Course unit title

Statistics in the 21st century


Course Unit Code



Type of course unit

Short duration course

Learning outcomes of the course unit

Students who will complete this course will acquire knowledge of the latest developments in statistical theory and applications and they will be able to use these developments in tackling statistical problems in a better way than with the methods that they have learned by taking the traditional statistical courses.


Mode of delivery

Face to face


Prerequisites and co-requisites

Attendance and knowledge of all of the compulsory courses of the Department of Statistics curriculum.


Course contents

Statistics in the Life and Medical Sciences. Causal Analysis in the Health Sciences.

Environmental Statistics. Capture-Recapture Models. Statistics in Animal Breeding. Some Issues in Assessing Human Fertility. Statistical Issues in Toxicology. Receiver Operating Characteristic Methodology. Environmental Epidemiology. Challenges Facing Statistical Genetics. Computational Molecular Biology. Finance: Α Selective Survey. Statistics and Marketing. Causal Inference in the Social Sciences. Political Methodology: Α Welcoming Discipline. Statistics in Sociology, 1950-2000. Psychometrics. Empirical Methods and the Law. Statistics in the Physical Sciences and Engineering. Challenges in Understanding the Atmosphere. Seismology-A Statistical Vignette. Internet Traffic Data. Coding and Compression: Α Happy Union of Theory and Practice.The State of Statistical Process Control as We Proceed into the 21 st Century. Statistics in Preclinical Pharmaceutical Research and Development. Statistics in Advanced Manufacturing. Empirical Bayes: Past, Present, and Future. The Bootstrap and Modem Statistics.The variable Selection Problem. Robust Nonparametric Methods. Hierarchical Models: Α Current Computational Perspective. Hypothesis Testing: From Ρ Values to Bayes Factors. Missing Data: Dial Μ for ??? . Α Robust Journey in the New Millennium. Principal Information Theoretic Approaches. Measurement Error Models.Higher-Order Asymptotic Approximation: Laplace, Saddlepoint, and Related Methods. Minimaxity


Recommended or required reading

o   Statistics in the 21st Century


•Planned learning activities and teaching methods

Project presentations


•Assessment methods and criteria

Assessment of projects assigned during the course


•Language of instruction

English language