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This course is an introductory course on biostatistics, which acquaints the student with the basic concepts and methods of biostatistics, their applications, and their interpretation. Moreover, this course is structured in four parts introducing students to the basic concepts of non-parametric statistics and regression, categorical data analysis, survival analysis and clinical trials. Analytically, in the first part of this course, students are taught to understand non-parametric hypothesis testing using the Kolmogorov-Smirnov test, sign test, the DEPT. OF COMPUTER SCIENCE AND BIOMEDICAL INFORMATICS Wilcoxon test, the Mann-Whitney test, the Kruskall-Wallis test and others. Furthermore, it introduces to the students the theory of simple and multiple regression, as well as, their applications in the field of biological and medical research. In the second part, students are taught the basic procedures for analyzing categorical data. Specifically, they learn how to create contingency tables, how to apply Chi-Square tests, calculating odds ratios, as well as, performing logistic regression. In the third part, students are taught statistical methods for censored survival data arising from follow-up studies. Specifically, students are getting familiar with life tables, Kaplan-Meier survival curve estimator and Cox proportional hazards model. In the fourth part, the course aims at the implementation of selection and estimation procedures with emphasis given on human populations. The students are informed on sampling techniques such as stratified, and cluster sampling; multistage procedures. Also, in this part of the course, a thorough description of clinical trials and the corresponding theory is given (types, designing problems etc). The computer is used throughout the course, and the student gains much familiarity with the well known software package SPSS.