- Teacher: Shalini Billa
- Teacher: Shalini Billa
KIT’S COLLEGE OF ENGINEERING
DEPARTMENT OF BIOTECHNOLOGY ENGINEERING
M. Tech. Biochemical Engineering & Biotechnology
Important Instructions for Students
1. Students have to attend all lectures and practical sessions regularly and punctually.
2. Students should complete the formalities of readmission, filling of examination forms, applying for scholarships or other schemes etc. Positively before the due dates concerned.
3. Students should take prior permissions from the HOD before proceeding on leave. In case of emergencies, the reason and the probable duration of absence should be communicated at the earliest convenient time. The necessary paperwork should be completed upon rejoining.
4. Participation in other activities cannot be an excuse for lack of academic performance.
5. Students have to complete the practical/experimental assignments during the regular schedules of practicals and get it evaluated before work on next assignment is started.
6. At the end of the term, submission will involve only arranging the reports of previously evaluated assignments, properly filed and indexed and getting the journal certified from the faculty concerned.
7. Students should prepare well and attend the I. A. Tests as the performance contributes to their term work marks.
Vision of the Department
· To develop as a Center of Excellence in Biotechnology Engineering and the preferred choice of Faculty, Student, Industry and Society at global level
Mission of the Department
· To use sophisticated techniques of modern biotechnology to strengthen and develop human
resources and institutional capacity.
· To transfer know how and develop appropriate facility and training in biotechnology related
subjects considering safety in biotechnology by assessing management risk.
Program Outcomes
PO1: An ability to independently carry out research /investigation and development work to
solve practical problems
PO2: An ability to write and present a substantial technical report/document
PO3: Students should be able to demonstrate a degree of mastery over the area as per the
specialization of the program. The mastery should be at a level higher than the
requirements in the appropriate bachelor program
Program Educational Outcomes
PEO1: The Biochemical Engineering & Biotechnology students will be able to independently carry out research /investigation and development work to solve practical problems
PEO2: The Biochemical Engineering & Biotechnology students will be able to write and present a substantial technical report/document
PEO3: The Biochemical Engineering & Biotechnology Students will be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program
Title of the Course: Research Methodology Course Code: PBEB0161 |
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Course: There are no Pre-Requisite for this course
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Course Description: This course will provide an opportunity for participants to establish or advance their understanding of research through critical exploration of research language, ethics, and approaches. |
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Course Objectives:
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Course Learning Outcomes:
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CO-PO Mapping:
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Assessments : Teacher Assessment: One End Semester Examination (ESE) having 100% weightage.
ESE: Assessment is based on 100% course content |
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Course Contents: |
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Unit I: Introduction to Research An Introduction, Meaning of Research , Objectives of Research, Motivation in Research, Types of Research, Research Approaches , Significance of Research , Research Methods versus Methodology Research and Scientific Method , Importance of Knowing How Research is Done , Research Process Criteria of Good Research, Problems Encountered by Researchers |
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Unit II: Research Design Meaning of Research Design, Need for Research Design, Features of a Good Design, Important Concepts Relating to Research Design, Different Research Designs, Basic Principles of Experimental Designs |
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Unit III: Sampling Design Need for sampling, Population, Sample, Normal distribution, Steps in sampling, Systematic bias and Sampling error, Characteristics of good sample design, Probability sampling and Random sampling, Determination of sample size |
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Unit IV: Results and Analysis Importance and scientific methodology in recording results, importance of negative results, Different ways of recording, industrial requirement, artifacts versus true results, types ofanalysis (analytical, objective, subjective) and cross verification, correlation with published results, discussion, outcome as new idea, hypothesis, concept, theory, model etc |
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Unit V : Measurement and Scaling Techniques Introduction, Concept of measurement - Measurement of scale, Developing measurement scale, Criteria of good measurement tools, Error measurement. Concept of Scaling, Classification, Approaches of scale construction, Types of scales - Rating scale, Ranking scale, Arbitrary scale, Differential scale, Summated scale, Cumulative scale, Factor scale |
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Unit VI: Data Collection and Analysis of Data Collection of Primary Data, Observation Method, Interview Method, Collection of Data through Questionnaires, Collection of Data through Schedules, Difference between Questionnaires and Schedules, Collection of Secondary Data, Selection of Appropriate Method for Data Collection, Data Processing Operations, Problems in Processing, Elements/Types of Analysis |
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Textbooks: 1. Books: C. R. Kothari, “Research Methodology”, New Age international, 2004. 2. Deepak Chopra and Neena Sondhi, “Research Methodology : Concepts and cases”, Vikas Publishing House, New Delhi, 2008. 3. Ranjit Kumar, “Research Methodology: A Step by Step Guide for Beginners”, 2nd Edition, Sage Publisher, 2011.
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Unit wise Measurable students Learning Outcomes:
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KIT’S COLLEGE OF ENGINEERING
DEPARTMENT OF BIOTECHNOLOGY ENGINEERING
COURSE: Research Methodology (Audit Course)
Course code : PBEB0161
CLASS: First Year M.Tech (BIOTECHNOLOGY ENGINEERING)
COURSE COORDINATOR- Dr. Amruta Patil.
Topics to be taught |
Planned Date |
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1 |
Subject Introduction |
05/09/2023,
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2 |
Unit 1: An Introduction, Meaning of Research , Objectives of Research, Motivation in Research, Types of Research, Research Approaches , |
12/09/2023 |
3 |
Unit 1: Significance of Research , Research Methods versus Methodology Research and Scientific Method |
16/09/2023 |
4 |
Unit 1: Importance of Knowing How Research is Done , Research Process Criteria of Good Research, Problems Encountered by Researchers |
23/09/2023 |
5 |
Unit 2: Meaning of Research Design, Need for Research Design, Features of a Good Design |
26/09/2023 |
6 |
Unit 2: Important Concepts Relating to Research Design, Different Research Designs, Basic Principles of Experimental Designs |
30/09/2023 |
7 |
Unit 3: Need for sampling, Population, Sample, Normal distribution, Steps in sampling, Systematic bias and Sampling error |
03/10/2023 |
8 |
Unit 3: Characteristics of good sample design, Probability sampling and Random sampling, Determination of sample size |
07/10/2023 |
9 |
Unit 4: Importance and scientific methodology in recording results, importance of negative results, Different ways of recording |
17/10/2023 |
2 |
Unit 4: industrial requirement, artifacts versus true results, types of analysis (analytical, objective, subjective) and cross verification, correlation with published results |
21/10/2023 |
3 |
Unit 4: discussion, outcome as new idea, hypothesis, concept, theory, model etc |
17/10/2023 |
4 |
Unit 5: Introduction, Concept of measurement - Measurement of scale, Developing measurement scale, Criteria of good measurement tools |
28/10/2023 |
5 |
Unit 5: Error measurement. Concept of Scaling, Classification, Approaches of scale construction, |
31/10/2023 |
6 |
Unit 5: Types of scales - Rating scale, Ranking scale, Arbitrary scale, Differential scale, Summated scale, Cumulative scale, Factor scale |
04/11/2023 |
7 |
Unit 6: Collection of Primary Data, Observation Method, Interview Method, Collection of Data through Questionnaires, Collection of Data through Schedules |
07/11/2023 |
8 |
Unit6 : Difference between Questionnaires and Schedules, Collection of Secondary Data, Selection of Appropriate Method for Data Collection |
21/11/2023 |
9 |
Unit 6 : Data Processing Operations, Problems in Processing, Elements/Types of Analysis |
25/11/2023 |
10 |
Review of syllabus |
28/11/2023 |
11 |
Review of syllabus |
02/12/2023 |
12 |
Review of syllabus |
05/12/2023 |
Dr. Amruta Patil Dr. Medha Petkar Dr. Pallavi Patil
Course co-ordinator Academic Co-ordinator Head of Department
- Teacher: Amruta Patil