Page 52 - B.Tech Biotech Curriculum and Syllabus R2017 - REC
P. 52

Department of BIOTECHNOLOGY, REC


                                                                                        TOTAL: 45 PERIODS

            COURSE OUTCOMES:
            Students will be able
                 To use biological databases and use DBMS systems to manipulate data
                 To analyse sequence similarity
                 To analyse evolution of genes and proteins using phylogeny and model protein structures
                 To use machine learning approach to prediction methods
                 To use R language in bioinformatics applications

            TEXT BOOKS
            1.  Introduction to Bioinformatics by Arthur K. Lesk , Oxford University Press.
            2.  Algorithms on Strings, Trees and Sequences by Dan Gusfield, Cambridge University Press.
            3.  Biological Sequence Analysis Probabilistic Models of proteins and nucleic acids by R.Durbin, S.Eddy,
                A.Krogh, G.Mitchison.
            4.  Bioinformatics Sequence and Genome Analysis by David W. Mount, Cold Spring Harbor Laboratory
                Press.
            5.  Beginning Perl for Bioinformatics: An introduction to Perl for Biologists by James Tindall, O‘Reilley
                Media

            REFERENCE
            1.  Bioinformatics The Machine Learning Approach by Pierre Baldi and Soren Brunak.


            BT17511                      BIOPROCESS LABORATORY – I                                L T P C
                                                                                                  0 0 4 2

            OBJECTIVES:
                 To educate the students on enzyme characterization, immobilization and medium optimization
                   methods.
                 To enhancethe students on methods to investigate the growth of microorganisms in different systems
                   under different conditions.

            EXPERIMENTS
            1.  Enzyme kinetics – Determination of Michaelis Menten parameters
            2.  Enzyme activity – Effect of Temperature and Deactivation Kinetics
            3.  Enzyme activity – Effect of pH
            4.  Enzyme inhibition kinetics
            5.  Enzyme immobilization – Gel entrapment/ Cross linking
            6.  Enzymatic conversion in Packed bed Column/Fluidized bed Column
            7.  Growth of Bacteria – Estimation of Biomass, Calculation of Specific Growth Rate, Yield Coefficient
            8.  Growth of Algae – Estimation of Biomass, Calculation of Specific Growth Rate, Yield Coefficient
            9.  Medium optimization – Plackett Burman Design
            10. Medium optimization – Response Surface Methodology

                                                                                        TOTAL: 60 PERIODS

            COURSE OUTCOMES:
            At the end of this course, students will be able to:
                 Explain about Enzyme kinetics and characterization and how to use them for practical applications.
                 Evaluate the growth kinetics of microorganisms and become adept with medium optimization
                   techniques.
                 Determine an experimental objective, understand the theory behind the experiment, and operate the
                   relevant equipment safely.
                 Demonstrate good lab citizenry and the ability to work in team.

            Curriculum and Syllabus | B.Tech. Biotechnology | R2017                                    Page 52
   47   48   49   50   51   52   53   54   55   56   57