Bachelor of Technology (B.Tech.) in Bioinformatics Course at Sharda University (SU), Greater Noida Syllabus & Subjects Semester Wise

The Bachelor of Technology (B.Tech.) in Bioinformatics syllabus at Sharda University (SU), Greater Noida is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Technology (B.Tech.) in Bioinformatics faculty at Sharda University (SU) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Technology (B.Tech.) in Bioinformatics at Sharda University (SU), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Technology (B.Tech.) in Bioinformatics syllabus at Sharda University (SU), Greater Noida maintains a balance between theoretical knowledge and practical knowledge.

Bachelor of Technology (B.Tech.) in Bioinformatics first year students at Sharda University (SU) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Sharda University (SU), Greater Noida also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Bachelor of Technology (B.Tech.) in Bioinformatics syllabus at Sharda University (SU), Greater Noida is also frequently updated to give industry relevant training and knowledge to students. Sharda University (SU) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Sharda University (SU) enable Bachelor of Technology (B.Tech.) in Bioinformatics students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Bachelor of Technology (B.Tech.) in Bioinformatics progress, students learn advanced topics and complex concepts. The Bachelor of Technology (B.Tech.) in Bioinformatics curriculum at Sharda University (SU), Greater Noida mainly focuses on analytical and critical thinking. As the Bachelor of Technology (B.Tech.) in Bioinformatics course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Technology (B.Tech.) in Bioinformatics at Sharda University (SU) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Bachelor of Technology (B.Tech.) in Bioinformatics curriculum at Sharda University (SU) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Technology (B.Tech.) in Bioinformatics syllabus at Sharda University (SU) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Sharda University (SU)

Workshops and Seminars - Regular sessions with industry experts help Bachelor of Technology (B.Tech.) in Bioinformatics students at Sharda University (SU) to stay updated with current trends.
Group Projects - Collaborative projects according to Sharda University (SU) syllabus develop teamwork and problem-solving skills.
Case Studies - Bachelor of Technology (B.Tech.) in Bioinformatics syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
Extracurricular Activities - Sharda University (SU) offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Sharda University (SU), Greater Noida for latest Bachelor of Technology (B.Tech.) in Bioinformatics curriculum.

Syllabus and subjects in B.Tech Bioinformatics

A B.Tech program in Bioinformatics typically offers a curriculum that combines biology, computer science, and mathematics to provide students with the skills and knowledge necessary to analyze and interpret biological data. The syllabus often includes subjects such as molecular biology, genetics, data structures, algorithms, statistical analysis, database management, computational biology, genomics, proteomics, structural bioinformatics, and bioinformatics tools and software. Students may also engage in practical work and projects involving the analysis of biological data sets, sequence alignment, and the development of bioinformatics algorithms. This program equips graduates with the expertise needed to work in various roles in the field of bioinformatics, including genomics research, drug discovery, and data analysis in biomedical research, contributing to advancements in our understanding of biology and healthcare. Please note that specific course offerings may vary between universities, so it's advisable to check with the institution offering the program for their detailed and up-to-date syllabus.

Year 1st OR 1st and 2nd Semester Syllabus of Bachelor of Technology (B.Tech.) in Bioinformatics

S.No	Subjects
1	English and Technical Communication
2	Basic Mathematics
3	Fundamental Biology
4	Basic Engineering Physics
5	Engineering Graphics
6	Basic Electrical Sciences
7	Data Structure & Algorithms
8	Basic Electrical Sciences

Year 2nd OR 3rd and 4th Semester Syllabus of Bachelor of Technology (B.Tech.) in Bioinformatics

S.No	Subjects
1	Interpersonal Dynamics Values and Ethics
2	Cell and Molecular Biology
3	Bioinformatics Data Management
4	Microbiology & Immune System
5	Microbiology & Immune System
6	Finance and Accounts
7	Bio-Statistics
8	Structural Biology
9	Programming Languages for Bioinformatics

Year 3rd OR 5th and 6th Semester Syllabus of Bachelor of Technology (B.Tech.) in Information Technology Engineering

S.No	Subjects
1	Project Management and Entrepreneurship
2	Design and Analysis of Algorithms
3	Bioprocess Engineering
4	Scripting Languages for Bioinformatics
5	Machine Learning for Bioinformatics
6	Computer Aided Drug Design

Year 4th OR 7th and 8th Semester Syllabus of Bachelor of Technology (B.Tech.) in Information Technology Engineering

S.No	Subjects
1	Indian Constitution
2	Structural Bioinformatics
3	Comparative & Functional Genomics
4	Advanced Algorithms for Bioinformatics
5	Data Ware housing and Mining for Bioinformatics