Syllabus: Planning of a survey, Questionnaire designing, Problems arising in the execution of a survey. Mortality, Morbidity, Comparison of morbidity data, standardisation, life tables. Principles of design, replication and randomisation, Model for a Completely randomised design, Analysis of variance for one-way classification, Standard errors for specific Comparisons. Non-parametric tests: Introduction, one sample tests, randomisation tests, Wilcoxon's one sample tests. Sign test, sign rank tests, Mann Whittney test. Simple Contingency tables, testing for independence-Fishers exact test.

Syllabus: Part A - Basic Statistical Inference Concept of Statistical Inference: Introduction, population sample, parameters, model estimators, sampling distributions. Parametric tests: Inferences about the mean of a normal population : Single sample problems : point and interval estimation of hypothesis tests when (a) is known and (b) is unknown, the distribution, concepts of degrees of freedom : Two sample problems : independent sample with (a) known population variances and (b) unknown but equal variances, pooled variance, paired samples, confidence limits and hypothesis tests for the differences between the two population means. Inferences about variance for Normal data: Point estimation, sampling distribution of the sample variance, Chi-squared distribution, interval estimation, hypothesis testing for: being equal to a specified value in the case of a single sample and being equal to variance of a second population in the case of a two sample problem: F distribution. Errors: Types of errors associated with hypothesis testing. Type I and type II errors, power of the test, power curves. Other distributions: Inference using Central Limit Theorem. Point and interval estimation and hypothesis testing for parameters in the Poisson and Binomial distributions. Comparison of two Binomial probabilities. Part B - Introduction to Computer Systems Binary notation, logical operations: AND, OR, NOT, XOR, Truth tables, Boolean algebra, logical expressions and minimisations; combinational and sequential logic devices: encoders, decoders, multiplexers, adders, registers and counters; number systems: binary, octal, hexadecimal; data representation: bytes and words; negative number representation: signed and two’s complement; memory devices: read only and read/write memory, backup storage, access and cycle time ; principles of serial and parallel data transmission, stored program control concept, brief historical development; the function and the interaction between arithmetic/logic, control and storage elements of a computer, typical instruction set: fetch and execution cycle; contemporary computing equipment: micro, mini and main frames, operational performance and relative cost, role of system software, operating system principles: multi tasking, real time and distributed systems; concept of process, background tasks, need for resource management, GUI based operating systems.

Evaluation Criteria: Inclass and take home assignments are consider here.