Bachelor of Technology [B.Tech] (Bioinformatics)

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Pranjal Singhal

Content Curator | Updated on - Sep 9, 2021

Course Structure:

The course structure of the course is designed so as to provide an in-depth knowledge of all the necessary concepts related to bioinformatics, be it biology, basic engineering, information technology, computer languages and design or soft skill development. During this course, a student has to attend various laboratory experiments which provide a practical application of the concepts taught in the classrooms. These labs are a supplement to the classroom programs of the semesters. Along with these, the students also have to take up language courses apart from English. These language courses are usually French, German, and Chinese etc.

The other essentials of this course are the seminar, presentations and projects taken up by the students after the third semesters generally. The students are also required to take a compulsory internship after the completion of the sixth semester as a part of the curricula and they shall be evaluated accordingly.

Also, there are a few interdisciplinary courses which are to be taken up by the students during the course of their tenure. These interdisciplinary courses include Value Education, Environmental Sciences, NSS/NCC/NSO/Yoga and Aptitude.

Scheme of Assessment:

The assessments for the course are divided into external examination, internal assessment, labs and workshops and industrial training which are taken twice by the students after fourth and sixth semester. Each of these components has a significance in the overall score obtained by the students.

Syllabus:

The syllabus for the eight semesters is:

Paper

Topics Covered

Description

Matrices and Calculus

Matrices, Trigonometry, Differential Calculus, Integral Calculus, Applications

This paper provides the analytical abilities to the students to solve the mathematical problems effectively.

Physics

Mechanical Properties of Solids and Acoustics, Electromagnetic Waves Circuits and Applications, Lasers and Fiber Optics, Quantum Mechanics and Chrystal Physics, Green Energy Physics

This paper focuses on the concepts of physics and helping students become acquainted with them.

Chemistry

Water Treatment, Polymers and Reinforced Plastics, Phase Equilibrium, Lubricants and Adhesives, Corrosion and its Control, Instrumental Methods of Analysis.

The paper deals with the concepts of chemistry essential for the engineering students.

Basic Civil Engineering

Building Materials, Material Properties, Building Components, Surveying and Transportation, Water Supply and Sewage Disposal.

The paper deals with concepts of civil engineering essential for the course.

Multiple Integrals and Differential Equations

Functions of Several Variables, Differential Equations, Multiple Integrals, Vector Calculus, Three Dimensional Analytical Geometry.

The paper is focused on the mathematical education which helps students calculate and analyse better.

Materials Science

Electronic and Photonic Materials, Magnetic and Dielectric Materials, Modern Engineering and Biomaterials, Introduction to Nanoscience and Nanotechnology, Materials Characterisation.

Students are acquainted with concepts related to material science so that they gain the scientific understanding regarding the manipulation of materials.

Principles of Environmental Science

Environmental Education and ecosystems, Environmental Pollution, Waste Management, Biodiversity and its conservation, Environmental Protection.

This course deals with the concepts of environmental science, its conservation and pollution.

Cell Biology

An overview of Cells and Cell Research, Cell Structure and Function, Cell Signaling- Cell Regulation, Diseases of Cells. 

The cell biology deals with the workings of the cells in a body and related aspects to it.

Biochemistry

Introduction, Metabolism of Carbohydrates, Protein Metabolism, Fatty Acid Metabolism and Nucleic Acid Metabolism, Oxidative Phosphorylation.

The focus is to provide an understanding of the functions of various biomolecules and their metabolism.

Programming Using MATLAB

Practicing MATLAB, Data types, Constants, and Variables, Input-Output functions, Polynomial Evaluation, Graphics.

This lab course helps students learn the application of MATLAB.

Basic Mechanical Engineering

Machine Elements, Energy, Manufacturing Processes.

This course focuses on the basic concepts of mechanical engineering.

Basic Electrical Engineering

Fundamentals of DC Circuits, Magnetic Circuits, AC Circuits, Electrical Machines and Measuring Instruments, Electrical Safety, Wiring and Introduction to Power System.

The course deals with ideas about circuit analysis, working principles of machines and measuring instruments.

Basic Electronics Engineering

Electronic Components, Semiconductor Devices, Transducers, Digital Electronics, Communication Systems.

The course deals with the concepts of electronic devices, their working, operation and characteristics.

Engineering Graphics

Fundamentals, Projection of Lines and Solids, Sections and Developments, Pictorial Projections, Building Drawing.

This paper deals with the engineering drawing preparations and interpretations.

Numerical Methods for Bio Informatics

Curve Fitting and Numerical Solution of Equations, Finite Differences and Interpolation, Numerical Differentiation and Integration, Numerical Solutions of Ordinary Differential Equations, Numerical Solutions of Partial Differential Equations.

This paper deals with the analytical abilities in mathematical solutions.

Microbiology

Introduction, Microbial Nutrition, Growth and Metabolism, Microbial Physiology and Genetics, Microbial Infections, Transmission and their mode of Action, Applied Microbiology

Introduction of microbiology through the characteristics of microorganisms, multiplication etc.

Immunology

Overview of Immune System, Antibody Structure and Functions, B Cell Function, Antigen- Antibody Interactions, Cell Maturation, Activation and Differentiation, Immune System in Health and Disease.

The introduction of immunology, the types of immune systems and their mechanism.

Computational Biology

History, Scope and Importance, Databases- Tools and their Uses, Sequence Alignment Methods, Predictive Methods Using DNA and Protein Sequences, Drug Discovery Process.

This paper focuses on providing an elementary knowledge in bioinformatics and biological information.

Bioinformatics Algorithms

Introduction, Greedy Algorithms, Dynamic Programming Algorithms, Graph Algorithms, Clustering and Trees

This paper provides an introduction to the algorithms used in bioinformatics.

Biostatistics

Introduction, Probability and Theoretical Distributions, Testing of Hypothesis, Analysis of Variance, Statistical Quality Control.

The students are taught the concepts of probability and statistics which are helpful for engineering problem solving.

Molecular Biology and Genetics

Structure of Nucleic Acid, DNA Replication and Mutation, Gene Expression and Regulation, Mendelian Genetics, Crossing over and Linkage.

The course is a fundamental understanding of the basic concepts of DNA, RNA, gene regulation and Mendelian Genetics.

Biophysics

Elementary Biophysics, DNA Biophysics, Protein Biophysics, Carbohydrate Biophysics, Techniques in Biophysics.

The focus of the paper is on different types of biophysics with special emphasis on macromolecules and their structural and thermo-dynamical properties.

Database Management Systems

Introduction, Database Design and the E-R Model, Relational Model and its Design Technique, Structured Query Language, Biological Database Management.

Making students aware of the different database management systems and how to manage them.

Programming in C and C++

Introduction to C-Programming, OOP Concepts and C++, C++, Application in Bioinformatics

The aim of this course is to introduce the students the concepts of programming languages of C and C++ and also the practical usage of these languages.

Recombinant DNA Technology

Vectors and Insert, Cloning Technique, Construction of Gene Libraries, Expression of Recombinant Protein in E. Coli., Application of Recombinant DNA Technology.

The focus of the paper is the different strategies of gene cloning and the application of recombinant DNA technology.

Genomics and Transcriptomics

Genomes and their Organisation, Gene Expression Profiling, Gene Regulatory Network and Microarray, Functional and Comparative Genomics, Transcriptomics.

The paper aims at making the students understand the concept of genomes and the different approaches to analyses the genomes.

Molecular Phylogeny and Evolution

Phylogenetic Trees, Methods, Statistical Approach, Ancestral Sequences, Evolution.

The focus of the paper is to understand the phylogeny at the molecular level and the evolution of it.

Perl Programming and Bioperl

Introduction to Linux, Introduction to Perl, Perl Subroutines and Regular Expressions, Perl Modules, Bioperl

The purpose of the course is to understand the concept of perl and the biological problem solving in a basic linux environement.

Immunoinformatics

Sequence Analysis, Methods, MHC-I Prediction, MHC-II Prediction, B Cell Epitope Prediction and Web Sources.

The understanding of immunoinformatics and its application.

Proteomics

An overview of Proteomics, Strategies for Protein Separation, Strategies for Protein Identification Quantitation, Structural Proteomics, Protein Chips.

The course deals with the different concepts of proteomics and their analysis.

JAVA Programming

Introduction, Control Statements, Classes, Methods and Inheritance, Packages, Applets and String Handling, Event Handlings and AWT Controls, Applications of JAVA.

The aim is to acquaint the students with JAVA and help them apply it in bioinformatics.

Chemoinfromatics and Drug Designing

Molecular Modeling in Drug Design, Drug Discovery and Development, Representation of Structures and Molecular Descriptors, Similarity and QSAR Methods, High Throughput and Virtual Screening.

The paper deals with the fundamentals of chemo-informatics and applications of computer aided designing of drugs.

Internet Programming

Internet Basics, HTML, Scripting Languages, XML and XHTML, Server Side Programming, ASP.NET

The paper aims at understanding the various internet programming techniques.

Molecular Dynamics

Basics, Algorithms, Force Field and Interaction Functions, Molecular Dynamics, Monte Carlo and Molecular Dynamics in Various Ensembles.

The aim of the paper is to understand the structure of biomolecules.

Python

Introduction, Control Statements, File Parsing, Sequences and Biopython, Database search using Biopython, Advanced molecules in Biopython.

The aim of this course is to introduce the concept of python and its applications.

Ethical Issues, Research Methodology and Intellectual Property Rights

Biosafety and GMOs in India, Biosafety- Regulatory Framework for GMOs, Bioethics, Research Methodology, Intellectual Property Rights.

The course is designed such that students are made aware of the aspects of research methodology and helpful for research in bioinformatics.

Electives:

Metabolomics and Metabolic Engineering

Introduction to Metabolomics, Bioinformatics in Metabolomics, Introduction to Metabolic Engineering, Metabolic Flux Analysis and its Application, Metabolic Networks

The course provides an understanding of the applications of bioinformatics techniques.

Data Structures

Linear Data Structures, Non-Linear Data Structures, Sorting Methods, Graph Algorithms, Searching

The aim is to learn about the basics of data structuring.

Structural Chemistry

Chemical Bonding, Theory of Chemical Bonding, Chemistry of Carbohydrate, Proteins, Stereo Chemistry, Confirmational Analysis.

The introduction of chemical compounds that are important for chemoinformatics.

Pharmacogenomics and Pharmacogenetics

Introduction, Pharmacogenetics, Drug Response, Single Nucleotide Polymorphism, Sage.

The aim is to get an in-depth understanding of Pharmacogenomics and Pharmacogenetics

Genetic Algorithms

Introduction, GA Operators, Applications of GA, Introduction to Genetics- Based Machine Learning, Applications of Genetics-Based Machine Learning

The purpose of the course is to understanding the genetic algorithms and its application.

Achievements is Biotechnology and Bioinformatics

Introduction to new horizons in Biotechnology and Bioinformatics, Plant and Agriculture Biotechnology, Industrial, Food and Medical Biotechnology, Environmental Biotechnology, Bioaugmentation, Biostimulation, Current State of Genetically Modified Organism

This course helps introduce the major achievements in the fields of biotechnology and bioinformatics.

Biospectroscopy

Fundamentals of Spectroscopy, X-Ray Chrystallography, Circular Dichroism, Optical Rotary Dispersion and Fluorescence Polarization, Principles of Nuclear Magnetic Resonance and Electron Spin Resonance, Mass Spectrometry

The paper is about the in-depth knowledge of the spectroscopy methods used.

Medical Informatics

Introduction, Knowledge-Based and Expert Systems, Modules, Computer Assisted Surgical Techniques, Telecommunications Based Systems

The application of information technology in the medical field.

Computational Neuroscience

Introduction, Spiking Neurons and Response Variability, Feed-Forward Mapping Networks, Auto- Associative Memory and Network Dynamics, Supervised Learning and Reward Systems, Case Study

The basics of computational neuroscience are the main focus of this paper.

Protein Engineering

Primary and Secondary Structure, Receptors, Engineering of Macromolecules, Data Analysis Methods, Methods of Protein Engineering.

Advanced study of protein structures, its characteristics and its significance.

Microarray- Techniques and Applications

Introduction, Computer Design of Oligonucleotide Probes, Normalisation, Analysis, Experimental Design.

The focus of the paper is to analyse the genome through the process of miniaturization technology and computational analysis.

Neural Networks

Introduction, Perceptrons, Pattern Associators and Feedforwarding Networks, Extension and Advanced Topics, Competitive and Self- Organisation Networks

The paper is a study of the artificial neural networks and its applications.

Cancer Biology

Fundamentals of Cancer Biology, Principles of Carcinogenesis, Principles of Molecular Cell Biology of Cancer, Principles of Cancer Metastasis, New Molecules for Cancer Therapy.

The paper is a study of the biological concepts of cancer.

Systems Biology

Introduction, Metabolism in Systems Perspective, Biological Processes, Oscillation and Evolution, Applications and Tools

The purpose of the course is to acquaint the students with the concept of systems biology with its applications.

Artificial Intelligence

Introduction, Search Method, Logical Reasoning Systems, Reasoning Under Uncertainty, Planning and Learning.

The deep understanding of the concepts related to artificial intelligence.

Gene Therapy

General Principles of Gene Therapy, DNA- Based Gene Therapy, Retroviral and Adenoviral Vectors, Adeno-Associated Virus- Based Vectors, Cancer Gene Therapy

The purpose is to make the students understand the general principles of modern approaches to treat genetic diseases and cancer.

The syllabus also includes various laboratory courses and internships which are compulsory for every student to attend in order to successfully complete the degree course.

.

Name of the College

City, State

Coimbatore, Tamil Nadu

Thanjavur, Tamil Nadu

Amity University

Noida, Uttar Pradesh

Lucknow, Uttar Pradesh

Gurgaon, Haryana

Jaipur, Rajasthan

Sam Higginbottom Institute of Agricultural Technology and Sciences

Allahabad, Uttar Pradesh

Sathyabama University

Chennai, Tamil Nadu

Aryabhatta Knowledge University

Patna, Bihar

Agricultural Engineering College and Research Institute

Coimbatore, Tamil Nadu

SRM University

Kanchipuram, Tamil Nadu

Graphic Era University

Dehradun, Uttarakhand

Padmashree Dr. DY Patil University

Mumbai, Maharashtra

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