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ANNA UNIVERSITY, CHENNAI
UNIVERSITY DEPARTMENTS
REGULATIONS 2019
CHOICE BASED CREDIT SYSTEM
B.TECH. INFORMATION TECHNOLOGY
DEPARTMENT OF INFORMATION SCIENCE AND TECHNOLOGY
VISION OF THE DEPARTMENT:
The Department of Information Science and Technology pledges to educate students with
conceptual knowledge and technical skills to forge ahead in the field of IT, while inculcating
deep moral and ethical values to achieve excellence, by providing a vibrant academic
and research environment in collaboration with industry.
MISSION OF THE DEPARTMENT:
1. To inculcate in students a firm foundation in theory and practice of IT skills
coupled with the thought process for disruptive innovation and research
methodologies, to keep pace with emerging technologies.
2. To provide a conducive environment for all academic, administrative and
interdisciplinary research activities using state-of-the-art technologies.
3. To produce graduates and doctorates, who will enter the workforce as
productive IT engineers, researchers and entrepreneurs with necessary soft
skills, and continue higher professional education with competence in the
global market.
4. To enable seamless collaboration with the IT industry and Government for
consultancy and sponsored research.
5. To cater to cross-cultural, multinational and demographic diversity of students.
6. To educate the students on the social, ethical, and moral values needed to make
significant contributions to society.
1. PROGRAMME EDUCATIONAL OBJECTIVES (PEOs):
I. Demonstrate core competence in basic engineering and mathematics to
design, formulate, analyze, and solve hardware/software engineering
problems.
II. Develop insights in foundational areas of Information Technology and related
engineering to address real-world problems using digital and cognitive
technologies.
III. Collaborate with industry, academic and research institutions for state-of-the-
art product development and research.
IV. Inculcate a high degree of professionalism, effective communication skills and
team spirit to work on multidisciplinary projects in diverse environments.
V. Practice high ethical values and technical standards.
2. PROGRAMME OUTCOMES (POs):
After going through the four years of study, our Information Technology Graduates
will exhibit ability to:
PO#
Graduate Attribute
Programme Outcome
1
Engineering knowledge
Apply knowledge of mathematics, basic science
and engineering science.
2
Problem analysis
Identify, formulate and solve engineering
problems.
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ANNA UNIVERSITY, CHENNAI

UNIVERSITY DEPARTMENTS

REGULATIONS – 2019

CHOICE BASED CREDIT SYSTEM

B.TECH. INFORMATION TECHNOLOGY

DEPARTMENT OF INFORMATION SCIENCE AND TECHNOLOGY

VISION OF THE DEPARTMENT:

The Department of Information Science and Technology pledges to educate students with conceptual knowledge and technical skills to forge ahead in the field of IT, while inculcating deep moral and ethical values to achieve excellence, by providing a vibrant academic and research environment in collaboration with industry.

MISSION OF THE DEPARTMENT:

  1. To inculcate in students a firm foundation in theory and practice of IT skills coupled with the thought process for disruptive innovation and research methodologies, to keep pace with emerging technologies.
  2. To provide a conducive environment for all academic, administrative and interdisciplinary research activities using state-of-the-art technologies.
  3. To produce graduates and doctorates, who will enter the workforce as productive IT engineers, researchers and entrepreneurs with necessary soft skills, and continue higher professional education with competence in the global market.
  4. To enable seamless collaboration with the IT industry and Government for consultancy and sponsored research.
  5. To cater to cross-cultural, multinational and demographic diversity of students.
  6. To educate the students on the social, ethical, and moral values needed to make significant contributions to society. 1. PROGRAMME EDUCATIONAL OBJECTIVES (PEOs): I. Demonstrate core competence in basic engineering and mathematics to design, formulate, analyze, and solve hardware/software engineering problems. II. Develop insights in foundational areas of Information Technology and related engineering to address real-world problems using digital and cognitive technologies. III. Collaborate with industry, academic and research institutions for state-of-the- art product development and research. IV. Inculcate a high degree of professionalism, effective communication skills and team spirit to work on multidisciplinary projects in diverse environments. V. Practice high ethical values and technical standards. 2. PROGRAMME OUTCOMES (POs): After going through the four years of study, our Information Technology Graduates will exhibit ability to:

PO# Graduate Attribute Programme Outcome

1 Engineering knowledge

Apply knowledge of mathematics, basic science and engineering science.

2 Problem analysis Identify, formulate and solve engineering problems.

3 Design/development of solutions Design a system or process to improve its performance, satisfying its constraints.

Conduct investigations of complex problems

Conduct experiments & collect, analyze and interpret the data.

5 Modern tool usage Apply various tools and techniques to efficiency of the system.^ improve the

6 The Engineer and society

Conduct themselves to uphold the professional and social obligations.

7 Environment and sustainability Design the system with environment consciousness and sustainable development.

8 Ethics Interact in industry, business and society in a professional and ethical manner.

9 Individual and team work Function in a multidisciplinary team.

10 Communication Proficiency in oral and written communication.

11 Project management and finance Implement cost effective and improved system.

12 Life-long learning Continue professional development and learning as a life-long activity.

3. PROGRAM SPECIFIC OUTCOMES (PSOs): I. Ability to apply programming principles and practices for the design of software solutions in an internet-enabled world of business and social activities. II. Ability to identify the resources to build and manage the IT infrastructure using the current technologies in order to solve real world problems with an understanding of the tradeoffs involved in the design choices. III. Ability to plan, design and execute projects for the development of intelligent systems with a focus on the future. 4. PEO / PO Mapping:

PROGRAMME

EDUCATIONAL

OBJECTIVES

PROGRAMME OUTCOMES

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO

I ^ ^ ^ ^ ^ 

II ^ ^ ^ ^ ^ 

III ^ ^ ^ ^ ^ ^ 

IV        

V     

Programming and Data Structures

Database Management Systems

Software Engineering

Philosophy

Programming and Data Structures Laboratory

Database Management Systems Laboratory

Semester 4

Film Appreciation Environmental Sciences

Audit Course I

Object Oriented Programming and Advanced Data Structures

Design and Analysis of Algorithms

Operating Systems

Computer Architecture ^ ^ ^ ^ ^ ^  Operating Systems Laboratory

Advanced Data Structures Laboratory

YEAR 1

Semester 5

Audit Course II

Compiler Engineering

Computer Networks

Web Technologies ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ 

Professional Elective I Ethics and Holistic Life Computer Networks Laboratory

Web Technologies Laboratory

Summer Internship / Summer Project (Minimum 4 Weeks)

Semester 6

Embedded Systems and Internet of Things

Data Science and Analytics ^ ^ ^ ^ ^ ^  Distributed and Cloud Computing

Professional Elective II Professional Elective III Open Elective I Embedded Systems and Internet of Things Laboratory

Data Analytics and Cloud Computing Laboratory

Socially Relevant Project Laboratory

YEAR 2

Semester 7

Artificial Intelligence

Mobile Computing

Cryptography and Security

ANNA UNIVERSITY, CHENNAI

UNIVERSITY DEPARTMENTS

B.TECH. INFORMATION TECHNOLOGY

REGULATIONS – 2019

CHOICE BASED CREDIT SYSTEM

CURRICULA AND SYLLABI FOR I - VIII SEMESTER

SEMESTER I

S.

NO.

CODE

NO. COURSE TITLE^ CATEGORY

PERIODS

PER WEEK

TOTAL

CONTACT

PERIODS

CREDITS

L T P

THEORY

1 HS 5151 Technical English HSMC 4 0 0 4 4

2 MA 5158 Engineering Mathematics I

BSC 3 1 0 4 4

3 PH 5151 Engineering Physics BSC 3 0 0 3 3 4 CY 5151 Engineering Chemistry BSC 3 0 0 3 3

5 GE 5153 Problem Solving and Python Programming ESC 3 0 0 3 3

PRACTICALS

6 BS 5161 Basic Sciences Laboratory BSC 0 0 4 4 2

GE 5161 Problem Solving and Python Programming Laboratory

ESC 0 0 4 4 2

TOTAL 16 1 8 25 21

SEMESTER II

S.

NO.

CODE

NO.

COURSE TITLE CATEGORY

PERIODS

PER WEEK

TOTAL

CONTACT

PERIODS

CREDITS

L T P

THEORY

1 HS 5251 Professional Communication

HSMC 4 0 0 4 4

2 MA 5252 Engineering Mathematics II

BSC 3 1 0 4 4

3 IT 5201 Information Technology Essentials ESC 3 0 0 3 3

4 EE 5251 Basics of Electrical and Electronics Engineering

ESC 3 0 0 3 3

5 GE 5151 Engineering Graphics ESC 1 0 4 5 3

PRACTICALS

6 IT 5211 Information Technology Essentials Laboratory

ESC 0 0 4 4 2

7 EE 5261 Electrical and Electronics Engineering Laboratory

ESC 0 0 4 4 2

TOTAL 14 1 12 27 21

SEMESTER III

S.

NO.

CODE

NO. COURSE TITLE^ CATEGORY

PERIODS

PER WEEK

TOTAL

CONTACT

PERIODS

CREDITS

L T P

THEORY

1 MA 5302 Discrete Mathematics BSC 3 1 0 4 4

2 IT 5301

Digital Logic and Design ESC^2 0 2 4

3 IT

Programming and Data Structures PCC^3 0 0 3

4

IT5351 Database Management Systems PCC^3 0 0 3 5 IT5302^ Software Engineering PCC 3 0 0 3 3

6 HM5302 Philosophy HSMC 3 0 0 3 3

PRACTICALS

6 IT 5311

Programming and Data Structures Laboratory PCC^0 0 4 4

7 IT 5312 Database Management Systems Laboratory PCC 0 0 4 4 2

TOTAL 17 1 10 28 23

SEMESTER IV

S. NO.

CODE

NO.

COURSE TITLE CATEGORY

PERIODS

PER WEEK

TOTAL

CONTACT

PERIODS

CREDITS

L T P

THEORY

1 HS5401 Film Appreciation HSMC 3 0 0 3 3

2 GE 5251 Environmental Sciences BSC 3 0 0 3 3

3 IT 5401

Object Oriented Programming and Advanced Data Structures

PCC 3 0 0 3 3

4 IT 5402

Design and Analysis of Algorithms PCC^3 0 0 3 5 IT 5403 Operating Systems PCC 3 0 0 3 3 6 IT 5451 Computer Architecture PCC 3 0 0 3 3 7 Audit Course – I * AC 3 0 0 3 0 PRACTICALS

8 IT 5411

Operating Systems Laboratory PCC^0 0 4 4

9 IT 5412 Advanced Data Structures Laboratory

PCC 0 0 4 4 2

TOTAL 21 0 8 29 22

*Audit Course is optional

SEMESTER VII

S.

NO.

CODE

NO.

COURSE TITLE CATEGORY

PERIODS

PER WEEK

TOTAL

CONTACT

PERIODS

CREDITS

L T P

THEORY

1 IT 5701 Artificial Intelligence PCC 3 0 0 3 3

2 IT 5702 Mobile Computing PCC 3 0 0 3 3

3 IT 5703

Cryptography and Security PCC^3 0 0 3 4 Professional Elective IV PEC 3 0 0 3 3 5 Professional Elective V PEC 3 0 0 3 3

6 Open Elective II OEC 3 0 0 3 3 PRACTICALS

6 IT 5711 Mobile and^ Security Laboratory

PCC 0 0 4 4 2

7 IT 5712 Project I EEC 0 0 4 4 2

TOTAL 18 0 8 26 22

SEMESTER VIII

S.

NO.

CODE

NO. COURSE TITLE^ CATEGORY

PERIODS

PER WEEK

TOTAL

CONTACT

PERIODS

CREDITS

L T P

THEORY

1 Professional Elective VI PEC 3 0 0 3 3

2 Professional Elective VII PEC 3 0 0 3 3

PRACTICALS

3 IT5811 Project II EEC 0 0 16 16 8

TOTAL 6 0 16 22 14

TOTAL NO. OF CREDITS: 167

SUMMARY

DOMAIN WISE GROUPING OF ELECTIVES:

 The electives have been grouped into 5 domains. The students should take electives from a minimum of four domains (to obtain breadth-wise knowledge), and a minimum of three electives from a single domain (to obtain depth-wise knowledge). The semesters in which the electives can be taken is mentioned.

Sl. No.

Systems and Computational Theory

Data, Analytics and web

Media Processing

Software development

Networks and security

Domain A Domain B Domain C Domain D Domain E 1 Virtualization Advances in Databases

Computer Graphics

C# and .NET Programming

Advanced Networks

Sem: V Sem: V, VI, VII, VIII

Sem: V, VI, VII, VIII

Sem: V, VI, VII, VIII

Sem: VI, VII, VIII

2 Unix Internals Soft Computing

Multimedia Technologies

Software Testing Network Programming and Management Sem: V, VI, VII, VIII

Sem: VI, VII, VIII

Sem: V, VI, VII, VIII

Sem: V, VI, VII, VIII

Sem: VI, VII, VIII

3 Heterogeneous Computing

Social Network Analysis

Digital Signal Processing

E-Learning Techniques

TCP/IP Design and Implementation

Sem: V, VI, VII, VIII

Sem: VI, VII, VIII

Sem: V, VI, VII, VIII

Sem: V, VI, VII, VIII

Sem: VI, VII, VIII

B.TECH. INFORMATION TECHNOLOGY

S.No.

Subject Area

Credits per Semester Credits I II III IV V VI VII VIII Total

1 HSMC 4 4 3 3 3 17

2 BSC 12 4 4 3 23

3 ESC 5 13 3 21

4 PCC 13 16 13 13 11 66

5 PEC 3 6 6 6 21

6 OEC 3 3 6

7 EEC 2 1 2 8 13

Total 167

Non-Credit /(Audit Course)

LIST OF PROFESSIONAL ELECTIVES

SI.

No

COURSE

CODE

COURSE

TITLE

ELECTIVE

DOMAIN CATEGORY L T P CONTACT

PERIODS C

  1. IT 5001 Virtualization ( SEMESTER V )

A

PEC 3 0 0 3 3

SEMESTER V ONWARDS

  1. (^) IT 5002 Unix Internals A PEC 3 0 0 3 3

3. IT 5003

Heterogeneous Computing A^ PEC^3 0 0 3

  1. (^) IT 5004 Graph Theory A PEC 3 0 0 3 3

5. IT 5005

Human Computer Interaction

A PEC 3 0 0 3 3

6. IT 5006

Logic and Applications in Computer Science

A PEC 3 0 0 3 3

  1. IT 5007 Advances in Databases B PEC 3 0 0 3 3

8. IT 5008

Computer Graphics C^ PEC^3 0 0 3

  1. IT 5009

Multimedia Technologies C^ PEC^3 0 0 3

10. IT 5010

Fundamentals Digital Signal Processing

C PEC 3 0 0 3 3

11. IT 5011

Multimedia Coding Techniques

C PEC 3 0 0 3 3

  1. (^) IT 5012 Pattern Recognition C^ PEC^3 0 0 3
  2. (^) IT 5013 Visualization Techniques C^ PEC^3 0 0 3
  3. IT 5014 C# and .NET Programming

D PEC 3 0 0 3 3

15. IT 5015

Software Testing D^ PEC^3 0 0 3

  1. IT 5016 E Techniques-Learning D PEC 3 0 0 3 3

SEMESTER VI ONWARDS

  1. IT 5017 Infrastructure Management

A PEC 3 0 0 3 3

18. IT 5018

Quantum Computing A^ PEC^3 0 0 3

  1. IT 5019 Soft Computing B PEC 3 0 0 3 3
  2. IT 5020 Social Network Analysis B PEC 3 0 0 3 3
  3. IT 5021 Semantic Web B PEC 3 0 0 3 3
  4. IT 5022 Information Retrieval B PEC 3 0 0 3 3

23. IT 5023

Fundamentals of Digital Image Processing

C PEC 3 0 0 3 3

  1. IT 5024 Mixed Reality C PEC 3 0 0 3 3
  2. IT 5025 Game Programming C PEC 3 0 0 3 3
  3. (^) IT 5026 Intellectual Property Rights D^ PEC^3 0 0 3
  4. IT 5027

Software Project Management

D PEC 3 0 0 3 3

28. IT 5028

Service Oriented Architecture and Microservices

D PEC 3 0 0 3 3

29. IT 5029

Software Quality Assurance

D PEC 3 0 0 3 3

30. IT 5030

Autonomous Ground Vehicle Systems

D PEC 3 0 0 3 3

  1. IT 5031 Advanced Networks

E PEC 3 0 0 3 3

32. IT 5032

Network Programming and Management

E PEC 3 0 0 3 3

33. IT 5033

TCP/IP Design and Implementation

E PEC 3 0 0 3 3

HSMC COURSES

S.NO

COURSE

CODE COURSE TITLE^ CATEGORY^ L^ T^ P^

CONTACT

PERIODS C

  1. HS5151 Technical English HSMC 4 0 0 4 4
  2. HS5251 Professional Communication HSMC 4 0 0 4 4
  3. HS5401 Film Appreciation HSMC 3 0 0 3 3
  4. HM5302 Philosophy HSMC 3 0 0 3 3
  5. HM5352 Ethics and Holistic Life HSMC 3 0 0 3 3

BASIC SCIENCE COURSES

S.NO COURSE

CODE

COURSE TITLE CATEGORY L T P CONTACT

PERIODS

C

  1. MA515 8 Engineering Mathematics I BSC 3 1 0 4 4
  2. PH5151 Engineering Physics BSC 3 0 0 3 3
  3. CY5151 Engineering Chemistry BSC 3 0 0 3 3
  4. BS5161 Basic Sciences Laboratory BSC 0 0 4 4 2
  5. MA5252 Engineering Mathematics II BSC 0 0 4 4 2
  6. MA5302 Discrete Mathematics BSC 3 1 0 4 4
  7. GE5251 Environmental Sciences BSC 3 0 0 3 3

ENGINEERING SCIENCE COURSES

S.NO

COURSE

CODE COURSE TITLE^ CATEGORY^ L^ T^ P^

CONTACT

PERIODS C

  1. GE5153 Problem Solving and Python Programming ESC 3 0 0 3 3
  2. EE5251 Basics of Electrical and Electronics Engineering

ESC 3 0 0 3 3

  1. GE5151 Engineering Graphics ESC 1 0 4 5 3
  2. EE5251 Electrical and Electronics Engineering Laboratory ESC 0 0 4 4 2

5. GE

Problem Solving and Python Programming Laboratory

ESC 0 0 4 4 2

  1. EE5261 Electrical and Electronics Engineering Laboratory

ESC 0 0 4 4 2

PROFESSIONAL CORE COURSES

S.

NO

COURSE

CODE COURSE^ TITLE^ CATEGORY^ L^ T^ P^

CONTACT

PERIODS C

  1. IT5352^ Programming and Data Structures PCC 3 0 0 3 3

IT5351 Database Management Systems PCC^3 0 0 3

  1. IT5302^ Software Engineering^ PCC 3 0 0 3 3
  2. IT5311^ Programming and Data Structures Laboratory PCC 0 0 4 4 2

IT5312 Database Management Systems Laboratory PCC^0 0 4 4

IT5401 Object Oriented Programming and Advanced Data Structures

PCC 3 0 0 3 3

IT5402 Design and Analysis of Algorithms PCC^3 0 0 3

IT5403 Operating Systems PCC 3 0 0 3 3

IT5451 Computer Architecture PCC 3 0 0 3 3

IT5411 Operating Systems Laboratory PCC^0 0 4 4

IT5412 Advanced Data Structures Laboratory PCC^0 0 4 4

IT5502 Compiler Engineering PCC 3 0 0 3 3

IT5551 Computer Networks PCC 3 0 0 3 3

IT5501 Web Technologies PCC 3 0 0 3 3

IT5511 Computer Networks Laboratory PCC^0 0 4 4

IT5512 Web Technologies Laboratory PCC^0 0 4 4

IT5611 Embedded Systems and Internet of Things PCC^3 0 0 3

IT5612 Data Analytics and Cloud Computing Laboratory PCC^3 0 0 3

IT5603 Distributed and Cloud Computing PCC^3 0 0 3

AUDIT COURSES (AC)

Registration for any of these courses is optional to students

Sl. No

Course Code

Course Title

Periods per week (^) Total Contact Periods

Credits

Lecture Tutorial Practical

  1. AD5091 Constitution of India 3 0 0 3 0
  2. AD5092 Value Education 3 0 0 3 0
  3. AD5093 Pedagogy Studies 3 0 0 3 0
  4. AD5094 Stress Management by Yoga 3 0 0 3 0

5. AD

Personality Development Through Life Enlightenment Skills

  1. AD5096 Unnat Bharat Abhiyan 3 0 0 3 0
  2. AD5097 Essence of Indian Knowledge Tradition

Total C redit s: 21 0

HS5151 TECHNICAL ENGLISH L T P C

OBJECTIVES:

 To familiarise first year students of engineering and technology with the fundamental aspects of technical English.  To develop all the four language skills by giving sufficient practice in the use of the skills in real life contexts.  To enhance the linguistic and communicative competence of first year engineering and technology students.

UNIT I INTRODUCING ONESELF 12 Listening: Listening and Filling a Form, Listening to Speeches by Specialists From Various Branches of Engineering and Completing Activities such as Answering Questions, Identifying the Main Ideas of the Listening Text, Style of the Speaker (Tone and Tenor) – Speaking : Introducing Oneself – Introducing Friend/ Family – Reading: Descriptive Passages (From Newspapers / Magazines) – Writing : Writing a Paragraph (Native Place, School Life) – Grammar: Simple Present, Present Continuous – Vocabulary Development : One Word Substitution.

UNIT II DIALOGUE WRITING 12 Listening: Listening to Conversations (Asking for and Giving Directions) – Speaking: Making Conversation Using (Asking for Directions, Making an Enquiry), Role Plays- Dialogues – Reading: Reading a Print Interview and Answering Comprehension Questions- Writing : Writing a Checklist, Dialogue Writing – Grammar : Simple Past – Question Formation (Wh-Questions, Yes or No Questions, Tag Questions) – Vocabulary Development : Stress Shift, Lexical Items Related to the Theme of the Given Unit.

UNIT III FORMAL LETTER WRITING 12 Listening : Listening to Speeches by Famous People and Identifying the Central Message of the Speech – Answering Multiple-Choice Questions) – Speaking: Giving Short Talks on a Given Topic- Reading: Reading Motivational Essays on Famous Engineers and Technologists (Answering Open – Ended and Closed Questions) – Writing: Writing Formal Letters/ Emails (Complaint Letters) – Grammar : Future Tense Forms of Verbs, Subject and Verb Agreement- Vocabulary Development : Collocations – Fixed Expressions.

UNIT IV WRITING COMPLAINT LETTERS 12 Listening : Listening to Short Talks (5 Minutes Duration and Fill a Table, Gap-Filling Exercise) Note Taking/Note Making – Speaking: Small Group Discussion, Giving Recommendations – Reading: Reading Problem – Solution Articles/Essays Drawn From Various Sources – Writing: Making Recommendations – Writing a Letter/ Sending an Email to the Editor – Note Making – Grammar: Modals – Phrasal Verbs – Cause and Effect Sentences – Vocabulary Development : Connectives, Use Of Cohesive Devices In Writing, Technical Vocabulary.

UNIT V WRITING DEFINITIONS AND PRODUCT DESCRIPTION 12 Listening: Listening to a Product Description (Labeling and Gap Filling) Exercises – Speaking: Describing a Product and Comparing and Contrasting it with Other Products – Reading : Reading Graphical Material for Comparison (Advertisements) – Writing: Writing Definitions (Short and Long) – Compare and Contrast Paragraphs- Grammar: Adjectives – Degrees of Comparison – Compound Nouns – Vocabulary Development : Use of Discourse Markers – Suffixes (Adjectival Endings).

TOTAL : 60 PERIODS