B.Tech Course Catalog - BT23

The course catalog is a student's record of programs and courses. The catalog is updated annually by the curriculum committee. The content of a course or program may be altered to meet particular class needs as long as all learning objectives and competencies are met. Although this catalog was prepared using the best information available at the time, all information is subject to change without notice or obligation.

Additional help is available from Dean of Academics and students are encouraged to meet regularly with their faculty mentors assigned to ensure they are on track to degree requirements.

Head of the department and faculty mentors assigned to each student provide academic advisement; however, each student is ultimately responsible for understanding and fulfilling all degree requirements.

It is important that students follow the course catalog they have declared in the student Credit Register of IARE Samvidha Portal and is reflected in the AUTOMATED PERMANENT ACADEMIC ACCOUNT (APAAR) REGISTRY ID.

Academic regulations (BT23) can be found here.

I Semester
Theory
AHSD02 : Matrices and Calculus AHSD03 : Engineering Chemistry AHSD07 : Applied Physics ACSD01 : Object Oriented Programming
Practical
AHSD09 : Applied Physics Laboratory ACSD02 : Object Oriented Programming with Java Laboratory AHSD05 : Engineering Chemistry Laboratory AMED03 : Engineering Graphics
Mandatory Course
AHSD06 : Environmental Science
Skill Enhancement Project
ACSD04 : Mobile Applications Development
II Semester
Theory
AHSD01 : Professional Communication AHSD08 : Differential Equations and Vector Calculus ACSD05 : Essentials of Problem Solving AEED01 : Elements of Electrical and Electronics Engineering
Practical
AHSD04 : Professional Communication Laboratory ACSD06 : Programming for Problem Solving Laboratory AMED02 : Manufacturing Practice AEED03 : Electrical and Electronics Engineering Laboratory
Experiential Engineering Education (ExEEd)
ACSD03 : Essentials of Innovation
Mandatory Course
AHSD10 : Gender Sensitization
III Semester
Theory
AHSD11 : Probability and Statistics AECD04 : Computer System Architecture ACSD09 : Operating Systems ACDD01 : Discrete Mathematical Structures ACSD08 : Data Structures
Practical
ACSD10 : Operating Systems Laboratory ACSD11 : Data Structures Laboratory AITD02 : Programming with Objects Laboratory
Experiential Engineering Education (ExEEd)
ACSD12 : Prototype and Design Building
IV Semester
Theory
ACSD14 : Web Systems Engineering ACSD13 : Design and Analysis of Algorithms AITD03 : Database Management Systems ACAD03 : Applied Artificial Intelligence ACDD03 : Data Handling and Visualizations
Practical
ACSD17 : Web Systems Engineering Laboratory AITD05 : Database Management Systems Laboratory ACDD04 : Data Handling and Visualizations Laboratory
Skill Enhancement Project
ACSD18 : DevOps Engineering
V Semester
Theory
ACDD05 : Software Engineering ACSD31 : Theory of Computation ACDD06 : Data Mining and Warehousing ACDD07 : Optimization Techniques Program Elective – I
Practical
ACDD13 : Linux Internals Laboratory ACDD14 : Data Mining and Warehousing Laboratory
Skill Enhancement Project
ACSD29 : Engineering Design Project ACSD30 : Java Full Stack Development
VI Semester
Theory
ACAD06 : Machine Learning Algorithms AITD04 : Computer Networks Program Elective – II Program Elective – III Open Elective – I
Practical
ACAD11 : Machine Learning Algorithms Laboratory ACCD03 : Computer Networks Laboratory
Skill Enhancement Project
ACSD44 : Data Scientist / AI Specialist ACSD45 : Development Project
VII Semester
Theory
ACDD20 : Distributed Systems and Security ACDD21 : Big Data Management Program Elective – IV Program Elective – V Open Elective – II
Practical
ACDD29 : Big Data Management Laboratory ACDD30 : Distributed Systems Security Laboratory
Project Work
ACDD31 : Project Work (Phase - I)
Mandatory Course
AHSD14 : Essence of Indian Traditional Knowledge
VIII Semester
Theory
AHSD15 : Managerial Economics and Financial Analysis Program Elective – VI Open Elective – III
Project Work
ACDD36 : Project Work (Phase - II)

PROGRAM ELECTIVES COURSES (PEC)
Professional Elective – I
ACDD08 : Image Processing ACDD09 : Mobile Computing ACDD10 : Parallel and Distributed Algorithms ACDD11 : Cloud Computing ACDD12 : Soft Computing
Professional Elective – II
ACSD37 : Advanced Social, Text and Media Analytics ACAD26 : Augmented Reality and Virtual Reality ACDD15 : NOSQL Databases AITD11 : Natural Language Processing ACCD28 : Parallel Programming
Professional Elective – III
ACSD25 : Software Project Management ACCD08 : Principles of IoT ACDD16 : Information Security ACAD08 : Information Retrieval Systems ACDD17 : Predictive Data Analytics
Professional Elective – IV
ACDD22 : Fuzzy Logic Systems ACAD15 : Machine Learning for Engineering Applications ACDD23 : Reinforcement Learning ACDD24 : Applied Natural Language Processing ACCD05 : Computer Vision
Professional Elective – V
AITD16 : Agile Development and Scrum Practices ACDD25 : Deep Learning Techniques ACDD26 : Advanced Data Mining ACDD27 : Cryptography and Network Security ACDD33 : Foundations of Cyber Physical Systems
Professional Elective – VI
ACDD32 : GPU Computing ACSD57 : Blockchain Technologies ACSD58 : Digital Visualizations ACCD22 : Edge Computing ACAD14 : Human Computer Interaction (UI & UX)

OPEN ELECTIVE COURSES (OEC)
Open Elective – I
ACDD18 : Business Intelligence ACDD19 : Modelling and Optimization Techniques
Open Elective – II
ACDD28 : Cluster Computing ACSD53 : Ethical Hacking
Open Elective – III
ACDD34 : Exploratory Data Analysis ACDD35 : Algorithmic Techniques for Big Data