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

 

 

 

 

Course: There are no Pre-Requisite for this course

 

 

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.

 

Course Objectives:

  1. Defending the use of Research Methodology
  2.  Judging the reliability and validity of experiments
  3. Perform exploratory data analysis
  4. Draw conclusions from categorical data
  5. Using computer-intensive methods for data analysis
  6. compare statistical models

 

Course Learning Outcomes:

 

 

CO

After the completion of the course the student should be able to

Bloom’s Cognitive

level

Descriptor

CO1

Defend  the use of Research Methodology

 

Affective domain

Defend

CO2

Judge  the reliability and validity of experiments

Psychomotor

Judge

CO3

 perform exploratory data analysis

Psychomotor

analysis

CO4

 draw conclusions from categorical data

Psychomotor

conclude

CO5

Use computer-intensive methods for data analysis

 

Psychomotor

data analysis

 

CO6

Drawing conclusions from statistical test results & compare statistical models

Psychomotor

compare

 

 

 

CO-PO Mapping:

 

CO

PO1

PO2

PO3

CO1

3

1

1

CO2

3

1

1

CO3

1

1

2

CO4

1

3

2

CO5

3

1

1

CO6

3

1

1

 

 

 

Assessments :

Teacher Assessment:

One End Semester Examination (ESE) having 100% weightage.

Assessment

Marks

ISE 1

-

MSE

-

ISE 2

-

ESE

100

ESE: Assessment is based on 100% course content

 

Course Contents:

 

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

 

 

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

 

 

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

 

 

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

 

 

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

 

 

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

 

 

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.

 

 

  1.  Kothari C.K., Research Methodology Methods and Techniques ( New Age International, New Delhi), 2004..

 

Unit wise Measurable students Learning Outcomes:

  1. Recall  research terminology
  2. Be aware of the ethical principles of research, ethical challenges and approval processes
  3. Describe quantitative, qualitative and mixed methods approaches to research
  4. Identify the components of a literature review process
  5. Critically analyze published research
  6. Discuss Research Methodology

 

 

     

 

 

 

 

 

 

 

 

 

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.

 

Sr. No.

Topics to be taught

Planned Date

1

Subject Introduction

05/09/2023,

 

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