Course Name: Effective Engineering Teaching in Practice

Course abstract

Traditionally, teachers are not trained to teach professional courses. Thus, they learn even the essential principles of teaching through experience, ‘on the job’. This leads to a less than satisfactory in-class learning experience for most students in many courses, except if the teacher has a natural orientation to teaching. This course is aimed to introduce the essentials of facilitation of student learning (‘teaching’) in an interesting way to any teacher of professional courses, with a special focus on engineering. Further, education is a vast, old area of research, with rigorous, evidence-based knowledge that is useful for the facilitation of learning. However, the knowledge is not in an easily accessible form for teachers without experience in education research. This course also aims to begin bridging that gap, by appropriately introducing research in education to engineering teachers.


Course Instructor

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Prof. G. K. Suraishkumar

Prof. Suraishkumar G K is a Professor in the Department of Biotechnology, Indian Institute of Technology Madras (IITM). He has been at IITM as a Professor since May 2004, and was earlier a faculty member in the Department of Chemical Engineering at the Indian Institute of Technology Bombay (IITB) from April 1993 until mid-May 2004. He was also an Associate Faculty member in the erstwhile Centre for Biotechnology, which is now the Department of Biosciences and Bioengineering, at IITB, between 1995 and 2004. He earned his Ph.D. from Drexel University, Philadelphia, USA in 1993, and his B.Tech. in Chemical Engineering from IITM in 1986. He also did his Masters work at the University of Cincinnati, USA, between 1986 and 1988.
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Prof. Edamana Prasad

E. PRASAD, Head, Teaching Learning Centre (TLC) and Associate Professor, Department of Chemistry, Indian Institute of Technology Madras, Chennai 600 036, INDIA
Phone: ++91-44-2257 4232 ; Email: pre@iitm.ac.in
Educational Qualification: BSc., & MSc. From Calicut University, Kerala, India during 1990-1995; Ph.D. from NIIST, Thiruvananthapuram, Kerala, India in Photophysical Chemistry in 2000.Post Doctoral Research Experience: (2001 to 2006) Texas Tech University & Lehigh University, USA and University of Bonn, Germany (Alexander von Humboldt Fellow)
Professional Experience (11 years): Faculty at Department of Chemistry, IIT Madras since 2006; (8 years): Core team member, Teaching Learning Centre, IIT Madras; (3 years): Head, Teaching Learning Centre, IIT Madras. Specialization and Expertise: Chemistry: Photophysical Chemistry, Design and Synthesis of organic and hydro gelators for various applications; Education/Teaching: Designing Learning Outcomes for Courses, Conducting Classes using Active and Collaborative Learning Techniques.Awards and Distinctions: AvH Fellowship (2002), Young Faculty Recognition Award (IIT Madras, 2011).Research Publications in Peer Reviewed Journals: 65.Conference Paper: Development of a Teaching Learning Centre and Ongoing Faculty Development Programs - A Case Study, Prasad Edamana, Ajith Kumar Kolar, Pramod S Mehta, Sujatha Srinivasan and Jeffrey Froyd, American Society for Engineering Education, USA, June, 2012.


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Prof. Richa Verma

Richa Verma (TLC)

Professional summary
Currently I work as Senior Project Officer, at Teaching Learning Centre- IIT- Madras. For last 4 years I was faculty in Vision Science at the School of Medicine, Deakin University, Australia. Since 2013, I have been actively involved in optometry education at Deakin University where hybrid model of Problem Based Learning (PBL) is used for the entire course. During this time, I have gained experience in curriculum design, assessment and various pedagogies. I have also received formal training in Designing, Teaching and Assessing Higher Education Programs My area of research is Visual neuroscience with specific focus on retinal physiology. I completed my PhD at The University of Melbourne and post-doctoral fellowship in Visual Neuroscience at Monash University, Australia. I graduated as an optometrist from the Birla Institute of Technology and Science, Pilani, India. Since then, I have used various experimental models to understand the nuances of the visual system ranging, from psychophysics, electrophysiology in humans to single-unit electrophysiology in non-human primates.

Key attributes
In unique position with specialized training in pedagogical teaching strong research background in optometry & vision science.Research area- retinal physiology & anatomy,system neuroscience Formal training in: Designing, Teaching and Assessing Higher Education Programs Contextualizing Learning and Teaching in Higher Education Higher Degree Research Supervision Team Based Learning Designing of formative and summative assessment tasks .
Experience in: Curriculum development Running of Problem Based learning Team based learning Flip Classrooms Published papers in international peer reviewed journals
Reviewer for peer reviewed journals and Australian Research Council (ARC) grant applications


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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Feb 2021

  View Course

 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Feb-2021

 Exam Date : 21-Mar-2021

Enrolled

1590

Registered

558

Certificate Eligible

475

Certified Category Count

Gold

15

Silver

194

Elite

200

Successfully completed

66

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 3 out of 4 assignments. Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score.
    Note:
    We have taken best assignment score from both Jan 2020 and Jan2021 course
Effective Engineering Teaching in Practice - Toppers list
Top 1 % of Certified Candidates

ANUPAMA NANDAN 97%

SHAILENDRA SINGH 93%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

VIPUL DIXIT 92%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

MILTON A 92%

ST.XAVIERS CATHOLIC COLLEGE OF ENGINEERING

N KARUPPIAH 91%

VARDHAMAN COLLEGE OF ENGINEERING

J RAJESH BABU 91%

K L N COLLEGE OF ENGINEERING

DIVYA NARSINH PANCHOTIA 91%

Government Engineering College, Rajkot

AASHISH AINATH JOSHI 91%

KARMAYOGI ENGINEERING COLLEGE SHELVE PANDHARPUR


Top 2 % of Certified Candidates

H VIDHYA 90%

SRI RAMAKRISHNA ENGINEERING COLLEGE

JYOTI PANDEY 90%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

ANIKET NAGARGOJE 90%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

RUPAK BHATTACHARJEE 90%

JIS COLLEGE OF ENGINEERING

DUVUR HIMA BINDU 90%

YSR ENGINEERING COLLEGE OF YOGI VEMANA UNIVERSITY

AMIT NARSHIBHAI JOISAR 90%

Government Polytechnic Jamnagar

J SATHYA SREE 90%

VIT UNIVERSITY CHENNAI


Top 5 % of Certified Candidates

HARINDRA VARMA BADARVADA 88%

ADUSUMILLI ASWARDHANARAYANA MURTHY & VALLURUPALLI VENKATA RAMA SESHADRI RAO POLYTECHNIC

ABHIJIT JOSHI 88%

DWARKADAS J.SANGHVI COLLEGE OF ENGINEERING

SUDIPTA GHOSH 88%

JALPAIGURI GOVT. ENGINEERING COLLEGE

DR K V M ACHUTA RAMIAH 88%

Lakireddy Bali Reddy College of Engineering

BALAMANI G 88%

MADRAS INSTITUTE OF TECHNOLOGY

G SUDHA 88%

SRI SAI RAM ENGINEERING COLLEGE

RUBIA GANDHI R R 87%

SRI RAMAKRISHNA ENGINEERING COLLEGE

SMITH KASHIRAM KHARE 87%

PANDIT DWARKA PRASAD MISHRA INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING (IIITDM), JABALPUR

SHIMOL PHILIP 87%

SAINTGITS COLLEGE OF ENGINEERING

PRACHI HEMANT KULKARNI 87%

INDIAN INSTITUTE OF TECHNOLOGY,BOMBAY

Enrollment Statistics

Total Enrollment: 1590

Registration Statistics

Total Registration : 558

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.