation of Summer Break

– Internship-I (2 Internal Reviews and External Evaluation)

 

0

 

0

 

0

 

1

 

30

 

70

   

Total :

17

2

4

22

330

770

B.Tech. CSE (DS)
III Year II Semester

 

Sl. No

 

Dept Course

 

Course Code

 

Course

 

L

 

T

 

P/D

 

C

Max. Marks

CIE

SEE

  1.  
  

Open Elective – II

2

0

0

2

30

70

        2.

CSE

 

Professional Elective – II

3

0

0

3

30

70

       3.

IT

8FC07

Web Data Mining

2

0

0

2

30

70

      4.

CSE

 

Cloud Computing

2

1

0

3

30

70

      5.
  

Soft skills

1

0

2

2

30

70

      6.

IT

8FC08

Computational Data analytics

2

1

0

3

30

70

      7.

BT

8GC49

Intellectual Property Rights

1

0

0

1

30

70

      8.
  

Analysing, Visualizing   and   Applying data science with python

2

0

2

2

30

70

      9.

IT

8FC66

Computational Data analytics Lab & Web Data Mining Lab

0

0

2

1

30

70

      10.

CSE

8EC66

Cloud Computing Lab & Operating Systems Lab

0

0

2

1

30

70

      11.
  

Analysing, Visualizing   and   Applying data science with Python Lab

0

0

2

1

30

70

      12.
  

Comprehensive Test and Viva-Voce

1

0

0

1

30

70

      13.

CSE

8E694

Group Project – I

0

0

2

1

30

70

   

Total :

16

2

12

23

360

840

B.Tech. CSE (DS)
IV Year I Semester

 

Sl. No

 

Dept Course

 

Course Code

 

Course

 

L

 

T

 

P/D

 

C

Max. Marks

CIE

SEE

  1.  

CSE

 

Professional Elective – III

3

0

0

3

30

70

       2.

CSE

 

Professional Elective-IV

3

0

0

3

30

70

       3.

IT

 

Predictive Analytics

2

1

0

3

30

70

       4.
  

Environmental Science and Ecology

2

0

0

2

30

70

       5.

CSE

8EC08

Applications of Data Science

2

0

0

2

30

70

       6.

IT

8F710

Social, Web & Mobile Analytics

3

0

0

3

30

70

       7.
  

Economics, Accountancy and Management Science

2

0

0

2

30

70

       8.

IT

 

Predictive Analytics Lab,

0

0

2

1

30

70

       9.

IT

8FC68

Social, Web & Mobile Analytics Lab

0

0

2

1

30

70

       10.

CSE

8E784

Project Phase-I Lab

0

0

2

1

30

70

       11.

 

 

CSE

 

 

8E782

Comprehensive Test and Viva Voce – VII (2 Mids) (Viva) and End Semester(Test and Viva) = 30+70)

 

 

0

 

 

0

 

 

0

 

 

1

 

 

30

70

       12.

 

CSE

 

8E692

Evaluation of Summer Break- Internship-I (2 Internal Reviews and External Evaluation)

 

0

 

0

 

0

 

1

 

30

 

70

   

Total :

17

1

6

23

360

840

B.Tech. CSE (DS)
IV Year II Semester

 Sl. No

Dept Course

Course Code

                                           Course

 

L

 

T

 

P/ D

 

C

Max. Marks

CIE

SEE

1

  

Open Elective- III

2

0

0

2

30

70

2

CSE

 

Professional Elective – V

3

0

0

3

30

70

3

CSE

8E896

Major Project

10

5

30

70

   

Total :

5

0

10

10

90

210

Note :

All End Examinations (Theory and Practical) are of Three hours duration.

T – Tutorial L – Theory P/D – Practical/Drawing
C- Credits Int.- Internal Exam Ext.-External Exam

Course code Definitions

BS-Basic Science Courses
ES-Engineering Science Courses
HS-Humanities and Social Sciences including Management courses
PC-CSE Professional core courses
PE-CSE Professional Elective courses
OE-CSE Open Elective courses

CIE: Continuous Internal Evaluation
SEE: Semester End Evaluation
PS – Summer Industry Internship, Projects, Comprehensive Viva Voce, Technical Seminars.

Professional Electives

Professional Elective Streams

Professional Elective (PE)

Code

PE– I (3-1)

Code

PE – II (3-2)

Code

PE – III (4-1)

Code

PE – IV (4-1)

Cod e

PE – V (4-2)

 

Artificial Intelligence and Machine Learning

 

 

AIML-01

Introduction to AI & Machine Learning

 

 

AIML-02

Introduction to Data Analytics

 

AIML-03

Deep Learning and Neural Network

 

 

AIML-04

Special topics in Artificial Intelligence

 

 

AIML-05

Applications of AI

Cybersecurity

CBS-01

Information Theory for Cyber Security

CBS-02

Data Encryption

CBS-03

Steganography                            and                            Digital

Watermarking

CBS-04

Security Assessment and Risk Analysis

CBS-05

Database Security and Access Control

Blockchain

BLC-01

Fundamentals of Blockchain

BLC-02

Smart Contracts and Solidity

BLC-03

Blockchain Platforms and Use cases

BLC-04

Blockchain Security and Performance

BLC-05

Blockchain and FinTech

IoT

IoT-01

Introduction to Internet of Things

IoT-02

Introduction                    to                    Security                    of                    Cyber-

Physical Systems

IoT-03

Ubiquitous sensing, computing, and communications                            Sensing,                            Computing                            and Communication                            Sensing,                            Computing                            and Communication

IoT-04

Embedded Systems for IoT

IoT-05

IoT with Arduino, ESP, and Raspberry Pi

Note : 

The students who have chosen B.Tech CSE course in Data Science will have to take the professional electives PE1 to PE5 mentioned in the last row only. In the light of this the 3rd row mentioned above must be removed. There is one more slot available for the data science stream as introduction to AI & ML is already introduced in this stream (other than in PEs). In the light of this we may introduce a subject. Either in Blockchain or Robotics or Quantum Computing or Virtual Reality may be taken i.e., replace the subject of AI & ML proposed in II/II by any one of above 4 subjects. The syllabus is available in the AICTE website under AICTE model curriculum of courses at UG level in emerging areas (Enclosed).

Open Electives

 

Open Elective Streams

Open Elective (OE)

 

Code

 

OE – I (3-1)

 

Code

 

OE – II (3-2)

 

Code

 

OE – III (4-2)

Entrepreneurship  Stream

 

8ZC22

Basics of         Entrepreneu rship

 

8ZC23

Advanced Entrepreneur ship

 

8ZC24

Product and Services

Social Sciences Stream

 

8ZC25

Basics of Indian Economy

 

8ZC26

Basics of Polity and Ecology

 

8ZC27

Indian History, Culture and Geography.

 

 

Finance Stream

 

 

 

8ZC05

Banking Operations, Insurance and Risk Management

 

 

 

8ZC19

Entrepreneur ship Project Management and  Structured Finance

 

 

 

8ZC15

 

Financial Institutions, Markets and Services

Mechanical

 

8BC51

Smart Materials

 

8BC53

Principles of Operations Research

 

8BC52

Principals of Manufacturing Processes

 

 

 

Electrical

 

 

 

8AC46

 

Control System Engineering

 

 

 

8AC44

Fundamental s of   Measurement s and Instrumentation

 

 

 

8AC45

 

Fundamentals of Renewable Energy Sources

Electronics

 

8DC52

Embedded Systems

 

8DC53

Introduction To VLSI

Design

 

8CC44

Electronics Circuit Design and Analysis

Innovation and Design Thinking

Design Literacy and Design Thinking

Co-Creation and Product Design

Entrepreneurs hip & Business Design