The document provides information on the teaching faculty and students of the B.Ed degree programme offered at Cheran College of Education in Punnamchthram. It lists 10 faculty members, their dates of birth, qualifications, subjects taught, and university approvals. It also provides a list of 100 students enrolled in the 2018-2019 academic year for the B.Ed programme, including their names, dates of birth, gender, community, qualifying exam percentage, and registration numbers.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Cheran BEd College Karur - Staff and Student details
1. Form – A
College Code: 11010
College name: CHERAN COLLEGE OFEDUCATION,PUNNAMCHTHRAM
PRINCIPAL
1 Name of the Principal Dr. R. SUMATHI
2 Date of birth 16/07/1971
3 Mobile No. 9344675250
4 Email. Id sumaramas@gmail.com
5 Date of Joining 01/02/2016
6 Educational Qualifications
M.A., M.Ed., M. Phil., Ph. D., M.Sc (Phy)
M.Sc., (Psy)
7 Ph. D./NET/SLET qualification Ph. D Awarded in 2014
8 Teaching Experiences 10
9 Scale of Pay Rs. 40,000
10 University’s Staff approval Ref. No
No.TNTEU/R/QA/B.Ed/11010/2016-
17/144
2. Format - B
TEACHING FACULTY CURRENTLY WORKING FOR THE TEACHER EDUCATION PROGRAMMES
OFFERED IN THE COLLEGE
B.Ed degree programme with an annual intake of 100 students
(NCTE’s Recognition order No. & Date: SRO/SRCAPP46/B.Ed/TN/2014 -15/62554,18/03/2015)
Assistant Professors
S. No Name Date of birth Date of joining
Educational
qualifications
Ph.D/
NET/SLET
Scale of
pay
Subjects University’s Approval Ref.No
1 Vani. P 03.11.71 01.10.15 M.sc., M.Ed Perspectives TNTEU/R/QA/B.Ed/11010/ 2016-17/144
2 Sait. S 02.05.81 06.10.17 M.A., M.Ed Perspectives TNTEU/R/Qa/B.Ed/CC:11010/17-18/1128
3 Vani. R 08.08.85 03.02.14 M.Sc., M.Ed Perspectives TNTEU/R/QA/B.Ed/11010/ 2016-17/144
4 Perspectives
5 Vinoth. N 30.07.84 21.07.17 M.A., M.Ed Pedagogy TNTEU/R/Qa/B.Ed/CC:11010/17-18/1128
6 Shanmugapriya. M 10.06.93 21.07.17 M.A., M.Ed Pedagogy TNTEU/R/Qa/B.Ed/CC:11010/17-18/1128
7 Surendar. M 16.05.86 03.02.14 M.Sc., M.Ed Pedagogy TNTEU/R/QA/B.Ed/11010/ 2016-17/144
8 Vidhya. A 17.06.86 21.07.17 M.Sc., M.Ed Pedagogy TNTEU/R/Qa/B.Ed/CC:11010/17-18/1128
9 Pramila. D 23.06.85 11.09.14
M.Com., M.Ed.,
M.Phil Pedagogy TNTEU/R/QA/B.Ed/11010/ 2016-17/144
10 Santhanma. N 05.06.85 11.09.14 M.Sc., M.Ed Pedagogy TNTEU/R/QA/B.Ed/11010/ 2016-17/144
11 Selvakumar. A 15.04.84 12.10.17 M.A., M.Ed Pedagogy TNTEU/R/Qa/B.Ed/CC:11010/17-18/1128
12 Devika.K 14.06.81 03.02.14
MCA., M.Ed.,
M. Phil
Pedagogy TNTEU/R/QA/B.Ed/11010/ 2016-17/144
13 Saravanan. V 20.06.87 03.02.14 B.A., M.P.Ed
Physical
Director
TNTEU/R/QA/B.Ed/11010/ 2016-17/144
14 Saravanan. T 10.11.86 01.10.15 M.A Fine Arts TNTEU/R/QA/B.Ed/11010/ 2016-17/144
15 Kalaivanan. K 22.10.86 01.10.15 B.F.A., M.F.A
Performing
Arts
TNTEU/R/QA/B.Ed/11010/ 2016-17/144
3. Format - E
LIST OF STUDENTS
Academicyear:2018– 2019 B.Ed degreeprogramme First year
S.No Name of the student Date of birth Gender Community
% of marks
in Qualifying
Exam
Pedagogy Reg. No
1 Aarthi. M 26.06.1998 Female MBC 87.29 Phy. Science 1101018BD001
2 Aasifa Apsana. S 31.12.1997 Female BC 63.9 English 1101018BD002
3 Abarna. R 17.11.1995 Female SC 65.73 Phy. Science 1101018BD003
4 Abinaya. G 12.01.1998 Female SC 52.76 English 1101018BD004
5 Alexpandian. R 10.05.1996 Male SC 55.16 English 1101018BD005
6 Ananthi. P 01.06.1997 Female MBC 55.7 English 1101018BD006
7 Arasa Kumar. M 03.05.1996 Male BC 65.74 English 1101018BD007
8 Arifa. T 08.04.1987 Female BC(M) 45.27 History 1101018BD008
9 Arulmurugan. T 19.04.1997 Male SC 50.70 Tamil 1101018BD009
10 Arumugam. K 04.04.1974 Male SC 52.38 Bio - Science 1101018BD010
11 Arya Mohanan. M 05.11.1997 Female MBC 70.75 Mathematics 1101018BD011
12 Banumathi. P 25.12.1989 Female BC 64.76 Computer science 1101018BD012
13 Banupriya. R 10.06.1997 Female MBC 73.8 Mathematics 1101018BD013
14 Bhuvaneswari. P 03.05.1994 Female SC 60 Commerce 1101018BD014
15 Boopathi. S 14.11.1993 Male SC 64.5 Phy. Science 1101018BD015
16 Brindha. S 25.05.1997 Female BC 60.5 English 1101018BD016
17 Cladia Chiristy. M 25.12.1997 Female BC 80.75 Mathematics 1101018BD017
18 Deepa. E 25.12.1995 Female DNC 63.77 English 1101018BD018
19 Deepa. M 09.03.1997 Female DNC 75.7 Mathematics 1101018BD019
20 Devi. P 11.05.1998 Female MBC 52.10 English 1101018BD020
21 Dipak. K. E 30.06.1994 Male BC 64.5 History 1101018BD021
22 Elayaraja. E 02.03.1988 Male BC 74 Computer science 1101018BD022
23 Gayathri. M 26.08.1998 Female BC 65.7 Mathematics 1101018BD023
24 Geetha. V 13.05.1993 Female BC 66.93 Phy.Science 1101018BD024
25 Gillbhart serin. J 06.05.1998 Female BC 73.59 Mathematics 1101018BD025
26 Girija. P 05.04.1995 Female MBC 53.70 English 1101018BD026
27 Gomathi. G 07.03.1992 Female MBC 72.78 Phy. Science 1101018BD027
28 Hemalatha. P 23.07.1998 Female BC 66.77 Computer science 1101018BD028
4. 29 Jeeva. S 03.01.1989 Female BC 87.25 Mathematics 1101018BD029
30 Jeevitha. R 23.06.1994 Female SC 51.83 Tamil 1101018BD030
31 Kanagadhurka. S 31.12.1990 Female BC 70.9 Commerce 1101018BD031
32 Kanimozhi. J 10.06.1998 Female DNC 76.06 Phy. Science 1101018BD032
33 Kanmani. R 19.05.1998 Female BC 78.20 Tamil 1101018BD033
34 Karthika. A 01.12.1990 Female BC 76.75 Computer science 1101018BD034
35 Karthika. M 31.05.1996 Female SC 49.2 English 1101018BD035
36 Karthika. P 30.05.1994 Female BC 84.25 Phy. Science 1101018BD036
37 Karthikeyan. R 10.01.1997 Male MBC 56.03 English 1101018BD037
38 Kathiresan. P 05.06.1997 Male SC 55.43 English 1101018BD038
39 Kavipriya. K 13.05.1998 Female SC 59.96 History 1101018BD039
40 Kavitha. S 16.06.1987 Female BC 75.84 Computer science 1101018BD040
41 Kaviya. B 16.07.1996 Female DNC 71.84 Mathematics 1101018BD041
42 Keerthana. E 09.05.1998 Female BC 65.39 Tamil 1101018BD042
43 Kokila. P 13.03.1998 Female BC 72.33 Mathematics 1101018BD043
44 Lakshmi. V 14.05.1996 Female SC 63.94 Tamil 1101018BD044
45 Logeshwari. V 18.07.1994 Female MBC 57.03 English 1101018BD045
46 Maheswari. K 22.07.1997 Female SC 59.33 Mathematics 1101018BD046
47 Manibalanandhini. K 05.08.1997 Female MBC 59.90 English 1101018BD047
48 Manickam. M 31.05.1988 Male BC 61.52 English 1101018BD048
49 Manikandan. M 20.10.1997 Male SC 55.4 Bio - Science 1101018BD049
50 Manimegala. P 26.06.1996 Female SC 66.75 Phy science 1101018BD050
51 Mathumitha. R 16.07.1998 Female SC 75.70 Mathematics 1101018BD051
52 Mohamedimthiyas. S 22.05.1998 Male BC (M) 58.9 Tamil 1101018BD052
53 Monisha. R 14.07.1996 Female BC 74.8 Mathematics 1101018BD053
54 Nageshwari.S 21.06.1982 Female SC 61.72 Computer science 1101018BD054
55 Nandhini. M 09.06.1998 Female SC 63.78 Phy science 1101018BD055
56 Nandhini. P 16.04.1998 Female BC 66.13 Phy science 1101018BD056
57 Nathiya.R 18.07.1986 Female BC 79.54 Computer science 1101018BD057
58 Nigitha. R 18.01.1995 Female BC 52.18 Commerce 1101018BD058
59 Nirmala. S 17.06.1996 Female BC 62.37 Phy science 1101018BD059
60 Pandimeena. R 12.11.1993 Female BC 79.37 Computer science 1101018BD060
61 Priya.P 02.07.1992 Female SC 60.48 English 1101018BD061
62 Priyanga. P 06.07.1996 Female SC 53.24 English 1101018BD062
63 Rajeswari. A 21.07.1988 Female BC 72.96 Computer science 1101018BD063
64 Raji. K 02.08.1997 Female SC 60 Mathematics 1101018BD064
5. 65 Ramya. M 11.06.1995 Female BC 79.80 Mathematics 1101018BD065
66 Rekha. R 23.05.1988 Female BC 63. 7 Commerce 1101018BD066
67 Sabari Siva Sangari. S 20.05.1998 Female BC 84.73 Phy science 1101018BD067
68 Sandhiya. M 19.07.1997 Female SC 49.56 English 1101018BD068
69 Sangeetha. P 09.03.1996 Female DNC 63.84 Mathematics 1101018BD069
70 Sangeetha. S 28.03.1998 Female MBC 67.90 Mathematics 1101018BD070
71 Saranraj. S 17.06.1998 Female SC 61.80 Tamil 1101018BD071
72 Saranya. M 17.02.1996 Female DNC 56.82 English 1101018BD072
73 Saranya. P 16.07.1996 Female MBC 79.4 Mathematics 1101018BD073
74 Saranya. T 12.01.1986 Female BC 73.48 Bio - Science 1101018BD074
75 Sathiya. K 19.04.1989 Female SC 45.9 English 1101018BD075
76 Selvakumar. K 28.04.1997 Female SC 64.06 Tamil 1101018BD076
77 Selvi. V 10.07.1987 Female BC 68.92 Mathematics 1101018BD077
78 Shirley sheeba rani. S 17.09.1997 Female OC 55.20 English 1101018BD078
79 Sivananthan. P 12.06.1998 Male BC 49.93 English 1101018BD079
80 Shobana. S 31.03.1998 Female SC 68.13 Mathematics 1101018BD080
81 Somiya. J 06.05.1997 Female SC 61.06 English 1101018BD081
82 Sridevi. P 20.06.1995 Female SC 61.84 Phy.Science 1101018BD082
83 Sripriya. P 05.06.1998 Female SC 64.21 Phy.Science 1101018BD083
84 Sudha. K 11.06.1993 Female MBC 69.92 Commerce 1101018BD084
85 Sudha. S 25.05.1998 Female SC 59.73 English 1101018BD085
86 Suganthi. T 05.06.1993 Female SC 61.5 Commerce 1101018BD086
87 Suji kumari. P 05.02.1986 Female BC 75 Computer science 1101018BD087
88 Sujitha. T 05.06.1993 Female SC 68.60 Computer science 1101018BD088
89 Tamilarasi. R 08.05.1996 Female SC 53.76 English 1101018BD089
90 Tamilchelvi. S 15.04.1971 Female MBC 56.06 Tamil 1101018BD090
91 Tamilselvi. B 06.07.1996 Female BC 61.20 English 1101018BD091
92 Thangamani. P 05.05.1989 Female BC 59.91 History 1101018BD092
93 Thilagavathy. T 22.11.1984 Female SC 52.69 Computer Science 1101018BD093
94 Vasuki. B 23.04.1995 Female MBC 77.1 Mathematics 1101018BD094
95 Vidhya. S 03.05.1978 Female BC 77 Mathematics 1101018BD095
96 Vijay ANANDH. S 31.05.1996 Male SC 57.43 Mathematics 1101018BD096
97 Vijaya. M. K 05.06.1998 Female DNC 66.16 Phy.Science 1101018BD097
98 Vinitha. M 15.05.1995 Female DNC 64.73 Mathmatics 1101018BD098
99 Vinoth. N 20.05.1998 Male SC 59.06 Mathematics 1101018BD099
100 Yasmin. N 01.06.1986 Female BC (M) 46 Mathematics 1101018BD100
6. Format - F
LIST OF STUDENTS
Academic year: 2018 – 2019 B.Ed degree programme Second year
S.No Name of the student Date of birth Gender Community
% of marks
in Qualifying
Exam
Pedagogy Reg. No
1 Abbas Ali. A. S 17.02.1996 Male BC 50.55 English 1101017BD001
2 Agalya. S 10.01.1995 Female SC 63.2 English 1101017BD002
3 Agalyaa. M 10.06.1997 Female MBC 77.86 Mathematics 1101017BD003
4 Aishwarya. M 31.05.1997 Female BC 74.7 Mathematics 1101017BD004
5 Akila. M 25.05.1985 Female BC 72.37 Mathematics 1101017BD005
6 Anandavinnayki. R 04.05.1996 Female SC 61.18 Phy Science 1101017BD006
7 Angaleeswari. G 17.05.1987 Female MBC 68.12 Phy Science 1101017BD007
8 Anupritha. S 10.04.1997 Female DNC 70.86 Mathematics 1101017BD008
9 Anusiya. S. A 24.05.1993 Female SC 62.31 Tamil 1101017BD009
10 Balamani. K 20.07.1987 Female SC 59.75 History 1101017BD010
11 Balasubramani. K 03.04.1973 Male SC 50 Bio Science 1101017BD011
12 Banupriya. M 17.04.1997 Female MBC 70 Mathematics 1101017BD012
13 Boopathi. M 13.05.1995 Female SC 63.93 Tamil 1101017BD013
14 Chitravalli. B 10.03.1988 Female SC 52.90 English 1101017BD014
15 Deivanayaki.N 02.06.1991 Female DNC 56.27 English 1101017BD015
16 Dharani. P 03.07.1994 Female BC 59.43 English 1101017BD016
17 Dharani. R 10.06.1995 Female DNC 7.92 Computer science 1101017BD017
18 Dhilipkumar. I 16.10.1993 Male SC 64.76 Computer science 1101017BD018
19 Dhivya.G 12.05.1989 Female MBC 58.91 Tamil 1101017BD019
20 Divya.P 01.06.1997 Female MBC 60.6 English 1101017BD020
21 Divya.S 30.05.1988 Female MBC 61.33 Tamil 1101017BD021
22 Divyaamalarani. M 03.06.1996 Female BC 55.95 English 1101017BD022
23 Durga Devi.N 17.06.1997 Female DNC 62.1 Mathematic 1101017BD023
24 Gayathri Devi. B 11.06.1980 Female MBC 47 English 1101017BD024
25 Geetha. C 28.07.1981 Female SC 64 Tamil 1101017BD025
26 Geethanjali. R 09.06.1991 Female DNC 44 English 1101017BD026
27 Gomathi. R 13.05.1995 Female BC 72 Bio Science 1101017BD027
28 Gowri. M 02.11.1996 Female BC 68.90 Mathematics 1101017BD028
7. 29 Gowsalya.D 17.03.1997 Female MBC 60.36 English 1101017BD029
30 Hema. P 21.06.1997 Female MBC 58.1 English 1101017BD030
31 Hemapriya. P 06.10.1996 Female BC 85.4 Mathematics 1101017BD031
32 Indhira. D 06.10.1996 Female MBC 69.3 English 1101017BD032
33 Indhumathi. M 06.07.1997 Female SC 54.69 English 1101017BD033
34 Indhumathi. P 04.05.1989 Female SC 49.39 History 1101017BD034
35 Indumathi. A 17.10.1996 Female BC 63.13 English 1101017BD035
36 Jaikala. S 15.05.1982 Female SC 54 Commerce 1101017BD036
37 Jamuna. M 31.12.1996 Female SC 57 English 1101017BD037
38 Jayapriya.K 01.06.1994 Female SC 57 English 1101017BD038
39 Jenifer Kaviya.I 31.07.1997 Female BC 68.96 Phy Science 1101017BD039
40 Jeyapratha. K 21.01.1996 Female BC 60.6 Mathematics 1101017BD040
41 Jeyasree Ramanathan 25.07.1970 Female OC 70.64 Commerce 1101017BD041
42 JokinArul Raj. A 19.081992 Male BC 68.5 Computer science 1101017BD042
43 Kalaivani. K 14.01.1996 Female BC 72.4 Commerce 1101017BD043
44 Kamalakannan. M 15.07.1984 Male BC 58.5 Commerce 1101017BD044
45 Kaleeswari. G 05.06.1997 Female MBC 71.6 Phy Science 1101017BD045
46 Kanimozhi. M 23.11.1993 Female SC 57.29 English 1101017BD046
47 Kanimozhi. R 25.05.1994 Female BC 58.15 English 1101017BD047
48 Kanimozhi. R 01.04.1997 Female SC 57.33 English 1101017BD048
49 Kavitha. M 01.11.1982 Female SC 60.69 Tamil 1101017BD049
50 Kokila. A 24.07.1997 Female BC 56.3 English 1101017BD050
51 Mahendran. K 08.11.1992 Male SC 55.2 English 1101017BD051
52 Manimekalai. R 13.08.1996 Female BC 66.25 Mathematics 1101017BD052
53 Manivasagam. N 11.05.1992 Male SC 53.7 English 1101017BD053
54 Manju. K 19.01.1993 Female BC 73.9 Computer science 1101017BD054
55 Meenakshi. R 09.08.1994 Female BC 79 English 1101017BD055
56 Muthuraja. S 05.04.1991 Male SC 51.53 Tamil 1101017BD056
57 Nanthini. M 31.05.1995 Female BC 58.4 English 1101017BD057
58 Nithya. G 15.05.1995 Female SC 56.86 Geography 1101017BD058
59 Nithya. K 10.06.1993 Female SC 72 Tamil 1101017BD059
60 Ponmalar. M 04.12.1991 Female SC 55 Tamil 1101017BD060
61 Pothumponnu. M 02.01.1995 Female SC 57 Geography 1101017BD061
62 Prabha. M 20.03.1997 Female SC 63.74 Phy Science 1101017BD062
63 Pragathi. S 23.10.1997 Female BC 57.4 English 1101017BD063
64 Prakash. M 10.02.1991 Male SC 60.02 Commerce 1101017BD064
8. 65 Priya.M 21.05.1997 Female SC 68.48 Geography 1101017BD065
66 Priya.S 30.05.1991 Female BC 63.09 Economics 1101017BD066
67 Punitha. R 14.06.1997 Female BC 62.7 English 1101017BD067
68 Raguna. R 09.06.1992 Female SC 63.66 English 1101017BD068
69 Raja. R 01.06.1990 Male SC 54.13 History 1101017BD069
70 Rajesh. P 30.10.1993 Male SC 60.03 Geography 1101017BD070
71 Rajeswari. D 10.08.1997 Female BC 71.27 Phy science 1101017BD071
72 Ramachandran. G 05.03.1990 Male SC 58 Geography 1101017BD072
73 Ramki. P 27.05.1986 Female SC 60 History 1101017BD073
74 Ramya. M 15.06.1986 Male MBC 51.54 Mathematics 1101017BD074
75 Ravikumar. T 26.02.1997 Female SC 53.82 Economics 1101017BD075
76 Reeta. E 24.03.1997 Female BC 70 Phy science 1101017BD076
77 Renuka. S 21.08.1989 Female MBC 62.45 Phy science 1101017BD077
78 Revathi. R 11.06.1996 Female SC 66 Phy science 1101017BD078
79 Revathi. S 31.12.1991 Female BC 57.40 English 1101017BD079
80 Rubasri. V 15.06.1994 Female BC 57.68 English 1101017BD080
81 Sandhiya. M 25.06.1997 Female SC 65.03 Bio Science 1101017BD081
82 Sangeetha. P 02.06.1997 Female BC 54.09 English 1101017BD082
83 Sangeetha. R 20.06.1996 Male MBC 82.1 Mathematics 1101017BD083
84 Saravanakumar. N 25.07.1997 Male MBC 59.36 Mathematics 1101017BD084
85 Satheeshkumar. R 17.07.1983 Female BC 68.37 Tamil 1101017BD085
86 Shyamala. P 20.12.1996 Female BC 75 Computer science 1101017BD086
87 Solaimurugan. S 08.06.1988 Male BC 55.6 Tamil 1101017BD087
88 Sowmiya. S 26.04.1997 Female MBC 63.73 English 1101017BD088
89 Sowmiya. V 05.12.1996 Female BC 66 English 1101017BD089
90 Subashini. B 12.02.1995 Female SC 58.7 English 1101017BD090
91 Subathra. S 17.10.1981 Female BC 58.7 Phy science 1101017BD091
92 Sumathi. R 24.04.1984 Female SC 58.5 Tamil 1101017BD092
93 Sumithasaraswathi. D 15.04.1994 Female SC 56.75 English 1101017BD093
94 Surendran. T 28.01.1991 Male SC 56.7 English 1101017BD094
95 Surya. S 22.04.1997 Male SC 56.7 English 1101017BD095
96 Swathi. B 22.04.1997 Male OC 69.6 Phy Science 1101017BD096
97 Thilagavathi. S 13.06.1997 Female BC 50.81 English 1101017BD097
98 Vanmathi. S 04.07.1997 Female BC 69.34 English 1101017BD098
99 Vennila. A 30.06.1996 Female MBC 52.26 English 1101017BD099
9. Format – H
List of Teaching Faculty left the College during the past
Three academic years
S.No Name Date of birth Designation
Date of
joining
Date of
relieving
Reason for
leaving
Subject Handled
1 Dr. S.N. Dharanendrappa 20.07.1974 Principal 03.02.14 31.05.15 Personal -
2 Umachandran .M 25.07.1968 M. Com., M. Phil., M.Ed., 03.02.14 05.12.15 Personal Commerce
3 Sasikumar. K 15.05.1984 M.Sc., M.Ed., 03.02.14 28.4.12 Not Well Bio - Science
4 Sripriya. R 01.07.1975 M.A., M.Ed., 03.02.14 10.12.15 Personal English
5 Samayamuthu. P 20.01.1982 M.A., M.Ed., 03.02.14 28.08.14 Not Well Tamil
6 Muthulakshmi. V 31.12.1978 M.A., M.Ed., 03.02.14 29.05.17 Personal History
7 Ramesh. L 04.05.1982 M.A., M.Phil., M.Ed., 01.08.14 01.08.15 Not Well Tamil
8 Sathishkumar. M 05.05.1987 M.A., M.Ed., 01.10.15 29.05.17 Personal Tamil
9 Kavitha. P. K 17.07.1976 M.A., M.Ed., 29.09.15 15.01.16 Not Well Mathematics
10 Priya. N 14.02.1985 M.A., M.Ed., 01.10.15 26.05.17 Personal English