B.Tech (Bioinformatics)

Graduate Programmes

APPLY NOW 2019 Admissions

Program Code 11042

Course Overview

  • Campus
  • Lucknow
  • Institute
  • Amity Institute of Biotechnology, Lucknow
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 11042
  • Eligibility
  • PCB or PCM (min. 60%)

  • Duration
  • 4 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.87
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.87
  • The student shall be able to assemble knowledge in order to attain professional excellence and contribute to development in upcoming areas of bioinformatics.
  • The student shall be able to develop an aptitude for exploration and investigation of problems in the area of bioinformatics.
  • The student shall be able to identify problems and prepare solutions in the form of workflows and algorithms in bioinformatics.
  • The student shall use research based knowledge, learn the usage of scientific literature and proven methodology for deriving valid conclusions.
  • The students shall show effective communication skills to disseminate technical information and ability to write effective reports for professional and societal impact.
  • The student shall be able to demonstrate interpersonal skills and team spirit in various individual as well as team activities like debates, seminars.
  • The student shall be able to develop skill set to be a responsible global citizen.
  • The student shall apply commitment to ethical practice and social responsibility by following bioethical principles and cultural values.
  • The student shall be able to develop decision making capability and management skills in order to handle various projects in bioinformatics.
  • The student shall be able to develop networking skills and inculcate the habit of life- long learning.
  • The student shall be able to apply taught concepts to undertake practical, environmental and professional work thereby improving employment and entrepreneurial skills.
  • The student shall be able to translate the bioinformatics based knowledge and expertise to the benefit of society.
  • The student will demonstrate an understanding of knowledge and skills including new developments in key areas of bioinformatics with relevance to the profession of bioinformatics.
  • The student will be able to demonstrate practical that involve problem solving and learn how to make decisions regarding choice of tools/algorithms.
  • The student will develop analytical aptitude for cutting edge areas of bioinformatics.
  • The student will apply understanding of research based knowledge and scientifically validated methods to provide valid conclusions.
  • The student will develop skills to make effective and appropriate communication in both professional and social contexts.
  • The student will be able combine individual contribution and team work for various activities to produce an outcome.
  • The student will analyze new concept and apply them using technology based tools.
  • The student will develop and imbibe ethical principles which give deep insight to be culturally sensitive and socially responsible.
  • The student will demonstrate capability for management, team work, leadership and decision making based on open mindedness, objectivity and reasoned analysis in order to achieve targets.
  • The student will develop attitude, aptitude and ability to engage in lifelong learning.
  • The student will apply the concepts of knowledge gained in bioinformatics for designing efficient environmentally sustainable technologies.
  • The student will be able to apply bioinformatics knowledge to solving problems in the society.

Course Structure

  • 1st Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Economics for Engineers (UG) Human Social Sciences & Management Courses 2 0 0 0 2.00 View
Sociology for Engineers (UG) Human Social Sciences & Management Courses 1 0 0 0 1.00 View
Applied Mathematics- I (UG) Basic Sciences Courses 3 0 0 0 3.00 View
Applied Physics - I for Life Science (UG) Basic Sciences Courses 2 1 2 0 4.00 View
General Chemistry (UG) Basic Sciences Courses 2 1 2 0 4.00 View
Basic Electrical Engineering (UG) Engineering Sciences Courses 2 1 2 0 4.00 View
Engineering Graphics Lab (UG) Engineering Sciences Courses 0 0 2 0 1.00 View
Introduction to Computers and Programming in C (UG) Basic Sciences Courses 2 0 2 0 3.00 View