Course Name: Electronic Systems for Cancer Diagnosis

Course abstract

This course is designed with an aim of educating students on the process flow for designing electronic systems for tissue-based cancer diagnosis. An exposure towards developing strategies to discriminate pathological cells from normal ones based on the electrophysiological properties of cells. Design and integrate biochip with electronic module for understanding the electro-thermo-mechanical properties of tissues. microtechnology and its use to fabricate sensors and systems. Students will have an exposure towards how to fabricate the sensors and its application in real world. Several examples of engineering devices used in clinical research will be also covered. Both conventional (class 1000) and non-conventional (class 10000) clean room and some equipment within it will also be shown. Below are some of the course outcomes. The first objective of this course is to understand cancer and its properties: Breast Cancer and Oral Cancer The second objective is to educate the students on the process flow for designing electronic systems for tissue-based cancer diagnosis The third objective is to develop skills to design electronic systems for cytology-based studies Fourth objective is to develop skills to integrate biochips with electronic system for cancer diagnosis The fifth objective is to understand how to work in a conventional (class 1000) and non-conventional (class 10000) clean room environment and understand several equipments The final objective is to learn and understand in detail how to design electronic systems with the preexisting knowledge of basic electronics and to add on the 3D printing skills.


Course Instructor

Media Object

Prof.Hardik Jeetendra Pandya

• Biodata (Self Introduction): Dr. Hardik J. Pandya is an assistant professor in the Department of Electronic Systems Engineering, Division of Electrical Sciences, IISc Bangalore where he is developing Advanced Microsystems and Biomedical Devices Facility for Clinical Research and Biomedical and Electronic (10-6-10-9) Engineering Systems Laboratory to carry out cutting-edge research on novel devices to solve unmet problems in biology and medicine. He is recipient of prestigious Early Career Research Award from Science and Engineering Research Board, Government of India as well as a start-up grant of 228 Lacs from IISc. He has taught Design for Analog Circuits, Analog Integrated Circuits, VLSI technology, and Semiconductor Devices to undergraduate and graduate students from Electronic Engineering, Instrumentation Engineering, and Applied Physics.
More info

Teaching Assistant(s)

Rathin Joshi

M.Tech., VLSI and Embedded System

SUMAN CHATTERJEE

M.Tech., Microelectronics and VLSI

Vishnu Priya Parepalli

B.Tech, ECE

 Course Duration : Jan-Apr 2019

  View Course

 Syllabus

 Enrollment : 15-Nov-2018 to 28-Jan-2019

 Exam registration : 28-Jan-2019 to 19-Apr-2019

 Exam Date : 28-Apr-2019, 28-Apr-2019

Enrolled

2083

Registered

140

Certificate Eligible

119

Certified Category Count

Gold

0

Silver

6

Elite

57

Successfully completed

56

Participation

3

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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
Electronic Systems for Cancer Diagnosis - Toppers list
Top 1 % of Certified Candidates

RAJESH P 79%

S.R.M. INSTITUTE OF SCIENCE AND TECHNOLOGY


Top 2 % of Certified Candidates

PROBIR KUMAR DHAR 77%

BENGAL COLLEGE OF ENGINEERING & TECHNOLOGY

LIJIN ITTY CHERIAN 77%

MAR ATHANASIUS COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

M.POORNIMA DEVI 75%

KALASALINGAM ACADEMY OF RESEARCH AND EDUCATION

KAVIMALAR.V 75%

VELALAR COLLEGE OF ENGINEERING AND TECHNOLOGY

SUNIL BIST 75%

LINGAYAS VIDYAPEETH

Enrollment Statistics

Total Enrollment: 2083

Registration Statistics

Total Registration : 140

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.