B.Tech - Information Technology(IT)

Curriculum & Syllabus 2023


Academic year: 2023
Duration: 4

Programme Type: B.Tech
Branch: IT

Programme Structure

 

The curriculum for B.Tech. Information Technology (IT) consists of induction programme, core courses, practical courses, programme elective courses, non-credit pass or fail courses, mini project & main project, internships and various activities. The curriculum is designed for 167 credits and has 7 non-credit courses. 167 credits include activities (cocurricular/extracurricular) of 2 credits. The curriculum is framed to mould eminent professionals with creative minds and innovative ideas. All the core theory courses and elective courses shall have five modules and sixth module for some courses.

SEMESTER 1
Course Code Course Title L-T-P Hours Credit
102908/CH900A Engineering Chemistry 4-0-2 6 5
102908/MA100B Calculus And Linear Algebra 4-1-0 5 4
102906/CO100E Introduction To Electrical And Electronics Engineering 4-0-0 4 4
102903/CO100F Introduction To C Programming 3-0-2 5 4
102908/EN900G English For Engineers 2-0-2 4 Pass/Fail
102909/CO100I Induction Programme 6-0-0 6 Pass/Fail
SEMESTER 2
Course Code Course Title L-T-P Hours Credit
102906/PH900A Engineering Physics A 4-0-2 6 5
102903/MA200B Complex Analysis And Transforms 4-1-0 5 4
102903/CE200C Engineering Mechanics 3-0-0 3 3
102908/ME900D Engineering Graphics 3-0-2 5 4
102902/CO200F Logic System Design 4-0-3 7 5
102906/CO922S Manufacturing Practices A 0-0-4 4 2
SEMESTER 3
Course Code Course Title L-T-P Hours Credit
102004/IT300A Principles Of Object Oriented Programming 4-0-3 7 5
102903/CO300B Data Structures 3-1-0 4 4
102903/MA300C Discrete Mathematics 4-0-0 4 4
102902/CO300D Computer Organization And Architecture 3-1-0 4 4
102908/CO900G /102909/ES900G Environmental Science And Sustainable Engineering /Constitution Of India 2-0-0 2 Pass/Fail
LAB
102903/CO322S Data Structures Lab 0-0-3 3 2
SEMESTER 4
Course Code Course Title L-T-P Hours Credit
102004/IT400A Problem Solving Using Python 4-0-3 7 5
102903/CO400B Data Base Management Systems 3-1-0 4 4
102902/MA400C Probability Distributions, Numerical Analysis And Statistical Methods 4-0-0 4 4
102902/CO400D Theory Of Computation 3-1-0 4 4
102908/CO900G / 102909/ES900G Environmental Science And Sustainable Engineering / Constitution Of India 2-0-0 2 Pass/Fail
LAB
102903/CO422S DataBase Management Systems Lab 0-0-3 3 2
SEMESTER 5
Course Code Course Title L-T-P Hours Credit
102902/CO500B Operating Systems 3-1-0 4 4
102XXX/XX5XXD Elective1 3-1-0 4 4
Elective1
Course Code Course Title L-T-P Hours Credit
102004/IT501D Microprocessors And Microcontrollers 3-1-0 4 4
102004/IT502D Compiler Design 3-1-0 4 4
102004/IT503D Object Oriented Modeling And Design 3-1-0 4 4
102004/IT504D Advanced Database Management System 3-1-0 4 4
102902/MA501D Fractals 3-1-0 4 4
102902/MA502D Hypergraphs And Applications 3-1-0 4 4
102903/MA503D Mathematics For Machine Learning 3-1-0 4 4
102903/MA506D Advanced Graph Theory 3-1-0 4 4
102908/ES900E /102908/EN900F Industrial Economics / Professional And Business Ethics 3-0-0 3 3
102908/ME900G / 102908/ES900G Industrial Safety / UHV And Social Work With Community Service 2-0-0 2 Pass/Fail
LAB
102902/CO522S Operating Systems Lab 0-0-3 3 2
SEMESTER 6
Course Code Course Title L-T-P Hours Credit
102004/IT600A Internetworking With TCP/IP 4-0-3 7 5
102903/CO600B Algorithm Analysis And Design 3-1-0 4 4
102004/IT600C Data Mining 3-0-0 3 3
102XXX/XX6XXD Elective2 3-0-0 3 3
Elective2
Course Code Course Title L-T-P Hours Credit
102004/IT601D Cyber And Network Forensics 3-0-0 3 3
102004/IT602D Computer Graphics 3-0-0 3 3
102902/CO606D Semantic Web 3-0-0 3 3
102902/CO607D Introduction To IoT 3-0-0 3 3
102902/CO608D Information Retrieval 3-0-0 3 3
102902/MA601D Fuzzy Sets And Applications 3-0-0 3 3
102903/MA602D Dynamic Programming And Queueing Theory 3-0-0 3 3
102902/MA603D Mathematics For Quantum Computing 3-0-0 3 3
102903/CO602D High Performance And Quantum Computing 3-0-0 3 3
102908/ES900G /102908/ME900G UHV And Social Work With Community Service /Industrial Safety 2-0-0 2 Pass/Fail
LAB
102004/IT622S Predictive Analytics Lab 0-0-3 3 2
102004/IT622T Mini Project 0-0-2 2 1
SEMESTER 7
Course Code Course Title L-T-P Hours Credit
102004/IT700A Artificial Intelligence 4-1-0 5 4
102004/IT700B Cryptography And Network Security 2-2-0 4 3
102XXX/XX7XXC Elective3 3-0-0 3 3
Elective3
Course Code Course Title L-T-P Hours Credit
102004/IT701C Data Analytics 3-0-0 3 3
102004/IT702C Text Mining 3-0-0 3 3
102902/CO701C Mobile Computing 3-0-0 3 3
102902/CO703C Blockchain And Cyber Security 3-0-0 3 3
102903/CO702C Cloud Computing 3-0-0 3 3
102903/CO704C Image Processing 3-0-0 3 3
Course Code Course Title L-T-P Hours Credit
102XXX/XX7XXD Open Elective 3-0-0 3 3
LAB
102908/CO7XXG Rajagiri Elective 2-0-0 2 Pass/Fail
102XXX/IT7XXS P Practical Elective 0-0-3 3 2
Practical Elective
Course Code Course Title L-T-P Hours Credit
102902/CO701S Image Processing Lab 0-0-3 3 2
102004/IT701S R Programming Lab 0-0-3 3 2
102004/IT702S Data Visualization Lab 0-0-3 3 2
102004/IT703S Computer Graphics Lab 0-0-3 3 2
LAB
102004/IT722T Seminar 0-0-2 2 1
102004/IT722U Project Work Phase 1 0-0-6 6 3
SEMESTER 8
Course Code Course Title L-T-P Hours Credit
Activity 0-0-0 0 2
102XXX/XX8XXA/102XXX/XX83XA Elective4 / MOOC 3-0-0 3 3
Elective4
Course Code Course Title L-T-P Hours Credit
102004/IT801A Natural Language Processing 3-0-0 3 3
102004/IT802A Big Data Computing 3-0-0 3 3
102902/CO801A Business Intelligence And Analytics 3-0-0 3 3
102902/CO802A Introduction To Embedded System Design 3-0-0 3 3
102902/CO803A Edge Computing 3-0-0 3 3
Course Code Course Title L-T-P Hours Credit
102XXX/XX8XXB/102XXX/XX84XB Elective5 / MOOC 3-0-0 3 3
Elective5
Course Code Course Title L-T-P Hours Credit
102004/IT801B Advanced Computer Networks 3-0-0 3 3
102004/IT802B Information Security 3-0-0 3 3
102902/CO802B Deep Learning 3-0-0 3 3
Course Code Course Title L-T-P Hours Credit
102XXX/XX8XXC/102XXX/XX85XC Elective6 / MOOC 3-0-0 3 3
Elective6
Course Code Course Title L-T-P Hours Credit
102004/IT801C Foundations Of Cyber Physical Systems 3-0-0 3 3
102902/CO801C Computer Vision Essentials 3-0-0 3 3
102902/CO802C Introduction To Industry 4.0 And Industrial IoT 3-0-0 3 3
OPEN ELECTIVE
Basket 1
Course Code Course Title L-T-P Hours Credit
102906/EC701D Fundamentals Of IoT 3-0-0 3 3
102906/EC702D Fundamentals Of Digital Image Processing 3-0-0 3 3
102906/EC703D Embedded System 3-0-0 3 3
Basket 10
Course Code Course Title L-T-P Hours Credit
102908/CH701D Introduction To Functional Materials 3-0-0 3 3
102908/CH702D Introduction To Nanoscience 3-0-0 3 3
102908/EN701D Soft Skills & Interpersonal Communication 3-0-0 3 3
102908/ES701D Entrepreneurship And Economic Policies 3-0-0 3 3
102908/PH701D Solar Photovoltaics: Fundamentals To Device Modelling And Fabrication 3-0-0 3 3
102908/PH702D Graphene And Low Dimensional Materials 3-0-0 3 3
102908/PH703D Astronomy And Astrophysics: Exploring Celestial Dynamics 3-0-0 3 3
Basket 2
Course Code Course Title L-T-P Hours Credit
102906/AE701D Fundamentals Of Mechatronics 3-0-0 3 3
102906/AE702D Robotics And Industrial Automation 3-0-0 3 3
Basket 5
Course Code Course Title L-T-P Hours Credit
102907/EE701D Electric Vehicles 3-0-0 3 3
102907/EE702D Energy Management And Auditing 3-0-0 3 3
Basket 6
Course Code Course Title L-T-P Hours Credit
102907/ME701D Quality Engineering And Management 3-0-0 3 3
102907/ME702D Renewable Energy Engineering 3-0-0 3 3
Basket 7
Course Code Course Title L-T-P Hours Credit
102907/CE701D Public Health Engineering 3-0-0 3 3
102907/CE702D Structural Mitigation Of Natural Disasters 3-0-0 3 3
102907/CE703D Traffic Engineering And Road Safety 3-0-0 3 3
Basket 9
Course Code Course Title L-T-P Hours Credit
102908/MA701D Mathematical Methods For Engineering 3-0-0 3 3
102908/MA702D Statistical Methods For Engineering 3-0-0 3 3
102908/MA703D Computational Calculus And Algebra 3-0-0 3 3
102908/CO822I Internship 0-0-0 0 2
Elective6
Course Code Course Title L-T-P Hours Credit
102903/CO803C S Software Testing 3-0-0 3 3
102004/IT822U Project Work Phase 2 0-0-16 16 8
102XXX/XX89XW Mandatory MOOC 0-0-0 0 Pass/Fail

INDUCTION PROGRAMME 

Induction Programme Shall Include Fundamentals Of Mathematics, Programme Core And Fundamentals Of Computing, Engineering Science, English And Universal Human Values. The Induction Programme Shall Be Conducted At The Beginning Of The First Semester For 15 Days. 

Distribution Of Hours: Fundamentals Of Mathematics – 16, Programme Core And Fundamentals Of Computing – 15 (AE/EC/EE/CE/ME - 10 + 5; AD/CS/CU/IT - 15), Engineering Science – 15, English – 15, Universal Human Values/external Talks – 12 Hours. 

PROGRAMME CORE COURSES 

The Core Courses Comprise Mathematics, Basic Sciences And Engineering Courses, And Discipline Level Significant Courses Which Are Framed As Per The Need Of Both Academia And Industry. The Core Courses Include The Fundamentals As Well As The Courses To Understand Recent Developments In The Discipline. 

PRACTICAL COURSES 

Practical Courses, Mostly Based On The Theory The Students Have Studied, Are Meant For Skill Development And Creative Thinking. 

PROGRAMME ELECTIVES 

Students Can Enrich Their Knowledge In The Domain Of The Programme By Taking 6 Programme Electives. Electives Are Meant To Bridge The Gap Between Academia And Industry. The Department May Add More Electives With The Recommendation Of The Board Of Studies And Approval Of The Academic Council. These Electives Are Offered In 5, 6, 7 And 8 Semesters. 

PRACTICAL ELECTIVE 

Practical Elective Is Meant To Widen The Domain Of Knowledge. Students Can Choose This Course As A Post Requisite Of Any Of The Electives Offered. 

NON-CREDIT COURSES 

To Inculcate Human Values And Social Awareness, Overcome Hurdles In Different Walks Of Life And To Face The Challenges In Career Development Non-credit Courses Are Introduced. The Courses Offered Are English For Engineers, Constitution Of India, Environmental Science And Sustainable Engineering, UHV And Social Work With Community Service, Industrial Safety, Rajagiri Electives And Mandatory MOOC. Students Are Required To Pass All The Courses To Get The Degree. 

MINI PROJECT 

It Is Introduced In The Sixth Semester With The Specific Objective Of Strengthening The Understanding Of Fundamentals Through Effective Application Of Theoretical Concepts. The Mini Project Helps To Boost The Student’s Skills And Widens The Horizon Of Their Thinking. The Ultimate Aim Of An Engineering Student Is To Resolve A Problem By Applying Theoretical Knowledge. Doing More Projects Increases Problem- Solving Skills. Student Groups With 3 Or 4 Members Should Identify A Topic Of Interest In Consultation With Faculty/Advisor, Review The Literature And Gather Information Pertaining To The Chosen Topic, State The Objectives And Develop A Methodology To Achieve The Objectives, Carry Out The Design/fabrication Or Develop Codes/programs To Achieve The Objectives, And Demonstrate The Novelty Of The Project Through The Results And Outputs. The Progress Of The Mini Project Is Evaluated Based On A Minimum Of Two Reviews. The Review Committee May Be Constituted By The Head Of The Department. A Project Report Is Required At The End Of The Semester. The Product Has To Be Demonstrated For Its Full Design Specifications. Innovative Design Concepts, Reliability Considerations, Aesthetics/ergonomic Aspects Taken Care Of In The Project Shall Be Given Due Credit. The Internal Evaluation Will Be Made Based On The Product, The Report And A Viva-voce Examination, Conducted Internally By A Three-member Committee Appointed By The Head Of The Department Comprising The Head Of The Department Or A Senior Faculty Member, Mini Project Coordinator For That Program And Project Guide. SEMINAR To Encourage And Motivate The Students To Read And Collect Recent And Reliable Information About Their Area Of Interest Confined To The Relevant Discipline, Each Student Is Required To Prepare A Report Based On A Central Theme, Drawn From Technical Publications Including Peer Reviewed Journals, Conferences, Books, Project Reports Etc. And Present The Same Before A Peer Audience. Each Student Seminar Shall Be Of 20 Minutes Duration. The Report And The Presentation Shall Be Evaluated By A Team Comprising Academic Coordinator For The Respective Program, Seminar Coordinator And Seminar Guide Based On Style Of Presentation, Technical Content, Adequacy Of References, Depth Of Knowledge And Overall Quality Of The Report. 

PROJECT WORK PHASE - I 

The Project Topic Must Be Selected Either From Research Literature Or It May Be Proposed By The Students In Consultation With Their Guides. The Objective Of Project Work Phase I Is To Enable The Student To Take Up Investigative Study In The Broad Field Of Computer Science And Engineering, Either Fully Theoretical/ Practical Or Involving Both Theoretical And Practical Work. It Will Be Assigned By The Department To A Group Of Three/four Students, Under The Mentoring Of A Project Guide(s). This Is Expected To Be A Good Initiation For The Student(s) In R&D Work. The Assignment Shall Normally Include: 

    • Survey And Study Of Published Literature On The Assigned Topic 

    • Preparing An Action Plan For Conducting The Investigation 

    • Working Out A Preliminary Approach To The Problem Relating To The Assigned Topic 

    • Block Level Design Documentation 

    • Conducting Preliminary Analysis/ Modelling/ Simulation/ Experiment/ Design/Feasibility 

    • Preparing A Written Report On The Study Conducted For Presentation To The Department 

    • Final Project Presentation Before The Concerned Departmental Committee 

PROJECT WORK PHASE -II 

The Objective Of Project Work Phase II & Dissertation Is To Enable The Student To Extend Further The Investigative Study Taken Up In Project Phase I, Either Fully Theoretical/practical Or Involving Both Theoretical And Practical Work, Under The Mentoring Of A Project Guide From The Department Alone Or Jointly With A Supervisor Drawn From R&D Laboratory/industry. This Is Expected To Provide A Good Training For The Student(s) In R&D Work And Technical Leadership. The Assignment Shall Normally Include: 

   • In Depth Study Of The Topic Assigned In The Light Of The Report Prepared In Phase I 

  • Review And Finalization Of The Approach To The Problem Relating To The Assigned Topic

  • Detailed Analysis/ Modeling/ Simulation/ Design/ Problem Solving/ Experiment As Needed   • Final Development Of Product/process, Testing, Results, Conclusions, And Future Directions 

  • Preparing A Paper For Conference Presentation/ Publication In Journals, If Possible

  • Preparing A Dissertation In The Standard Format For Being Evaluated By The Department 

  • Final Presentation Before The Concerned Evaluation Committee 

MANDATORY INTERNSHIP 

The Internship Is Meant To Familiarize The Student With The Needs Of The Industry. The Internship Committee Shall Take The Initiative To Find Suitable Industries. Assessment Will Be Based On The Report And Viva Voce. 

ACTIVITY POINTS 

All Students Have To Earn A Minimum Of 100 Activity Points From Various Activity Segments Listed To Qualify For The B.Tech. Degree. Two Credits Are Given For This On A Pass/ Fail Basis And Is Mandatory For Getting The B.Tech. Degree. As No Grade Is Given For These Two Credits, They Are Not Included In The CGPA Calculation.