For Non-Maths Combinations Practical Course II: Wave Optics On successful completion of this practical course,the student will be able to; gain hands-on experience of using various optical instruments like spectrometer, polarimeter and making finer measurements of wavelength of light using Newton Rings experiment, diffraction grating understand the principle of working of polarimeter and the […]
Category: Syllabus
WAVE OPTICS
B.Sc. PHYSICS SYLLABUS UNDER CBCS I YEAR B.Sc.-II SEMESTER [2020-21 Batch onwards] Course II: WAVE OPTICS (For Non-Maths Combinations) ——————————————————————————————————————- Course outcomes: On successful completion of this […]
Mechanics, Waves and Oscillations Practical Course 1:
B.Sc. PHYSICS (Non-Mathematics) Practical Course 1: Mechanics, Waves and Oscillations On successful completion of this practical course,the student will be able to; perform experiments on Properties of matter such as the determination of moduli of elasticity viz., Young’s modulus, Rigidity modulus of certain materials; Surface tension of water , Coefficient of viscosity of a […]
APPLIED STATISTICS Practical PaperAPP
SEMESTER-IV PAPER V: APPLIED STATISTICS Practical Paper –V Note: Minimum of 10 practicals should be done Time Series: Measurement of trend by method of moving averages(odd and even period) Measurement of trend by method of Least squares(linear and parabola) Determination of seasonal indices by method simple averages Determination of seasonal indices by method of Ratio […]
APPLIED STATISTICS
B.A/B.Sc., STATISTICS (WITH MATHMATICS) REVISED SYLLABUS CBCS/SEMESTER SYSTEM (W.E.F 2020-21 ADMITTED BATCH) SEMESTER-IV PAPER V: APPLIED STATISTICS UNIT I Time Series: Time Series and its components with illustrations, additive, multiplicative models. Trend: Estimation of trend by free hand curve method, method of semi averages.Determination of trend by least squares (Linear trend, parabolic trend only), […]
SAMPLING TECHNIQUES AND DESIGNS OF EXPERIMENTS
SEMESTER – IV PAPER IV: SAMPLING TECHNIQUES AND DESIGNS OF EXPERIMENTS Practicals – Paper –IV Note: Minimum of 10 practicals should be done Sampling Techniques Estimation of population mean and its variance by Simple random sampling with and without replacement. Comparison between SRSWR and Stratified random sampling with proportional and optimum allocations. Comparison between proportional […]
SAMPLING TECHNIQUES AND DESIGNS OF EXPERIMENTS
B.A/B.Sc., STATISTICS (WITH MATHMATICS) REVISED SYLLABUS CBCS/SEMESTER SYSTEM (W.E.F 2020-21 ADMITTED BATCH) SEMESTER – IV PAPER IV: SAMPLING TECHNIQUES AND DESIGNS OF EXPERIMENTS UNIT I Simple Random Sampling (with and without replacement): Notations and terminology, various probabilities of selection. Random numbers tables and its uses. Methods of selecting simple random sample, lottery method, method […]
STATISTICAL INFERENCE Practicals
SEMESTER – III PAPER-3: STATISTICAL INFERENCE Practicals – Paper –III Note: Minimum of 10 practicals should be done Large sample test for single mean Large sample test for difference of means Large sample test for single proportion Large sample test for difference of proportions Large sample test for difference of standard deviations Large sample test […]
STATISTICAL INFERENCE
B.A/B.Sc., STATISTICS (WITH MATHMATICS) REVISED SYLLABUS CBCS/SEMESTER SYSTEM (W.E.F 2020-21 ADMITTED BATCH) SEMESTER – III PAPER-3: STATISTICAL INFERENCE UNIT-I Concepts: Population, Sample, Parameter, statistic, Sampling distribution, Standard error. Central limit theorem (statement only). Student’s t- distribution, F – Distribution, χ2-Distribution: Definitions, properties and their applications (No need of derivatiions) UNIT-II Theory of estimation: Estimation […]
PROBABILITY THEORY AND DISTRIBUTIONS
B.A/B.Sc., STATISTICS (WITH MATHMATICS) REVISED SYLLABUS CBCS/SEMESTER SYSTEM (W.E.F 2020-21 ADMITTED BATCH) SEMESTER – II PAPER – II: PROBABILITY THEORY AND DISTRIBUTIONS UNIT-I Introduction to Probability: Basic Concepts of Probability, random experiments, trial, outcome, sample space, event, mutually exclusive and exhaustive events, equally likely and favourable outcomes. Mathematical, Statistical, axiomatic definitions of probability. Conditional Probability […]