B.Sc III Syllabus

B.Sc III Syllabus

2025-26

2022-23

2021-22

2018-19

2017-18

2016-17

                           B.Sc III Syllabus

Principles of Genetics and Biostat syllabus 

	B.Sc. Sem-V : Major Core : DSC1- T10 : Principles of Genetics (25MJ37153) Cr2	Hours 30
	Learning Objectives: The course is designed to revise basic concepts of Genetics and then move on to advanced concepts. Some key aspects include the mechanism of inheritance, gene structure and function, sex chromosomal and autosomal anomalies, aspects of human genetics, etc. will be covered. A strong emphasis will be laid on the modern tools and techniques used in genetics.
Unit 1	Basic Concepts in Genetics   Concept of genes. Alleles and organization of genes in chromosome, homologous chromosomes, paternal chromosome, maternal chromosome, Autosome, Allosome,  haploid, diploid, polyploid, concept of homozygous and heterozygous, concept of dominance and recessive, dominant and recessive characters in human beings, hybrid, mono hybrid ratio, dihybrid ratio. Test cross and Back cross Multiple alleles, Chromosomal mechanisms of sex determination.	7
Unit 2	Mendelian Laws, Allelic and genetic interaction Laws of Mendelian Inheritance: Contrasting characters in pea plant, Law of dominance, Law of segregation and Law of independent assortment.                Allelic interactions: Incomplete dominance and co-dominance. Gene Interactions: Supplementary, Complementary & Inhibitory interactions. Examples of Sex-linked, sex-influenced and sex-limited characters inheritance.	8
Unit 3	Linkage, Crossing Over and Recombination Linkage: Characteristics of linked genes, Types of linkage-  complete and incomplete linkage, Coupling and Repulsion. Significance of linkage. Chromosomal theory of linkage: by T. H Morgan, Bateson and Punnett’s experiment. Recombination: Characteristics of crossing over, Mechanisms of crossing over during meiosis, Steps involved in crossing over, Significance of crossing over. Synaptonemal complex, Recombination in Bacteria : Conjugation, Transformation, Transduction	7
Unit 4	Mutagens, Mutations, Chromosomal aberrations  and Genetic disorders     Mutagens: Physical mutagens, Chemical mutagens, Biological mutagens.  Types of gene mutations (Classification)- Deletion, duplication, inversion, translocation, frame shift mutation, point mutation, substitution, missense, nonsense mutation.  Types of chromosomal aberrations- Numerical aberrations (Euploidy, Aneuploidy), Structural aberrations (Deletion, Duplication, Translocation Inversion,)    Genetic Disorders: Mechanism and characteristics of Down‘s Syndrome, Klinefelter‘s Syndrome and Turner‘s Syndrome. Pedigree analysis of some human inherited traits	8

B.Sc. Sem-V : Major Core : DSC1- P8 : Practical based on DSC1-T10 (25MJ37154) Cr 2
Experiment	Title
1	Demonstration of 7 contrasting characters of pea plant.
2	Examples in Genetics based on Monohybrid ratio (03 examples)
3	Examples in Genetics based on Dihybrid ratio (03 examples)
4	Example based on Test cross (02 examples) and Back Cross (02 examples)
5	Examples based on multiple alleles: Blood groups (02 examples), Coat color in rabbit (02 examples)
6	Examples based on Complementary,  Supplementary and inhibitory gene interactions.
7	Example based on Complete linkage and Incomplete linkage in Drosophila.
8	Examples based on Coupling and Repulsion
9	Examples based on human genetic traits: Rolling tongue, free & attached ear lobes, hitchhiker‘s thumb, PTC taste, Widows Peak Hairline (01 example from each)
10	Study of Genetic Disorders with the help of images characteristics of Down‘s Syndrome, Klinefelter‘s Syndrome and Turner‘s Syndrome.
11	Pedigree analysis of some human inherited traits
12	Calculate the distance between two genes in map units (03 examples)

	B.Sc. Sem-V: VSC :VSC-T1:  Biostatistics (25VS37151) Cr2	Hours 30
	Learning Objectives:  In the context of Zoology, Statistics plays a crucial role in analyzing data, understanding biological patterns, and making scientific conclusions. The primary learning objectives of studying statistics in Zoology include. Understanding Data Collection Methods: Data Organization and Presentation: Correlation and Regression Analysis Hypothesis Testing and Inferential Statistics: Descriptive Statistics: Calculate and interpret measures of central tendency (mean, median, mode).Determine measures of variability (range, variance, standard deviation).Understand the concept of distribution (normal distribution, skewness).
Unit 1	Scope of Biostatistics and Sampling Methods.  Meaning, scope and limitation of statistics. Data collection,  Sampling Methods: Definition,Types,Probability Sampling Methods,Simple random sampling,Systematic sampling,Stratified sampling,Clustered sampling ,Non-probability Sampling Methods,Convenience sampling,Consecutive sampling,Quota sampling,Purposive or Judgmental sampling,Snowball sampling Probability vs Non-probability Sampling.	7
Unit 2	Graphic, non-graphic representation and Hypothesis testing.  Introduction ,Graphic and non-graphic representation ,Graphic representation of data ,Histogram,Bar diagram or bar graph or bar chart,Frequency polygon,Cumulative frequency curve or ogive,Pie chart,Pictogram,Stem-leaf diagram,Scatter diagram,Advantages of Graphs ,Limitations ,The Misuse of Graphs, Non graphic representation of data ,Tabular Form,Case Form	7
Unit 3	Measures of Central Tendency and Dispersion  Measures of Central Tendency Mean (Direct and Indirect method, Types- Geometric mean, Harmonic mean, Weighted Arithmetic Mean, Advantages and Disadvantages of mean.  Median- Advantages and Disadvantages of median. Mode- Advantages and Disadvantages of Mode.  Study of other averages ,Quartiles, Quintiles, Deciles and Percentiles Measures of Dispersion –  Range, Semi inter Quartile range, ,Mean Deviation,  Standard Deviation (assumed mean method and Actual Mean method), Variation	8
Unit 4	Correlation analysis  Type of correlation - Positive and Negative correlation,Simple and Multiple correlation, Partial and Total Correlation, Linear and Non Linear correlation,Degree of correlation Methods of studying correlation A. Scatter diagram ,B. Karl Pearson’s coefficient of correlation ,C. Rank correlation,Uses of correlations, Regression:Linear regression,Multiple regression,The coefficient of regression	8

B.Sc. Sem-V : VSC :VSC-P1 : Practical based on VSC-T2 (25VS37152) Cr 2
Experiment	Title
1	Examples on Probability Sampling Methods
2	Examples on Non Probability Sampling Methods
3	Examples based Bar diagram – Simple, Sub divided, Paired and Percentage Bar diagram by using graph paper. (one example each)
4	Example based on Pie chart 04 examples by using computer using different softwares like Excel.
5	Examples to draw Histogram, Frequency polygon, Scatter diagram (one example for each)
6	Examples on Mean (05 examples)
7	Examples on Median (05 examples)
8	Examples on Mode (05 examples)
9	Examples on Mean Deviation and Standard Deviation (05 examples)
10	Examples on Positive and Negative correlation (04 examples)
11	Examples on Karl Pearson’s coefficient of correlation (04 examples)
12	Examples on Rank correlation (05 examples)