Bioinformatics

Program Educational Objectives (PEO)

The B.Tech. Bioinformatics program at SASTRA envisions creating a knowledge hub of graduates who can address key challenges in handling, analyzing and interpreting biological data by integrating mathematics, information technology and biology.

The programme education objectives of B. Tech. Bioinformatics degree programme are: 

  • To impart fundamental concepts and principles of science and engineering 
  • To provide a broad base of knowledge in information technology, mathematics and biology and in-depth knowledge of at least one area of biology and understanding of biological data generation technologies 
  • To equip students with ability to combine biology, information technology and mathematics towards problem solving. 
  • To inculcate a sense of scientific curiosity and self-learning abilities to make them life-long learners. 
  • To create individuals who possess ability to effectively communicate with a range of audience possessing varying degrees of scientific knowledge 
  • To develop interpersonal skills to work as a team in a multidisciplinary front to accomplish a common goal 
  • To equip the graduates with time and project management capabilities 
  • To create ethical professionals with social responsibility and legal awareness

 

Program Specific Outcomes (PSO): 

Upon completion of the program, the graduates will be able to, 

  • Apply the broad base of knowledge in information technology, mathematics, biology and computational tools for biological data generation and solving problems of significant academic/ industrial interest 
  • Create biological data repositories, web applications and tools/algorithms utilising multimodal data including from omics technologies and advancing biomedical data science 
  • Build, simulate and interpret dynamic models of complex biological systems furthering basic and applied research 
  • Work in a multidisciplinary team with effective communication and interpersonal skills to accomplish a common goal while keeping in mind professional ethics, economics, sustainability and society

 

B. Tech. in Bioinformatics
(For students admitted from 2019 –20)
Semester I (25 Credits)

Course Code

Course Name

No of Contact

Hours / Week

Credits

L

T

P

ENG101R01/

BIT101R01

Technical Communication

Biology for Engineers

1

0

2

2

2

0

0

MAT101R01

Engineering Mathematics & I

3

1

0

4

CSE101

Problem Solving & Programming in C

3

0

2

4

PHY101R01/

CHY101

Engineering Physics /

Engineering Chemistry

3

0

2

4

3

0

2

4

EEE101 /

EIE101R01

Basic Electrical Engineering /

Basic Electronics Engineering

2

0

2

3

2

0

2

3

CIV101/

MEC101

Basic Civil Engineering /

Basic Mechanical Engineering

2

0

2

3

2

0

2

3

CIV102 /

CIV103

Engineering Mechanics /

Engineering Graphics

2

1

0

3

1

0

4

3

MEC102

Introduction to Engineering Design

2

0

0

2

TOTAL

Group I(Technical Communication, Physics, Electrical, Civil, Mechanics & Design)

18

2

10

25

Group II (Biology, Chemistry, Electronics, Mechanical & Graphics)

15

1

14

23

Semester II (23 Credits)

Course Code

Course Name

No of Contact

Hours / Week

Credits

L

T

P

ENG101R01/

BIT101R01

Technical Communication

Biology for Engineers

1

0

2

2

2

0

0

MAT102R01

Engineering Mathematics & II

3

1

0

4

CSE201

Object Oriented Programming in C++

3

0

2

4

PHY101 R01/

CHY101

Engineering Physics /

Engineering Chemistry

3

0

2

4

3

0

2

4

EEE101 /

EIE101R01

Basic Electrical Engineering /

Basic Electronics Engineering

2

0

2

3

2

0

2

3

CIV101/

MEC101

Basic Civil Engineering /

Basic Mechanical Engineering

2

0

2

3

2

0

2

3

CIV102 /

CIV103

Engineering Mechanics /

Engineering Graphics

2

1

0

3

1

0

4

3

MEC102

Introduction to Engineering Design

2

0

0

2

TOTAL

Group I (Biology, Chemistry, Electronics, Mechanical, &Graphics)

15

1

14

23

Group II (Technical Communication, Physics, Electrical, Civil, Mechanics & Design)

18

2

10

25

Semester III (24 Credits)

Course Code

Course Name

Hours / Week

Credits

L

T

P

MAT201

Engineering Mathematics - III

3

1

0

4

BIT108

Biological Sciences - I

3

0

0

3

BIN101

Introduction to Bioinformatics

3

0

2

4

ICT101

Data Structures & Algorithms

4

0

0

4

INT204

Linux & PERL

3

0

2

4

INT102

Database Management systems

3

0

0

3

BIT109

Biological Sciences Laboratory - I

0

0

2

1

INT103

Database Management systems Laboratory

0

0

2

1

TOTAL

19

1

8

24

Semester IV (23 Credits)

Course Code

Course Name

Hours / Week

Credits

L

T

P

MAT301

Engineering Mathematics & IV

3

1

0

4

BIT110

Biological Sciences & II

3

0

0

3

BIN201

Structural Bioinformatics

2

1

2

4

BIN202

Algorithms in Bioinformatics

2

1

2

4

BIN304

Python Programming for Biologists

2

1

2

4

BIN309/BIN313

Department Elective & 1:

Clinical Informatics /Microbial Genomics

3

0

0

3

BIT111

Biological Sciences Laboratory - II

0

0

2

1

TOTAL

15

4

8

23

Semester V (22 Credits)

Course Code

Course Name

Hours / Week

Credits

L

T

P

MAT306

Probability & Biostatistics

3

1

0

4

CHY225

Medicinal Chemistry

2

1

0

3

BIN301

Molecular Modelling

2

1

0

3

BIN206

Fundamentals of Genomics & Proteomics

3

0

0

3

BIN208

Web Technologies for Bioinformatics

3

0

2

4

BINXYZ

Department Elective & 2

3

0

0

3

BIN302

Molecular Modelling Laboratory

0

0

2

1

TNP101

Soft Skills & I

0

0

2

1

TOTAL

16

3

6

22

Semester VI (22 Credits)

Course Code

Course Name

Hours / Week

Credits

L

T

P

BIN401

Statistical Applications in Bioinformatics

2

1

0

3

BIN303

Protein Engineering

2

1

0

3

BIN209

Next Generation Sequencing Methods

3

0

0

3

BIN203

Introduction to Data mining & Machine Learning for Bioinformatics

1

2

0

3

BINXYZ

Department Elective & 3

3

0

0

3

BINXYZ

Department Elective & 4

3

0

0

3

BIN402

Statistical Methods in Bioinformatics Laboratory

0

0

2

1

BIN210

Next Generation Sequencing Methods Laboratory

0

0

2

1

BIN397

Seminar

0

0

2

1

TNP102

Soft Skills II

0

0

2

1

TOTAL

14

4

8

22

Semester VII (20 Credits)

Course Code

Course Name

Hours / Week

Credits

L

T

P

BIN305

Drug Design

3

0

0

3

BIN307

Gene expression Data Analysis

3

0

0

3

INT414

Big Data Analytics in Bioinformatics & Healthcare

3

0

0

3

BINXYZ

Department Elective & 5

2

1

0

3

BINXYZ

Department Elective & 6

2

1

0

3

BIN306

Drug Design Laboratory

0

0

2

1

BIN308

Gene expression Data Analysis Laboratory

0

0

2

1

BIN300

Mini Project

0

0

4

2

MAN105

Professional ethics

0

0

2

1

TOTAL

13

2

10

20

Semester VIII (21 Credits)

Course Code

Course Name

Hours / Week

Credits

L

T

P

BIN400

Project Work & Viva Voce

0

0

24

12

OEXXYZ

Open Elective

3

0

0

3

OEXXYZ

Open Elective

3

0

0

3

OEXXYZ

Open Elective

3

0

0

3

TOTAL

9

0

24

21

Partial List of Proposed Electives

Course Code

 

Course Name

Hours / Week

Credits

L

T

P

BIN309

Clinical informatics

3

0

0

3

BIN310

Medical image processing & analysis

2

1

0

3

BIN311

Systems Modelling

3

0

0

3

BIN312

Cheminformatics

3

0

0

3

BIN313

Microbial Genomics

3

0

0

3

BIN314

Experimental structure data analysis

2

1

0

3

BIN315

Immunoinformatics

3

0

0

3

BIN316

Computational Neuroscience

3

0

0

3

BIN317

Pharmacogenomics

3

0

0

3

BIN318

Deep Learning Methods for Bioinformatics

3

0

0

3

BIN319

Structural Genomics

2

1

0

3

BIN320

Principles of Biological Network Science

2

1

0

3

BIN321

Synthetic Biology

2

1

0

3

Cluster & 1: Clinical Informatics / Cheminformatics / Immunoinformatics

Cluster & 2: Medical Image Processing and Analysis / Experimental structure data analysis / Deep Learning Methods for Bioinformatics

Cluster & 3: Systems Modelling / Principles of Biological Network Science / Synthetic Biology/Computational Neuroscience

Cluster & 4: Microbial Genomics / Pharmacogenomics / Structural Genomics

Academic

Contact

SASTRA DEEMED UNIVERSITY
Tirumalaisamudram
Thanjavur - 613401
Tamilnadu, India

+91 4362 264101 - 108
        304000 - 010
+91 4362 264120

admissions@sastra.edu