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:
Program Specific Outcomes (PSO):
Upon completion of the program, the graduates will be able to,
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