Course Name: Genetic Engineering: Theory And Application

Course abstract

In the current MOOCs course I have put effort to briefly discuss about biotechnology, its scope and impact on human life with several customized products. The Development of technology and generation of product has multiple steps and understanding these steps are being covered in this course with a discussion of biotechnology application at the end. By the end of this course, student will be able to understand following aspects of biotechnology: 1. Basic metabolic pathways and their regulation. 2. Microbial growth kinetics with an emphasis on fermentation 3. Basic molecular biology tools used in biotechnology. 4. Basic methodology for product recovery and analysis.


Course Instructor

Media Object

Prof.Vishal Trivedi

Dr. Trivedi did his Ph.D. from Central Drug Research Institute, Lucknow in the field of Structural Biology. From his postdoctoral research at the Department of Molecular and Cellular Biology, Harvard University and Molecular Oncology Research Institute, Tufts University, Boston, USA, he gained extensive research experience in the field of cell biology, intracellular signal transduction, and immunology. Currently, his laboratory at Department of Biosciences and Bioengineering has an active group working and exploring questions related to malaria parasite biochemistry, the role of novel proteins, development of anti-malarial agents, and lastly understanding factors playing a crucial role in immunomodulation and host pathology in different organs.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Dec 2020
  View Course
 Enrollment : 20-May-2020 to 21-Sep-2020
 Exam registration : 14-Sep-2020 to 02-Nov-2020
 Exam Date : 19-Dec-2020

Enrolled

4098

Registered

413

Certificate Eligible

342

Certified Category Count

Gold

26

Silver

133

Elite

140

Successfully completed

43

Participation

20

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Genetic Engineering: Theory And Application - Toppers list
Top 1 % of Certified Candidates

DR ASHIMA KATHURIA 97%

MEERUT INSTITUTE OF ENGINEERING & TECHNOLOGY

VANI GUPTA 95%

Panjab university, Chandigarh

RACHNA BEHL 95%

PANJAB UNIVERSITY


Top 2 % of Certified Candidates

MOHAMMAD 94%

Indian Institute of Technology,Roorkee

AASTHA GULERIA 94%

Panjab University

PARVATHI SATHEESH 94%

BANARAS HINDU UNIVERSITY

ADITI 94%

Department of Biochemistry, Panjab University

TRASVI SHARMA 94%

Panjab University

ANUSHKA KOCHAR 94%

BRILAL BIYANI SCIENCE COLLEGE AMRAVATI


Top 5 % of Certified Candidates

DEVANSHI 93%

Panjab University , Chandigarh

ROHINA BASHIR 93%

SRIJANI MITRA 92%

Presidency University

BIKI SAHA 91%

BANARAS HINDU UNIVERSITY

DR PAVITHRA AMRITKUMAR 91%

WOMEN`S CHRISTIAN COLLEGE, CHENNAI

TANYA 91%

Panjab University

PRIASHA KARMAKAR 91%

PRESIDENCY UNIVERSITY

BIDITA SAMANTA 90%

KALINGA INSTITUTE OF INDUSTRIAL TECHNOLOGY

DIKSHA KASHYAP 90%

Dr. D.Y Patil Biotechnology and Bioinformatics Institute

SHRUTI SRINIVASAN 90%

Rajalakshmi engineering college

RUCHIRA DAN 90%

TRIPURA UNIVERSITY

SONIA 90%

BANARAS HINDU UNIVERSITY

KHUSHI CHOUHAN 90%

LACHOO MEMORIAL COLLEGE OF SCIENCE & TECHNOLOGY (AUTONOMOUS)

TOUFIQUE SHAHNOWAZ 90%

BANARAS HINDU UNIVERSITY

DISHA SHARMA 90%

Babasaheb Bhimrao Ambedkar University(A Central University),Lucknow

N ADITI 90%

POORNAPRAJNA COLLEGE

ANIRBAN BHATTACHARYA 90%

ISWAR CHANDRA VIDYASAGAR COLLEGE, BELONIA

Enrollment Statistics

Total Enrollment: 4098

Registration Statistics

Total Registration : 413

Assignment Statistics



Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.