B.Tech. (Honours) in ICT with minor in Computational Science

Application Process

DA-IICT launched the unique four-year undergraduate program leading to the degree of B.Tech. (Honours) in ICT with minor in Computational Science from 2013-14 academic session.

Program Overview The ICT embodies the convergence of Computer and Communication systems and has obtained wide acceptance as a distinct discipline. It is also expected that ICT graduates would enjoy a special niche only if they have certain performance capabilities not found in conventional CSE and/or ECE graduates. Logically this convergence takes place at the systems level, but at the same time it is necessary to accept a certain level of granularity as one goes down to the level of circuits, devices and materials. All programs are designed to operate on a semester-based framework that follows choice-based credit system.

Computational science involves use of mathematical models, numerical methods, quantitative analysis techniques, advanced computing capabilities and IT knowledge to understand and solve complex science, engineering and social problems aimed in improving products, processes, and work-flows. The institute started this program in the area of Computational Science to impart the necessary knowledge and insight to the students to build computational models to understand, analyze and address fundamental problems in the areas of societal importance.

The minor in CS program is focused on two main lines – theoretical learning and practical implementation. The students must take core/group-elective courses in the areas of Mathematics, Physics, Numerical and Computational Methods, Modeling and Simulation, High Performance Computing, Parallel Programming, Data analysis and Visualization. The electives are further designed to sharpen this skill-set by providing domain knowledge in interdisciplinary areas ranging from engineering to biological applications.

The B.Tech. (Honours) in ICT with minor in Computational Science requires a student to complete additional 18 credits (four courses) in the core and elective components of Computational Science in addition to the B.Tech. in ICT program requirement.

Programme Outcomes (POs)

PO No. Programme Outcomes
PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences
PO3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10 Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

The Programme Specific Outcomes (PSOs) set the following goal:

After the successful completion of the B.Tech. (Honours) in ICT with minor in Computational Science programme, students will have:

PSO No. Program Specific Outcomes (PSOs)
PSO1 To apply the theoretical concepts of computer engineering and practical knowledge in analysis, design and development of computing systems and interdisciplinary applications.
PSO2 Develop system solutions involving both hardware and software modules
PSO3 To work as a socially responsible professional by applying ICT principles in real-world problems.

Program Outcomes (POs) & Course Outcomes (COs) of The Program

Syllabus of The Program

Program Structure

The course structure of the curriculum is broadly classified into four categories.

  • Foundation or Core Courses:

    Set of compulsory courses taken by every student for first five semesters. These courses are from the technical areas of Computer Science and Information Technology, Electronics and Communication, as well as courses in Humanities, Mathematics and Basic Sciences.

  • Elective Courses:

    These courses add to both, the technical strength and humanities and social science skills of the program. The students can choose the elective courses from the available ones from fifth semester onwards. The elective courses are grouped into the following categories.

    • ICT Electives
    • Technical Electives
    • Humanities and Social Sciences Electives
    • Science Electives
    • Open Electives
  • Internships and BTech Projects :

    Students will do a rural internship during the third semester winter break at NGO or Government Organization. The students will do an industrial or research internship during the summer break in the end of their 6th semester. Finally the student will take a semester long on-campus project (BTP) or the off-campus project – Industrial Training Project (ITP).

  • Co-curricular Activities and Exploration Project:

    Co-curricular activities are non-class activities like sports, cultural and technical club activities. These courses run over the first four semesters and are graded Pass/Fail. 
    Exploration projects allow students to explore their surroundings to identify interesting problems that admit a design based and/or hardware based solution and make such a product by leveraging the introduction to ICT skills learnt in the first semester. Students are expected to work in groups of 8 to 10 under a faculty mentor over two semesters - second and third semester. This course will be graded on a Pass/Fail basis.

A unique feature of the program is the mandatory rural internship, which is expected to give the student a feel of his/her social milieu and is typically carried out with an NGO and Govt. organizations. The rural internship is offered in the Winter break after the 3rd semester. After the completion of foundation courses, the student is required to take a 6-8 week mandatory industrial/research internship, which is offered in the summer break after the 6th semester. The student has a choice of taking an industrial internship or a research internship depending on his/her career goals. The student is required to take at least a semester long BTech project (BTP), during which he/she is required to demonstrate his/her ability to learn current areas of research and/or industrial interest. Furthermore, a student has option to do BTP as on-campus or off-campus mode, where the on-campus mode allows the student to explore his/her research interest under the supervision of a faculty, whereas the off-campus mode allows the student in getting exposure to industry and/or other R&D organizations/universities.

Most of the foundation courses are offered in the first four semesters and a part of the fifth semester. These courses are from the technical areas of Computer Science and Information Technology, Electronics and Communication, as well as courses in Humanities, Mathematics and Basic Sciences. In the remaining 3 and a half semesters, students take elective courses and do internships and projects.

The curriculum accommodates 166 credits, out of which 147 credits for courses and 19 credits for internships and project work. In addition, there are 6 credits for Co-curricular Activities courses and Exploratory Projects. Out of the 147 required coursework credits, 108 credits are allocated to compulsory courses (Foundation courses) and 39 credits are allocated to four kinds of electives (12 credits are allocated to ICT electives, 12 credits to Technical electives, 6 credits to Science electives, 3 credits to HASS elective and 6 credits to Open electives), which the student can choose according to his/her inclination and interest.

Semester-wise course sequence

Each course is associated with a fixed number of credits. Credits are awarded on an L-T-P-C system (C=L+T+P/2) per semester, that is, the number of contact hours for Lectures (L), Tutorials (T) and Practical (P) in a week. Nominally, since a semester has around 13–14 weeks of classes, therefore, a 3credit lecture course would amount to approximately 40 lecture hours in a semester.

Semester I
Semester I L-T-P-C
Introduction to ICT 1-0-2-2
Language and Literature 3-0-0-3
Calculus 3-1-0-4
Introduction to Programming 3-0-0-3
Programming Lab 0-0-2-1
Basic Electronic Circuits 3-0-2-4
Co-curricular Activities-1 0-0-2-1
Total 17
Semester II
Semester II L-T-P-C
Approaches to Indian Society 3-0-0-3
Discrete Mathematics 3-1-0-4
Digital Logic and Computer Organization 3-0-2-4
Data Structures 3-0-0-3
Data Structures Lab using OOP 1-0-2-2
Electromagnetic Theory 3-1-0-4
Exploratory Project 1 0-1-0-1
Co-curricular Activities-2 0-0-2-1
Total 20
Semester III
Semester III L-T-P-C
Science, Technology, Society 3-0-0-3
Linear Algebra 3-1-0-4
Design and Analysis of Algorithms 3-1-0-4
Computer Systems Programming 3-0-2-4
Signal and Systems 3-0-2-4
Exploration Project 2 0-0-2-1
Co-curricular Activities-3 0-0-2-1
Semester IV
Semester IV L-T-P-C
Principles of Economics 3-0-0-3
Probability and Statistics 3-1-0-4
Database Management System 3-0-2-4
Embedded Hardware Design 3-0-2-4
Introduction to Communication Systems 3-0-2-4
Introduction to Computational Physics 3-0-3-4.5
Co-curricular Activities-4 0-0-2-1
TOTAL 23.5
Semester V
Semester V L-T-P-C
Software Engineering 3-0-2-4
Digital Communications 3-0-2-4
Computer Networks 3-0-2-4
ICTE-1 3-0-2-4
TE-1 3-0-0-3
Numerical and Computational Methods 3-0-3-4.5
TOTAL 23.5
Semester VI
Semester VI L-T-P-C
Environmental Science 3-0-0-3
SE-1 3-0-0-3
ICTE-2 3-0-2-4
TE-2 3-0-0-3
TE-3 3-0-0-3
Modeling and Simulation 3-0-3-4.5
High Performance Computing 3-0-3-4.5
TOTAL 20.5
Semester VII
Semester VII L-T-P-C
BTP-1 0-1-6-4
ICTE-3 3-0-2-4
TE-4 3-0-0-3
HASSE-1 3-0-0-3
SE-2 3-0-0-3
Semester VIII
Semester VIII L-T-P-C
BTP-2 0-2-12-8
OE-1 3-0-0-3
OE-2 3-0-0-3

ICTE: ICT Elective; TE: Technical Elective; HASSE: Humanities and Social Science Elective; OE: Open Elective; BTP: BTech Project

Representative list of electives

  • Graph Theory and Algorithms
  • Approximation Algorithms
  • Computational Complexity
  • Randomized Algorithms
  • Quantum Computing
  • Introduction to Cryptography
  • Blockchain and Cryptocurrencies
  • Adversarial Machine Learning
  • Machine Learning and Security
  • Introduction to coding theory and
  • Applications
  • Compiler Design
  • Digital Image Processing
  • Internet of Things
  • Digital Signal Processing
  • Statistical Communication
  • Wireless System Design
  • RF and Antenna Engineering
  • Microwave Propagation
  • Control Theory
  • Human Computer Interaction
  • Data Mining and Visualization
  • Human Computer Interaction
  • Natural Language Processing
  • Natural Computing
  • Software Engineering
  • Optimization
  • Computational Financial
  • Modern Algebra
  • Software Project Management
  • Specification and Verification of Systems
  • Models of Computation
  • System and Network Security
  • No SQL Database
  • Web Data Management
  • Speech Technology
  • Deep Learning
  • Recommendation Systems
  • Intro. to AI
  • Intro to Data Science
  • Introduction to Robotics
  • Introduction to Complex Network
  • Stochastic Simulation
  • Computational Number Theory
  • Einstein's Physics
  • Operating Systems
  • Nanoelectronics
  • Introduction to VLSI Circuits
  • Analog IC Design
  • Logic for Computer Science
  • Modern European Philosophy
  • Art: Ideas and Perspectives
  • Human Behaviour Management
  • Culture, Politics, Identity
  • Organisational Behaviour
  • Publics in South Asia: Contemporary Perspectives
  • Systems, Policies and Implications

Admission Process

Details on the application process, admission criteria, fee structure and financial assistance can be found here

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