After successful completion of B.Sc.(reg) Programme students will be able to:

1. To understand atomic structure, periodic trends, chemical bonding, and basic concepts of thermodynamics.
2. To develop problem-solving skills in stoichiometry, equilibrium, and fundamental chemical reactions.

1. To familiarize students with laboratory equipment, safety protocols, and basic experimental techniques.
2. To develop skills in performing titrations, filtration, crystallization, and recording observations.

1. To introduce students to the basic concepts of ecology, ecosystems, and environmental issues.
2. To understand natural resources, their sustainable use, and conservation strategies.

1. To develop practical skills in environmental monitoring and sample analysis.
2. To apply field and laboratory techniques to study environmental parameters.

1. To understand the diversity, classification, and evolutionary significance of lower plant groups.
2. To study the morphology, reproduction, and economic importance of algae, fungi, bryophytes, and pteridophytes.

1. To develop a strong foundation in algebra including matrices, determinants, and linear equations.
2. To understand the concepts of limits, continuity, differentiation, and integration.

1. To introduce the basic concepts of statistics including data types, collection, and presentation methods.
2. To develop skills in computing and interpreting measures of central tendency, dispersion, and correlation.

1. To develop practical skills in computing descriptive statistics and presenting data graphically.

1. To strengthen understanding of algebraic and calculus concepts through hands-on problem solving.

1. To develop skills in using MS Excel for statistical data analysis and visualization.

1. To introduce students to the rich traditions of Indian Knowledge Systems including philosophy, science, and arts.
2. To cultivate awareness of India’s intellectual heritage and its relevance to modern disciplines.

1. To understand the concepts of chemical equilibrium, electrochemistry, and chemical kinetics.
2. To develop understanding of organic chemistry fundamentals including functional groups and basic reactions.

1. To introduce students to basic computer applications useful in chemistry including word processing, spreadsheets, and data handling.
2. To develop skills in using computers for chemical data analysis and molecular drawing.

1. To introduce the basic concepts of probability including sample spaces, events, and axioms of probability.
2. To develop understanding of discrete probability distributions and their applications.

1. To develop practical computational skills in probability and discrete distribution problems.

1. To enable students to use MS Excel for computing statistical measures and probability distributions.
2. To develop proficiency in data visualization and statistical analysis using Excel tools.

1. To develop understanding of advanced algebraic structures and calculus techniques.
2. To apply differential and integral calculus to solve applied mathematical problems.

1. To reinforce algebraic and calculus concepts through numerical problem solving and verification.

1. To understand plant morphology fundamentals including organ modifications and flower/inflorescence structure.
2. To develop skills in practical identification and classification of plant specimens.

1. To understand environmental chemistry principles and chemical interactions across environmental segments.
2. To study pollutant chemistry, green chemistry principles, and environmental physics concepts.

1. To develop sample collection, preservation, and analysis skills for environmental monitoring.
2. To provide hands-on experience in monitoring techniques and practical application of theory.

1. To understand plant morphology and classification through direct observation and specimen study.
2. To develop microscopic and macroscopic observational skills and awareness of economic/ecological importance.

1. Build practical skills in kinetics, thermodynamics, conductance, and coordination chemistry experiments.
2. Encourage critical evaluation of experimental data and theoretical principles.

1. Develop comprehensive understanding of inorganic chemistry principles including coordination compounds and bonding theories.
2. Enable students to predict chemical behavior using theoretical frameworks.

1. Explore the contributions of ancient Indian scholars to chemistry and metallurgy.
2. Understand traditional chemical practices and their relevance to modern chemistry.

1. Introduce students to industrial chemical processes and manufacturing techniques.
2. Develop understanding of large-scale production, quality control, and industrial safety.

1. Provide practical exposure to real-world applications of chemistry through fieldwork.
2. Develop project management, teamwork, and technical documentation skills.

1. Build practical skills in kinetics, thermodynamics, conductance, and coordination chemistry experiments.
2. Encourage critical evaluation of experimental data.

1. Introduce microorganisms’ role in environment.
2. Understand diversity and classification.
3. Explore ecological principles in ecosystems.
4. Investigate biogeochemical cycles.
5. Study applications in waste treatment, bioremediation, and monitoring.
6. Highlight human activities-microbial health relationship.

1. Familiarize with fundamental techniques.
2. Develop isolation and identification skills.
3. Understand microorganisms’ role in ecological processes.
4. Enable analysis of microbial diversity and interactions.
5. Study application in environmental management.
6. Equip for microbiological research and analysis.

1. Understand discrete and bivariate probability distributions and properties.
2. Enable derivation and computation of moments, MGF, CGF, and parameters.
3. Train to determine conditional expectations, independence, correlation and solve problems.

1. Thorough understanding of continuous univariate and bivariate distributions theory and properties.
2. Develop ability to derive and interpret moments, MGF, CGF, and statistical measures.
3. Enable identification of appropriate continuous distributions for theoretical and practical problems.

1. Understand historical development and role of statistics in India.
2. Explore probability and statistical concepts in ancient times.
3. Gain knowledge of major statistical organizations and offices in India.

1. Fit discrete and continuous probability distributions to study real life situations.
2. Identify appropriate probability model.

1. Enable MS Excel application for statistical computation and analysis of probability distributions.
2. Develop practical skills in fitting distributions and computing expected frequencies.
3. Provide hands-on experience in visualizing distributions and performing model sampling.

1. Provide practical exposure to statistical methods through fieldwork.
2. Develop teamwork and project management skills.
3. Enable application of theoretical knowledge in real-life situations and prepare project report.

1. Understand multivariable functions and apply partial differentiation.
2. Apply exact and inexact differentials, chain rule, and total derivatives in variable transformations.
3. Develop skills in vector algebra to solve geometric problems involving lines, planes, and spheres.
4. Apply vector calculus (gradient, divergence, curl) to physical and mathematical problems.

1. Develop practical skills in evaluating multivariable functions and performing partial differentiation.
2. Provide hands-on experience in applying exact and inexact differentials, chain rule, and total derivatives.
3. Build proficiency in vector algebra through practical computation and geometric applications.
4. Strengthen understanding of vector calculus by computing gradient, divergence, curl, and solving applied vector problems.

1. Develop understanding of analytical techniques (titrations, chromatographic separation, solvent extraction).
2. Train in standard analytical instruments and techniques (colorimetry, chromatography, extraction).
3. Enhance analytical interpretation skills by analyzing titration curves, calibration plots, chromatograms, extraction efficiencies.

1. Develop understanding of analytical techniques.
2. Train in standard analytical instruments and techniques.
3. Enhance analytical interpretation skills.

1. Understand and explain fundamental organic chemistry concepts (acidity, basicity, oxidation-reduction, reaction mechanisms, stereochemistry).
2. Analyze and predict reactivity and mechanisms (halogenated hydrocarbons, nucleophilic substitution, oxidation-reduction, stereochemical behavior).
3. Design and evaluate synthetic strategies.

1. Develop computational skills for chemical data analysis using basic software tools.
2. Introduce molecular modeling and visualization software.
3. Promote application of software in experimental and theoretical chemistry.

1. Sensitize students towards societal needs.
2. Promote citizenship behavior and contribute to community well-being using chemistry knowledge.
3. Spread awareness regarding safe use of chemicals and environment safety.

1. Develop understanding of principles of organic reactions, separation techniques, and titration methods.
2. Train in performing organic synthesis, separation of binary mixtures, and quantitative estimations.
3. Enhance analytical skills in identifying and differentiating organic functional groups, interpreting chromatograms, and analyzing titration results.

1. Understand basic concepts of solid waste and impacts on environment and human health.
2. Study challenges and issues in solid waste management.
3. Explore waste management strategies to preserve environment quality.
4. Understand waste-to-energy concept.

1. Understand and categorize waste.
2. Apply waste reduction techniques.
3. Design waste management systems.
4. Conduct field studies.
5. Promote sustainable practices.

1. Introduce fundamental concepts and procedures of hypothesis testing and statistical inference.
2. Develop ability to apply and interpret multiple and partial correlation and multiple linear regression.
3. Provide understanding of time series analysis, components, and applications.

1. Introduce fundamental concepts and procedures of hypothesis testing and statistical inference.
2. Develop ability to apply and interpret multiple and partial correlation and multiple linear regression.
3. Provide understanding of time series analysis, components, and applications.

1. Develop understanding of tests of significance for means, proportions, attributes, and variance.
2. Enable students to apply and interpret t-test for testing significance of correlation.

1. To enhance students’ proficiency in applying MS Excel for advanced statistical analysis and hypothesis testing.
2. To enable students to perform curve fitting, time series analysis, and tests of significance using Excel functions and tools.
3. To provide practical experience in analyzing and interpreting real-life datasets through statistical methods.

1. To introduce students to the fundamentals of R programming and data management using R Studio.
2. To develop skills in data visualization, statistical summarization, and interpretation through graphical and diagrammatic methods.
3. To enable students to perform descriptive and inferential statistical analyses, including correlation, regression, and probability simulations, using R.

1. To develop awareness of community needs, issues, and challenges.
2. To enable students to identify and analyze problem areas within the community.
3. To equip students with the ability to design and prepare effective community-based project proposals.

1. To understand and apply methods for solving first-order differential equations.
2. To model physical systems using first- and second-order differential equations.
3. To solve second-order linear differential equations and interpret related physical phenomena.
4. To apply numerical methods for initial value problems and select appropriate solution techniques.

1. To understand and apply methods for solving first-order differential equations.
2. To model physical systems using first- and second-order differential equations.
3. To solve second-order linear differential equations and interpret related physical phenomena.
4. To apply numerical methods for initial value problems and select appropriate solution techniques.